Dr. Priyanka Chandra

Assistant Professor • Department of Mathematics

PhD from

VIT Vellore

Years of Experience

5 Years

Web Pages

Google Scholar

Contact Details

priyanka.chandra@sru.edu.in

Availability

9 AM -5 PM

Enthusiastic about driving cutting-edge AI research towards the advancement of mathematical ideas and their
practical applications. Dedicated to creating a welcoming classroom setting that encourages creative thinking
and new ways of learning.

Interests

Physics Informed Neural Network Computational Fluid Dynamics Finite Element Method Machine Learning

Student Supervision

Ph.D. : 4 ongoing, Post Doc: 1 ongoing

Ph.D. in Applied Mathematics

2025

VIT Vellore

No work experience added.

→ Probability and Statistics
→ Linear Algebra
→ Calculus and Differential Equations
→ Python Programming
→ MATLAB Programming

Key Publications

Chandra, P., & Das, R. (2026). Physics‐Informed Neural Network for Solving Coupled Ordinary Differential Equations. Differential Equations in the Era of Computational Techniques, 335-359.
Chandra, P., & Das, R. (2024). Design of a unified physics-informed neural network using interior point algorithm to study the bioconvection nanofluid flow via stretching surface. Engineering Applications of Artificial Intelligence, 133, 108647.
Chandra, P., & Das, R. (2024). A hybrid machine learning algorithm for studying magnetized nanofluid flow containing gyrotactic microorganisms via a vertically inclined stretching surface. International Journal for Numerical Methods in Biomedical Engineering, 40(1), e3780.
Chandra, P., & Das, R. (2023). A hybrid RSA-IPA optimizer for designing an artificial neural network to study the Jeffery-Hamel blood flow with copper nanoparticles: application to stenotic tapering artery. Results in Engineering, 20, 101542.
Chandra, P., & Das, R. (2023). Finite‐element‐based machine‐learning algorithm for studying gyrotactic‐nanofluid flow via stretching surface. International journal for numerical Methods in Fluids, 95(12), 1888-1912.
Chandra, P., & Das, R. (2023). Impact of gyrotactic microorganisms in nanofluid via porous media along an inclined stretching plate: Finite element analysis. Numerical Heat Transfer, Part B: Fundamentals, 83(6), 367-394.

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Research Projects/Patents

SYSTEM AND METHOD FOR TRAINING PHYSICS-INFORMED NEURAL NETWORK (PINN)

Indian Patent Office

February 2026