Matthias Wildemeersch

Matthias Wildemeersch studies the dynamic behavior of large-scale, complex networks by applying tools from probability theory, control, and network science.

A first line of research is related to different types of diffusion processes that occur in multi-agent networks. Diffusion processes can represent many dynamic network phenomena, such as the communication between organisms, opinion diffusion in social networks, or migration between countries. Yet current models are not able to capture different types of interactions between agents, network asymmetry, or exogenous control of the network dynamics. The developed probabilistic framework  describes diffusion in multi-agent networks and addresses problems related to network stability, speed of propagation, and resilience with respect to external disturbances. The theoretical framework has inspired us to develop a macroeconomic model that explains the interaction between economic migration and capital flows within a network of countries. 

 A second line of research addresses pest outbreaks in ecosystems. Pest outbreaks can strongly affect ecosystem health, and can hence have far-reaching consequences for local economies that depend on specific ecosystem services. I am developing an analytical model to better understand the relevance and interaction of the driving mechanisms of pest outbreaks acting at multiple spatial scales. Specifically, I consider host-pest interactions at the local scale together with topology and connectivity at the landscape scale. The insights that result from this model are subsequently used to design early warning indicators for pest outbreaks and anticipatory forest management strategies, catered to the landscape rather than to individual habitat patches.

More information

Funding: IIASA Postdoctoral Program

Nationality: Belgian

Program: Advanced Systems Analysis & Ecosystems Services and Management Programs

Dates: November 2014 – present


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Last edited: 29 August 2017

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Postdoctoral research at IIASA

PUBLICATIONS

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

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