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					Preface   MSc & PhD in CE   MSc & PhD in EE             MSc in IT   MSc in IE   MSc & PhD in Math   MSc in ME   PhD Grads   Admissions
                                   Graduate School of
                              Science and Engineering
                                                                                             Preface
Işık University founded by the Feyziye Schools Foundation (FMV), which has served the
Turkish educational system for 125 years, is a growing institution committed to high
quality education and research. It provides a comprehensive undergraduate and graduate
education and responds to the needs of a changing world. Our Graduate School of Science
and Engineering uphold the commitment to being research-active in selectively focused
areas, providing tuition waivers in all programs. We welcome graduate students from both
academic and business world to improve their educational formation and research skills for
their challenging professional carriers in both national and international arena.


                                Prof. Dr. Sıddık B. Yarman
                              President of Board of Trustees
                                    (Founding Rector)




                                                                                        2
The Graduate School of Science and Engineering at Işık University is where students are
equipped with the knowledge and the ability to carry out independent research work. In our
institution, scholarly achievement and attainment of success coincide; the generation of ideas,
and interaction and collaboration, both in innovation and research, are encouraged.

Işık University has a fifteen year history in research, teaching and learning. The
academicians are at the forefront with research projects in fields as diverse as electronics,
telecommunications, biomedical research, mathematics, physics, information technologies,
and engineering sciences. As a graduate student, you will become a member of this dynamic
academic environment with a distinctive edge in research. We invite you to take part in our
research tradition and help create a dynamic and exciting future.

We are delighted that you have chosen our university to help enhance the quality of your
educational and professional development.




                                 Professor Nafiye Güneç KIYAK
                                            Rector




 3
                                                                                                       Preface
Our graduate school aims to provide an academic
environment with opportunities for intensive, in-depth and
creative graduate study in advanced and specialized areas.
We offer Master of Science (MSc) degree and Doctor of
Philosophy (PhD) degree in various fields.

Our MSc programs are designed to accommodate a wide
variety of students with diverse backgrounds and research
interests and guide them to extend their knowledge in their
specialty area(s) contributing to their career needs.

The purpose of our PhD programs is to prepare exceptionally
qualified individuals for their careers in science and
engineering with strong emphasis on both their research
capabilities and original contributions to the knowledge in
the chosen field.                                                            Prof. Mustafa Karaman
                                                                                            Director
The graduate programs are conducted by our distinguished                 Graduate School of Science
faculty members affiliated with the science and engineering                         and Engineering
departments. We encourage both our faculty and graduate
students to participate in funded scientific and industrial
projects and to attend national and international conferences
as well as publish their research results in scientific journals.




  PhD Programs
  • Computer Engineering
  • Electronic Engineering
  • Mathematics

  MSc Programs (Thesis/Non-Thesis)

  • Computer Engineering
  • Electronic Engineering
  • Industrial Engineering - Operations Research
  • Information Technologies
  • Mathematics (Thesis only)
  • Mechanical Engineering

  Instruction Language         Classes and thesis studies in all programs are in English.

  Location                     All classes are at Maslak Campus in the evenings
                               (after work hours) and on the weekends

  Tuition Fee                  Call or check the web page for package-based
                               fees of the MSc and PhD programs.

  Tuition Waiver               Partial and full tuition waivers for each program
                               are available.




                                                                                                4
     Graduate Programs




                          MSc & PhD in CE
in Computer Engineering
Graduate Programs in Computer Engineering


Master of Science Program
The Master of Science Program in Computer Engineering offers thesis and non-thesis options.
The thesis option requires a minimum of 21-credit hours of course work, a non-credit seminar
course, and completion of a Master of Science Thesis. The thesis option requires a minimum of
12 credits of the course load from CSE coded courses, where 6 credits of these may be taken
from upper level undergraduate CSE coded courses. The remaining 9-credit course requirement
can be completed by courses offered in other graduate programs. The non-thesis option
requires a minimum of 30-credit hours of course work and completion of a Master of Science
Project. This option requires a minimum of 15 credits of the course load from CSE coded
courses, where 9 credits of these may be taken from upper level undergraduate CSE coded
courses. The remaining 15-credit course requirement can be completed by courses offered in
other graduate programs. Registration to any courses requires advisor approval.



Doctor of Philosophy Program
The Doctor of Philosophy Program in Computer Engineering consists of a formal course work,
passing a qualifying exam, presentation of a dissertation proposal and successful defense of a
dissertation. The program requires a minimum of 21-credit hours of course work for students
entering the program with a Master of Science degree or a minimum of 42-credit hours of
course work for students entering the program with a Bachelor of Science degree. Every PhD
candidate must take a minimum of 12-credit hours of course work from graduate level CSE
coded courses. Registration to any courses requires advisor approval.



Course List
CSE 500 Graduate Seminar                          CSE 565 Artificial Neural Networks
CSE 501 Advanced Software Engineering             CSE 566 Machine Learning
CSE 505 Software Processes                        CSE 567 Image Processing
CSE 513 Advanced Algorithms                       CSE 572 Cryptography
CSE 514 Programming Languages                     CSE 580 Term Project
        Syntax and Semantics                      CSE 581 - 589 Special Topics in Computer
CSE 520 Advanced Database Systems                         Engineering I – IX
CSE 529 Data Mining                               CSE 590 M.S. Thesis
CSE 531 Advanced Operating Systems                CSE 640 Advanced Topics in Parallel and
CSE 537 Advanced Network Programming                      Distributed Computing
CSE 538 Computer Network Analysis                 CSE 645 Computer Performance Evaluation
        and Design                                CSE 661 Advanced Natural Language
CSE 546 Advanced Computer Architectures                   Processing
CSE 547 Fault Tolerant Computing                  CSE 664 Computer Speech Processing
CSE 550 Advanced Computer Graphics                CSE 681-689 Special Studies in Computer
CSE 560 Advanced Artificial Intelligence                  Engineering
CSE 562 Pattern Recognition                       CSE 690 Ph.D. Thesis
CSE 563 Computer Vision



 7
                      MSc & PhD in CE
    FACULTY
       &
RESEARCH TOPICS




                  8
Ercan Solak
Professor (Chairperson)




Degrees
2001 PhD       Electrical Engineering, Bilkent University, Turkey
1996 MSc       Electrical Engineering, Bilkent University, Turkey
1994 BSc       Electrical Engineering, Bilkent University, Turkey

Positions
2010 -         Professor, Dept. of Computer Engineering, Işık Univ., Istanbul, Turkey
2008 -         Head of Department, Dept. of Computer Engineering, Işık Univ., Istanbul
2006 - 2010    Associate Professor, Dept. of Computer Engineering, Işık Univ., Istanbul,
2005 - 2006    Associate Professor, Dept. of Electrical Engineering, TOBB ETU, Ankara,
2004 - 2005    Assistant Professor, Dept. of Electrical Engineering, TOBB ETU, Ankara
2003 - 2004    Senior Researcher, TÜBİTAK-UEKAE, Kocaeli,
2001 - 2003    Postdoctoral Research Fellow, University of Strathclyde, Glasgow, Scotland

Highlights
• Editor for TJEECS
• Guest Assiciate Editor for IJBC
• Panelist for TÜBİTAK
• Referee for TEYDEB and TTGV

Research Interests
• Chaos cryptography MANETs

Contact
Phone: +90 - 216 - 528 7149
E-mail: ercan@isikun.edu.tr
Web: http://www2.isikun.edu.tr/personel/ercan.solak/




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                                                                                                    MSc & PhD in CE
Research Problems for MSc & PhD Students
Cryptanalysis of Chaotic Ciphers:
Chaotic systems exhibit random-like
behavior which intrigued researchers to
apply them in cryptography. Cryptanalysis
is an integral part of any serious effort in
designing secure encryption algorithms.
Indeed, a cryptosystem is only as secure as
the most powerful known attack that failed
to break it. The situation is not different for
chaos-based ciphers. Before attempting to
design a new chaotic cipher, it is essential
that the designers have a thorough grasp of
the existing attacks and cryptanalysis tools.
There is a large variety of chaotic ciphers
proposed in the literature. Consequently,
their cryptanalyses come up with equally
diverse attacks.

Each attack tries to exploit weaknesses that are specific to the particular chaotic cipher. Thus,
it is somewhat difficult to devise common non-trivial attacks that can be applied against a
range of chaotic ciphers. On the other hand, such diversity of designs works against the security
of the chaos-based ciphers. Rather than using well-analyzed and tested building blocks, there
seems to be a general tendency to try novel and fancier structures, thus opening new venues for
attacks.



Mobile ad hoc networks over transportation networks:
Most of new generation vehicles are
produced with embedded wireless network
capabilities. An ad hoc wireless network can
be built on top of such an infrastructure. This
raises many interesting problems ranging
from fairness to security. Such vehicular area
networks (VANET) can be used for sensing
for data related to traffic and life quality
in metropolitan area. The usual problem
problems of data collection, aggregation
and analysis is combined with constraints
imposed by the topology of underlying
transportation network. On other end of
the scale is the commercial use of VANET
for displaying ads and announcements.
Issues in combining such a system with
geographic information systems. Efficient
pricing and scaling of ads in this setting pose
computationally hard problems.




                                                                                            10
Emine EKİN
Assistant Professor




Degrees
2006 PhD      Computer Engineering, Dokuz Eylül Univ., Izmir, Turkey
1999 MSc      Computer Engineering, Izmir Institute of Technology, Izmir, Turkey
1995 BSc      Electrical and Electronics Eng., Dokuz Eylül Univ., Izmir, Turkey


Positions
2009 –      Asst.Prof., Computer Engineering Dept, Işık University, Istanbul, Turkey
2006 – 2009 Instructor, Computer Engineering Dept. Dokuz Eylül Univ., Izmir, Turkey


Research Interests
• Software engineering
• Multi agent systems
• Robotics


Contact
Phone: +90 - 216 - 528 7144
E-mail: emine.ekin@isikun.edu.tr




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                                                                                                   MSc & PhD in CE
Active Research Projects
with Openings for MSc & PhD Students


Autonomous Model Car Development:

On a mechanical structure of a model car,
which is controlled by a remote controller,
an infrastructure containing microcontroller
cards, several sensors, and a computer have
been installed. Using artificial intelligence
algorithms to detect obstacles in the
environment, this car is able to move one
point to another point desired in static
environment without any human interaction.
Improving the algorithms, it is aimed to move
the car in outdoor dynamic environments, in
which the obstacles may appear, disappear
or change positions in time.




Nao Robots in 3D Soccer Simulation Environment:
The purpose is to develop a team of Nao
robots which is able to play soccer, score
goals, and as an ultimate aim a team which
is able to win the game. Given a 3D soccer
simulator and robot model, there are two
steps in the project: First, developing the
algorithms manipulating robot behavior, such
as walking, kicking the ball etc. The second
step is to develop the team behavior.




Verifying UML Models:

Formal Verification is known to be proving or disproving correctness of a system. Since
verification of software systems heavily involves theorem proving, usually a domain expert is
required. Although there are some tools which attempt to automate software verification, model
checking in particular, they are all driven by the user’s understanding of the system to verify.
The aim of this project is to bridge the gap between the well known, widely accepted software
modeling tool, i.e., UML, and formal verification techniques; and to develop an extension to UML
which allows the modelers to check their designs automatically.


                                                                                           12
Mustafa Taner Eskil
Assistant Professor




Degrees
2005 PhD      Computer Science and Engineering, Michigan State University, USA
1999 MSc      Systems and Control Engineering, Boğaziçi University, Istanbul, Turkey
1997 BSc      Mechanical Engineering, Boğaziçi University, Istanbul, Turkey


Positions
2006 –        Assistant Professor, Comp. Science and Eng., Işık Univ., Istanbul, Turkey
2005 – 06     Post-Doctoral Fellow, Engineering and Natural Sciences, Sabancı University,
              Istanbul, Turkey

Highlights
• Işık Univ. Comp. Eng. Dept. Best Instructor Award (2007, 2008, 2009, 2010)
• Işık Univ. Best Advisor Award (2008)


Research Interests
• Facial expression analysis and simulation
• Artificial Intelligence
• Image Processing


Contact
Phone: +90 - 216 - 528 7155
E-mail: eskil@isikun.edu.tr
Web: http://pi.isikun.edu.tr/




 13
                                                                                                       MSc & PhD in CE
Active Research Projects
with Openings for MSc & PhD Students
Facial Expression Analysis and Synthesis (Funded by Tübitak 2009-2012):

Human face shelters most of the sense organs
and important expression mechanisms. Face
serves as an interface for one of the principal
modes of interpersonal communication. Our
goal is to track the emotion of a face in a
video and determine the muscle activations.
The muscle activations that compose a facial
expression are solved under the constraints of
an anatomical face model. Using these muscle
activations we will be able to automatically
detect subtle facial expressions. These
expressions give us clues about the emotional
state of the subject, such as happiness,
surprise, anger, sadness, nervousness and
deception.

Neural Network Ensembles:
Artificial neural networks is one of the oldest fields of Artificial
Intelligence. Inspired by the human brain, an artificial neural
network is composed of neurons, each firing electrical signals
over axons to other connected neurons. A neuron will be active
and fire only if it is stimulated to sufficient level by other neurons
or sensory inputs. Artificial neural networks have been used
successfully in many real life application areas such as game
playing, vehicle control and financial predictions. In this research project, we are testing if
previously learned concepts would enhance learning of brand new concepts. We first train
individual neural networks on simpler problems and create an ensemble of these networks to
test its performance in dealing with more complex problems.


