RUI_YANG by nuhman10

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									                                                   RUI YANG
         1219 S Dorsey Ln APT 101 | Tempe, AZ 85281 | 480-628 (0840) | ryang8@asu.edu | www.public.asu.edu/~ryang8

OBJECTIVE
 Seeking internship position of Software Engineering Support (algorithm/test) or Data Analyst Strategist

QUALIFICATIONS
 Hard worker and quick learner | “Can do attitude” | Good communication and teamwork skills
 Six years programming experience with C/C++, Matlab; Working-level knowledge of Python, Java
        Finished three Matlab program packages (total over 10 4 lines, and downloaded by over 200 times)
        Proven ability of parallel programming on Linux cluster server and large-scale data analysis
        Proven ability to diagnose, analytically analyze, and troubleshoot technical problems
 Strong mathematical and physical academic background
        Probability theory and statistics; Differential equation (ODE/PDE); Optimization
        Mathematical modeling and Monte Carlo simulation; Numerical calculation; Data mining and
         information visualization; Signal processing and reconstruction

EDUCATION
Ph.D. in Electrical Engineering                                August 2007- July 2012
Arizona State University, USA (Advisor: Prof. Ying-Cheng Lai ) Overall GPA: 3.80/4.0             Major GPA: 4.0/4.0
BS in Applied Physics                                                 August 2003-July 2007
Univ. Sci. Tech. China (USTC), China                                  Overall GPA: 3.49/4.0      Major GPA: 3.67/4.0

HONORS
   Graduate Research Assistantship (20 hrs/week), Arizona State University, August 2007 – Present
   Nonlinear Dynamics Research Center Internship (40 hrs/week), Arizona State University, Summer 2008/2010
   Graduate Student Travel Grant for Attending “Dynamics Days”, Jan. 2008, Jan. 2009 and Jan. 2010
   Annual Scholarship for Excellent Students, USTC, China, 2004, 2005

RELEVANT PROJECTS
 Data analysis and social network/link prediction, Fall 2008 – Present (supported by NSF)
     Technologies: C/C++, Matlab, Python, LaTeX, XFig, SSH, Windows/Linux, etc.
     Model and classify the network structure based on the scaling characteristics of empirical network data
     Predict the unknown links or connections in social networks using less than 40% data points
     Model and simulate the rumor/information spreading on social networks (Facebook)

    Time-series analysis/reconstruction by compressive sensing, Spring 2009 – Present
    Technologies: Matlab, C/C++, Python, LaTeX, XFig, SSH, Windows/Linux, etc.
     Expand the vector field or map of the underlying dynamical system into a suitable function series
     Predict the parameters of system based on time series by compressing sensing (L1-norm optimization)
     Numerically solve the reconstructed dynamical systems (ODE/PDE) to predict future time series
     Perform bifurcation analysis to locate potential catastrophic/unexpected events in the parameter space

    Econo-physics modeling and understanding, Fall 2007 –Fall 2009 (supported by NSF)
    Technologies: C/C++, Matlab, Python, ORIGIN, LaTeX, Windows/Linux, etc.
     Model and analyze the mechanisms of chain-reaction bankruptcies process based on game theory
     Understand how self-organized cooperation behavior emerged in social and economical systems
     Use finite difference method and Euler/Runge-Kutta method to numerically solve different ODEs/PDEs

    Routing strategies design on networks, Fall 2006 – Present (supported by NSF and AFOSR)
    Technologies: C/C++, Matlab, Mathematica, Python, ORIGIN, LaTeX, XFig, SSH, Windows/Linux, etc.
     Design routing strategies to optimize information spreading or suppress traffic congestion on networks
     Consider the information spreading dynamics with unsymmetrical uploading/downloading capacities
     Investigate transient chaos (weak-synchronizability, characterized by the eigenvalue spectrum of the
      network’s coupling matrix) in dynamically growing networks’ time series




