ASA Postdoctoral Researchers

2019

Raquel Guimaraes

In her research at IIASA, Raquel Guimaraes aims to contribute to the extant literature and to policy-making in the field of Population and Environment. She analyzes gender differentials in flood-preparedness drawing on a case study from Brazil and Thailand. More

Moonil Kim

Moonil Kim uses modeling and simulation to build the optimal forest management strategies with BECCS/U system considering Balancing Ecology and Economy in Forestry. More

2018

Andreas Nascimento

Andreas Nascimento joined the Advanced Systems Analysis program and investigates problems involving stochastic optimisation on different fronts. More

2017

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

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

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

Chai Molina

Chai Molina is studying how to build better international environmental agreements using game theory. 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

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

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

2015 

Adam French

Adam French examined the potential for watersheds in the water-stressed Global South to switch to Integrated Water Resource Management—an integrated, multi-sectoral form of water governance. More

2014

Artem Baklanov

Artem Baklanov applies control theory, game theory, and machine learning to informed environmental decision making. More

Daniel Jessie

Daniel Jessie is introducing a new mathematical approach to understanding the nature of dynamical network processes where standard mathematical tools can only provide analytical solutions in the simplest cases. More

Matthias Wildemeersch

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



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Last edited: 06 April 2020

CONTACT DETAILS

Elena Rovenskaya

Program Director:Acting Program Director

Advanced Systems Analysis

Evolution and Ecology

T +43(0) 2236 807 608

Testimonials

Postdoctoral research at IIASA

PUBLICATIONS

Folberth C , Baklanov A , Balkovic J , Skalsky R , Khabarov N , & Obersteiner M (2019). Spatio-temporal downscaling of gridded crop model yield estimates based on machine learning. Agricultural and Forest Meteorology 264: 1-15. DOI:10.1016/j.agrformet.2018.09.021.

Ibarra R & Téllez-León Elizabeth (2019). Are all types of capital flows driven by the same factors? Evidence from Mexico. Empirical Economics DOI:10.1007/s00181-019-01624-5. (In Press)

Baklanov A , Khachay M, & Pasynkov M (2019). Fully Convolutional Neural Networks for Mapping Oil Palm Plantations in Kalimantan. In: Learning and Intelligent Optimization. Eds. Battiti, R., Brunato, M., Kotsireas, I. & Pardalos, P., pp. 427-432 Cham, Switzerland: Springer. ISBN 978-3-030-05347-510.1007/978-3-030-05348-2_35.

Mutis AP & Pérez-Guzmán K (2019). The Natural Resource Curse and Financial Development Of Mexico. In: Financialisation in Latin America Challenges of the Export-Led Growth Model. Eds. Levy, N. & Bustamante, J., pp. 158-176 New York: Routledge. ISBN 978-1-138-61453-6

Pérez-Guzmán K & Mutis AP (2018). Latin American Neoextractivismo: Split or Deepening of the Liberal Model of the Economy? Efil Journal of Economic Research 1 (4): 8-35.

Naqvi A & Stockhammer E (2018). Directed Technological Change in a Post-Keynesian Ecological Macromodel. Ecological Economics 154: 168-188. DOI:10.1016/j.ecolecon.2018.07.008.

Anzaldo G, Benavides G, & Téllez-León E (2018). System Dynamics: An Stock Index Model Applied to the Mexican Case. In: Recent Topics in Time Series and Finance: Theory and Applications in Emerging Markets. pp. 237-261 Guadalajara, Mexico: Universidad de Guadalajara. ISBN 978-607-547-003-010.2139/ssrn.3168060.

Baklanov A , Khachay M, & Pasynkov M (2018). Application of fully convolutional neural networks to mapping industrial oil palm plantations. In: Analysis of Images, Social Networks and Texts. Eds. van der Aalst, W., Batagelj, V., Glavas, G., Ignatov, D., Khachay, M., Kuznetsov, S., Koltsova, O., Lomazova, I., Loukachevitch, N., Napoli, A. et al., pp. 145-158 Switzerland: Springer. ISBN 978-3-030-11027-710.1007/978-3-030-11027-7_16.

Pérez-Guzmán K, Téllez-León E, Kharrazi A , Fath B , & Venegas-Martínez (2018). What makes Input-Output Tables of Trade of Raw Material Goods Peculiar Networks? The World and Mexican Cases. Revista Mexicana de Economía y Finanzas 13 (4): 483-505. DOI:10.21919/remef.v13i4.334.

Naqvi A (2017). Deep Impact: Geo-Simulations as a Policy Toolkit for Natural Disasters. World Development 99: 395-418. DOI:10.1016/j.worlddev.2017.05.015.

Raul IR & Téllez-León E (2017). Are all types of capital flows driven by the same factors? Evidence from Mexico. Banco de Mexico

Chentsov A, Baklanov A , & Savenkov I (2017). On Control Problem with Constraints of Asymptotic Character. In: 8th International Conference on Physics and Control (PhysCon 2017). International Physics and Control Society (IPACS).

Baklanov A , Chentsov A, & Savenkov I (2017). On reachable sets for one-pulse controls under constraints of asymptotic character. Cybernetics and Physics 6 (4): 166-173.

Rekabsaz N, Lupu M, Baklanov A , Hanbury A, Duer A, & Anderson L (2017). Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics. pp. 1712-1721 Vancouver, Canada: Association for Computational Linguistics. 10.18653/v1/P17-1157.

Subkhankulova D, Baklanov A , & McCollum D (2017). Demand Side Management: A Case for Disruptive Behaviour. In: Advanced Computational Methods for Knowledge Engineering. Eds. Le, Nguyen-Thinh, van Do, Tien, Nguyen, Ngoc Thanh & Thi, Hoai An Le, pp. 47-59 Cham, Switzerland: Springer International Publishing AG. ISBN 978-3-319-61911-810.1007/978-3-319-61911-8_5.

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/j.jmp.2015.10.001.

Baklanov A (2016). Nash equilibria in reactive strategies. In: International conference in memory of Academician Arkady Kryazhimskiy, 3-8 October 2016, Ekaterinburg, Russia.

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 (2016). On density properties of weakly absolutely continuous measures. Modern Problems in Mathematics and its Applications 1662: 62-72.

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, Salk C, & Shchepashchenko D (2016). Votes Aggregation Techniques in Geo-Wiki Crowdsourcing Game: a Case Study. In: Proceedings of the 5th International Conference on Analysis of Images, Social Networks and Texts, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016, Revised Selected Papers. pp. 50-60 Springer. (Submitted)

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.

Nurmukhametov OR & Baklanov A (2016). A method for increasing the accuracy of image annotating in crowd-sourcing. Modern Problems in Mathematics and its Applications 1662: 206-214.

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 A (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 A (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

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