Real-Time Defect Detection of Pantographs in Rail Transport:

Pantograph is the device that conducts electricity
from the catenary wires to the train. The
catenary wires that hover above the train may
suffer from metal fatigue and yield or produce
bulges. Its impact on a train that travels at 120
km/h can be catastrophic. These impacts could
break the pantograph, even worse the catenary
wire, which brings all trains on the same route
to standstill. In this project we installed a high-


resolution camera on an inter-city train to collect data. We are developing an image processing
application to automatically detect electrical arcs, impacts and defects on the pantograph. This
information will be instantly transmitted to the central control office over the GSM-R (Global
System for Mobile Communications – Railway) network. Early detection of light impacts and
small defects will prevent catastrophic failures.
                                                                                                  14
Ali İnan
Assistant Professor




Degrees
2010 PhD      Computer Science, University of Texas at Dallas, Dallas, TX, U.S.A.
2006 MSc      Computer Science, Sabanci University, Istanbul, Turkey
2004 BSc      Computer Engineering, Sabancı University, Istanbul, Turkey


Positions
• 2010–       Asst. Prof., Dep. of Computer Engineering, Işık Univ., Istanbul, Turkey
• 2009–09     Summer Intern, Bell Labs, Alcatel-Lucent Inc., Murray Hill, NJ, U.S.A.
• 2005–06     Researcher, EU 6th FP GeoPKDD Project, Sabanci Univ., Istanbul, Turkey
• 2003–03     Summer Intern, Oracle Comp. Systems Corp., Istanbul, Turkey


Highlights
• IEEE member since 2008
• ACM CODASPY’12 Publicity Chair
• Number of Papers + Presentations: 20+


Research Interests
• Data mining
• Database systems
• Machine learning


Contact
Phone: +90-216-528 7137
E-mail: ali.inan@isikun.edu.tr
Web: http://www2.isikun.edu.tr/personel/ali.inan/




 15
                                                                                                      MSc & PhD in CE
Research Problems for MSc & PhD Students
Smartphone Application Recommendation System:

As the market of smart mobile phones (e.g.,
iPhone, Android, Blackberry) grows steadily, so
does the market of smartphone applications.
Currently, no application market goes beyond a
simple directory of popular applications. End-
users are in vital need of a personalized tool
that can offer new and interesting applications
based on their profile information. Even though
recommender systems for different various
domains (e.g., books, movies, etc.) have been around for a while now, the domain of mobile
phone application has its own challenges. As an MSc or PhD student, you will design and
implement recommendation systems for smartphone application markets.



Privacy Analysis of Online Social Networks:

Members of online social networks (e.g., Facebook) rarely
consider what kind of private personal information is released
to whom. Most persons enter their true date of birth (DoB) such
that friends are reminded of their birthday every year. Also,
most online social networking websites publicly release every
member’s friend-list, where a malicious person could easily
identify a member’s mother’s maiden name. These two pieces
of information (DoB and mother’s maiden name) are typically
used for authentication in online banking systems. The threat
of impersonation is obvious and requires careful analysis. Students that work on this problem will
collect profile information of members of a popular online social network and analyze imminent
security threats implied by the data.


Privacy Preserving Data Mining:
Data mining tries to extract knowledge from
large amounts of data. More data translates
into better data mining models, as a result of
which, data holders often combine data sets
and apply data mining over the union. However,
data collecting agencies are responsible to their
respondents in protecting the respondents’
individual privacy. For example, in the
healthcare domain, hospitals cannot release
medical histories of their patients without
obtaining proper consent forms. Privacy preserving data mining (PPDM) is a new field that tries
to obtain useful patterns from data while at the same time respecting individual privacy of the
involved persons. Interested students that want to work on this field are expected to be informed
in (or willing to learn) data mining, security and secure multi-party computation. Researchers will
develop new methods that enable PPDM in distributed scenarios and provide formal proofs of
security/privacy of their methods.



                                                                                                16
F. Boray Tek
Assistant Professor




Degrees
2003-07      PhD School of Electronics and Computer Science (Form. School of Informatics),
             University of Westminster, London
2000-02      MSc Electrical and Electronics Eng., Middle East Technical University, Ankara
1996-00      BSc Electrical and Electronics Eng., Başkent University, Ankara


Positions
2010-        Assis. Prof. Faculty , Işık University, Istanbul, Turkey
2008-09      Research Engineer, MedicSight, London, UK
2007-08      Post-Doctoral Research Fellow, University of Westminster, London
2000-03      Researcher, Tubitak Bilten, Middle East Technical University, Ankara


Research Interests
• Computer Vision
• Machine Learning
• Robotics
• Medical Image Processing


Contact
Phone: +90 - 216 - 528 7145
E-mail: boray@isikun.edu.tr
Web: http://boraytek.blogspot.com
     http://ravlab.isikun.edu.tr/




 17
                                                             MSc & PhD in CE
Active Research Projects with
Openings for MSc & PhD Students
Autonomous Model Car

In this project, our aim is to navigate a small scale
model car without human intervention. We have
a group of 6 people working on different parts
of a design which integrates a small scale model
car, several sensors, a microprocessor board and
an onboard computer. There are challenges in
various grounds such as dealing with electronics,
microprocessors, and algorithms. The research
now is mainly focused on visual obstacle detection,
avoidance, and path planning.



Autonomous Air Vehicle:

A model quadcopter (four-bladed) air vehicle is
equipped with a computer, several sensors, and a
microcontroller board. The aim is to fly the copter
to a given short distance geolocation without any
human intervention. The challenges involve visual
obstacle detection, avoidance and path planning.



Computerized Diagnosis of Malaria

Detecting malaria infection using a microscope
is a time consuming and tedious task. The
challenge is to analyse the images taken by a
microscope and detect malaria parasites which
invade regular red blood cells. Our approach
applies image processing and machine learning
techniques to the problem.


Analysis of Computerized
Tomography Scans

Computerised tomography is a technique
to produce 3D volumetric scans of inner
body parts. The radiologists then study the
scans to detect tumorous tissues, polyps,
or abnormalities. We focus on detection of
tumoruous legions in the lung and colon organs.
The research involves application of image
processing and machine learning techniques.
                                                        18
Olcay Taner Yıldız
Assistant Professor




Degrees
2005 PhD      Computer Engineering, Bogazici University, Istanbul, Turkey
2000 MSc      Computer Engineering, Bogazici University, Istanbul, Turkey
1997 BSc      Computer Engineering, Bogazici University, Istanbul, Turkey

Positions
2005 –      Assistant Professor, Department of Computer Engineering., Işık University,
            Istanbul, Turkey
1997 – 2005 Research Assistant, Department of Computer Engineering, Boğazici University,
            Istanbul, Turkey


Highlights
• Learning and Intelligent Optimization Conference 2011 Best Paper Award
• Number of Papers: 30+
• Number of SCI Citations: 60+


Research Interests
• Machine Learning
• Robotics
• Natural Language Processing


Contact
Phone: +90 - 216 - 528 7157
E-mail: olcaytaner@isikun.edu.tr
Web: http://haydut.isikun.edu.tr




 19
                                                                                                        MSc & PhD in CE
Active Research Projects
with Openings for MSc & PhD Students
Comparison of supervised learning algorithms using
statistical techniques:

We have been working on statistical tests for a considerable time: The 5x2 cv F test compares
two classification algorithms (Alpaydın, 1999), the MultiTest method is used to order multiple
classification algorithms on a given dataset (Yıldız and Alpaydın, 2006). In this project, our aim is
to continue and extend these studies so as to develop novel statistical methods that can compare
multiple classification algorithms on multiple data sets and order them from best to worst. In
order to accomplish this, we will generalize the parametric and non parametric tests to order an
arbitrary number of supervised (classification and regression) algorithms on an arbitrary number
of data sets while at the same time allowing them to use performance metrics other than the
error rate.


Statistical machine translation from English to Turkish:
In this project, we propose a statistical
machine translation (SMT) approach using
synchronous grammars for English-Turkish
language pair. The proposed approach
is based on the idea that is to develop a
statistical model using syntactically aligned
data set. We expect to improve the translation
performance of classical SMT models related
with syntactic reasons and syntactically
related words.



Software Defect Prediction using Kernel Methods:
In this project, we propose a novel method
that uses plagiarism detection tools for
the solution of defect prediction problem.
Although the defect prediction problem has
been researched for a long time, the results
achieved are not so bright. Extracting metrics
of a software is not easy and even if the
metrics are extracted, finding a relationship
among the metrics and defectiveness is not
a straight-forward process. We use kernel
methods to model the relationship between
source code similarity and defectiveness. We
believe that structurally similar code patterns
(either good or bad) are a good hint to predict
defectiveness.




                                                                                                 20
 Graduate Programs in
Electronics Engineering




                          MSc & PhD in EE
Graduate Programs in Electronics Engineering
Master of Science Program
The Master of Science Program in Electronics Engineering offers thesis and non-thesis options.
The thesis option requires a minimum of 21-credit hours of course work, a non-credit seminar
course, and completion of a Master of Science Thesis. The thesis option requires a minimum
of 12 credits of the course load from EE coded courses, where 6 credits of these may be taken
from upper level undergraduate EE coded courses. The remaining 9-credit course requirement
can be completed by courses offered in other graduate programs. The non-thesis option
requires a minimum of 30-credit hours of course work and completion of a Master of Science
Project. This option requires a minimum of 15 credits of the course load from EE coded courses,
where 9 credits of these may be taken from upper level undergraduate EE coded courses. The
remaining 15-credit course requirement can be completed by courses offered in other graduate
programs. Registration to any courses requires advisor approval.


Doctor of Philosophy Program
The Doctor of Philosophy Program in Electronics Engineering consists of a formal course work,
passing a qualifying exam, presentation of a dissertation proposal and successful defense of a
dissertation. The program requires a minimum of 21-credit hours of course work for students
entering the program with a Master of Science degree or a minimum of 42-credit hours of
course work for students entering the program with a Bachelor of Science degree. Every PhD
candidate must take a minimum of 12-credit hours of course work from graduate level EE
coded courses. Registration to any courses requires advisor approval.



Course List
EE 500 Graduate Seminar                          EE 555 High Speed Communication
EE 502 Probability & Stochastic Processes               Networks
EE 505 Information Theory & Coding               EE 570 Advanced Microwave Circuit Design
EE 510 Digital Communications                    EE 580 Term Project
EE 515 Mobile Communication Systems              EE 581-589 Special Topics in Electronics
EE 520 Linear System Theory                             Engineering I-IX
EE 525 Wireless Networks                         EE 590 M.S. Thesis
EE 530 Advanced Complex Analysis                 EE 592 Microwave Amplifiers
EE 535 Wireless Communications                   EE 595 Estimation Theory
EE 540 Advanced Digital Signal Processing        EE 610 Applied Electromagnetic Theory
EE 541 Communication Networks                    EE 681-689 Special Studies in Electronics
EE 545 Adaptive Signal Processing                       Engineering I-IX
EE 550 Array Signal Processing                   EE 690 Ph.D. Thesis




 23
                   MSc & PhD in EE
    FACULTY
       &
RESEARCH TOPICS




              24
Ahmet Aksen
Professor (Chairperson)




Degrees
1994 PhD      Electronics Engineering, Lehrstuhl für Nachrichtentechnik, Ruhr-Universitaet,
              Bochum, Germany
1985 MSc      Electronics Engineering, Middle East Technical University, Ankara, Turkey
1981 BSc      Electrical and Electronics Eng., Middle East Technical University, Ankara, Turkey


Positions
2005 –        Head of Electronics Engineering, Işık University, Istanbul, Turkey
2000 – 05     Head of Computer Engineering, Işık University, Istanbul, Turkey
1997 – 00     Assoc. Prof., Electronics Eng. Dep., Işık University, Istanbul, Turkey
1995 – 97     Assoc. Prof., Electrical-Electronics Eng. Dep., Istanbul University,
              Istanbul, Turkey


Research Interests
• Broadband matching
• Microwave circuit design
• Multidimensional network theory


Contact
Phone: +90 - 216 - 528 7130
E-mail: aksen@isikun.edu.tr




 25
Research Problems
for MSc & PhD Students
Major research interest is in the field of wideband RF and microwave front-end design.
The main objective of the proposed research works is to develop tools to accomplish




                                                                                                     MSc & PhD in EE
accurate characterization and design of RF subsystems, facilitating miniaturized designs
with easy manufacturing and improved overall system performance. Because of the need
for miniaturization, accurate modeling of physical components is essential in the Microwave
Integrated Circuit (MIC) design of wideband RF subsystems, such as amplifiers, filters, matching
networks and phase arrays. In the design process, besides the active devices and passive
components, refined models are needed for treatment of device to circuit medium interfaces
incorporating parasitic effects and junction discontinuities. In this regard,
utilization of mixed lumped - distributed multidimensional circuit models to describe the
inter-stage equalizers and interconnects, offers advantages for accurate simulation of MIC
layouts. The new modeling tools will find practical applications in the behavior characterization,
simulation and design of high speed/high frequency analog/digital communication sub-systems
manufactured on MIC chips. The outcomes of the research programs are expected to be design
algorithms and toolboxes for various classes of problems (including different interconnection
geometries for MIC implementation, RF filters, matching equalizers, antenna matching,
adaptive phase arrays, multistage amplifiers, low noise linear amplifiers), as well as benchmark
comparison with other techniques and tools. In this context, the following particular topics can
be conducted as MSc or PhD thesis:


• Development of a Real Frequency Broadband Matching Toolbox for synthesis based optimum
  design of lossy broadband equalizers and interconnects.

• Development of multi-dimensional circuit modeling tools for passive microwave circuits with
  physical implementation parameters. Mixed lumped-distributed circuit characterization via
  multivariable scattering and immitance representations.

• Filter design with mixed lumped-distributed elements, multiple-band filtering.

• Design of multistage linear microwave power amplifiers and the study of linearity and
  efficiency tradeoffs.

• Multidimensional Wave Digital Filters in electromagnetic simulation problems, numerical
  solution of linear/nonlinear partial differential equations.