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Semiconductor transport simulation and device design, Spring 2009 - Present (supported by AFOSR)
 Technologies: Matlab (Parallel programming), Python, LaTeX, XFig, SSH, Windows/Linux, etc.
  Numerically compute the conductance in conventional semiconductor (described by Schrödinger equation)
   and in Graphene (described by Dirac equation, single-layer graphite)
  Control conductance/transmission in disordered Graphene nanojuctions through stochastic resonance
  Investigate the scaling properties of relativistic pointer states in open Graphene pointer states
  Design and simulate the performance of Graphene-based semiconductor devices

Wireless communication simulation and Image processing, Spring/Fall 2010 (course projects)
 Technologies: Matlab, C++(OpenCV), LaTeX, Windows/Linux, etc.
  Monte Carlo simulation and performance analysis for BPSK-modulated CDMA systems in the uplink
  Convolutional coded-OFDM system simulation
  Design viterbi algorithms and compare the simulation performance of it with MMSE equalizers
  Apply Viola-Jones detector to do face/eye detection and mosaic

MAJOR COURSES/GRADES
Multidimensional Signal Process/A        Detection/Estimation Theory/A-             Random Signal Theory/A
Digital Image/Video processing/A              Information Theory/A                  Broadband Networks/A
  Wireless Communications/A+                Digital Communications/A              Communication Systems/A-


SELECTED PUBLICATIONS

 1. Rui Yang, Ying-Cheng Lai, V. Kovanis, and M. Harrison, “Nonlinear dynamical system prediction by
    compressive sensing strategy”, IEEE Trans. on Information Theory, submitted.
 2. Rui Yang, Liang Huang, Ying-Cheng Lai, and C. Grebogi, “Uniquely relativistic quantum behavior and
    extreme conductance fluctuations in graphene”, Physical Review Letters, submitted.
 3. Wenxu Wang, Rui Yang, Ying-Cheng Lai, and C. Grebogi, “Predicting catastrophes in nonlinear dynamical
    systems by compressive sensing”, Physical Review Letters, accepted.
 4. L.-L. Jiang, L. Huang, Rui Yang, and Y.-C. Lai, "Control of transmission in disordered graphene nanojunctions
    through stochastic resonance," Applied Physics Letters 96, 262114 (2010).
 5. D. K. Ferry, L. Huang, Rui Yang, Y.-C. Lai , and R. Akis, "Open quantum dots in graphene: scaling relativistic
    pointer states,'' Journal of Physics: Conference Series 220 , 012015 (2010).
 6. Wenxu Wang, Rui Yang, and Ying-Cheng Lai, “Cascade of bankruptcy and emergence of pure cooperation in
    evolutionary games on networks”, Physical Review E (Rapid Communication), 81, 035102 (2010).
 7. Rui Yang, Liang Huang, and Ying-Cheng Lai, “Transient disorder in dynamical growing networks”, Physical
    Review E 79, 046101 (2009).
 8. Rui Yang, Wen-XuWang, and Ying-Cheng Lai, "Optimal weighting scheme for suppressing cascades and
    traffic congestion in complex networks", Physical Review E 79, 026112 (2009).
 9. Rui Yang, Liang Huang, and Ying-Cheng Lai, "Selectivity-based information spreading dynamics on complex
    networks", Physical Review E 78, 026111 (2008).
 10. Rui Yang, Tao Zhou, Yan-Bo Xie, Ying-Cheng Lai, and Bing-Hong Wang, “Optimal contact process on
    complex networks”, Physical Review E 78, 066109 (2008).
 11. Rui Yang, Bing-Hong Wang, Jie Ren, and Tao Zhou, “Epidemic spreading on heterogeneous networks with
    identical infectivity”, Physics Letters A 364, 189 (2007).

 Note: Physical Review E, is a top-rated journal in Interdisciplinary and Statistical Physics field
 Total 16 journal papers (12 published, 4 submitted/under revision)

REFERENCES AVAILABLE UPON REQUEST




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