Meet the core team behind the framework
Kaisa MiettinenExpertise: Multiobjective optimization, interactive methods, nonlinear optimization, decision analytics
Kaisa Miettinen is Professor of Industrial Optimization at the University of Jyväskylä. Her research interests include theory, methods, applications and software of nonlinear multiobjective optimization including interactive and evolutionary approaches. She heads the Multiobjective Optimization research group (www.mit.jyu.fi/optgroup), and is the director of the thematic research area “Decision Analytics utilizing Causal Models and Multiobjective Optimization” (DEMO, jyu.fi/demo). She works on decision support for both simulation and data-driven problems. She has received the Georg Cantor Award of the International Society on Multiple Criteria Decision Making for independent inquiry in developing innovative ideas in the theory and methodology. Homepage: users.jyu.fi/~miettine/. orcid.org/0000-0003-1013-4689
Giovanni MisitanoExpertise: optimization, machine learning, (explainable) artificial intelligence
Giovanni Misitano is a research assistant working in the Multiobjective Optimization Group at the University of Jyväskylä. His research focuses on the decision making process in Multiple Criteria Decision Making, and how it can be enhanced using explainable machine learning. Can we, and how should we, learn the preferences of a decision maker? He is also a main contributor to the DESDEO framework.
Bhupinder Singh SainiExpertise: Evolutionary Algorithms, Machine learning
Bhupinder is a doctoral researcher in the optimization group at the University of Jyväskylä. His research interests include data analysis, multiobjective optimization, machine learning, evolutionary algorithms, and open source software development. He is one of the primary contributors to the DESDEO framework.
Babooshka ShavazipourExpertise: Multiobjective Optimization, Multi-Criteria Decision Making, (Deep) Uncertainty
Babooshka Shavazipour is a postdoctoral researcher in the Industrial optimization group at the University of Jyvaskyla. His principal research interests lie in the field of multiobjective optimization and multi-criteria decision-making both in theory and applications, mathematical programming, data analysis and impacts upon the data envelopment analysis, scenario planning, and decision-making under (deep) uncertainty. orcid.org/0000-0002-6516-4423
Bekir AfsarExpertise: Optimization, Data-driven decision making, Evolutionary computation
Bekir Afsar is a postdoctoral researcher in the Multiobjective Optimization Group at the University of Jyväskylä. His main research interests are single and multiobjective optimization, data-driven decision making, evolutionary computation, swarm intelligence, and multi-agent systems. For the time being, he is working on assessments of interactive multiobjective optimization methods. orcid.org/0000-0003-3643-2342