Purnendu Sardar

About

Mr. Purnendu Sardar is currently working as a Senior Research Fellow (SRF) at the Centre for Mathematical Biology and Ecology (CMBE), Department of Mathematics, Jadavpur University, Kolkata, India. He obtained his B.Sc. and M.Sc. degrees in Mathematics from Presidency University, Kolkata, India in 2020 and 2022, respectively. He qualified the CSIR-UGC NET JRF examination in Mathematical Sciences in June 2022 with an All India Rank (AIR) of 150. His primary research interests lie in Mathematical Biology and Epidemiology, focusing on the formulation and qualitative analysis of nonlinear dynamical models describing the spread and treatment dynamics of diseases such as HIV, cancer, tuberculosis, and diabetes. He also explores the integration of machine learning and hybrid computational approaches for data-driven epidemiological modeling and disease prediction. His work involves stability and bifurcation analysis, sensitivity studies, optimal control, and fractional-order systems, supported by extensive numerical simulations by various software like MATLAB, MATHCONT, MATHEMATICA and PYTHON. Mr. Sardar has published more than fifteen research papers so far in reputed international journals indexed in SCI and Scopus, has actively participated in several national and international conferences, and has served as a reviewer for multiple reputed international journals, contributing to the peer-review process in his field.

Employment

• Jadavpur University P.hD. Research Scholar
  2024 - Present

Education

• Jadavpur University Senior Research fellow (SRF)
  2026 - Present
• Jadavpur University Junior Research Fellow (JRF)
  2024 - 2026
• Presidency University Master of Science
  2020 - 2022
• Presidency University Bachelor of Science
  2017 - 2020
• Canning David Sassoon High School 10th and 12 th Standard
  2008 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (25)

• Data-driven physics-informed neural networks for predicting terrorism dynamics under time delay and economic stress
  Mathematics and Computers in Simulation 2026 DOI: 10.1016/j.matcom.2026.05.032
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• Modeling NRTIs and PIs class drug therapy on the dynamics of HIV infection with real patient data analysis and optimized control strategy
  Scientific Reports 2026 DOI: 10.1038/s41598-025-34601-3
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• Modeling the Impact of Tuberculosis and Diabetes in Pregnant Women Using Machine Learning-Based Physics-Informed Neural Networks with Real-World Data Analysis
  Brazilian Journal of Physics 2026 DOI: 10.1007/s13538-025-01942-3
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• Stability and bifurcation analysis of a discrete-time plant-herbivore model with chaotic dynamics under weak Allee effect on plant
  Franklin Open 2026 DOI: 10.1016/j.fraope.2026.100485
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• Proper Predation and Density-Dependent Mortality Control Chaotic Dynamics: Conclusion Drawn from a Leslie-Gower Type Tritrophic Food Chain Model
  Journal of Applied Nonlinear Dynamics 2026 DOI: 10.5890/jand.2026.03.002
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• Analysing the effects of dual time delays and terror funding class in terrorism dynamics
  Results in Control and Optimization 2026 DOI: 10.1016/j.rico.2026.100662
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• A machine learning approach to colon cancer modeling of intestinal epithelial cells using physics-informed neural networks
  Zeitschrift für angewandte Mathematik und Physik 2026 DOI: 10.1007/s00033-026-02735-7
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• Coupled tipping dynamics: parameter-driven bifurcations and noise-induced transitions in a Leslie–Gower model
  Nonlinear Dynamics 2026 DOI: 10.1007/s11071-026-12596-4
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• Chaotic dynamics and its linear feedback control in a predator–prey interaction model with predation fear and wind flow effect using Physics Informed Neural Networks
  Ecological Modelling 2026 DOI: 10.1016/j.ecolmodel.2026.111613
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• A physics-based machine learning neural network approach to modeling tuberculosis–diabetes comorbidity with socio-economic factors
  International Journal of Dynamics and Control 2026 DOI: 10.1007/s40435-026-02206-x
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