Dr. Shah Jamal Alam
Director of Academic Systems & Registrar,
Dhanani School of Science & Engineering
Until June 2014, Dr. Alam was a postdoctoral researcher at the School of GeoSciences, University of Edinburgh working on projects related to land use change and climate change adaptation. Prior to joining the University of Edinburgh, Dr. Alam worked as a postdoctoral researcher at the School of Public Health, University of Michigan (Ann Arbor) in the Koopman Lab (Dynamic Causal Systems in Epidemiologic Analysis) on HIV transmission dynamics and complex networks.
Dr. Alam has a Ph.D. in Computational Social Science from the Centre for Policy Modelling, as well as a Masters from the University of Saarland and an undergraduate degree from the University of Karachi, both in Computer Science. His previous work includes a post as a research assistant in the Multiagent Systems Group at the German Research Centre for Artificial Intelligence (DFKI GmBH). He is also a former member of the National Growth and Development Pilot Project team at the University of Karachi.
He has an extensive interdisciplinary research background and has worked closely with AI experts, physicists, climate adaptation experts, statisticians, epidemiologists, political scientists, anthropologists and social scientists in several international research projects.
For more details, visit his personal homepage at: https://sites.google.com/site/jamialam/
- Ph.D. in Social Simulation, Manchester Metropolitan University, Manchester, UK
- M.Sc. with Honors in Computer Science, Saarland University, Saarbrucken, Germany
- B.S. in Computer Science, University of Karachi, Karachi, Pakistan
- Social network analysis
- Land use change
- Climate change adaptation
- Infectious disease transmission
- Social anthropology
- S.J. Alam and H.V.D. Parunak (Eds.) (2014) Multi-Agent-Based-Simulation XIV: Revised Selected Papers from MABS 2013, Lecture Notes in Artificial Intelligence, vol. 8235, Springer
- Bakker, S.J. Alam, T. Spek, J.van Dijk, M. Rounsevell and A. van den Brink (2015) Exploring the feasibility of realizing an ecological network under conditions of global change, Landscape Ecology, Springer.
- S.J. Alam, X. Zhang, E.O. Romero-Severson, C.J. Henry, L. Zhong, E.M. Volz. B.G. Brenner and J.S. Koopman (2013) Detectable Signals of Episodic Risk Effects on Acute HIV Transmission: Strategies for Analyzing Transmission Systems Using Genetic Data, Epidemics, vol. 5, no. 1, pp. 44-55
- S.J. Alam, A. Geller, R. Meyer and B. Werth (2010) Modelling Contextualized Reasoning in Complex Societies with “Endorsements”, Journal of Artificial Societies and Social Simulation, vol. 13, no. 4
- S.J. Alam, F. Hillebrandt, and M. Schillo (2005) Sociological Implications of Gift Exchange in Multiagent Systems, Journal of Artificial Societies and Social Simulation vol. 8, no. 3
- Land-use change arising from rural land exchange: an agent-based simulation model
Martha M. Bakker, Shah Jamal Alam, Jerry van Dijk, Mark D. A. Rounsevell
Landscape Ecology. February 2015, Volume 30, Issue 2, pp 273-286.
- Experiments in Globalisation, Food Security and Land Use Decision Making
Calum Brown, Dave Murray-Rust, Jasper van Vliet, Shah Jamal Alam, Peter H. Verburg, Mark D. Rounsevell
PLoS ONE 9(12): e114213; December 2014.
- Detectable signals of episodic risk effects on acute HIV transmission: Strategies for analyzing transmission systems using genetic data
Shah Jamal Alam, Xinyu Zhang, Ethan Obie Romero-Severson, Christopher Henry, Lin Zhong, Erik M. Volz, Bluma G. Brenner, and James S. Koopman
March 2013; 5(1): 44-55.
- Modelling Contextualized Reasoning in Complex Societies with “Endorsements”
Shah Jamal Alam, Armando Geller, Ruth Meyer and Bogdan Werth
Journal of Artificial Societies and Social Simulation 13 (4) 6, October 2010.
- The Impact of HIV/AIDS in the Context of Socioeconomic Stressors: an Evidence-Driven Approach
Shah Jamal Alam, Ruth Meyer, Gina Ziervogel and Scott Moss
Journal of Artificial Societies and Social Simulation vol. 10, no. 4 7, October 2007.