Dr. Aswin V. S. is a computational scientist and Assistant Professor at Digital University Kerala, specializing in scientific computing and data-driven modeling of complex systems. He earned his Master’s degree in Computational Science from the Indian Institute of Information Technology Kerala, the parent institution that later evolved into Digital University Kerala. His research journey began during the Master’s program, where he engaged with advanced topics relevant to both industry and academic research. As part of his dissertation, he worked at CSIR Fourth Paradigm Institute, and subsequently continued there as a Project Scientist, gaining hands-on experience in high-performance and data-driven scientific computing.
Aswin received his Ph.D. from the National Institute of Technology Calicut, where he conducted his doctoral research in the Department of Mathematics, focusing on computational methods for partial differential equations and the development of parallel algorithms. Following his Ph.D., he pursued postdoctoral research at the Indian Institute of Science Education and Research, Thiruvananthapuram, and Mahindra University, Hyderabad, working on advanced computational modeling problems. He also served as an Adhoc Faculty at the National Institute of Technology Calicut, where he taught applied mathematics courses to B.Tech students. Prior to joining Digital University Kerala, he worked as an Assistant Professor in the Department of Mathematics at Amrita Vishwa Vidyapeetham, Coimbatore.
His current research focuses on scientific computing and physics-informed neural networks, aiming to bridge classical numerical methods with modern machine learning for scalable, real-world scientific and engineering applications.
1. Aswin, V. S., & Awasthi, A. (2025). A Study on Time-Dependent Two Parameter Singularly Perturbed Problems via Trigonometric Quintic B-Splines on an Exponentially Graded Mesh. International Journal for Numerical Methods in Engineering, 126(19).
2. Sangeetha, C., Aswin, V. S., & Awasthi, A. (2025). Numerical solution of time-dependent two-parameter singularly perturbed problems via Trigonometric Quintic B-spline collocation technique. Physica Scripta, 100(1), 015206.
3. Aswin, V. S., Manimaran, J., & Chamakuri, N. (2023). Space-time adaptivity for a multi-scale cancer invasion model. Computers & Mathematics with Applications, 146, 309–322.
4. Aswin, V. S., TK, R., & Awasthi, A. (2023). Differential quadrature parallel algorithms for solving systems of convection-diffusion and reaction models. Numerical Algorithms, 93(1), 321–346.
5. Mukundan, V., Awasthi, A., & Aswin, V. S. (2022). Multistep methods for the numerical simulation of two-dimensional Burgers’ equation. Differential Equations and Dynamical Systems, 30(4), 909–932.
6. Aswin, V. S., & Awasthi, A. (2021). Systematic formulation of a general numerical framework for solving the two-dimensional convection–diffusion–reaction system. International Journal of Nonlinear Sciences and Numerical Simulation, 22(7–8), 843–859.
7. Aswin, V. S., & Awasthi, A. (2019). A robust numerical scheme for the simulation of nonlinear convection–diffusion–reaction equation. International Journal for Computational Methods in Engineering Science and Mechanics, 20(5), 347–357.
8. Bonkile, M. P., Awasthi, A., Lakshmi, C., Mukundan, V., & Aswin, V. S. (2018). A systematic literature review of Burgers’ equation with recent advances. Pramana, 90(6), 69.
9. Aswin, V. S., & Awasthi, A. (2018). Iterative differential quadrature algorithms for modified Burgers equation. Engineering Computations, 35(1), 235–250.
10. Aswin, V. S., & Awasthi, A. (2017). Polynomial based differential quadrature methods for the numerical solution of Fisher and extended Fisher–Kolmogorov equations. International Journal of Applied and Computational Mathematics, 3(1), 665–677.
11. Aswin, V. S., Awasthi, A., & Rashidi, M. M. (2017). A differential quadrature based numerical method for highly accurate solutions of Burgers’ equation. Numerical Methods for Partial Differential Equations, 33(6), 2023–2042.
12. Aswin, V. S., Awasthi, A., & Anu, C. (2015). A comparative study of numerical schemes for convection-diffusion equation. Procedia Engineering, 127, 621–627.
• Kerala State Council for Science Technology
and Environment (KSCSTE) Research Fellowship (2014).
• SPEED-IT Scholarship (2011).
• Best Outgoing Student Award from College of
Applied Science-Nattika (2011)
