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: Multiobjective optimization, data-driven, machine learning, explainable artificial intelligence
Giovanni Misitano is a doctoral researcher 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 SainiExpertise: Evolutionary Algorithms, Machine learning
Bhupinder is a postdoctoral researcher 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. Orcid ID: 0000-0003-2455-3008
Babooshka ShavazipourExpertise: 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. orcid.org/0000-0002-6516-4423
Bekir AfsarExpertise: 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. orcid.org/0000-0003-3643-2342
Johanna SilvennoinenExpertise: 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.
Juuso PajasmaaExpertise: multiobjective optimization, explainable artificial intelligence
Juuso Pajasmaa is a doctoral researcher working in the Multiobjective Optimization Group at the University of Jyväskylä. His interests include multiobjective optimization, explainable artificial intelligence and open-source software development. He has been working on the DESDEO framework since summer 2021.
Giomara LárragaExpertise: Multiobjective optimization, evolutionary algorithms
Giomara Lárraga is a postdoctoral researcher working in the Multiobjective Optimization Group at the University of Jyväskylä. Her research focuses on developing new interactive multiobjective evolutionary algorithms (MOEAs) that consider the real needs of decision akers (DMs). This involves the following research topics: 1) component-wise design of interactive MOEAs, 2) providing explanations to the DM to increase their trust in the interactive methods, and 3) designing graphical user interfaces that ease the communication between the DM an the methods. She has been contributing to the DESDEO framework since autumn 2020.
MaoMao LiangExpertise: Evolutionary Algorithms, Performance Indicators
MaoMao Liang is a doctoral researcher working in the Multiobjective Optimization Group at the University of Jyväskylä. She is currently working on indicators for interactive multiobjective optimization. Her research interests include multiobjective optimization and evolutionary algorithms.
Juho RoponenExpertise: Optimization, game theory, decision and risk analysis, machine learning
Juho Roponen is a postdoctoral researcher in the multiobjective optimization group at the University of Jyväskylä. In 2023, he got his D.Sc. (tech) degree in Operations Research from Aalto University, Espoo, Finland. His research interests include optimization, game theory, decision and risk analysis, machine learning, and related applications. orcid.org/0000-0002-7921-0072