About Me

Journey Through Academia 

Dr. Parthasakha Das serves as an assistant professor of applied mathematics at the Rajiv Gandhi National Institute of Youth Development in Sriperumbudur since July 2022. He earned his doctoral degree from IIEST, Shibpur, India, in 2020. His thesis is titled “Mathematical modelling on Tumor—immune system exploring heterogeneous dynamics.” Dr. Das received his Master's degree from Guru Ghasidas University in Bilaspur, Chhattisgarh, in 2011 and completed his undergraduate studies at the University of Calcutta, West Bengal, in 2009. Before embarking on his Ph.D., Dr. Das worked as a visiting faculty member at Narula Institute of Technology in Agarpara, Kolkata, from January 2014 to December 2015. He has qualified for the NET (December 2015) and GATE (2012, 2014) examinations. Throughout his Ph.D. journey, Dr. Das obtained multiple travel grants to present his research at international events, such as CSIR in October 2019 for Russia (which he did not avail), ITS (DST) in June 2019 for Poland, an institutional grant (IIEST) in March 2019 for Turkey, and a visiting research grant from the University of Exeter, UK, in March 2020 (which he also did not avail). Dr. Das has been awarded the JSPS-2021 fellowship for postdoctoral research in Japan.Dr. Das has authored 15 papers in SCI-indexed journals. He is currently a review editor for Frontiers in Computational Neurosciences and possesses reviewing experience for over 21 esteemed international journals. He holds membership in several international research organizations, including the European Mathematical Society (EMS), the Society for Mathematical Biology (SMB), Models of Infectious Disease Agent Study (MIDAS), and the Society for Industrial and Applied Mathematics (SIAM).  Dr. Das specializes in data-driven modeling within mathematical epidemiology and investigates their qualitative dynamics, such as stability, bifurcation, chaos, and optimal control in both delayed and non-delayed systems using deterministic and stochastic frameworks. He is presently concentrating on the integration of machine learning and deep learning within the field of mathematical epidemiology, as well as evolutionary game theory.