Koen van Dam is a Research Fellow at Imperial College London in the Urban Energy Systems group. His contributions focus on developing agent-based models of city systems based on spatial and temporal data from multiple sectors, focusing on energy and transport sectors at different scales from individual building to the national level. Such models can then be used to experiment with the impact of local interventions on system-level performance, providing valuable decision support for the design of new services, technologies and policies.
Previously, Koen worked as post-doc in the Energy & Industry group at the faculty of Technology, Policy and Management of the Delft University of Technology (TU Delft). He was visiting researcher in the Urban Energy Systems project at Imperial College as well as at the Department of Chemical and Biomolecular Engineering of the National University of Singapore. He was also the president of Eurodoc, the European council for doctoral candidates and young researchers, and board member of other organisations representing early stage researchers.
After obtaining his pre-university (VWO) high school diploma at the Goois Lyceum in Bussum he studied for his MSc degree in Artificial Intelligence at the Vrije Universiteit in Amsterdam. He graduated with a specialisation in Knowledge Engineering. On the 30th of October 2009 he successfully defended his PhD thesis "Capturing socio-technical systems with agent-based modelling" and was awarded a doctorate from TU Delft.
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et al., 2019, Supporting an integrated transportation infrastructure and public space design: A coupled simulation method for evaluating traffic pollution and microclimate, Sustainable Cities and Society, ISSN:2210-6707, Pages:101796-101796
et al., 2019, Energy-water nexus design and operation towards the sustainable development goals, Computers & Chemical Engineering, Vol:124, ISSN:0098-1354, Pages:162-171
et al., 2019, A holistic resilience framework development for rural power systems in emerging economies, Applied Energy, Vol:235, ISSN:0306-2619, Pages:219-232
et al., 2019, Blockchain-based smart contract for energy demand management, 10th International Conference on Applied Energy (ICAE), ELSEVIER SCIENCE BV, Pages:2719-2724, ISSN:1876-6102