Welcome to IIT Mandi
Dr. Nitu Kumari
Dr. Nitu Kumari
Currently working as an Associate Professor in the School of Mathematical & Statistical Sciences, Indian Institute of Technology Mandi since 2019. She held the position of Assistant Professor from 2010 to 2019 in the School of Mathematical and Statistical Sciences at Indian Institute of Technology Mandi. She also served as a Visiting Senior Scientist at the Department of Mathematics, Clarkson University, New York, USA, from 2013 to 2014. She received her M.Sc (Mathematics and Computing), M.Phil, and Ph.D in Applied Mathematics from Indian Institute of Technology (IIT-ISM) Dhanbad in 2005, 2006, and 2009 respectively.
Currently working as an Associate Professor in the School of Mathematical & Statistical Sciences, Indian Institute of Technology Mandi since 2019. She held the position of Assistant Professor from 2010 to 2019 in the School of Mathematical and Statistical Sciences at Indian Institute of Technology Mandi. She also served as a Visiting Senior Scientist at the Department of Mathematics, Clarkson University, New York, USA, from 2013 to 2014. She received her M.Sc (Mathematics and Computing), M.Phil, and Ph.D in Applied Mathematics from Indian Institute of Technology (IIT-ISM) Dhanbad in 2005, 2006, and 2009 respectively.
Updates
The core Research areas of this lab:
The core Research areas of this lab:
- Nonlinear Dynamics & Chaos
- Theoretical PDE
- Mathematical Biology
- Ecological Modeling
- Machine Learning for Dynamical Systems
Recent Publications
Sumit Kumar, S. Sharma, A. Kashyap and Nitu Kumari (2024) Role of Pollution in the Recent Zika Outbreak in Colombia: A Mathematical Study, Journal of Applied Nonlinear Dynamics. 13, no. 3 : 491-505.
Dwivedi, S., & Kumari, N. (2023). Effectiveness of phase synchronization in chaotic food chain model with refugia and Allee effects during seasonal fluctuations. Chaos: An Interdisciplinary Journal of Nonlinear Science, 33(6).
Rana, K. S., & Kumari, N. (2023). Application of dynamic mode decomposition and compatible window-wise dynamic mode decomposition in deciphering COVID-19 dynamics of India. Computational and Mathematical Biophysics, 11(1), 20220152.
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