                                                                                              26
Hasan F. Ateş
Associate Professor




Degrees
2004 PhD      Electrical Engineering, Princeton University, New Jersey, USA
2000 MA       Electrical Engineering, Princeton University, New Jersey, USA
1998 BSc      Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey

Positions
2005 –        Assist.Prof., Dep. of Electronics Eng., Işık University, Istanbul, Turkey
2004 – 05     Post-Doctoral Fellow, Telecom. Eng., Sabancı University, Istanbul,Turkey

Highlights
• Princeton Univ. Gordon Wu Fellow
• TÜBİTAK Career Award
• Number of Papers + Presentations: 20+
• Number of completed/continuing projects: 8

Research Interests
• Image/video processing
• Data compression
• Wavelets and filterbanks
• DSP programming

Contact
Phone: +90 - 216 - 528 7133
E-mail: hfates@isikun.edu.tr
Web: http://www2.isikun.edu.tr/personel/hfates/




 27
Active Research Projects with
Openings for MSc & PhD Students
Encoder assisted resolution enhancement for compressed videos:




                                                                                                    MSc & PhD in EE
Today, television and film industry is going digital very fast. The demand for high quality video
and TV broadcasting, and the proliferation of large screen LCD and plasma TV sets necessitate
the production and transmission of spatially and temporally higher resolution (HR) content. The
bandwidth required for high-definition (HD) broadcasting creates a bottleneck for the limited
available resources of wired or wireless multimedia networks. The recently developed video coding
standards (i.e., MPEG-4, H.264) and video quality enhancement techniques make it possible to
broadcast in HD using such limited bandwidths. In this project, we propose an original video
coding framework in which resolution enhancement (increasing frame resolution and/or frame
rate) is also an integral part of the encoder-decoder (codec). The main goal is to combine video
enhancement tools with coding approaches to achieve higher quality videos at lower bitrates.




Forensic Image and Video Enhancement
This project aims to develop a forensic
image processing software tool which will
be deployed by Criminal Police Laboratories
(CPL). The major goal of the forensic image
processing software shall be satisfied by
means of developing customized image
enhancement and restoration tools. Image/
video denoising, video stabilization, super-
resolution, low-light / low-resolution image
enhancement algorithms are among the
desired set of tools to be implemented.

Burak Çizmeci (MS 2009): Ph.D. candidate
at Institute of Media Technology, Technische
Universitaet Muenchen, Munich, Germany.
Currently working on Haptic Communication.



                                                                                            28
Ebru Gürsu Çimen
Instructor




Degrees
2000 PhD      Electronics Engineering, Istanbul University, Istanbul, Turkey
1994 MSc      Electronics Engineering, Istanbul University, Istanbul, Turkey
1992 BSc      Electrical and Electronics Eng., Gazi University, Ankara, Turkey


Positions
2000 –        Lecturer, Dep. of Electronics Eng., Işık University, Istanbul, Turkey
1997 – 00     Research and Teaching Assistant, Dep. of Electronics Eng., Işık University,
              Istanbul, Turkey
1993 – 97     Research Assistant, Istanbul University, Dep. of Electronics Engineering,
              Istanbul, Turkey

Highlights
• Number of Papers + Presentations: 11


Research Interests
• Broadband matching network design
• Computer aided microwave circuit design
• Numerical methods in matching circuit design.


Contact
Phone: +90 - 216 - 528 7134
E-mail: ebrugc@isikun.edu.tr




 29
Yorgo İstefanopulos
Professor




                                                                                              MSc & PhD in EE
Degrees
1972 PhD          Electrical Engineering, Massachussetts Institute of Technology,U.S.A
1969 MSc          Electrical Engineering, Massachussetts Institute of Technology,U.S.A
1967 BSc          Electrical Engineering, Robert College , Istanbul,Turkey

Positions
2005-         Dean, Faculty of Engineering, Işık Univ., Istanbul, Turkey
2005          Prof., Dep. of Electronics Engineering, Işık Univ., Istanbul, Turkey
1994–2005     Director, Institute of Biomedical Engineering, Boğaziçi University
1994-2005     Boğaziçi University Research Fund Executive Committee member
1982-1994     Assistant Director, Institute of Biomedical Eng., Boğaziçi Univ.
1992-1998     Chairman. Electrical& Electronics Dep., Boğaziçi University
1982-1994     Vice- Chairman. Electrical& Electronics Dep., Boğaziçi University
1985-2005     Founder and Chairman of Graduate Program in Systems and Control Eng.,
              Boğaziçi University
1985-1986     Visiting position, The Ohio State University, U.S.A.

Highlights
• SCI&SCI-E Journal papers:20
• Books : 8, Book Sections: 9
• International Conference papers:60, National Conference papers: 38

Contact
Phone: +90 - 216 - 528 7120
E-mail: istef@isikun.edu.tr
                                           Research Interests
Conference Organizations
                                           • Automatic Control Systems,
• IEEE EMBS , General Chair, 2001            Fuzzy Control Systems
• IEEE ISIC , General Chair, 1997          • Digital Control and Applications
• IFAC ACE, National Chair, 1997           • Signals and System Analysis
• BİYOMUT, Chair since 1994-present          and Design, Biological Signal
• TOK, Organizing Committee                  Analysis
   member 1994-present


                                                                                         30
Nafiye Güneç Kıyak
Professor, Rector

Degrees
1988 PhD      Nuclear Physics, AU
1982 MSc      Nuclear Engineering, İTÜ, Ins. for Nuclear En.
1976 BSc      Physics, Istanbul University

Positions
2011-         President, Işık University, Istanbul, Turkey
2010-11       Vice-President, Işık University, Istanbul, Turkey
2000-08       Member, Executive Board of Işık University,
              Istanbul, Turkey
2000-06       Senator, Işık University, Istanbul, Turkey
2000-08       Member, Executive B. Fac. of Sci.&Arts of Işık University, Istanbul, Turkey
2001-04       Deputy, Vice-President, Graduate School of Sci&Eng. Founder, Işık University,
              Istanbul, Turkey
2000-05       Head of Physics Department, Founder, Işık University, Istanbul, Turkey
1996-98       Vice President of Graduate School of Science, KOÜ, Turkey
1995-98       President of Prof. School of Phy. Edu. and Sports, Founder, KOÜ, Turkey
1995-98       Senator of Professional School, KOÜ, Turkey
1994-97       Member, Executive B. Fac. of Sci.&Arts , KOÜ, Turkey
1994-99       Head of Nuclear Physics Division, KOÜ, Turkey
1990-92       Post-Doctoral Fellow, Gesellsch.Für Str. Abteilung für Str.Shutz
              Umveltforschung , Germany
1983-94       Turkish Atomic Energy Agency Research Scient. Radiation Protec.Dep.
              Istanbul, Turkey

Highlights
• IAEA (International Atomic Energy Agency) Fellowship
• The Scholarship of Turkish Petroleum Corporation (TPAO)
  during graduate studies
• TUBITAK-BAYG
• A scholarship during undergraduate studies
  (Republic of Turkey, Ministery of National Education)
• Number of Papers + Presentations: 100+

Research Interests
• Archeometry
• Thermoluminescence/ Optically Stimulated Luminescence
• Radiation dosimetry and environmental analysis
• Study on quartz mineral- luminescence and dosimetric properties
• Dating of ceramic art objects and archeological ceramic materials
• Chronological studies on building materials using luminescence methods
• Authenticity tests for ceramic art objects
• Age assessment of geological sediments (tsunami, terrace evolution, faults etc.)

Contact
Phone: +90 - 216 - 528 7014
E-mail: kiyak@isikun.edu.tr


 31
Active Research Projects
with Openings for MSc & PhD Students
Quaternary Cemented Coastal Deposits on Şile and Karaburun coasts




                                                                                                   MSc & PhD in EE
(Istanbul) and Their Paleo-Environmental Significance

The tightly cemented coastal deposits typical of
both beachrocks and eolianites in regard to their
sedimentological and stratigraphical characteristics
are observed on Şile and Karaburun coasts. Based
on mineralogical, petrographical, sedimentological
characteristics as well as stable isotope compositions,
these structures yield good clues in understanding
Late Pleistocene-Holocene coastal dynamics
controlled by sea waves, coastal currents and offshore
winds. In this project, it is aimed to investigate Late
Pleistocene-Holocene sea-level changes and tectonic
impacts based on data from different absolute dating
(OSL and AMS Radiocarbon) applications, stable
carbon (13C/12C) and oxygen (18O/16O) isotopes
and various spectroscopic analyses of these deposits
observed between the Doğanca-Alacalı area, west
of Şile and Karaburun (Çatalca). It is aimed to contribute to current studies that focus on
understanding the impacts of Late Quaternary sea level changes and tectonic movements on
Black Sea coast of Turkey. This is conducted in collaboration with a research group at Canakkale
Onsekiz Mart University, Çanakkale, Turkey.


The Origin and Age of Beachrocks on the Coast of Lake Iznik and
Their Linkages to the Late Quaternary Lake-level Variations:
Beachrock cementation is associated with amalgamation of loose beach sediments due to
the precipitation of the connective carbonate polymorphs (mostly high magnesium calcite
and aragonite) material between their interstices. This process gives rise to the formation
of beachrock throughout the intertidal partings of tropical and subtropical coasts. Four main
agents of the precipitation of calcium carbonate cement have been recorded so far, i.e. mixing
of marine and meteoric waters, CO2 degassing of shallow groundwater, evaporation of sea
water and micro organisms.

On Turkey’s long coastline of 8333 km, beachrocks have a wide distribution in particular on
the Mediterranean Sea coast. The aim of this study is to make a contribution to the proper
understanding of beachrock formation in a fresh-water lake environment with special emphasis
on the nature of the cement in beachrock on the west coast of the Gelibolu Peninsula,
Northwest Turkey, on the basis of SEM/EDX analyses along with thin section interpretations and
Optically Stimulated Luminescence dating estimations. The studied carbonate cemented rocks
were studied at 10 different locations throughout the Lake Iznik shoreline in Northwest Turkey.
This is conducted in collaboration with a research group at Çanakkale Onsekiz Mart University,
Çanakkale, Turkey.




                                                                                             32
Hakan Gürkan
Assistant Professor




Degrees
2005 PhD      Electronics and Telecommunication Engineering, The Institute of Science,
              İstanbul Technical University, Turkey
1998 MSc      Electronics and Telecommunication Engineering, The Institute of Science,
              İstanbul Technical University, Turkey
1994 BSc      Electronics and Telecommunication Engineering, The Institute of Science,
              İstanbul Technical University, Turkey


Positions
2009          Assist. Prof., Electrical-Electronics Engineering, Isik University, Istanbul, Turkey
2005          Research Associate, Electrical-Electronics Engineering, Isik University,
              Istanbul, Turkey
1998          Research and Teaching Assistant, Electrical-Electronics Engineering,
              Isik University, Istanbul, Turkey

Research Interests
• Biomedical Signal Processing
• Biometric Recognition
• Speech Processing
• Data Compression

Highlights
• Number of Citations : 10+
• Number of SCI Papers: 5+
• Number of conference papers + Presentations: 30+
• Number of completed/continuing projects: 8

Contact
Phone: +90 - 216 - 5287139
E-mail: hakan@isikun.edu.tr
Web: http://ee.isikun.edu.tr/hgurkan.html




 33
Active Research Projects
with Openings for MSc & PhD Students
A New Method to Represent Speech Signals
Via Predefined Envelope and Signature Sequences:




                                                                                                        MSc & PhD in EE
In this project, a novel systematic procedure referred to as “SYMPES” to model speech signals is
introduced. The structure of SYMPES is based on the creation of the so-called predefined “signature
S={SR(n)} and envelope E={EK(n)}” sets. These sets are speaker and language independent. Once
the speech signals are divided into frames with selected lengths, then each frame sequence Xi(n)
is reconstructed by means of the mathematical form Xi(n)=CiEK(n)SR(n). In this representation,
Ci is called the gain factor, SR(n) and EK(n) are properly assigned from the predefined signature
and envelope sets, respectively. Examples are given to exhibit the implementation of SYMPES. It is
shown that for the same compression ratio or better, SYMPES yields considerably better speech
quality over the commercially available coders such as G.726 (ADPCM) at 16 kbps and voice excited
LPC-10E (FS1015) at 2.4 kbps. This study is conducted with Assist. Prof. Dr. Ü. Güz (Işık University)
and Prof. Dr. B. S. Yarman (Istanbul University).




                                                                                              34
ECG signal compression based on classified
signature and envelope vector sets:
In this paper, an efficient compression algorithm for Electrocardiogram (ECG) signals is
presented. The proposed algorithm combines two processes: modeling ECG signal by Variable-
Length Classified Signature and Envelope Vector Sets (VL-CSEVS) and residual error coding
via wavelet transform. It is assumed that both the transmitter and the receiver units have the
same VL-CSEVS. The proposed algorithm is tested on the MIT-BIH Arrhythmia Database and
MIT-BIH Compression Test Database and evaluated by using some evaluation metrics which are
commonly used in this area such as percentage root-mean-square difference (PRD), modified
percentage root-mean square difference (MPRD), maximum error (MAXERR), and measuring
with visual inspection. Assessment results reveal that the proposed algorithm achieves high
compression ratios with low level reconstruction error while preserving diagnostic information
in the reconstructed ECG signal. The proposed algorithm also slightly outperforms others for
the same test dataset. This study is conducted with Assist. Prof. Dr. Ü. Güz (Işık University) and
Prof. Dr. B. S. Yarman (Istanbul University).




 35
Feature Extraction from Electrocardiogram (ECG)
Signals for Biometric Recognition
Biometric recognition provides a security by identifying an individual based on the
physiological and behavioral characteristics. A number of biometric recognition systems
which is based on the face, fingerprint, iris, etc. have been investigated in past two decades.
However, these biometric systems are not robust against falsification and can be falsified
by using fraudulent techniques. On the other hand, an ECG signal is a life indicator and has




                                                                                                   MSc & PhD in EE
the distinguishing features for each human. Therefore an ECG signal can be suggested as a
biometric modality. Recently, several ECG-based biometric recognition methods have been
presented in literature. In this project, a novel ECG based biometric recognition system will
be developed. This study is conducted with Assist. Prof. Dr. Ü. Güz (Işık University) and
Prof. Dr. B. S. Yarman (Istanbul University).




