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					                                QMUL
                 Interdisciplinary research meeting

            Computer Science, Electrical Engineering,
                Engineering and Mathematics

                           5 November 2003
14.00 Introduction
14.10 Session 1: Dynamical systems / control
14.35 Session 2: Discrete maths / logic / experimental design
15.05 Session 3: Intelligent systems / Information retrieval
15.35 Session 4: Computer vision / multimedia
16.05 What next? Making the inter-disciplinary connections
16.10 Tea/Coffee and discussion groups
16.50 Plenary
17.00 End
                      Why are we here?
•   Goal for the day
•   Explore common interests and multidisciplinary research opportunities
    across our 4 departments, and potential for lightweight IRCs

•   Why multidisciplinary research?
•   The problems we are trying to solve are inherently multidisciplinary:
    understanding and predicting the behaviour of massive data, massive
    networks and massive computation, both natural or artificial

•   Why lightweight IRCs?
•   Goal of CS research strategy: we want to have an international
    reputation for leadership in fundamental and innovative multidisciplinary
    research, and applications, with a lasting impact on the subject
•   IRCs will be centres of critical mass to support significant
    multidisciplinary research, enrich the PhD environment and anchor
    external strategic funding, eg EPSRC, DTI, RDA, EU, industry…
                    The national scene?
•   Research councils
•   Increasing recognition of the importance of multidisciplinary work and
    emphasis on special initiatives : e-science, crime and security, complex
    systems, London software systems IRC, MathFit
•   Increase in mechanisms to support fewer larger grants, at centres of
    critical mass- eg IRC, basic technology grants, Faraday partnerships,
    platform and portfolio grants, maths interdisciplinary critical mass

•   Industry and RDA funding
•   One off projects: often short-term, problem based, need to seize
    opportunities within existing robust infrastructure
•   Major strategic investment: possible where goals align, hard work….

•   RAE despite rhetoric, emphasis still on “traditional” indicators: strong
    publication record in high quality outlets, grants, PhD students
Current QMUL EPSRC support                  ( 4.11.2003 )

Computer Science                    13      2,776,533
Engineering                         6       2,418,037
            [of which Basic Technology Nanotech 1.7M]
Materials                           9       1,554,752
Electronic Engineering              9         979,805
Medicine & Dentistry                1         154,327
Biomedical (IRC)                    4       1,026,187
Physics                             6         607,221
Maths                               14      1,567,708
Chemistry                           10      1,229,019
DTA                                 4       2,231,392

Total number of Grants: 76
Total value of support (UK £): 14,544,981
                       EPSRC grants current on 1.1.03 £K


IT&CS program area                      Maths program area
1   S'oton             22,241           1 Cambridge          3261
2   Nottingham         12,903           2 Imperial           1708
3   Oxford             12,072           3 Bristol            1704
4   Newcastle          11,407           4 Warwick            1326
5   Imperial           11,084           5 Oxford             1292
6   Edinburgh           9185            6 Leeds              1163
7   Manchester          8017            7 Manchester         1011
8   Surrey              7804            8 L'boro              986
9   Glasgow             7669            9 Nottingham          877
10 Cambridge            7451            10 QMUL               661
11 York                 6752
12 QMUL                 6057

Source: EPSRC Annual report 2002-3
Note: IT&CS program covers CS & EE
                        Who are we?
Computer science, external funding ~3.5M, 50% staff < 5 years

Models of computation
• Logic and semantics, logic for computer science, Peter O’Hearn + 8
     Example: model resource allocation in distributed computer systems
• RADAR decision making under uncertainty, Norman Fenton + 2
  Example: apply Bayesian techniques to legal evidence, eg DNA profiling

Interaction and information
• Information retrieval from massive data sets, Mounia Lalmas+ 3
                                Example: new theories of informativeness
• Vision extracting information from image sequences, Sean Gong + 5
                  Example: detecting non-rigid motion in video sequences
• IMC cognition and action human-computer interaction, Pat Healey+ 4
   Example: understanding interaction between improvising jazz musicians

Other work in network and parallel computing, ODL
                          Who are we?
Engineering, RAE 5B, external funding ~3M

•   Computational Fluid Dynamics

•   Medical Engineering

•   Thermofluids Engineering

•   Structures and Computational Mechanics
     – Control engineering
                            Who are we?
•   Electronic Engineering, external funding ~£3.2m

•   Communications Group
     – Antennas and Electromagnetics Lab, Clive Parini + 4
         Example: characterisation of on-body communication channels
     – Intelligent Communications Lab, Laurie Cuthbert + 4
         Example: provision of quality of service on wireless networks
     – Network and Service Assurance Lab, Jonathan Pitts + 3
         Example: resilient optical networking


•   Digital Signal Processing & Multimedia Group
     – Digital Music Lab, Mark Sandler + 3
         Example: automatic polyphonic music transcription using multiple-cause
           models and independent component analysis
     – Multimedia and Vision Lab, Ebroul Izquierdo + 2
         Example: bringing user satisfaction to media access networks
                            Who are we?
Mathematics
• Astronomy Prof John Papaloizou + 12 staff
    – Accretion disks and star-planetary formation
    – Solar wind              -- Imaging (CASSINI)
    – Cosmology & Relativity
• Pure Mathematics Prof Stephen Donkin + 12 staff
    – Group theory - combinatorial, computational
    – Combinatorics           -- Graph theory
    – Logic                   -- Design theory
    – Quantum groups and non-commutative geometry
• Applied Mathematics Prof Christian Beck + 9 staff
    – Dynamical systems -- Relativity
    – Statistical mechanics -- Theoretical biology
• Statistics and Probability Prof Rosemary Bailey + 6 staff
    – Design of experiments
    – Bayesian Statistics
    – Combinatorics
    – Design theory resource server
                           What next?
•   Questions for break out sessions

•   What collaborative short term and long term opportunities can you see


•   What can the departments do to support them


•   What would be your number one priority for a lightweight IRC?

				
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