ASA Postdoctoral Researchers


Isela-Elizabeth Téllez-León

Isela-Elizabeth Téllez-León works on network-based modeling and big data as part of the crosscutting Systemic Risk and Network Dynamics project at IIASA. More

Katya Pérez-Guzman

Katya Pérez-Guzman’s research aims to study a possible carbon curse by developing a network centrality measure of extractivism of natural resources, based on input output economic models More

Valeria Javalera Rincon

Valeria Javalera-Rincon is working on a project related to the optimal distribution of resources in large-scale systems. More

Mateusz Iskrzyński 

Mateusz Iskrzyński studies the structure of networks in complex systems ranging from ecological food webs to trade and migration networks. He wants to understand how their structure influences and is changed by transitions in these systems.  More

Cláudio Cristino

Cláudio Cristino's studies probabilistic models of times between events, in order to optimize actions of external interventions to the systems, or developing risk prevention and reduction actions. More

Asjad Naqvi

Asjad Naqvi plans to expand his earlier research work on using agent-based models to analyze loss and damage estimates in flood affected regions. More

Sibel Eker

Sibel Eker uses modeling and simulation to address complex policy problems. Her research at IIASA focuses on the validation of systems models used for exploring scenarios to deal with deep uncertainties.  More


 Adam French, RPV & ASA

 Dr. Adam French joins the Risk, Policy, & Vulnerability (RPV) and the  Advanced Systems Analysis (ASA) programs from a Ciriacy-Wantrup  Postdoctoral Fellowship at the University of California, Berkeley. His research focuses on natural resource governance, socio-environmental conflict, and institutional innovation in multi-level systems being transformed by global change. At IIASA, Dr. French will combine meta-analytical and empirical research to examine the implementation of the Integrated Water Resource Management (IWRM) paradigm in contexts of the Global South. This work is targeted at the production of policy-relevant insights and analytical tools, including a conceptual framework for identifying key governance factors that facilitate and hinder the development of more integrated—and ultimately more just, adaptive, and sustainable—watershed management practices. He is the first recipient of IIASA's Peter E. de Janosi Fellowship. 


Artem Bakalanov, ASA          

Dr. Artem Baklanov from Russia joined the Advanced Systems Analysis (ASA) Program from the N.N. Krasovskii Institute of Mathematics and Mechanics (Yekaterinburg, Russia). He is studying the complex dynamics of players interacting under pressures caused by diversification in their individual interests. His research, which is conducted with reference to global economic and political problems, takes into account that each actor may have interests—both long- and short-term ones—which may be in disagreement. Examples would be the iterated Traveler's Dilemma and in the iterated Volunteer's Dilemma in game theory, where the players' long-term and short-term interests are in strong conflict. Analysis of iterated dilemmas will help reveal features of learning through interaction, with a view to allowing individuals to cope with behavioral uncertainty, understanding the interests of other individuals, and adapting to changing social environments

Matthias Wildemeersch, ASA & ESM

Dr. Matthias Wildemeersch joined the Advanced Systems Analysis (ASA)program from the Singapore University of Technology and Design (SUTD). His research interests, which span various aspects of signal processing  and network science,  focus on the application of probability theory and control theory to network dynamics and robustness. A growing number of phenomena, such as viral attacks in computer networks, spreading of information in social networks, or default contagion in financial networks, depend on the network topology and local interactions between agents. The goal of Dr. Wildemeersch’s work is to improve the understanding of the behavior of large-scale, complex networks and define schemes to improve network stability. This research has many practical implications in real-life networks, for instance, for the design of a regulatory framework. 

Daniel Jessie, ASA

Dr. Daniel Jessie originally from the United States joins the Advanced Systems Analysis (ASA) Program   from the University of California, Irvine. At IIASA, Dr. Jessie plans to broaden the research he carried out at Irvine, which focused on developing different analytic approaches to questions that arise in the analysis of complex systems, in particular, the nature of strategically interacting agents. He will thus extend  his methodology  to include, among other things, dynamic agents situated on a network. Jessie will take advantage of the interdisciplinary nature of IIASA research to test application of these techniques to a variety of real-world issues.