                                                                                              36
Ümit Güz
Assistant Professor

Degrees
2002 PhD      Electronics Engineering, The Institute
              of Science, Istanbul University,Turkey
1997 MSc      Electronics Engineering, The Institute
              of Science, Istanbul University, Turkey
1994 BSc      Electronics Engineering, Engineering
              Faculty, Istanbul University, Turkey

Positions
2008          Assist. Prof., Electrical-Electronics Engineering, Işık University, Istanbul, Turkey
2007-08       International Research Fellow, International Computer Science Institute (ICSI),
              Speech Group, University of California at Berkeley, Berkeley, CA, USA.
2006 – 07     International Research Fellow, SRI (Stanford Research Institute)-International,
              Information and Computing Sciences (ICS) Division, Speech Technology and
              Research (STAR) Laboratory, Menlo Park, CA, USA.
1998 – 06     Research Associate, Electrical-Electronics Engineering, Işık University,
              Istanbul, Turkey
1995 – 98     Research and Teaching Assistant, The Institute of Science, Istanbul University

Highlights
• TÜBİTAK CAREER - National Young Researcher Career Award, 2008-2010
• J. William Fulbright, USA, Post-Doctoral Research Fellowship, 2006-2007
• TÜBİTAK Post-Doctoral Research Fellowship, 2005-2007
• The Institute of Science, Istanbul University, Research and
  Teaching Assistant Fellowship , 1995-1998
• Number of Citations : 30+
• Number of SCI Papers: 9+4
• Number of conference papers + Presentations: 38+
• Number of completed/continuing projects: 8

Research Interests
• Speech Processing                 • Spoken Dialogue Systems
• ASR                               • Machine Learning
• Natural Language Processing       • Dialog-Act Tagging
                                    • Bio-Signal Processing

Contact
Phone: +90 - 216 - 5287139
E-mail: guz@isikun.edu.tr
Web: http://www2.isikun.edu.tr/Akademik/ee/umitguz.html




 37
Active Research Projects
with Openings for MSc & PhD Students
A New Method to Represent Speech Signals Via
Predefined Envelope and Signature Sequences:




                                                                                                        MSc & PhD in EE
In this project, a novel systematic procedure referred to as “SYMPES” to model speech
signals is introduced. The structure of SYMPES is based on the creation of the so-called
predefined “signature S={SR(n)} and envelope E={EK(n)}” sets. These sets are speaker and
language independent. Once the speech signals are divided into frames with selected
lengths, then each frame sequence Xi(n) is reconstructed by means of the mathematical form
Xi(n)=CiEK(n)SR(n). In this representation, Ci is called the gain factor, SR(n) and EK(n) are
properly assigned from the predefined signature and envelope sets, respectively. Examples are
given to exhibit the implementation of SYMPES. It is shown that for the same compression
ratio or better, SYMPES yields considerably better speech quality over the commercially
available coders such as G.726 (ADPCM) at 16 kbps and voice excited LPC-10E (FS1015) at
2.4 kbps. This study is conducted with Assist. Prof. Dr. H. Gürkan (Işık University) and Prof. Dr. B.
S. Yarman (Istanbul University).




Extracting and Using Prosodic Information for
Turkish Spoken Language Processing: TÜBİTAK CAREER Project
In this project, generally, extracting and using the prosodic and lexical features of the spoken
language (Turkish) in spoken language processing are aimed. More specifically, this includes
sentence segmentation of an automatic speech recognizer output. The text which the output
of the Automatic Speech Recognition (ASR) system lacks especially punctuation, differences in
the capitalization and the parameters related to the speaking such as stress, tone, pitch, pause
cause some differences in the meaning. Enrichment of this output or another words to gain
this features back to the output will provide either reading and understanding of the humans
or processing of the machines easily. The aim
of this project is doing this enrichment and the
process of gaining back by using the prosodic
features of the spoken language. This study is
conducted with Assist. Prof. Dr. H. Gürkan (Işık
University) and Prof. Dr. B. S. Yarman (Istanbul
University).

Generative and Discriminative
Methods using Morphological
Information for Sentence
Segmentation of Turkish:
This project presents novel methods for
generative, discriminative, and hybrid sequence
classification for segmentation of Turkish
utterances into sentences. In the literature, this
task is generally solved using statistical models
                                                                                                38
that take advantage of lexical information among others. However, Turkish has a productive
morphology that generates an exponential vocabulary size, harming language models such
as the established hidden event language model (HELM). We extend this model as a factored
hidden event language model (fHELM) in order to take advantage of morphologically informed
features in addition to the word sequence. Our results indicate that fHELMs result in a 26%
reduction in error rate for Turkish broadcast news. Combining lexical, morphological, and
prosodic information using these new models and discriminative classifiers (boosting and CRFs
- conditional random fields) results in significant performance improvements over any of the
classifiers alone. This research is conducted in collaboration with Speech Group of UC Berkeley
and SRI-International-STAR Lab. of École Polytechnique Fédérale de Lausanne (EPFL).

Conceptual HELM for sentence segmentation




FLM seen as a directed graphical model over words W and morphological factors, M.




FLM created for a HELM seen as a directed graphical model over word boundaries, Y, and
words, W, and morphological factors, M.




This research is conducted in collaboration with Speech Group of UC Berkeley and
SRI-International-STAR Lab. of École Polytechnique Fédéralede Lausanne (EPFL).




 39
Multi-View Semi-Supervised Learning
for Dialog Act Segmentation of Speech:
Sentence segmentation (SS) of speech aims at determining sentence boundaries in a stream
of words as output by the ASR. Typically, statistical methods are used for SS. However, they
require significant amounts of labeled data, preparation of which is time-consuming, labor-
intensive, and expensive.




                                                                                                 MSc & PhD in EE
This work investigates the application of multi-view semi-supervised learning algorithms on
the sentence boundary classification problem by using lexical and prosodic information. The
aim is to find an effective semi-supervised machine learning strategy when only small sets of
sentence boundary-labeled data are available. This research is conducted in collaboration with
Speech Group of UC Berkeley and SRI-International-STAR Lab. of École Polytechnique Fédérale
de Lausanne (EPFL).




                                                                                           40
İsmail Karakurt
Associate Professor




Degrees
2000 Ph.D.    in Physics, Case Western Reserve University, Cleveland, Ohio, USA
1991 B.S.     in Engineering Physics, Istanbul Technical University, Istanbul, Turkey

Positions
2007-         Associate Professor of Physics, Department of Physics, Işık University,
              Istanbul, Turkey
2005-2007     Assistant Professor of Physics, Department of Physics, Işık University,
              Istanbul, Turkey
2003-2005     Postdoctoral Fellow, University of Konstanz, Konstanz, Germany
2001-2003     Postdoctoral Fellow, Case Western Reserve University, Cleveland, Ohio, USA
2000-2001     Postdoctoral Fellow, State University of New York, New York, USA

Highlights
• Alexander von Humboldt Research Fellowship, 2005
• Number of Papers: 18+
• Number of SCI Citations: 120+
• Number of Google Scholar Citations: 130+

Research Interests
• Functional Metal Oxide Films, Micro- and Nano-structures
• Metal Oxide Based Hybrid Plasmonic Structures
• Electrons on Helium

Contact

Phone: +90 - 216 - 528 7185
E-mail: ikarakurt@isikun.edu.tr
Web: http://www.isikun.edu.tr/~ismailkarakurt




 41
Active Research Projects
with Openings for MSc, PhD Students
and Postdocs




                                                                                                       MSc & PhD in EE
Functional metal-oxide micro- and nano-structures:

We investigate electrical, optical and photocatalytic properties of micro- and nano-structured
transition metal oxides such as tungsten trioxide, vanadium dioxide and titanium dioxide.
Electrical and optical properties of transition metal oxides can reversibly be changed due
to their electrochromism, gasochromism, thermochromism or photochromism. Switchable
materials are quite attractive for applications, e.g. as smart windows, modulators, filters,
sensors and optical switches. We aim to develop new functional systems through micro- and
nanostructuring of metal oxide films.



Vanadium dioxide based hybrid Ag/Au metamaterials:

Vanadium dioxide is one of the most studied transition metal oxides due to its reversible
thermochromism. It shows a semiconductor-metal phase transition occurring at a critical
temperature Tc of 68 oC. The material is a semiconductor below the critical temperature
while above Tc it is a metal. Optical properties of the oxide, as well as the electrical
properties, change upon the phase transition. Another property which makes VO2 attractive
for applications is that the phase transition can also be induced optically by a laser. We aim to
develop VO2-based Ag/Au hybrid tunable metamaterials and two dimensional photonic crystal
structures.


Nano Structures and Graphs:
The primary objective of this project is to find connection between nano structures and graph
theory. This study is conducted in collaboration with Türker Bıyıkoğlu of Işık University, Istanbul,
Turkey.




                                                                                                42
Mustafa Karaman
Professor




Degrees
1992 PhD      Electrical-Electronics Engineering, Bilkent University, Ankara, Turkey
1988 MSc      Electrical-Electronics Engineering, Bilkent University, Ankara, Turkey
1986 BSc      Electrical-Electronics Eng., Middle East Technical University, Ankara, Turkey

Positions
2010-         Director, Graduate School of Sci. & Eng., Işık Univ., Istanbul, Turkey
2002-         Prof., Dep. of Electronics Engineering, Işık Univ., Istanbul, Turkey
2004-10       Member of Executive Board of EEEAG, TUBITAK, Ankara, Turkey
2000-02       Visiting Assoc. Prof., Electrical Eng. Dep., Stanford Univ., CA, USA
1996-00       Assoc. Prof, Founding V. Dean, Founding Chair of EEE & CSE Dep., Başkent Univ.,
              Ankara, Turkey
1995-96       Asst. Prof, Assoc. Prof, V. Dean, Founding Chair of EEE Dep., Kırıkkale Univ.,Turkey
1993-94       Post-Doctoral Fellow, Biomedical Eng., Univ. of Michigan, Ann Arbor, MI,USA

Highlights
• IEEE UFFC 2002 Outstanding Paper Award
• TÜBİTAK H. T. V. 1996 Research Award
• Number of Papers + Presentations: 140+
• Number of SCI Citations: 500+

Research Interests
• Medical ultrasonic imaging
• Biomedical instrumentation
• Integrated circuit design

Contact

Phone: +90 - 216 - 528 7125
E-mail: karaman@isikun.edu.tr
Web: http://www2.isikun.edu.tr/personel/mustafakaraman/




 43
Active Research Projects
with Openings for MSc & PhD Students
Intravascular (IVUS) and Intracardiac (ICE) Ultrasonic Imaging:
IVUS and ICE are desired for the diagnosis and




                                                                                                        MSc & PhD in EE
treatment of cardiovascular diseases and guiding and
monitoring interventions such as treatment of chronic
total occlusions, stent deployment, RF ablation, drug
and cell delivery into the heart wall. Forward and side
looking imaging using micromachined transducer
(CMUT) technology enable realization of low-cost
imaging devices IVUS and ICE applications. This
study aims to explore efficient low-cost optimal array
configurations and beamforming methods suitable for
IVUS and ICE imaging. This study is conducted in collaboration with two research groups in
Georgia Institute of Technology, Atlanta, USA, and in University of Rochester, USA. (Reference:
F. W. van der Steen, et. al., “IVUS beyond the horizon,” EuroIntervention, 5, vol. 2, no. 1, pp. 132-
42, 2006).

Miniature 3-D Ultrasound Imaging Systems:
The objective of this project is to design and test a
miniature real-time 3-D ultrasound imaging probe using
a 2-D CMUT array. The probe will fit within a 5-mm
endoscopic channel, providing physicians with 3-D
ultrasound image-guidance during minimally-invasive
surgical and therapeutic procedures for the treatment
of cancer. For such systems, we aim to develop efficient
coherent image reconstruction techniques which
reduce the cost and size of the probe electronics while
maintaining high quality real-time imaging. This study is
conducted in collaboration with a research group at Stanford University, Stanford, CA, USA.
(Reference: M. Karaman, I. O. Wygant, O. Oralkan, and P. T. Khuri-Yakub, “Minimally redundant
2-D array designs for 3-D medical ultrasound imaging,” IEEE Trans. Medical Imaging, vol. 28,
no. 7, pp. 1051-1061, July 2009.)

Photo-acoustic Imaging for Early Detection of Breast Cancer:
Breast cancer is the second leading cause of cancer
deaths in women today (after lung cancer) and is the
most common cancer among women. Photo-acoustics
is a promising imaging modality combining the strong
optical contrast with high resolution of ultrasound.
Early detection and characterization of small masses
and micro-calcifications are the primary objectives in
designing the imaging system. Aim of this study is to
explore optimal photo-acoustic image reconstruction
techniques for real-time 3-D imaging using 2-D CMUT
arrays with integrated frontend circuits. This study
is conducted in collaboration with a research group at Stanford University, Stanford, CA, USA.
(Reference: M. Xu, and L. V. Wang, “Photoacoustic imaging in biomedicine,” Rev. Sci. Instrum,.
77, 041101-(1-22), 2006).



                                                                                                 44
Onur Kaya
Assistant Professor




Degrees
2005 PhD     Electrical and Computer Eng., University of Maryland, College Park, USA
2002 MSc     Electrical and Computer Eng., University of Maryland, College Park, USA
2000 BSc     Electrical and Electronics Eng., Bilkent University, Ankara, Turkey

Positions
2005 –       Asst. Prof., Dept. of Electrical and Electronics Eng.,
             Işık Univ., Istanbul, Turkey.
2002 – 05    Research Assistant, Dept. of ECE, University of Maryland, USA.
2000 – 02    Teaching Assistant, Dept. of ECE, University of Maryland, USA.

Highlights
• IEEE WCNC 2008 Best Paper Award
• Editor, Turkish Journal of Electrical Engineering and Computer Sciences
• Technical Program Committee Member for 25+ top communications conferences

Research Interests
• Communication Theory
• Wireless Communications
• Information Theory
• Optimization

Contact
Phone: +90 - 216 - 528 7135
E-mail: onurkaya@isikun.edu.tr
Web: www.isikun.edu.tr/~onurkaya




 45
Active Research Projects
with Openings for MSc & PhD Students
Current research areas include information and
communication theoretical analysis of multiuser
cooperation in wireless networks, multiple access
techniques (OFDMA, SC-FDMA, CDMA), resource




                                                                                                   MSc & PhD in EE
allocation and rate optimization in next generation
wireless networks, and cognitive cooperative radios.
Some related funded Tübitak projects are listed below.

