Plenary Speakers

We are proud to announce a very strong and diverse line up of keynote speakers for EMO 2013.

Professor Jürgen Branke, University of Warwick, UK

Juergen BrankeJuergen Branke is Professor of Operational Research and Systems at Warwick Business School. His main research interests span multiobjective optimization, the handling of uncertainty (such as optimization in dynamic and stochastic environments), as well as complex systems. Within evolutionary multiobjective optimization, a particular focus of his research is the integration of user preferences. He was co-founder of the Dagstuhl Workshop Series on Multiobjective Optimization, which brought together, for the first time, the communities of evolutionary multiobjective optimization and multi-criteria decision analysis. Prof. Branke has been an active researcher in evolutionary computation for 20 years (14 years in EMO), and has published more than 130 papers in international peer-reviewed journals and conferences. He is area editor of the Journal of Heuristics and associate editor of the Evolutionary Computation Journal.

Professor Kalyanmoy Deb, Indian Institute of Technology Kanpur, India

Kalyan DebKalyanmoy Deb is a Professor of Mechanical Engineering at Indian Institute of Technology Kanpur and is also an Adjunct Professor at the Business Technology Department in the Aalto University in Finland and a visiting professor at the University of Skövde, Sweden. His main research interests are in evolutionary optimization algorithms and their application in optimization and machine learning. He is largely known for his seminal research in developing and applying Evolutionary Multi-Criterion Optimization. He was awarded the prestigious `Infosys Prize' in 2012, `TWAS Prize' in Engineering Sciences in 2012, `Cajastur Mamdani Prize' in 2011, `JC Bose National Fellowship' in 2011, `Distinguished Alumni Award' from IIT Kharagpur in 2011, 'Edgeworth-Pareto' award in 2008, Shanti Swarup Bhatnagar Prize in Engineering Sciences in 2005, `Thomson Citation Laureate Award' from Thompson Reuters for having the highest number of citations in Computer Science in India. His 2002 IEEE-TEC NSGA-II paper is now judged as the Most Highly Cited paper and a Current Classic by Thomson Reuters having more than 3,250 citations.

Dr Patrick Reed, Pennsylvania State University, USA

Pat ReedPatrick M. Reed joined the faculty of the Pennsylvanian State University (PSU) in the fall of 2002 after receiving his PhD in Civil and Environmental Engineering from the University of Illinois at Urbana-Champaign. Dr Reed’s research is focusing on developing innovative management modeling approaches for complex engineered systems and has a particular emphasis on water resources systems. His research is investigating how to effectively combine a wide range of knowledge sources with simulation, optimization, and information technologies to capture impacted systems’ governing processes, elucidate human and ecologic risks, limit management costs, and satisfy stakeholders’ conflicting objectives. The management modeling tools developed by Dr Reed’s research group combine multiobjective optimization, high performance computing, and advanced spatiotemporal visualization and uncertainty modeling techniques to facilitate improved stakeholder decisions.

Professor Theodor Stewart, University of Cape Town, South Africa and University of Manchester, UK

Theo StewartTheodor (Theo) Stewart is professor emeritus of statistical sciences at the University of Cape Town, South Africa, and part-time professor of decision science at the Manchester Business School, University of Manchester, England. He is a former president of the International Society on Multiple Criteria Decision Making, and former vice-president of the International Federation of Operational Research Societies (IFORS). He is currently Editor-in-Chief of the Journal of Multi-Criteria Decision Analysis (published Wiley), and is on the editorial boards of a number of other international journals. His primary research interests are in the application of MCDM methods and concepts, both “soft” and “hard”, to natural resource management problems, including environmental impacts. Applications have included water, energy, fisheries and land use planning, with a particular concern for applications in the developing countries’ context.