Summary
Biography
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. He currently works on the FCDO Climate Compatible Growth (CCG) project and acts as technical lead for the COP26 Rapid Response Facility. Previous projects include the Climate-KIC projects Smart District Data Infrastructure (SDDI) and Smart Sustainable Districts (SSD), EPSRC-funded projects Digital City Exchange (DCE) and Integrated Development of Low-Carbon Energy Systems (IDLES), as well as the DFID project resilience.io. He is module leader and lecturer for SEF05 Urban Energy Systems at the Sustainable Energy Futures MSc course.
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.
He studied for his MSc degree in Artificial Intelligence at the Vrije Universiteit in Amsterdam and 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.
Publications
Journals
Bustos-Turu G, van Dam KH, Acha S, et al., 2023, An agent-based decision support framework for a prospective analysis of transport and heat electrification in urban areas, Energies, Vol:16, ISSN:1996-1073
Yang L, Iwami M, Chen Y, et al., 2023, Computational decision-support tools for urban design to improve resilience against COVID-19 and other infectious diseases: A systematic review, Progress in Planning, Vol:168, ISSN:0305-9006