• Encoding and Decoding Strategies, Achievable Rates and Resource Allocation for
  Cooperative Cognitive Radio Systems (Principal Investigator, to start Fall 2011).

(NEW) Open PhD Research Assistantship position

Abstract:
Cognitive radio and cooperative communication rely on very similar principles: in both
approaches, the side information supplied by the wireless medium and smart capable nodes
which make use of this information play key roles. Hence, it seems unavoidable that in the
future wireless networks will use cognitive techniques based on cooperation. In this project, we
aim to apply some techniques from the cooperative communications framework, to systems
involving cognitive radio terminals, and also to develop new cooperative encoding and decoding
protocols directly designed for use in cognitive scenarios. Accordingly, using an information
theoretical approach, our main goal is to come up with encoding and decoding techniques which
maximize the rates achievable by secondary users, while keeping constant, or improving, the
rates of primary users.

• Orthogonal Frequency Division Multiplexing (OFDM)-Based Resource Allocation in
  Cooperative Wireless Communications (Investigator, ongoing 2008-2011)


The ability of OFDMA to cope with both intersymbol and
interuser interference, combined with its low complexity
of implementation, have made it a popular choice for
the next generation wireless networks. However, the
traditional approach to the design of OFDMA systems
naturally assumes orthogonal multiple access, thereby
choosing to avoid interference. However, like all
orthogonal transmission techniques, OFDMA incurs some
rate penalty, caused by the orthogonalization. Moreover,
in wireless channels, “interference” is in fact free side
information, and gives rise to the concept of user
cooperation, if taken advantage of by the system design.
Hence, in this project, we focus on resource (especially
power) allocation for cooperative OFDMA models, which
allow subchannels to be shared by pairs of transmitters,
thereby treating interference as information, and
allowing mutual cooperation among the transmitters
over each subchannel.

• Optimum Resource Allocation and Transmit Strategies for Cooperative Wireless
  Communication Networks (Principal Investigator, completed, 2006-2009)




                                                                                           46
Mengüç Öner
Associate Professor




Degrees
2004 PhD      Electrical and Electronics Engineering, University of Karlsruhe
(Dr.-Ing)     (now:Karlsruhe Institute of Technology ) Germany
2001          Electrical and Electronics Engineering, University of Karlsruhe
              (now:Karlsruhe Institute of Technology ) Germany
1998 BSc.      Electrical and Electronics Eng., Bogaziçi University, Istanbul, Turkey

Positions
2010-         Assoc. Prof, Dept. of Electrical and Electronics Engineering,Işık University,
              Istanbul, Turkey
2007-2010     Assist. Prof., Dept. of Electronics Engineering, Işık University, Istanbul, Turkey
2005-2007     Lecturer, Dept. of Electronics Engineering, Işık University, Istanbul, Turkey
2001-2004     Research Assistant, University of Karlsruhe, Germany
2000-2001     Research Assistant, Fraunhofer Institute IITB, Karlsruhe, Germany

Highlights
• Guest editor in Elsevier Physical Communications Journal
• Reviewer in several IEEE Journals, conferences and TUBITAK Panels
• TPC Member in numerous IEEE Conferences

Research Interests
• Cognitive Radio
• Spectrum Sensing
• Compressive Sampling
• Detection and Estimation Theory
• Modulation type Classification

Contact
Phone: +90 -216-528 7136
E-mail: oner@isikun.edu.tr
Web: http://ee.isikun.edu.tr/oner.htm




 47
Research Topics for Prospective MSc & PhD Students

Spectrum Sensing for Cognitive Radio Systems:

The unprecetended flexibility and awareness that the Cognitive Radio paradigm provides for




                                                                                                   MSc & PhD in EE
mobile devices allows the use of dynamic and demand oriented resource allocation schemes:
The Cognitive Radio is able to sense its radio frequency environment (i.e. the spectrum), find
unused spectral bands, utilize them as long as they are idle, and move to other idle frequency
bands when the owner of the band decides to use it. Several different approaches exist for the
task of spectrum sensing, which provides the spectral awarenes of the cognitive radio (see the
papers cited above and the references therein).


Signal Identification:

Identifying the system parameters of an unknown communication signal is a major task of
intelligent receivers, and employed mainly in cognitive radio and spectrum surveillance and
management systems, for commercial, regulatory and military applications.




                                                                                              48
    Graduate Program in
Information Technologies




                           MSc in IT
Graduate Program in Information Technologies

Master of Science Program
The Master of Science Program in Information Technologies offers thesis and non-thesis
options. The thesis option requires a minimum of 21-credit hours of course work, a non-credit
seminar course, and completion of a Master of Science Thesis. The thesis option requires a
minimum of 12 credits of the course load from IT coded courses, where 6 credits of these
may be taken from upper level undergraduate IT coded courses. The remaining 9-credit course
requirement can be completed by courses offered in other graduate programs. The non-thesis
option requires a minimum of 30-credit hours of course work and completion of a Master
of Science Project. This option requires a minimum of 15 credits of the course load from IT
coded courses, where 9 credits of these may be taken from upper level undergraduate IT coded
courses. The remaining 15-credit course requirement can be completed by courses offered in
other graduate programs. Registration to any courses requires advisor approval.

Course List
IT 500 Graduate Seminar
IT 506 Computer Networking Applications
IT 518 Implementing Web Applications for Business
IT 522 Information Systems Analysis and Design
IT 526 Entrepreneurship in Information Society
IT 527 Network Security
IT 528 Telecommunication Deregulations and Policy Making
IT 532 Electronic Commerce
IT 535 Advanced Data Warehousing and Data Mining
IT 580 Term Project
IT 581-589 Special Topics in Information Technologies I-IX
IT 590 M.S. Thesis




 51
    FACULTY




                   MSc in IT
       &
RESEARCH TOPICS




              52
Vedat Coşkun
Associate Professor
(Chairperson)




Degrees
1998 PhD      Computer Security, Yıldız Technical University, Istanbul, Turkey
1990 MSc      Computer Science, Naval Post Graduate School, Monterey, CA, USA
1984 BSc      Operational Research, Naval Academy, Istanbul, Turkey

Positions
2010–         Chair, Dept. of Information Technologies, Işık University
2010–         Assoc. Prof., Dept. of Information Technologies, Işık University
2005–2010     Assist. Prof., Dept. of Information Technologies, Işık University

Highlights
• Excellence in Teaching Award, Işık University, 2010
• Researcher, NFCLab.com
• Author, Pascal Programming

Research Interests
• Near Field Communication
• Information Security
• Mobile Technologies

Contact
Phone: (+90)216 5287193
E-mail: vedatcoskun@isikun.edu.tr
Web: www.isikun.edu.tr /~vedatcoskun/




 53
Active Research Projects
with Openings for MSc & PhD Students

Enabling Co-Existence of Multiple Secure Element in NFC Mobile Phone:

Near Field Communication (NFC) is a new field that has emerged in the last decade. NFC
technology is based on short range, high frequency, low bandwidth and wireless communication
technology between two NFC enabled devices. NFC applications those require sensitive
information uses secure element (SE) that requires careful implementations due to the
integrated risk. SE provides a dynamic environment for programs and data. It enables storage
of valuable, private data such as credit card information of user, and secure storage and
execution of NFC enabled services such as contactless payments. Handling several applications




                                                                                                MSc in IT
on one SE is an open issue to solve when they are designed to communicate with each other.
The potential solutions need to use cryptography as the tool with appropriate protocols.




                                                                                         54
Devrim Akca
Assistant Professor


Degrees
2007 PhD      Institute of Geodesy and Photogrammetry,
              ETH Zurich, Switzerland
2000 MSc      Dept. of Geodesy and Photogrammetry Eng.,
              Karadeniz Tech. Univ. Trabzon, Turkey
1997 BSc      Dept. of Geodesy and Photogrammetry Eng.,
              Karadeniz Tech. Univ., Trabzon, Turkey

Positions
2011 –        Asst. Prof., Dep. of Civil Engineering, Işık Univ., Istanbul, Turkey
2009 – 11     Asst. Prof., Dep. of Information Technologies, Işık Univ., Istanbul, Turkey
2007 – 09     Senior Research Associate, Inst. of Geodesy and Photogrammetry, ETH
              Zurich, Switzerland
2003 – 07     Doktorand, Inst. of Geodesy and Photogrammetry, ETH Zurich,
              Switzerland
2002 – 03     Academic Guest, Inst. of Geodesy and Photogrammetry, ETH Zurich,
              Switzerland
2001 – 02     Research. Asst., Dep. of Geodesy and Photogrammetry Eng., Istanbul Tech. Univ.,
              Istanbul, Turkey
2000 – 01     Research. Asst., Dep. of Geodesy and Photogrammetry Eng.,
              Ondokuz Mayis. Univ., Samsun, Turkey
1997 – 00     Surveying Eng., Macka Cadastre Office, Trabzon, Turkey

Highlights
• Carl Pulfrich Award, 2009
• ETH Zurich Silver Medal, 2008
• ISPRS Best Papers by Young Authors Award, 2004
• Number of Papers + Presentations: 55+
• Number of SCI Citations: 65+

Research Interests
Photogrammetry, 3D modeling, camera calibration, active range sensors.

Contact
Phone: +90 - 216 - 528 7194
E-mail: akca@isikun.edu.tr
Web: http://www2.isikun.edu.tr/personel/akca/
     http://www.researcherid.com/rid/A-1065-2008




 55
Active Research Projects with
Openings for MSc & PhD Students
Mobile modeling with mobile phone cameras: MOBILE MAPPING has been an issue within
the geospatial community for some years. Through the use of moving platforms (satellites,
aerial, terrestrial) photogrammetry has from early times had a “mobile” component. Also,
online and real-time processing is by no means new. However, with the availability of very
affordable and mega-pixel high resolution CCD/CMOS cameras and other off-the-shelf
devices, including compact computers (of the laptop type), the potential of building efficient
mobile systems has increased substantially. The use of an autonomous model helicopter for
3D modelling in different projects has already been reported. Location-based services and
ubiquitous computing are current buzzwords of high societal visibility and relevance. Among
various hardware and software components, mobile phones constitute an interesting option
for image data acquisition and processing for obvious reasons: they are very inexpensive,




                                                                                                    MSc in IT
light, portable and equipped with digital cameras and CPUs. Laptops nowadays have so much
processing power and storage capabilities that part of the 3D model generation work can be
achieved immediately in the field. With available know-how and software modules in sequential
estimation, semi-automated and automated triangulation, and surface model generation and
texturing, a good basis exists to build a system for mobile, field-based primary data acquisition
and model building. Interesting future possibilities are anticipated for online processing of
acquired image data by mobile phone cameras. This opens the path for a paradigm shift from
“Mobile Mapping” to “Mobile 3D Modelling”.

This project examines the potential use of mobile phones as a front-end sensor for
photogrammetric procedures and 3D modeling applications (Reference: Akca, D., and Gruen, A.,
2009. COMPARATIVE GEOMETRIC AND RADIOMETRIC EVALUATION OF MOBILE PHONE AND
STILL VIDEO CAMERAS. The Photogrammetric Record, 24 (127), 217-245.)




                                                                                             56
Mehmet N. Aydın
Assistant Professor


Degrees
1992 PhD       Information Systems,
               University of Twente, The Netherlands
1988 MA        Management, Marmara Univ.,
               Inst. of Social Sciences, Istanbul, Turkey
1986 BSc       Mathetics, Bogazici Univ., Istanbul,Turkey

Academic Positions
2008-          Assistant Professor, Department of Information Technology,
               Isik University, Istanbul, Turkey
2007-2008      Research Scientist, Ted Rogers School of Management,
               Ryerson Univ., Toronto, Canada
2006-2007      Visiting Scholar, Institute for Innovation and Technology Management,
               Ted Rogers School of Management, Ryerson University, Toronto, Canada
2005-2007      Assistant Professor, Information Systems and Change Management,
               School of Management and Governance,
               University of Twente, Enschede, The Netherlands
2001-2005      Research Associate, CTIT (Center for Telematics and Information Technology),
               University of Twente, Enschede, The Netherlands
1998-2000      Research Assistant, Management Information Systems,
               School of Applied Sciences, Bogazici University, Istanbul, Turkey

Highlights
• With more than 15 years industry experience, providing IT and management consulting to
  leading organizations in several industries such as high-tech and IT providers (e.g., Vodofone,
  Philips, Telfort, BizzDesign), service industry (PWC, CapGemini, Accenture), financial institutes
  (ABN Amro, BKM in Turkey), government organizations (TPG Post) in Europe, North America.
• Publications: 40+

Research Interests
• Near Field Communication
• IS Development/Method Engineering
• Agile Development
• Outsourcing
• Conceptual Modeling/SOA
• Business Process Engineering
• Electronic Commerce

Contact
Phone: +90-216-528 7166
E-mail: mnaydin@isikun.edu.tr
Web: www.isikun.edu.tr/~mehmet.aydin
 57
Active Research Projects
with Openings for MSc & PhD Students




NearField Research Projects:

The lab considers Near Field Communication as an emerging technology that transforms




                                                                                                  MSc in IT
innovative ideas into reality for Future Information and Communication Society. NFC
Lab - ISTANBUL strives for research excellence in focused research areas relevant to NFC. As
part of our ongoing projects, we are examining an evolving NFC ecosystem in Turkey, adoption
issues, interoperability issues, secure element alternatives and data sharing. We have a close
cooperation with industry players such as MNO, Financial Institutes, Government Agencies,
other Research Institutes, Trusted Third Party, other Service Providers (www.nfclab.com).

Agile IS Development/Outsourcing/SOA:

The primary objective of this project is to examine agile IT development practice in Turkey and
look at methods, tools and techniques adaptation at early stages of ISD such as requirements
engineering, conceptual modeling. This research is also concerned with how the service oriented
approaches (SOA, service modeling) are realized along with method adaptation in especially
IT outsourcing and offshoring projects. This project is of outmost importance for industries
worldwide and is of particular importance in Turkey as there are limited studies in the area.