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Last edited: 08 November 2017


Piotr Zebrowski

Research Scholar

Evolution and Ecology

Advanced Systems Analysis

T +43(0) 2236 807 235


Jessie D & Saari DG (2016). From the Luce Choice Axiom to the Quantal Response Equilibrium. Journal of Mathematical Psychology 75: 3-9. DOI:10.1016/

McCallum I, Liu W, See L, Mechler R, Keating A, Hochrainer-Stigler S, Mochizuki J, Fritz S, et al. (2016). Technologies to Support Community Flood Disaster Risk Reduction. International Journal of Disaster Risk Science 7 (2): 198-204. DOI:10.1007/s13753-016-0086-5.

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.

Abbott BW, Jones JB, Schuur EAG, Chapin III FS, Bowden WB, Bret-Harte MS, Epstein HE, Flannigan MD, et al. (2016). Biomass offsets little or none of permafrost carbon release from soils, streams, and wildfire: an expert assessment. Environmental Research Letters 11 (3): e034014. DOI:10.1088/1748-9326/11/3/034014.

Baklanov A, Fritz S, Khachay M, Nurmukhametov O, Salk C, See L, & Shchepashchenko D (2016). Improved Vote Aggregation Techniques for the Geo-Wiki Cropland Capture Crowdsourcing Game. In: European Geosciences Union (EGU) General Assembly 2016, 17–22 April 2016, Vienna, Austria.

Baklanov A, Fritz S, Khachay M, Nurmukhametov O, & See L (2016). The Cropland Capture Game: good annotators versus vote aggregation methods. In: Advanced Computational Methods for Knowledge Engineering - Proceedings of the 4th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2016, 2-3 May, 2016, Vienna, Austria. pp. 167-180 Cham, Switzerland: Springer International Publishing. ISBN 978-3-319-38884-710.1007/978-3-319-38884-7_13.

See L, McCallum I, Liu W, Keating A, Hochrainer-Stigler S, Mochizuki J, Fritz S, Dugar S, et al. (2016). The potential of crowdsourcing and mobile technology to support flood disaster risk reduction. In: European Geosciences Union (EGU) General Assembly 2016, 17–22 April 2016, Vienna, Austria.

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.

Chentsov AG & Baklanov AP (2015). On the question of construction of an attraction set under constraints of asymptotic nature. Proceedings of the Steklov Institute of Mathematics 291 (S1): 40-55. DOI:10.1134/S0081543815090035.

Nurmukhametov O, Baklanov A, Fritz S, Khachay M, Salk C, See L, & Shchepashchenko D (2015). How to Increase the Accuracy of Crowdsourcing Campaigns? In: Systems Analysis 2015 - A Conference in Celebration of Howard Raiffa, 11 -13 November, 2015, Laxenburg, Austria.

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.

Jessie DT & Saari DG (2015). Strategic and behavioral decomposition of games. IIASA Interim Report. IIASA, Laxenburg, Austria: IR-15-001

Chentsov AG & Baklanov A (2015). On an asymptotic analysis problem related to the construction of an attainability domain. Proceedings of the Steklov Institute of Mathematics 291 (1): 279-298. DOI:10.1134/S0081543815080222.

Chentsov AG & Baklanov Artem (2015). On an asymptotic analysis problem related to the construction of an attainability domain. Proceedings of the Steklov Institute of Mathematics 291: 292-311. DOI:10.1134/S0371968515040226.

Chentsov AG & Baklanov A (2014). A problem related to asymptotic attainability in the mean. Doklady Mathematics 90 (3): 762-765. DOI:10.1134/S1064562414070333.

Shvidenko A, Schepaschenko D, & Baklanov A (2014). Integrated land information system - A relevant step for development of information background for PEEX? [[Geophysical Research Abstracts]], 16:EGU2014-4143-2

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