Dr. Saikanth Ratnavale is a Research Epidemiological Modeler at the Geosystems Research Institute, Mississippi State University. He works on USDA/ARS-funded projects, applying advanced mathematical frameworks to improve animal disease forecasting. His research focuses on Applied Mathematics, with expertise in Numerical Analysis, Scientific Computing, and Mathematical Modeling. Dr. Ratnavale earned both his M.S. and Ph.D. from Texas Tech University. In previous research roles, he developed parameter estimation methods and optimal control strategies to address a wide range of infectious diseases.
He/him/his
United States
Shaw KE, Peterson JK, Jalali N, Ratnavale S, Alkuzweny M, Barbera C, Costello A, Emerick L, Espana G, Meyer A, Mowry S, Poterek M, de Souza Moreira C, Morgan EL, Moore S, Perkins A. (2025). Co-circulating pathogens of humans: a systematic review of mechanistic transmission models. Proceedings. Biological sciences, 292(2055)
Mihaljevic JR, Borkovec S, Ratnavale S, Hocking TD, Banister KE, Eppinger JE, Hepp C, Doerry E. (2022). SPARSEMODr: Rapidly simulate spatially explicit and stochastic models of COVID-19 and other infectious diseases. Biology methods & protocols, 7(1)
Ratnavale S, Hepp C, Doerry E, Mihaljevic JR. (2022). A sliding window approach to optimize the time-varying parameters of a spatially-explicit and stochastic model of COVID-19. PLOS global public health, 2(9)
Giorgio Bornia, Andrea Chierici, Saikanth Ratnavale. (2022). A comparison of regularization methods for boundary optimal control problems. International Journal of Numerical Analysis and Modeling, (19)
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