                                                                                           58
Nazım Ziya Perdahçı
Assistant Professor



Degrees
2002 PhD      Physics, Boğaziçi University, Istanbul, Turkey
1996 MSc      Physics, Boğaziçi University, Istanbul, Turkey
1993 BSc      Physics, Boğaziçi University, Istanbul, Turkey

Positions
2011-         Vice Director, Graduate School of Science & Eng., Işık Univ., Istanbul, Turkey
2011-         Asst. Prof., Dep. of Physics, Işık University, Istanbul, Turkey
2008-10       Head of Dep., Information Technologies, Işık University, Istanbul, Turkey
2005-06       Head of Dep., Information Technologies, Işık University, Istanbul, Turkey
2002-10       Asst. Prof., Dep. of Information Technologies, Işık University, Istanbul, Turkey
2001-09       Researcher (part-time), TUBITAK, Feza Gursey Institute, Istanbul, Turkey

Highlights                                          Contact
TUMTMK 11, Best Scientific Work Award               Phone: +90 - 216 - 528 7190
Number of Papers + Presentations: 10+               E-mail: nazipe@isikun.edu.tr

Research Interests
• Dynamical systems
• 3-D Modeling
• LHC physics


Active Research Projects
with Openings for MSc & PhD Students
Designing a 3-D Mobile Modeling System with Cell Phones
Mobile mapping systems has been used in Geographic Information systems for many years
as a data gathering method. With the advent of technology it has become viable to build
high performance mobile systems. The project aims at developing a prototype for 3-D mobile
imaging/modeling system using cell phones and information technology infrastructure.

Algebraic Calculation of Lyapunov Exponents
All practical methods of Liapunov exponent calculations involve numerical approximations,
based either on simulations or on some given time series. An algebraic approach has been
formualted by Roepstorff, which involves the construction of an algebraic basis Si with n
elements for an n dimensional system dynamics. Nevertheless, there is no restriction on how
to select a particular basis, nor is there a method to construc one. We applied the method of
Normal Forms Sprott’s simple chaotic systems, and have been able to calculate the Lyapunov
spectra for two of them. Ongoing research projects aim at imroving the method for the
algebraic calculation of the Lyapunov spectra for the rest of the Sprott systems.
 59
Cüneyt Sevgi
Assistant Professor




Degrees




                                                                                                       MSc in IT
2009 PhD      Information Systems,
              Middle East Technical Univ, Ankara, Turkey
2003 MSc      Information Systems,
              Middle East Technical Univ, Ankara, Turkey
1998 BSc      Physics, Middle East Technical Univ., Ankara, Turkey

Positions
2011-         Assist. Prof., Dep. of Information Technology, Işık University, Istanbul, Turkey,
2005-11       Lecturer, Dep. of Computer Technology and Information Systems,
              Bilkent Univ., Ankara, Turkey
1999-05       Research Assistant, Middle East Technical Univ., Ankara, Turkey

Research Interests
• Software Engineering
• Software Management
• Data Communications and Networking
• Wireless Sensor Networks
• The Internet Traffic

Contact
Phone: +90 - 216 - 528 7192
E-mail: csevgi@isikun.edu.tr
Web: http://www2.isikun.edu.tr/personel/csevgi/




                                                                                                  60
Gülay Ünel
Assistant Professor




Degrees
2008 PhD        Computer Science, University of Waterloo,
                Waterloo, ON, Canada
2002 MSc        Computer Engineering, Bilkent University,
                Ankara, Turkey
2000 BSc        Computer Engineering, Bilkent University,
                Ankara, Turkey

Positions
2011-           Assist. Prof., Dep. of Information Tech., Işık University, Istanbul, Turkey
2010-11         Sessional Instructor, University of Waterloo, Waterloo, ON, Canada
2009-10         Post Doctoral Fellow, University of Innsbruck, Innsbruck, Austria
2008-09         Post Doctoral Fellow, School of Computing Science, Simon Fraser University,
                Burnaby, BC, Canada

Highlights
• PhD from one of the top universities of North America
• Leadership experience in EU projects
• Papers in respected international conferences/journals

Research Interests

• Databases
• Semantic Web
• Automata Theory
• Artificial Intelligence

Contact
Phone: +90-216-528 7188
E-mail: gulay.unel@isikun.edu.tr
Web: http://www.isikun.edu.tr/~gulayunel/




  61
Research Problems for MSc & PhD Students

Stream Reasoning:
Data streams occur widely in various real world applications. The research on streaming
data mainly focuses on the data management, query evaluation and optimization on these
data, however the work on reasoning procedures for streaming knowledge bases on both the
assertional and terminological levels is very limited. Typically, reasoning services on large
knowledge bases are very expensive, and need to be applied continuously when the data is
received as a stream. Hence, new techniques for optimizing this continuous process are needed
for developing efficient reasoners on streaming data. Our research goal on this area is to design
and implement scalable reasoning methods for streaming data including (but not limited to)




                                                                                                    MSc in IT
methods from incremental, approximate and inductive reasoning.

The figure shows the general input and output schema of a Stream Reasoner. It accepts as
input several streams and several knowledge sources (e.g. an RDF graph published using linked
data best practice), and it can generate as output of a registered query or reasoning task one
of: variable binding another stream, or an evolving knowledge base. The output will be renewed
at each evaluation of the registered query or reasoning task.




                                                                                            62
       Graduate Program
in Industrial Engineering
   - Operations Research




                            MSc in IE
Graduate Program in
Industrial Engineering - Operations Research
Master of Science Program

The Master of Science Program in Industrial Engineering - Operations Research offers thesis
and non-thesis options. The thesis option requires a minimum of 21-credit hours of course
work, a non-credit seminar course, and completion of a Master of Science Thesis. The thesis
option requires a minimum of 12 credits of the course load from IE coded courses, where 6
credits of these may be taken from upper level undergraduate IE coded courses. The remaining
9-credit course requirement can be completed by courses offered in other graduate programs.
The non-thesis option requires a minimum of 30-credit hours of course work and completion of
a Master of Science Project. This option requires a minimum of 15 credits of the course load
from IE coded courses, where 9 credits of these may be taken from upper level undergraduate
IE coded courses. The remaining 15-credit course requirement can be completed by courses
offered in other graduate programs. Registration to any courses requires advisor approval.


Course List
IE 500 Graduate Seminar
IE 501 Linear Programming and Extensions
IE 502 Graph Theory and Network Flows
IE 503 Meta Heuristics
IE 504 Stochastic Processes
IE 505 Queuing Theory and Applications
IE 506 Nonlinear Programming
IE 508 Sequencing and Scheduling
IE 511 Quantitative Models in Supply Chain Management
IE 512 Decision Support Systems
IE 513 Theory and Practice of Revenue Management
IE 522 Facility Logistics
IE 531 Design for Quality and Productivity
IE 541 Location Analysis
IE 552 Applied Statistics
IE 561 System Dynamics
IE 580 Term Project
IE581–589 Special Topics in Industrial Engineering I - IX
IE 590 M.S. Thesis




 65
    FACULTY
       &
RESEARCH TOPICS

                   MSc in IE




              66
Seyhun Altunbay
Associate Professor
(Chairperson)



Degrees
1985 Ph.D.    Industrial Engineering,
              Istanbul Technical University, Istanbul, Turkey
1973 M.Sc.    Operations Research,
              Middle East Technical University, Ankara, Turkey
1969 B.Sc.    Physics, Middle East Technical Univ., Ankara, Turkey

Positions
2002-         Constituent, Dept. Head, Industrial Eng. Dept. Işık Univ., Istanbul, Turkey
1999-02       Assoc. Prof., Computer Engineering Dept. Işık Univ., Istanbul, Turkey
1990-99       President of UNICOM Information & Communication Systems A.Ş
1985-90       Director of Data Processing Center, MAM, TUBITAK, Istanbul, Turkey
1980-85       Head Senior Researcher, Dept. of Operations Research (OR), MAM,
              TUBITAK, Istanbul, Turkey
1978-84       Co – constituent, Secretary General,
              The Operations Research Society of Turkey (YAEM)
1980-83       Head Senior Researcher,
              Dept. of OR + Head, Project Control and Evaluation Group MAM, TUBITAK
1979-80       Acting director of the dept. of Operation Research, MAM, TUBITAK
1976-80       Senior Researcher, Dept. of Operations Research, MAM, TUBITAK
1973-76       Assoc. Senior Researcher, Dept. of Operations, MAM, TUBITAK
1970-73       Research Assistant, Dept. of Operations Research, MAM, TUBITAK

Highlights
• Number of Papers + Presentations Technical Reports: 40+
• Research Projects Involved:15+

Research Interests

• Socio-Economic Systems Planning
• Production Planning & Inv.
• Energy Planning

Contact
Phone: +90 - 216 - 528 7150
E-mail: altunbay@isikun.edu.tr
Web: http://ie.isikun.edu.tr


 67
Active Research Projects
with Openings for M.Sc. Students
The Effect of Usage of Fossil Fuels to Global Warming and
Investment on Renewable Energy – A System Dynamics Model:
The increasing usage of fossil fuels has enormous effect on global warming. On the other hand
the usage of fossil fuels is increasing every year. This results in more warming globally. The
warming of the atmosphere causes the climate and the rainfall to different areas to change.
This climate change courses desertification in certain parts of the world and may eventually
result in a decrease in the amount of food. Meantime a pressure on the usage of renewable
energy and investments may arise. A system Dynamics Model will be developed.



Energy Investment Planning in
Turkey – An Integer Programming Model:




                                                                                                 MSc in IE
The energy demand in Turkey is increasing every year. To satisfy the demand, various
investments have been made, especially more on plants using natural gas which is imported
from other countries. The model will optimize in years the investments of power plants from
different resources, especially from domestic resources.




                                                                                          68
Osman Murat Anlı
Assistant Professor




Degrees
2003 PhD      Manufacturing Engineering,
              Boston University, MA, USA
1997 MSc      Operations Research & Statistics,
              Rensselaer Polytechnic Inst., Troy, NY, USA
1994 BSc      Industrial Engineering, Istanbul Technical University, Turkey


Positions
2005-         Assistant Prof., Dept. of Industrial Engineering, Işık University, Istanbul, Turkey
2004-05       Post-doc. Research Associate, Center for Inf. and Sys. Eng.,
              Boston University, MA, USA
2003-04       Research Intern, Mitsubishi Electric Research Laboratories, Cambridge, MA, USA


Research Interests
• Computer Aided Learning in IE
• Supply Chain Management
• Meta-heuristics


Contact

Phone: +90 (216) 528 7153
E-mail: omanli@isikun.edu.tr
Web: http://ie.isikun.edu.tr/english/people.asp?page=osman_murat_anli




 69
Active Research Projects
with Openings for MSc & PhD Students
Virtual Enterprise e-Learning:
Fully Integrated Enterprise Resource Planning (ERP) Systems provide a wide array of data
analysis capabilities to decision makers. Information should be extracted from raw transactional
data so that planning and optimization models can be employed to help improve business
performance. The two main objectives of this project are: i) to develop a web application that
mimics the ERP system of a manufacturing company, ii) to develop a modeling framework that
enables the estimation of stochastic performance measures of a manufacturing/warehousing/
distribution environment. This ERP web application is a very simplified version of a real-world
application but still embodies its major characteristics. It is a computer based experimentation
tool designed to enhance learning the subject of production management for undergraduate
and graduate students of management, applied mathematics, and especially industrial
engineering. Students will have access to master data about the company, its products,
manufacturing equipment and processes plus large amounts of transactional data. Students
will be able to retrieve data from application, choose and apply different analysis methods
among the provided ones or perform their own analysis. The application will be able to simulate
the workings of the enterprise and prepare performance measure reports of interest. Students




                                                                                                   MSc in IE
will be able to select among various operational policies and manufacturing strategies and
observe their effects on the performance. Students will be given assignments asking them
to observe the system, retrieve and analyze the relevant data, develop and use optimization
models, and finally improve the performance of the system by applying the results obtained
from their models in the web application. The modeling framework should be able to estimate
mean values of performance measures of stochastic manufacturing systems. Also, it should be
able to determine approximately or exactly probability based measures, the framework should
be modular so that its components can be used as building blocks to model big manufacturing
systems. The framework should also allow hierarchy so that high level analysis can be
conducted easily at the expense of accuracy and low level analysis should be possible through
gracefully increasing computational burden.

Applications of Meta-heuristics in MRO Scheduling:
Airplane Maintenance Repair and Overhaul (MRO) involve scheduling type problems with
multiple projects, predecessor relationships, both relatively flexible deadlines and hard
deadlines, and resource capacity limits. These problems are inherently quite hard combinatorial
problems. Genetic Algorithms, Tabu Search, and other meta-heuristics driving problem specific
heuristics will be explored to devise a solution method that outperforms previously proposed
methods.

Dynamic Lead Time Modeling:
Lead times in a supply chain are known to be a function of capacity utilization, production
target mix, and the present workload. Stochastic models of production and inventory systems
are studied to develop tools that allow performance estimation and optimization.




                                                                                           70
Tankut Atan
Assistant Professor
Degrees
1997 PhD      Industrial Engineering,
              Iowa State University, Ames, USA
1993 MSc      Industrial Engineering,
              Iowa State University, Ames, USA
1989 BSc      Industrial Engineering, Boğaziçi University,
              Istanbul, Turkey

Positions
2003-         Assistant Professor, Industrial Engineering, Işık University, Istanbul, Turkey
1997-02       Product Manager and Senior Research Scientist, PROS Revenue Management,
              Houston, USA

Highlights
• Member of a multi-university TÜBİTAK research project team for retail
  revenue management, 2007-10
• Member of a TÜBİTAK research project team for construction project scheduling, 2011-2013

Research Interests                                             Contact
• Pricing and revenue optimization                             Phone: +90-216-528 7152
• Timetabling and sports scheduling Network analysis           E-mail: tatan@isikun.edu.tr



Active Research Projects
with Openings for MSc Students
Exam Timetabling:
Finding the time slots for exams of courses is a semesterly activity at universities. Rules for
these assignments vary from one university to another. The goal of this project is to develop a
good heuristic method for exam assignments at Isik University and incorporate this method in a
decision support system to be used by the registrar.

