Assistant Professor in Operational Research and Computer Science, Faculty of Science
Dr Ender Özcan is an Operational Research and Computer Science lecturer with the Automated Scheduling, Optimisation and Planning (ASAP) research group at the University of Nottingham. He received his PhD from the Department of Computer and Information Science at Syracuse University, USA in 1998. He worked as a lecturer in the Department of Computer Engineering at Yeditepe University, Istanbul, Turkey from 1998-2007. He established and led the ARTIficial Intelligence research group from 2002. He served as the Deputy Head of the Department from 2004-2007. Dr Özcan joined the ASAP group as a senior research fellow in 2008. He has been serving as an executive committee member for the LANCS initiative, which is one of the largest Science and Innovation Rewards given by EPSRC (Engineering and Physical Sciences Research Council, UK). He has been a member of the program committees in major international conferences and refereeing for reputable journals. He has been awarded grants as principal investigator and co-investigator/named researchers from The Scientific and Technological Research Council of Turkey, T.R. Prime Ministry State Planning Organisation and CONACyT. Dr Özcan has published many refereed papers. He has co-organised many workshops/streams on hyper-heuristics and metaheuristics. He has been a member of the organising committee of the ROADEF/EURO challenges since 2010. He served on the advisory board of the Cross-domain Heuristic Search Challenge (CHeSC 2011). He was a guest editor of the first special issue on hyper-heuristics for the Journal of Heuristics, 2010. He is an associate editor of the International Journal of Applied Metaheuristic Computing and Journal of Scheduling.
My research interests and activities lie at the interface of Computer Science and Operational Research: Intelligent decision support systems, search and optimisation (combinatorial optimisation,… read more
My research interests and activities lie at the interface of Computer Science and Operational Research: Intelligent decision support systems, search and optimisation (combinatorial optimisation, constraint optimisation, multi-modal optimisation and multi-objective optimisation) using heuristics, local search, hyper-heuristics, meta-heuristics (in particular memetic algorithms, particle swarm optimisation), hybrid approaches embedding data science techniques and their theoretical foundations.
Modelling of and applications to the complex real-world problems (scheduling, timetabling, cutting&packing, SAT, knapsack problems, TSP, VRP and more) that are at the intersection of computer science and operational research, including grouping (data clustering, graph colouring and bin packing) problems.
The University of Nottingham
School of Computer Science
Nottingham, NG8 1BB
telephone: +44 (0) 115 8466543
Connect with the University of Nottingham through social media and our blogs.
Campus maps | More contact information | Jobs
Browser does not support script.