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Research Scholar Advanced Systems Analysis
Ecosystems Services and Management
Capacity Building and Academic Training
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Matthias Wildemeersch is a postdoctoral research scholar at IIASA, jointly with the Advanced Systems Analysis (ASA) program and the Ecosystems Services & Management (ESM) program. He 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).
Dr. Wildemeersch’ research interests span various aspects of probability theory, signal processing, and control, applied to diffusion processes and network science. His current research focuses on the dynamical behavior of large-scale networks, and aims to evaluate and improve network robustness. This work has many practical implications for policy design in real-life networks on the intersection of economic and behavioral sciences.
Last update: 17-DEC-2014
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 978-1-4799-7884-7 DOI:10.1109/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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