Resource Leveling Problem:
RLP is an important problem in construction management and numerous exact and heuristic
methods have been proposed for it. However, existing studies in the literature are very limited
for meeting the requirements of the construction industry. Existing heuristic studies also lack
optimal solutions for RLPs, hence the performance of these algorithms can not be evaluated
adequately. The main objective of this project is to develop high performance exact and meta-
heuristic algorithms for unconstrained resource leveling problem with multiple resources. The
proposed resource leveling meta-heuristic will be integrated with the Microsoft Project. This
study is being conducted with researchers from Middle East Technical University, Ankara,
Turkey.



 71
Mehmet Önal
Assistant Professor


Degrees
2009 PhD      Industrial Engineering, University of Florida,
              Gainesville, FL, U.S.A.
2005 MSc      Industrial Engineering,
              University of Central Florida, Orlando, FL, U.S.A.
2003 BSc      Industrial Engineering,
              Middle East Technical University, Ankara, Turkey


Positions
2010 –        Assist. Prof., Industrial Eng. Dep., Işık University, Istanbul, Turkey




                                                                                                  MSc in IE
2009 – 10     Post-Doctoral Associate, Innovative Scheduling Inc., Gainesville, FL, U.S.A.

Research Interests

• Production and Inventory Planning
• Economic Lot Sizing Problem
• Network Optimization

Contact
Phone: +90 - 216 - 528 7138
E-mail: onal@isikun.edu.tr



Active Research Projects
with Openings for MSc Students
The Economic Lot Sizing Problem with Perishable
Items and Production Capacities:

The basic economic lot sizing problem (ELS) is stated as follows. There are known and
deterministic demands over a finite planning horizon of length. Given the production and
inventory holding cost functions, the objective is to find the cheapest production plan. The
Economic Lot Sizing Problem with Perishable Items and Production Capacities (ELSPC) is an
extension of the ELS problem where the items are assumed to deteriorate and hence cannot be
stored in the inventories indefinitely. It has been proven that ELSPC is NP-complete even under
constant production capacities. The aim of this research is to find tighter formulations of the
problem and develop efficient solution algorithms.



                                                                                             72
Çağlar Aksezer
Assistant Professor




Degrees
2003 PhD      Industrial Engineering,
              Northeastern University, USA
2001 MSc      Industrial Engineering,
              Northeastern University, USA
1999 BSc      Mathematics Engineering, Yıldız Technical Univ., Istanbul, Turkey

Positions
2008-         Asst. Prof., Dep. of Industrial Engineering, Işık University, Istanbul, Turkey
2004-08       Instructor, Dep. of Industrial Engineering, Işık University, Istanbul, Turkey
1999-03       Research Assistant, Industrial Eng. Dept., Northeastern University, USA

Research Interests
• Reliability analysis in service and operations planning with emphasis on healthcare.
• Warranty cost and risk modeling.
• Statistical quality control and improvement of multiresponse processes.

Research Interests

• Socio-Economic Systems Planning
• Production Planning & Inv.
• Energy Planning


Contact
Phone: +90 - 216 - 528 7151
E-mail: caksezer@isikun.edu.tr




 73
Graduate Programs
   in Mathematics




                    MSc & PhD in Math
Graduate Programs in Mathematics
Master of Science Program
The Master of Science Program in Mathematics offers thesis and non-thesis options. The thesis
option requires a minimum of 21-credit hours of course work, a non-credit seminar course, and
completion of a Master of Science Thesis. The thesis option requires a minimum of 12 credits
of the course load from MATH coded courses, where 6 credits of these may be taken from
upper level undergraduate MATH coded courses. The remaining 9-credit course requirement can
be completed by courses offered in other graduate programs. The non-thesis option requires a
minimum of 30-credit hours of course work and completion of a Master of Science Project. This
option requires a minimum of 15 credits of the course load from MATH coded courses, where
9 credits of these may be taken from upper level undergraduate MATH coded courses. The
remaining 15-credit course requirement can be completed by courses offered in other graduate
programs. Registration to any courses requires advisor approval.

Doctor of Philosophy Program
The Doctor of Philosophy Program in Mathematics consists of a formal course work, passing
a qualifying exam, presentation of a dissertation proposal and successful defense of a
dissertation. The program requires a minimum of 21-credit hours of course work for students
entering the program with a Master of Science degree or a minimum of 42-credit hours of
course work for students entering the program with a Bachelor of Science degree. Every PhD
candidate must take a minimum of 12-credit hours of course work from graduate level MATH
coded courses. Registration to any courses requires advisor approval.

Course List
MATH 500 Graduate Seminar
MATH 511 Real Analysis
MATH 512 Complex Analysis
MATH 513 Functional Analysis I
MATH 514 Functional Analysis II
MATH 521 Ordinary Differential Equations
MATH 522 Partial Differential Equations I
MATH 523 Partial Differential Equations II
MATH 527 Numerical Analysis
MATH 528 Numerical Solution of Partial Differential Equations
MATH 541 Algebra
MATH 551 Nonlinear Continuum Mechanics I
MATH 552 Nonlinear Continuum Mechanics II
MATH 554 Perturbation Methods
MATH 561 Topology
MATH 564 Differential Geometry
MATH 571 Mathematical Methods in Physics and Engineering
MATH 580 Term Project
MATH 581-589 Special Topics in Mathematics I-IX
MATH 590 M.S. Thesis
MATH 615 Functional Analysis and Applications
MATH 626 Integral Equations
MATH 653 Nonlinear Elasticity
MATH 655 Direct and Inverse Scattering of Waves
MATH 656 Nonlinear Waves
MATH 657 Mathematical Methods in Classical Mechanics
MATH 681-689 Special Studies in Mathematics I-IX
MATH 690 Ph.D. Thesis


 75
    FACULTY
       &
RESEARCH TOPICS

                   MSc & PhD in Math




              76
Elman Hasanoğlu
Professor (Chairperson)



Degrees
1991 Dr. of Sci.   Physics, Former USSR.
1973 PhD           Mathematics, Former USSR
1971 BSc-MSc       Mathematics, Azerbaijan State Univ., Baku.

Positions
2010-         Head of Dep, of Mathematics, Işık Univ., Istanbul, Turkey
1999-10       Prof., Dep. of Mathematics, Işık Univ., Istanbul, Turkey
1993-99       Prof., Dep. of Electronic Eng., Istanbul Univ., Istanbul, Turkey
1991-93       Leading Scientific Fellow,
              Institute of Cybernetics Academy of Sciences of Azerbaijan
1978 –91      Head of Department of Computer Optics and Radiophysics,
              Institute of Cybernetics Academy of Sciences of Azerbaijan
              (parallel in Deep Space Center of USSR)
1974 –78      Post-Doctoral Fellow, Mathematics,
              Moscow State Univ., Former USSR.

Highlights

• IEEE AP/MTT/AES/ED/GRS/NPS/EMB/ Society East Ukraine Joint Chapter International N.A.
  Khiznyak Award for the Contribution to the Development of Electromagnetic Theory, 2002,
  Kiev Ukraine
• Member of the Editorial Board of “Applied and Computational Mathematics” (SCI, imp.fac.
  0.87), Member of the Editorial Board of “Selcuk Journal of Applied Mathematics”, The Editor of
  “TWMS Journal of Applied and Engineering Mathematics”
• Three books and over 100 papers + Presentations in English and Russian.

Research Interests
Asypmtotic theory of differential equations
Complex Rays
Mathematical Optics
Contact
Phone: +90 - 216 - 528 7171
E-mail: elman@isikun.edu.tr
Web: http://math.isikun.edu.tr/elman




 77
Active Research Projects
with Openings for MSc Students
The Economic Lot Sizing Problem with
Perishable Items and Production Capacities:

The basic economic lot sizing problem (ELS) is stated as follows. There are known and
deterministic demands over a finite planning horizon of length. Given the production and
inventory holding cost functions, the objective is to find the cheapest production plan. The
Economic Lot Sizing Problem with Perishable Items and Production Capacities (ELSPC) is an
extension of the ELS problem where the items are assumed to deteriorate and hence cannot be
stored in the inventories indefinitely. It has been proven that ELSPC is NP-complete even under
constant production capacities. The aim of this research is to find tighter formulations of the
problem and develop efficient solution algorithms.




                                                                                                  MSc & PhD in Math




                                                                                           78
Türker Bıyıkoğlu
Associate Professor




Degrees
2003 PhD      Mathematics, University of Vienna,
              Vienna, Austria
2000          Diplom Ing. Mathematics, Graz Univ. of Technology, Graz, Austria

Positions
2006-         Dep. of Mathematics, Işık University, Istanbul, Turkey
2005-06       Postdoctoral Fellow, Universite Catholique de Louvain, Belgium
2003-05       Postdoctoral Fellow, Max Planck Institute for Mathematics in the
              Sciences, Leipzig, Germany
2003-03       Postdoctoral Fellow, Vienna Univ. of Economics, Vienna, Austria

Highlights

• Distinguished Young Scholar Award,
  Turkish Academy of Sciences, 2009
  (TÜBA-GEBİP 2009)
• Number of Papers: 20+
• Number of SCI Citations: 170+
• Number of Google Scholar Citations: 250+

Research Interests

• Graph Theory
• Graph Theory Applications in Mathematics, Sciences, Engineering and Social Sciences

Contact

Phone: +90 - 216 - 528 7173
E-mail: turker.biyikoglu@isikun.edu.tr
Web: http://math.isikun.edu.tr/turker/




 79
Active Research Projects with Openings for
MSc, PhD Students and Postdocs
Geometric representations and symmetries of graphs, maps and other
discrete structures and applications in science (GreGAS):

This project is founded by European Science Foundation (ESF). Geometric and other
representations of graphs and graph based combinatorial structures have important
applications in mathematics, computer science, social networks, chemistry, bioinformatics,
etc. The main goal of the project is to develop a coherent theory of graph representations
with emphasis on symmetric and near symmetric structures or products. The research will
be followed by applications of the acquired knowledge to geometrically rich combinatorial
structures like configurations, maps and polytopes, as well as to usually less symmetric large
networks. The motivation for research arises mainly from applications in mathematical
chemistry, bioinformatics and social networks. This study is conducted in collaboration with
eight research groups in Austria, Belgium, Croatia, England, Germany, Israel, New Zealand,
Slovakia, Slovenia, Turkey and USA.

Graph Invariants in Chemical Graph Theory:
We mainly aim to characterize and construct important extremal chemical graphs. Our closely
related object is to find relationships between extremal chemical graphs and related graph and
chemical graph invariants. This is conducted in collaboration with research groups in Turkey and
with research groups at Slovenia.

Graph Theory Problems in Complex Networks:




                                                                                                    MSc & PhD in Math
The primary objective of this project is to find graph theoretical solutions for problems in
biological networks, dynamical systems and complex networks. This study is conducted in
collaboration with Fatihcan Atay at Max Planck Institute for Mathematics in the Sciences,
Leipzig, Germany.

Computing Algebraic Invariants by Using Graph Theory Methods:
We mainly aim to characterize and compute important algebraic invariants Cohen-
Macaulayness and Castelnuovo-Mumford regularity by using graph theoretical methods. This is
conducted in collaboration with Yusuf Civan, Süleyman Demirel University, Isparta, Turkey.

Extremal Eigenvalues and Eigenvectors of Graphs:
The primary objective of this project is to find extemal eigenvalues of important graph classes,
e.g. trees, graphs with a given degree sequence. This study is conducted in collaboration with
Josef Leydold at Vienna University of Economics, Vienna, Austria.

Nano Structures and Graphs:
The primary objective of this project is to find a connection between Nano structures and
graph theory. This study is conducted in collaboration with İsmail Karakurt at Işık University,
Istanbul, Turkey.




                                                                                               80
Hilmi Demiray
Professor




Degrees
1971          PhD Princeton University, Aerospace and
              Mechanical Sciences, NJ, USA.
1967          MSc Civil Engineering ITU, Istanbul- Turkey
1966          BS Civil Engineering, ITU, Istanbul-Turkey

Positions
1999-         Professor, Işık University, Istanbul-Turkey
1999-05       Founding Dean of Faculty of Arts and Sciences, Işık University,
1989-99       Professor, Department of Engineering Sciences, ITU, Istanbul-Turkey
1986-89       Professor, Dep. of Mathematics, Istanbul Univ., Istanbul-Turkey
1982-86       Professor, Dep. of Engineering Sciences, ITU, Istanbul-Turkey
1979-82       Assoc. Professor, Department of Eng. Sciences, ITU, Istanbul-Turkey
1974-79       Senior Research Scientist, Department of Mathematics,
              TUBITAK Marmara Research Center, Gebze, Turkey
1986-93       Director of TUBITAK Research Institute for Basic Sciences, Gebze-Kocaeli-Turkey

Highlights

• 1974 TUBITAK Award for Young Turkish Scientists
• 1978 Science Award of Sedat Simavi Foundation
• 1984 TUBITAK Science Award
• 1993 Member of Turkish Academy of Sciences
• 1996 Science Award of Istanbul Technical University Foundation
• Published over 200 scientific papers with 967 citations.

Research Interests
• Mathematical modelling of soft biological tissues,
• Nonlinear and solitary waves in arteries
• Nonlocal feld theory; Large deformation analysis of elastic materials.

