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Matthias Wildemeersch is a Research Scholar with the Advanced Systems Analysis program (ASA) and the Ecosystems Services and Management program (ESM), having first joined the institute through the IIASA postdoctoral program in 2014.
His scientific interests lie in the broad field of decision making, applying tools from network science, mathematical economics, control, and stochastic optimization. His research aims to provide decision support for problems in multiple fields, extending across welfare economics, landscape ecology, environmental economics, and risk management. His work has many practical implications for policy design in real-life networks on the intersection of economic and behavioral sciences.
Dr. Wildemeersch received his PhD degree in Electrical Engineering, Mathematics and Computer Science at the University of Twente, the Netherlands, in 2013. Previously, he obtained his MSc degree in electro-mechanical engineering from the University of Ghent, Belgium. Dr. Wildemeersch gained professional experience at the Joint Research Centre of the European Commission, the Agency for Science, Technology and Research (A*STAR) in Singapore, and the Singapore University of Technology and Design (SUTD).
Last update: 21-JUN-2018
Wildemeersch M, Franklin O , Seidl R, Rogelj J , Moorthy I, & Thurner S (2019). Modelling the multi-scaled nature of pest outbreaks. Ecological Modelling 409: e108745. DOI:10.1016/j.ecolmodel.2019.108745.
Wildemeersch Matthias, Ronald Chan Wai Hong, Rovenskaya Elena, & Quek Tony QS (2018). Characterization and Control of Conservative and Non-conservative Network Dynamics. IFAC Journal of Systems and Control 5: 22-29. DOI:10.1016/j.ifacsc.2018.07.002.
Wildemeersch M, Rovenskaya E, Fürnkranz-Prskawetz A, & Crespo Cuaresma J (2018). Economic migration and capital flows: Designing policies for global inequality reduction. In: 14th Viennese Conference on Optimal Control and Dynamic Games, June 2018, Vienna, Austria.
Wildemeersch M, Rovenskaya E, & Ilmola Leena (2017). A collaborative expert system for group decision making in public policy. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-17-011
Sun H, Sheng M, Wildemeersch M, Quek T, & Li J (2016). Traffic Adaptation and Energy Efficiency for Small Cell Networks with Dynamic TDD. IEEE Journal on Selected Areas in Communications 34 (12): 3234-3251. DOI:10.1109/JSAC.2016.2600442.
Wildemeersch M, Chan WHR, Rovenskaya E, & Quek TQS (2016). Characterization and Control of Conservative and Nonconservative Network Dynamics. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-16-026
Wildemeersch M, Strelkovskii N , Poledna S, & Leduc M (2016). Network reslience and systemic risk. Methodological approaches to address network resilience. In: European Meetings on Cybernetics and Systems Research, 30 March-1 April 2016, Vienna.
Geraci G, Wildemeersch M, & Quek T Q S (2016). Energy Efficiency of Distributed Signal Processing in Wireless Networks: A Cross-Layer Analysis. IEEE Transactions on Signal Processing 64 (4): 1034-1047. DOI:10.1109/TSP.2015.2494865.
Chan WHR, Wildemeersch M, & Quek TQS (2015). Diffusion control in multi-agent networks. In: 54th Annual Conference on Decision and Control (CDC), 15-18 Dec. 2015, Osaka, Japan. pp. 4190-4195 IEEE. ISBN 978-1-4799-7884-710.1109/CDC.2015.7402872.
Wildemeersch M, Chan WHR, & Quek TQS (2015). Control of Diffusion Processes in Multi-agent Networks. In: Systems Analysis 2015 - A Conference in Celebration of Howard Raiffa, 11 -13 November, 2015, Laxenburg, Austria.
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