ASWIN V S

Research Interest

Scientific Computing, Physics-Informed Neural Networks (PINNs), Machine Learning with Graphs, Data Analytics and Predictive Modeling, Big Data Analytics and Spatial Big Data

Bio

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 PhD 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 PhD, 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.

Education

PhD, Applied Mathematics, National Institute of Technology Calicut, Kerala India (2019)
MSc. Computational Science, Indian Institute of Information Technology and Management-Kerala, India (2013)
BSc. Electronics, College of Applied Sciences, affiliated to Calicut University, Kerala, India (2011)

Work Experience

Assistant Professor, School of Digital Sciences, Digital university Kerala (2023-present)
Assistant Professor, Department of Mathematics, Amrita Vishwa Vidyapeetham, Coimbatore (2022-2023)
Research Associate, Indian Institute of Science Education and Research Thiruvananthapuram (2021-2022)
Adhoc Faculty, Department of Mathematics, National Institute of Technology Calicut (2020-2021)
Research Associate, Mahindra University (formerly, Mahindra École Centrale) (2019-2020)
Project Scientist, CSIR Fourth Paradigm Institute (2013- 2014)

Teaching

Data Analytics and Visualization
Parallel and GPU Computing
Predictive Analytics
Machine Learning with Graph
Big Data Analytics and Business Intelligence in Government
Big Data Technologies and Cloud Computing
Spatial Big Data Analytics

Publications

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).
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.
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.
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.
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.
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.
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.
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.
Aswin, V. S., & Awasthi, A. (2018). Iterative differential quadrature algorithms for modified Burgers equation. Engineering Computations, 35(1), 235–250.
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.
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.
Aswin, V. S., Awasthi, A., & Anu, C. (2015). A comparative study of numerical schemes for convection-diffusion equation. Procedia Engineering, 127, 621–627.