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Researcher Details
 
Name: Professor EK Burke
Organisation: Bangor University
Department: Unlisted
Current EPSRC-Supported Research Topics:
Artificial Intelligence Mathematical Aspects of OR
Transport Ops & Management

Current EPSRC Support
EP/M020258/1 Mathematical models and algorithms for allocating scarce airport resources (OR-MASTER)(C)
Previous EPSRC Support
EP/S017895/1 QMUL ECR Capital Award(C)
EP/S515188/1 Queen Mary University of London NPIF 2018(P)
EP/R51259X/1 NPIF EPSRC Doctoral - Queen Mary University of London 2017(P)
EP/R511596/1 Impact Acceleration Account - Queen Mary, University of London 2017(P)
EP/P511213/1 Institutional Sponsorship 2016- Queen Mary, University of London(P)
EP/K50399X/1 Impact Acceleration Account - Queen Mary, University of London 2012(P)
EP/J017515/1 DAASE: Dynamic Adaptive Automated Software Engineering(C)
EP/H004424/2 SANDPIT: Integrating and Automating Airport Operations(P)
EP/J500938/1 Maths TCC Follow-on-Fund: A National Taught Course Centre in Operational Research (NATCOR): 2011-2016(C)
EP/H000968/1 Towards More Effective Computational Search(C)
EP/H004424/1 SANDPIT: Integrating and Automating Airport Operations(P)
EP/H024905/1 The Logistics of Small Things - A Crossdisciplinary Feasibility Account(C)
EP/F033613/1 The LANCS (Lancaster, Nottingham, Cardiff and Southampton) Initiative in Foundational Operational Research: Building Theory for Practice(C)
EP/E502067/1 A National Taught Course Centre in Operational Research (NATCOR)(C)
EP/D061571/1 Next Generation Decision Support: Automating the Heuristic Design Process(C)
EP/C542207/1 Towards a Framework for Modelling Variation in Automated Decision Support(C)
EP/D027039/1 Hyper-heuristics for Scheduling, Rostering and Routing: An International Collaboration(C)
EP/D031079/1 NETWORK: Interdisciplinary Cutting, Packing and Space Allocation(C)
EP/C523377/1 An investigation of the role of Genetic Programming in a Hyper-Heuristic Framework(C)
EP/C549511/1 Novel Approaches to Radiotherapy Planning and Scheduling in the NHS(C)
EP/C523385/1 An investigation of the role of Genetic Programming in a Hyper-Heuristic Framework(P)
GR/T26115/01 Adaptive Multi-Objective Heuristic and Meta-heuristic Approaches to Space Allocation(P)
GR/T07534/01 Robust Prediction with Explanatory Power for Protein Structure and Related Prediction Problems(C)
GR/T23374/01 Models and Algorithms for Complex Scheduling Problems: A Visiting Fellowship(P)
GR/S75765/01 Hybrid Meta-heuristic Optimisation of Chiral Catalysts(C)
GR/S52414/01 An Investigation of Cutting/Packing and Planning using Automated Algorithm Selection(C)
GR/S67661/01 Service Level Agreement Based Scheduling Heuristics(C)
GR/S70197/01 PLATFORM: Towards More General Optimisation/Search Systems(P)
GR/S31150/01 Novel Metaheuristic Research Directions in Healthcare Personnel Rostering(P)
GR/S64530/01 DNA Mapping by Combinatorial Optimisation - A Visiting Fellowship(P)
GR/S53459/01 Scheduling Agents for distributed timetabling and rostering - A Visiting Fellowship(C)
GR/R95319/01 Fuzzy Multicriteria Approaches to Scheduling and Rescheduling Problems in Uncertain Environments(C)
GR/N04225/02 USING REAL-TIME INFORMATION FOR EFFECTIVE DYNAMIC SCHEDULING(C)
GR/S07124/01 A Dual Examination of Scheduling Problems - A Visiting Fellowship(C)
GR/R60577/01 Investigate Novel Methods for Optimising Shelf Space Allocation(C)
GR/R12268/01 An Interdisciplinary Scheduling Network(P)
GR/N36660/01 AN INVESTIGATION OF HYPER-HEURISTIC METHODS: A NEW GENERATION OF PROBLEMS-SOLVERS(C)
GR/N36837/01 AN INVESTIGATION OF HYPER-HEURISTIC METHODS(P)
GR/N35205/01 CASE-BASED REASONING IN PERSONNEL ROSTERING(C)
GR/N04225/01 USING REAL-TIME INFORMATION FOR EFFECTIVE DYNAMIC SCHEDULING(C)
GR/M95516/01 A CASE BASED APPROACH TO HEURISTIC SELECTION FOR TIMETABLING(P)
GR/K40222/01 TEACHING COMPANY SCHEME WITH MIDLAND SOFTWARE LTD(C)
Key: (P)=Principal Investigator, (C)=Co-Investigator, (R)=Researcher Co-Investigator