Contact
Phone: +90-216 528 7172
e-mail:demiray@isikun.edu.tr



 81
Banu Uzun
Associate Professor




Degrees
1999 PhD      Mathematics, University of Leeds, Leeds,
              United Kingdom
1995 MSc      Mathematics, Istanbul Technical University,
              Istanbul, Turkey
1993 BSc      Mathematical Engineering,
               Istanbul Technical University, Istanbul, Turkey

Positions
2011-         Associate Head of the Mathematics Dep., Işık University, Istanbul, Turkey
2011-         Associate Prof., Dep. of Mathematics, Işık Univ., Istanbul, Turkey




                                                                                                     MSc & PhD in Math
2008          Associate Prof. (title), Dep. of Mathematics, Işık University, Istanbul, Turkey
2007-11       Assistant Prof., Dep. of Mathematics, Işık Univ., Istanbul, Turkey
2005-07       Assistant Prof. (part-time), Işık University, Istanbul, Turkey
2003-04       Associate Head of the Mathematics Department,
              Istanbul Technical University, Istanbul, Turkey
2001-03       Assistant Prof. (part-time), Yeditepe University, Istanbul, Turkey
2000-07       Assistant Prof., Dep. of Mathematics, Istanbul Technical University,
              Istanbul, Turkey
1994-00       Research Assistant, Dep. of Mathematics, Istanbul Technical
              University, Istanbul, Turkey

Highlights

• Scholarship for Ph.D. (from The Council of Higher Education of the Republic of Turkey)

Research Interests
• Harmonic Analysis
• Operator Theory
• Transform Methods

Contact
Phone: +90 - 216 - 528 7176
E-mail: buzun@isikun.edu.tr
Web: http://math.isikun.edu.tr/banu/index.html


                                                                                                82
Handan Borluk
Assistant Professor




Degrees
2009 PhD      Department of Mathematics, İstanbul Technical University, Turkey
2002 MSc      Department of Mathematics, İstanbul Technical University, Turkey
2000 BSc      Mathematics Engineering, İstanbul Technical University, Turkey

Positions
2011 –        Assistant Professor, Işık University, İstanbul Turkey
2010 – 11     Visiting Researcher, University of Bergen, Bergen, Norway
2009 – 10     Assistant Professor, Işık University, İstanbul Turkey

Contact
Phone: +90 - 216 - 528 7177
E-mail: hborluk@isikun.edu.tr

Research Interests
•Nonlinear Partial Differential Equations
•Nonlinear Wave Propagation
•Stability of Solitary Waves
•Lagrangian Dynamics in Water Waves

Projects
Water waves with weak dispersion and nonlinearity




 83
  Graduate Program in
Mechanical Engineering




                         MSc in ME
Graduate Program in
Mechanical Engineering
Master of Science Program
The Master of Science Program in Mechanical Engineering offers thesis and non-thesis options.
The thesis option requires a minimum of 21-credit hours of course work, a non-credit seminar
course, and completion of a Master of Science Thesis. The thesis option requires a minimum of
12 credits of the course load from ME coded courses, where 6 credits of these may be taken
from upper level undergraduate ME coded courses. The remaining 9-credit course requirement
can be completed by courses offered in other graduate programs. The non-thesis option
requires a minimum of 30-credit hours of course work and completion of a Master of Science
Project. This option requires a minimum of 15 credits of the course load from ME coded
courses, where 9 credits of these may be taken from upper level undergraduate ME coded
courses. The remaining 15-credit course requirement can be completed by courses offered in
other graduate programs. Registration to any courses requires advisor approval.

Course List

ME 500 Graduate Seminar
ME 506 Advanced Manufacturing Processes
ME 507 Mechanical Behavior of Materials
ME 508 Fracture
ME 509 Finite Elements Method
ME 510 Composite Materials
ME 511 Advanced Thermodynamics
ME 512 Conduction and Radiation
ME 513 Advanced Fluid Mechanics
ME 514 Compressible Flow
ME 515 Viscous Flow
ME 517 Renewable Energy
ME 520 Robotics
ME 521 Modern Control Engineering
ME 522 Computer Aided Engineering
ME 523 Advanced Dynamics
ME 580 Term Project
ME 581-589 Special Topics in Mechanical Engineering I - IX
ME 590 Master Thesis




 85
    FACULTY
       &
RESEARCH TOPICS

                   MSc in ME




              86
Ahmet Aran
Professor (Chairperson)




Degrees
1979 PhD      Mechanical Engineering,
              Istanbul Technical University. Istanbul, Turkey
1970          Dipl. Ing. Engineering,
              Istanbul Technical University, Istanbul, Turkey

Positions
2009-         Head Mech. Eng. Dept. Işık University, Istanbul-Turkey
1985-09       Faculty of Mechanical Engineering, Istanbul Technical University, Istanbul, Turkey
1971-84       Research Scientist at the Marmara Research Institute, Gebze, Kocaeli
1970-71       DAAD Schola2 in TU Braunschweig, Germany.
1970-71       Visiting assistant in TU Braunschweig, Germany
1973          Visiting scientist in MIT Cambridge, USA
1980          Visiting scientist in Mannesmann Research Institute, Germany
2000-01       Visiting professor at St. Cloud State University- Minnesota, USA


Highlights
• 1967-70 TUBITAK Scholarship for outstanding students
• 1970-71 DAAD (German Government) postdoctoral fellowship
• 1974 UNIDO postdoctoral fellowship
• 1975 OECD reseach fellowship
• Several travel grants
• Several best paper awards
• Mostly in the annual list of best instructors based on student evaluations

Research Interests

• Materials Science
• Manufacturing Processes
• Engineering Education

Contact
E-Mail: arana@isikun.edu.tr
Phone: 90-2165287140



 87
Can Fuat Delale
Professor

Degrees
1983 PhD     Engineering, Brown University,
             Providence, Rhode Island, USA
1979 MSc     Physics, Lehigh University, Bethlehem
             Pennsylvania, USA
1977 BSc     Mechanical Engineering., Istanbul
             Technical University, Istanbul, Turkey Positions
2009-        Professor, Faculty of Engineering, Işık University,
             Istanbul, Turkey
2000-09      Professor, Faculty of Aeronautics and Astraunautics,
             Istanbul Technical University, Istanbul, Turkey
1999-00      Senior Researcher, TUBITAK Research Institute for Basic Sciences,
             (Feza Gursey Institute), Istanbul,Turkey
1994-99      Professor, Dept of Mechanical Engineering., Istanbul University, Turkey
1990-93      Assoc. Professor, Dept of Mathematics, Bilkent Univ., Ankara, Turkey
1984-90      Asst. and Assoc. Professsor, Dept of Mathematics,
             Bogaziçi University, Istanbul, Turkey

Visiting Positions
• Fachgebiet Gasdynamik, Munich Technical University, Germany (2007, 2008, 2009)
• Institute of Thermomechanics,
• Academy of Sciences of the Czech Republic, Prague (1994, 2001, 2006, 2011)
• Dept of Mechanical Engineering, Worcester Polytechnic Institue, USA (2003,2004, 2005)
• Dept of Mechanical Engineering, University of Tokyo, Japan (2002)
• Dept of Mechanical Engineering, California Institute of Technology, USA (2000)
• Dept of Applied Physics, Eindhoven University of Technology,
  The Netherlands (1995, 1996, 1999)
• Dept of Applied Mathematics and Theoretical Physics, University of Cambridge,
  England (1995, 1998)
                                                                                                 MSc in ME


• Institute für Strömungslehre und Strömungsmachinen, Karlsruhe University of Technology,
  Germany (1991-1992, 1993, 1997, 1998, 1999)
• Max Planck Institute für Strömungsforschung, Göttingen, Germany (1993)

Highlights
• Associate member of Turkish Academy of          Research Interests
  Sciences (1995-2003)                            • Mathematical Modeling of Hydrodynamic
• J.M.Burgers Center Research Professor (1995)      Cavitation
• Alexander von Humboldt Fellow (1991-1993)       • Computational and Asymptotic Methods in
• TUBITAK Young Scientist’s Prize, 1991             Aeroacoustics
• Sedat Simavi Science Prize, 1984                • Bubble Dynamics and its Applications
• Number of Papers + Presentations.: 100+         • Renewable Energy Systems
• Number of SCI Citations: 210+

Contact
Phone: +90 - 216 - 528 7141
E-mail: delale@isikun.edu.tr


                                                                                            88
Esin İnan
Professor




Degrees
1970 PhD      Continuum Mechanics, ITU, Istanbul, Turkey
1966 MSc      Civil Engineering, ITU, Istanbul, Turkey

Positions
2002-         Professor, Işık University, Istanbul, Turkey
2004-07       Vice Rector, Işık University, Istanbul, Turkey
1999-02       Chair, Department of Engineering Science, ITU
1998-99       Visiting Professor, University of CA at Berkeley, USA
1989-02       Professor, Technical University of Istanbul, ITU
1995          Visiting Professor, University of Bath
1992-96       Board Member, Istanbul Science Center Foundation
1991-95       Chair, Turkish Nat. Com. of Theor. & App. Mechanics
1991-94       Dean, Faculty of Science and Letters, ITU
1986-89       Visiting Professor, Princeton University, USA
1986-89       Professor, Civil Engineering Dept., Boğaziçi University
1983          Visiting Professor, Johns Hopkins University, USA
1983-86       Professor, Technical University of Istanbul (ITU)
1979-91       Secretary General, Turkish Nat. Com. of Theor. & App. Mechanics
1976-86       Associate Prof., Technical University of Istanbul (ITU)
1973-75       Senior Res. Assoc. Univ. of Newcastle upon Tyne, UK
1970-76       Asst. Prof, Technical University of Istanbul (ITU)

Highlights
• Specialization fields: continuum mechanics, classical and non-classical models,
  non-local theory, damage mechanics, applied mathematics
• Number of Papers + Presentations: 70+
• Books: 6

Research Interests
• Integral solution of some non-classical, pseudo-parabolic problems.
  Homogenization methods for material modeling of damaged solids.
  Eshelby tensors, micromechanics.

Contact
Phone: +90 - 216 - 528 7163
E-mail: inan@isikun.edu.tr
 89
Erkin Dinçmen
Assistant Professor




Degrees
2011 PhD       Mechanical Engineering, Istanbul Technical University, Turkey
2003 MSc       Mechanical Engineering, Istanbul Technical University, Turkey
2000 BSc       Mechanical Engineering, Istanbul Technical University, Turkey


Positions
2011 –         Assist. Prof., Mechanical Eng., Işık Univ., Istanbul, Turkey
2006 – 11      Researcher, ITU Mekar Labs, Istanbul,Turkey



Research Interests
•Vehicle Stability Control
•ABS Control
•Hybrid Electric Vehicle Control


Contact
Phone: +90 (216) 528 7127
                                                                                    MSc in ME


E-mail: erkin.dincmen@isikun.edu.tr




                                                                               90
PhD Grads




            PhD Grads
Metin Şengül, Ph.D.
Field:          Electronics Engineering

Grad.Year:      2006

Dissertation:   Circuit Model with Mixed Lumped
                and Distributed Elements for Passive
                One-Port Devices

Advisors:       Prof. S. Yarman, Prof. A. Aksen

Current         Assoc. Prof., EE Department,
Position:       Kadir Has Univ., Istanbul, Turkey




                            Habib Şenol, Ph.D.
                            Field:          Electronics Engineering

                            Grad. Year:     2006

                            Dissertation: New Approaches for Channel Advisors:
                                          Estimation in Wireless Communication

                            Advisors:       Prof. E. Panayırcı, Assoc. Prof. U. Bayazıt

                            Current         Asst. Prof., CSE Department,
                            Position:       Kadir Has Univ., Istanbul, Turkey




Alper Şişman, Ph.D.
Field:          Electronics Engineering

Grad. Year:     2010

Dissertation:   Solid-State Arrays And
                Beamformers for Side-Looking
                Intravascular Ultrasonic Imaging

Advisor:        Prof. M. Karaman

Current         Asst. Prof., EE Department,
Position:       Marmara Üniversitesi,
                Istanbul, Turkey; Post-doc fellow,
                University of South Florida, USA


  93
Coşkun Tekeş, Ph.D.
Field:          Electronics Engineering

Grad. Year:     2010

Dissertation:   Ring Array Processing for Forward Looking
                Intravascular and Intracardiac
                Ultrasonic Imaging

Advisor:        Prof. M. Karaman

Current         Post-doc fellow, Mechanical Eng.,
Position:       Georgia Inst. of Tech., Atlanta, USA




                            Sezi Bakım, Ph.D.
                            Field:             Electronics Engineering

                            Grad. Year:        2011

                            Dissertation:      Cooperative Strategies, Achievable Rates and
                                               Resource Allocation for OFDMA Channels

                            Advisor:           Asst. Prof. Onur Kaya

                            Current            Senior Specialist, Network Operations, Planning,
                                                                                                  PhD Grads




                            Position:          Radio Network Architecture & Product Design
                                               Turkcell, Istanbul, Turkey




                                                                                        94
Admissions
Candidates to the graduate programs should submit a complete application package consisting
of the following components (call or check the website for the application deadline):

1.  Application form (available on the website)
2.  Official certificate of the BS graduation (senior students can submit this certificate during
    the registration).
3. Official transcripts for all of the previously earned degrees.
4. ALES/GRE Exam scores
5. ALES (Quant.) ≥ 55, GRE ≥ 610, and GMAT ≥ 450. Each of these test scores is valid for only
    3 years, and then expires. For BS graduates applying to PhD programs, the following scores
    are required: BS GPA ≥ 3.25/4.00 and ALES (Quant.) ≥ 70.
6. Proof of proficiency in English (call or check the website for the details)
7. Two letters of referenc
8. Letter of intent for PhD programs.
9. Voucher of payment of application fee (50 TL) to Akbank-Maslak Branch, Account Number:
    645-96153, IBAN: TR90 0004 6006 4588 8000 0961 53). The fee should be paid for each
    program application.
10. All applications should be submitted to Registrar Office at Maslak or Şile Campuses.


Remarks
•         Applicants are interviewed by admission committees of the programs.
•         Full or partial tuition waivers are granted based on the interview and submitted test scores.
•         Applicants with differing or insufficient backgrounds in the selected field of study may
          be considered for admission, however will be required to complete compulsory remedial
          course work in the initial phase of the relevant graduate program.




     95
            IŞIK UNIVERSITY

Graduate School of Science and Engineering




             Maslak Campus

     Maslak 34398, Istanbul, Turkey




          http://fbe.isikun.edu.tr

            fbe@isikun.edu.tr

    0 212 286 49 11 (Maslak Campus)
                                                  Admissions




                                             96
Graduate School of Science & Engineering

Maslak Campus
Maslak 34398, İstanbul, Turkey

http://fbe.isikun.edu.tr
fbe@isikun.edu.tr
0 212 286 49 11

				
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