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Diederik M. Roijers, Senior Researcher (VUB)
Diederik M. Roijers, Senior Researcher (VUB)
Diederik M. Roijers is both a senior researcher at the AI lab at the Vrije Universiteit Brussel (VUB), and business developer at Urban Innovation and R&D department of the Municipality of Amsterdam. His main research interests are multi-objective decision making, reinforcement learning and decision-theoretic planning. At the Municipality of Amsterdam he helps to set up new projects with a positive societal impact, such as the PEER project. Diederik has extensive experience in starting and organising (new) workshops, special issues, and a competition at venues such as AAMAS, ICML, and JAAMAS.
Hendrik Baier, Assistant Professor (TU/e)
Hendrik Baier, Assistant Professor (TU/e)
Hendrik is an assistant professor at Eindhoven University of Technology and is affiliated with Centrum Wiskunde & Informatica in Amsterdam. His research focuses on planning, which is required for acting towards long-term goals; learning, which is required for acting in unknown environments; and the explainability of planning and learning, which is required for successful human-AI interaction. He has leading roles in collaborative projects with industry partners in sectors such as logistics and transportation, smart manufacturing, and sustainable energy. This includes the Horizon Europe project PEER in which he leads the AI work package and which features the use case of accessible route planning for the municipality of Amsterdam. Hendrik has extensive experience in organizing workshops and competitions at conferences such as IJCAI, ECAI, XAI, or LION.
Mehrdad Asadi, Postdoctoral Researcher (VUB)
Mehrdad Asadi, Postdoctoral Researcher (VUB)
Mehrdad received a Ph.D. in computer engineering in 2021 and is now a postdoc researcher at the AI Lab at Vrije Universiteit Brussel. His research interests range from explainable AI and human-AI collaboration to solving complex multi-objective problems using Artificial Intelligence. After Ph.D. graduation, Mehrdad has been actively involved in several EU Horizon projects, such as SPATIAL and PEER, which aim to foster human-AI interaction via more transparent and explainable methods. Mehrdad has organized a research track on explainable sequential decision-making as part of the XAI World Conference 2025 (XAI-25).
Paolo Speziali, PhD Student (VUB)
Paolo Speziali, PhD Student (VUB)
Paolo is a Ph.D. student in the AI Lab at Vrije Universiteit Brussel, supervised by Prof. Dr. Ann Nowé. He studied Computer Engineering at the University of Perugia, specializing in Data Science, Artificial Intelligence and Causal Inference. He is currently involved in the inclusive city navigation use case for the municipality of Amsterdam as part of the PEER project.
Vishruth Krishnan, Data Scientist (AMS Municipality)
Vishruth Krishnan, Data Scientist (AMS Municipality)
Vishruth holds a Master’s degree in Transport & Planning from TU Delft and currently works as a Data Scientist for the City of Amsterdam. As part of the Innovation team, he collaborates with colleagues at the intersection of data science and transportation engineering. His work spans projects related to accessibility, satellite data, and public transport, all aimed at generating useful insights and enhancing overall mobility across the city.
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