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MSc project proposals 2020/21

Inference for models of neuronal activity

Project ID Supervisor Co-supervisor Project title Prospective PhD project Co-funding
1

Paolo Turrini

(Computer Science)

  Manipulation-resistant Social Networks Yes The student will be encouraged to pursue a connection with TWS partners, world-leading consultancy company specialised in real world applications of game theory.
2

Tom Gur

(Computer Science)

  Quantum and Classical Cryptography for Social Benefit Yes Potential for industry co-funding.
3

Gechun Liang

(Statistics)

  Forward stochastic optimisation and its applications in optimal investment Yes  
4

Gechun Liang

(Statistics)

  Constrained optimal stopping/control and its application to liquidity risk modelling Yes  
5

Gechun Liang

(Statistics)

  On dynamic systemic risk models and mechanisms Yes  
6

Jere Koskela

(Statistics)

Jerome Kelleher Variance reduction and uncertainty quantification for phylogenetic MCMC Yes  
7

Martine J Barons

(Statistics)

  Eliciting parameters of multivariate distributions for decision support Yes  
8

Susana Gomes (Mathematics)

Marie-Therese Wolfram (Mathematics) Parameter estimation and model selection for crowd dynamics Yes  
9

Richard Puxty

(Life Sciences)

Erin Gorsich

(Life Sciences)

Survival of the slowest? Relationships between bacterial growth rate and susceptibility to viruses Yes  
10

Robert S. MacKay (Mathematics)

  Community detection Yes Identified depending on desired direction, with two possible external partners being Camvit (a SatNav consultancy) and Birmingham City Council (traffic planning).
11

Kat Rock (Mathematics)

Mike Tildesley

(Life Sciences)

Real-time decision making and adaptive management for African sleeping sickness elimination strategies Yes  
12

Kat Rock (Mathematics)

Simon Spencer (Statistics) Modelling African sleeping sickness at different spatial scales using real-world data Yes  
13

Subhash Lakshminarayana (Engineering)

Carsten Maple (WMG) Data-Driven Analysis of Power Grid Dynamics Under IoT-Based Load-Altering Attacks Yes EPSRC funding.
14

Bo Chen

(Warwick Business School)

  Adaptive Reopening after a Pandemic Lockdown: A Project Management Approach Yes  
15

Richard Everitt (Statistics)

Xavier Didelot and Jere Koskela (Statistics) Bayesian inference of reproduction number from genomic data Yes  
16

Richard Everitt (Statistics)

  Approximate Bayesian Computation (ABC) for calibrating and evaluating Individual Based Models Yes  
17

Juergen Branke (Warwick Business School)

  Bayesian Optimisation with Travelling Cost Yes This project would be in collaboration with Amazon, and we would try to get funding from Amazon (tbc December 2021).
18

Juergen Branke (Warwick Business School)

  Robust Optimisation over Time Yes This project would be in collaboration with Amazon, and we would try to get funding from Amazon (tbc December 2021).
19

Juergen Branke (Warwick Business School)

  A/B testing with Bayesian Optimisation Yes This project is in collaboration with Peter Frazier from Cornell University/Uber (co-funding will be attempted).
20

Juergen Branke (Warwick Business School)

  Calibration and Optimisation of Biopharmaceutical Processes Yes This project would be in collaboration with Biopharmaceutical Manufacturing at Loughborough University (co-funding will be attempted through their contacts).
21

Alexander Fletcher (University of Sheffield)

Michael Smutny (Warwick Medical School) Modelling the mechanics of tissue morphogenesis Yes Support will be provided to apply for a PhD research studentship through society funding or similar, such as from the Anatomical Society.
22

Arpan Mukhopadhyay (Computer Science)

  Dynamics of Information Propagation in Large Networks Yes Possible collaboration with London School of Economics (LSE).
23

Paolo Turrini (Computer Science)

Colm Connaughton (Mathematics) Intelligent Traffic Control via Multi-Agent Reinforcement Learning Yes  
24

Ed Brambley (WMG/Mathematics)

Radu Cimpeanu (Mathematics) Demonstration of Improved Acoustic Simulation Yes Potential collaboration with Airbus, DLR (the German NASA), and Le Mans university's acoustics department.
25

Jonathan Harrison (Mathematics)

Nigel Burroughs (Mathematics) Coordination of cell division in space and time: mechanistic modelling of the spindle assembly checkpoint Yes  
26

Colm Connaughton (Mathematics)

Ian Green (Warwick Medical School) Detecting cardiac irregularities using heart rate data from fitness trackers Yes  
27

Nigel Burroughs (Mathematics)

Annabelle Ballesta (Institute Curie Paris) Robustness and design of optimal cancer chronotherapies Yes Potential partners include international cancer institutes.
28

Mikhail Poluektov (WMG)

Lukasz Figiel (WMG) Atomistic modelling of magnetic shape-memory alloys Yes  
29

Till Bretschneider (Computer Science)

Timothy Saunders (WMS) Tensorflow segmentation of cells in embryonic development Yes The project benefits from strong interactions with our industry partner 3i (Intelligent Imaging Innovations).
30

Gabriele C. Sosso (Chemistry)

Ali H. Hassanali (Trieste) It's all in the Void: a general-purpose algorithm to find regions of empty space in complex networks Yes  
31

Sebastian Vollmer (Statistics)

Juergen Branke (Warwick Business School) Multiobjective optimisation under uncertainty with application to Fairness in ML Yes  
32

Sebastian Vollmer (Statistics)

  (Off Policy-) Reinforcement Learning for risk prediction and intervention Yes  
33

Sebastian Vollmer (Statistics)

  Temporal cross-validation Yes  
34

Massimiliano Tamborrino (Statistics)

Umberto Picchini (Statistics) ABC for point processes in neuroscience Yes  
35

Massimiliano Tamborrino (Statistics)

  Inference for models of neuronal activity Yes  
36

Massimiliano Tamborrino (Statistics)

  Interface between numerics and (computational) statistics Yes  
37

Xuan Vinh Doan (WBS)

  Patient Pathway Capacity Planning with Robust Queueing Theory Yes Potential collaboration with an NHS Trust and/or international collaboration on robust queuing theory.

Reserved projects

Student Supervisor Co-supervisor Project title Prospective PhD project Co-funding
Alex Kaye Robin Thompson (Mathematics)

Mike Tildesley

(Life Sciences)

Modelling the impact of a changing environment on vector-borne disease epidemic risks Yes  
Zak Gittins Robin Thompson (Mathematics)

Ed Hill

(Life Sciences)

Projecting the effectiveness of control interventions during infectious disease epidemics Yes  
Charlie Hepburn Giovanni Montana (WMG) TBD Model-based off-line reinforcement learning Yes University Hospitals Coventry and Warwickshire (UHCW)
Olayinka Ajayi Tanaya Guha (Computer Science) Subarna Tripathi (Intel Labs) Deep Spatiotemporal Models for Video Representation Learning Yes This project is part of an ongoing collaboration with Intel AI San Diego and University of California San Diego. The project may receive funding from Intel.
Satoshi Komuro Marya Bazzi (Mathematics) Magnus Richardson (Systems Biology) Signed clustering in network neuroscience Yes  
Yiming Ma Victor Sanchez (Computer Science) Tanaya Guha and Theo Damoulas (Computer Science) Digital Twin of Urban Crowd Yes Partnership with Transport for London and the Turing Institute. Co-funding will be attempted via EPSRC / Innovate UK.