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Department of Mathematics
Samit Bhattacharyya
Assistant Professor,
Department of Mathematics,
School of Natural Sciences
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Education Details
Ph.D. in Mathematical Biology, University of Calcutta, 2006
M.Sc. in Mathematics, University of Calcutta, 1999
Professional Experience
Postdoctoral Fellow, Mathematics and Statistics, University of Guelph, Canada (2009-2010)
Postdoctoral Fellow, Mathematics and School of Medicine, University of Utah, USA (2011-2012)
Postdoctoral Research Associate, Center for Infectious Disease Dynamics, Pennsylvania State University (USA, 2013 – June, 2015)
Research Interests
Samit’s research interests lie at the interface of Mathematics, Biology and Statistics. Using mathematical tools such as nonlinear dynamics, game theory and optimization, he tries to understand complexities at the population and individual level of ecology and evolution of infectious diseases of humans and wildlife, including childhood infections and emerging infectious diseases. Specifically, he is interested in spatiotemporal dynamics of infectious disease, ecology of disease and management, impact of social norms and human behavior in disease and policy making.
Selected Publications
Samit Bhattacharyya, Per H. Gesteland, Kent Korgenski, Ottar N. Bjørnstad and Frederick R. Adler (2015) Cross-immunity between strains explains the dynamical pattern of paramyxoviruses, Proceedings of National Academy of Science, USA, Early edition doi/10.1073/pnas.1516698112

Samit Bhattacharyya, Chris T. Bauch, Romulus Breban (2015) Role of word-of-mouth for programs of voluntary vaccination: A game-theoretic approach Mathematical Biosciences, 269, pp130-134.

Bhattacharyya S. and Bauch C. T. (2015) Parental decisions unfold in layers during a vaccine scare: insights from measles vaccine uptake data, JSM- Mathematics and Statistics, 2(1): 1007.

Ghosh S and Bhattacharyya S. (2013) Spatiotemporal dynamics of insect pest population under viral infection - Mathematical Biosciences, 244(1), 13-21.

Bhattacharyya S. and Bauch C. T. (2012) Individual vaccinating decisions and public health goals in disease control: A role for game theoretical models – An invited commentary, Human Vaccines & Immunotherapeutics, 8(6).

Bauch C. T. and Bhattacharyya S. (2012). Social learning and evolutionary game dynamics determine how vaccine scares unfold -PLoS Computational Biology, 8(4): e1002452. doi:10.1371/journal.pcbi.1002452.

Bhattacharyya S. and Bauch C. T. (2011). “Wait and see” vaccinating behavior during a pandemic: a game theoretic analysis, Vaccine, 29(33), 5519-5525.

Ghosh S. and Bhattacharyya S. (2011). A two-patch prey-predator model with food-gathering activity, J. Applied Mathematics and Computing, 37(1-2), 497-521.

Bauch C.T. and Bhattacharyya S. and Ball B. (2010). Rapid Emergence of Free- Riding Behavior in New Pediatric Immunization Programs, PLoS ONE 5(9): e12594. doi:10.1371/journal.pone.0012594.

Bhattacharyya S. and Bauch C. T. (2010). A game dynamic model for delayer strategies in vaccinating behaviour for pediatric infectious diseases, J. Theoretical Biology 267, 276-282.

Bhattacharyya S. and Ghosh S. (2010). Optimal control of vertically transmit- ted disease: an integrated approach, Computational and Mathematical Methods in Medicine, 11(4), 369-387.

Montopoli L., Bhattacharyya S. and Bauch C. T. (2009). The free rider problem in vaccination policy and implications for global eradication of infectious diseases: a two-country game dynamic model, Canadian J. of Applied Mathematics, 17(2), 317-338.

Bhattacharyya S. and Ghosh S. (2008). A stage-structured stochastic model of sterile male under immigration, Stochastic Analysis and Application, 26, 1-32.

Ghosh, S. and Bhattacharyya S. (2007). Role of latency period in viral infection: A pest control model, Mathematical Biosciences, 210, (2007), 619-646.

Ghosh, S. and Bhattacharyya S. (2007). Effect of Temperature on Viral Infection and Its Control: A Mathematical Approach, J. Theoretical Biology, 247, 50-63.

Ghosh S., Bhattacharyya S. and Bhattacharya D.K. (2007). The Role of Viral Infection in Pest Control: A Mathematical Study, Bulletin of Mathematical Biology, 69, 2649-2691.

Bhattacharyya S. and Bhattacharya D. K. (2007). An improved integrated pest management model under 2-control parameters (Pesticide and sterile males), Mathematical Biosciences, 209, 256-281.

Bhattacharyya S. and Bhattacharya D. K. (2007). A More realistic approach to pest management problems, Bulletin Mathematical Biology, 69, (2007), 1277-1310.

Bhattacharyya S. and Bhattacharya D. K. (2006). Pest control through viral diseases: Mathematical modeling and analysis, J. Theoretical Biology, 238, 177-197.

Book Chapter

Bhattacharyya S. and Sinha, S. (2008). Ecological Networks: Structure, Interaction Strength, and Stability - In Dynamics On and Of Complex Networks: Applications to Biology, Computer Science, Economics, and the Social Sciences, Eds. Niloy Ganguly, Andreas Deutsch, and Animesh Mukherjee, Springer, BIRKHAUSER, BOSTON.

Bhattacharyya S. and Bauch C.T. (2013) Emergent dynamical features of behavioral epidemiology models concerning vaccinating behaviour - In Modeling the Interplay Between Human Behavior and the Spread of Infectious Diseases, Eds. Piero Manfredi and Alberto d’Onofrio. DOI 10.1007/978-1-4614-5474-8 15, Springer, New York.
National and International Recognition

National Board for Higher Mathematics (NBHM)
CSIR NET fellowship
DBT postdoctoral Fellowship

Editorial Board member

JSM Mathematics and Statistics
Austin Journal of Vaccines & Immunotherapeutics
Invited lectures at McMaster University, Wilfred Laurier University, Field Institute in Canada in 2010, Mathematical Biosciences Institute in Ohio State University, University of Tennessee in USA in 2012, Center for Disease Dynamics, Economics and Policy (CDDEP), Washington in 2014, and also several other places in India such as JNCASR, IISC, CAM and IISER.
Executive Summary
Dr. Samit Bhattacharyya started his Mathematical Biology research career modelling population dynamics of insect pest and their management in Ph.D. In the past few years, his research spanned over modelling human infectious disease like measles, whooping cough (pertussis), meningitis, and influenza. He implements both qualitative approach of modelling such as agent-based models, spatial models, stochastic models, network models to get insights into the basic biological processes; and quantitative approaches such as data analysis and statistical inference that helps to evaluate alternative hypotheses about these processes.
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I-Global MBA – 2018-20
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