Meet the core team behind the framework


Kaisa Miettinen

Expertise: 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 (, and is the director of the thematic research area “Decision Analytics utilizing Causal Models and Multiobjective Optimization” (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:



Giovanni Misitano

Expertise: 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

Bhupinder Singh Saini

Expertise: 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 Shavazipour

Expertise: 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.



Bekir Afsar

Expertise: 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.