S M Niaz Arifin, PhD

Postdoctoral Associate


I am currently working as a Postdoctoral Associate at the Yale School of Public Health in New Haven, Connecticut, USA.

Previously, I was a Research Assistant Professor in the Department of Computer Science and Engineering at the University of Notre Dame in Indiana, USA. I received my Ph.D. from the University of Notre Dame, M.S. from the University of Texas at Dallas, and B.S. from Bangladesh University of Engineering and Technology (BUET). I have a decade of research and scholarly experiences at multiple universities.

My interdisciplinary research interests include agent-based modeling and simulation, bioinformatics, data warehouses, geographic information systems, and public health. My research has been published in the simulation, modeling, biology, and ecology literature. I've authored over twenty journal articles, conference papers, books, textbooks and book chapters, and given multiple invited talks, research posters, and research presentations around the globe.

Education & Training

PhD University of Notre Dame, Computer Science and Engineering (2013)
MSc The University of Texas at Dallas, Computer Science (2006)
BSc Bangladesh University of Engineering & Technology (BUET), Computer Science and Engineering (2004)
Postdoctoral Associate Yale University
Research Assistant Professor University of Notre Dame

Honors & Recognition

  • Winner of the Travel AwardAmerican Society of Tropical Medicine and Hygiene (ASTMH) (2011)

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Contact Info

S M Niaz Arifin, PhD
Spatial Agent-Based Simulation Modeling in Public Health

My book presents an overview of the complex biological systems used within a global public health setting and features a focus on malaria analysis. Bridging the gap between modeling, simulation and geographic information systems (GIS), it provides a useful introduction to the development of agent-based models (ABMs) by following a conceptual epidemiology model of Anopheles gambiae for malaria. Using spatial ABMs, the book includes mosquito (vector) control interventions and GIS as two example applications of ABMs, as well as a brief description of epidemiology modeling. In addition, we discuss how to most effectively integrate spatial ABMs with a GIS.