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: Multiobjective optimization, data-driven, machine learning, explainable artificial intelligence

Giovanni Misitano is a PhD student working in the Multiobjective Optimization Group at the University of Jyväskylä. His research is related to the study and application of interpretable machine learning to data-driven multiobjective optimization. He is also one of the main contributors to the DESDEO framework.


Bhupinder Singh

Bhupinder Singh Saini

Expertise: Evolutionary Algorithms, Machine learning

Bhupinder is a doctoral student in the multiobjective 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 multiobjective 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: Multiobjective optimization, data-driven multi-criteria decision making, evolutionary computation

Bekir Afsar is a postdoctoral researcher in the Multiobjective Optimization Group at the University of Jyväskylä. In 2014, he received his Ph.D. degree in computer engineering from Ege University, Izmir, Turkey. His main research interests are multiobjective optimization, data-driven multi-criteria decision-making, evolutionary computation, interactive multiobjective optimization methods and their applications, and multi-agent systems. He is currently working on assessing the performance of interactive multiobjective optimization methods with both artificial and human decision-makers.



Johanna Silvennoinen

Expertise: Cognitive and affective processes, Human-technology interaction, Psychology of design, Experience re

Johanna Silvennoinen is Postdoctoral researcher of Cognitive Science at University of Jyväskylä. Her research focuses on cognitive and affective processes in human-technology interaction. The goal of her research is to increase the predictability of design decisions in terms of sense making, cognitive information processing fluency and experiential mental contents in technology-interaction. Her research interests also include role of different sensory modalities in experiencing technological artefacts, method development in human-technology interaction, and philosophy of design.