Mathematical Biology

  • S. Pandey, S. Nanda, A. Vutha and R. Naresh, Modeling the impact of biolarvicides on malaria transmission.(Under review)

  • D.I. Wallace, S. Nanda, V. Ratti, S Eszrterhas and A.L. Howell, Treating HIV with a Population of Gene Edited Hematopoietic Progenitor Cells: a Mathematical Model and Analysis. (Under Review)

  • E.J. Schwartz, S. Nanda, and R.H. Mealey, Antibody Escape Kinetics of Equine Infectious Anemia Virus Infection of Horses. Journal of Virology, Volume 89, Number 13 (2015), 6945-6951.

  • Seema Nanda, Lisette de Pillis and Ami Radunskaya, B cell chronic lymphocytic leukemia - A model with immune response , Discrete and Continuous Dynamical Systems - Series B (DCDS-B), June (2013). (pdf)

  • Cecil Ross, Sudhir Krishna and Seema Nanda, CML: The Daedalius Effect: Mechanisms of Resistance and the basic research questions we are asking with a clinical perspective , Chronic Myelogenous Leukemi in India, Chapter 21, 2011. Ranbaxy Super Specialties. (pdf)

  • C. Collins,, S. Lenhart, S. Nanda, Xie Zhong, K Yakovlov and J. Yong, Optimal Control of Harvesting in a Stochastic Metapopulation model, Optimal Control Applications and Methods, January (2011). (pdf)

  • S. Nanda, S. Lenhart & H. Moore. Optimal Control of Treatment in a Mathematical Model of Chronic Myelogenous Leukemia, MathBiosciences, October 2007. (pdf)


  • Work in Progress:
  • S. Nanda and Y. Vyas, Determination of Parameters and Uncertainty Analysis for a TB Model. (Submitted)

  • G. Lan, S. Nanda and D. Stein, A graph theoretical model for multi drug resitance tuberculosis


  • V. Chaddha. S. Majhi, S. Nanda and S. Pandey, Predicting tuberculosis prevalence and incidence in India.

  • S. Datti, S. Nanda and S. Pandey, Comparison of 3 models to determine the interaction between TB diseased and susceptible populations.

  • S. Nanda and S. Dipt, De-constructing a Chronic Myelogenous model.

  • S. Nanda and A. Jayant, Quantifying uptake of anesthetic gas from the lungs.

  • S. Nanda, and S. Majhi, A new paradigm for tissue growth.