T. (Taniya) Kapoor
T. (Taniya) Kapoor
Contact
Profile
Biography
Taniya Kapoor is a doctoral candidate in department of engineering structures, section of railway engineering. Prior to this, she worked as an intern in CAMLab, seminar for applied mathematics at ETH Zurich, on the project: physics-informed neural networks for fully non-linear PDEs. She received her master’s degree in applied mathematics and scientific computing from South Asian university, India and University de Lille, France. Her research interests focus on the fusion of scientific machine learning and engineering.
Expertise
Publications
-
2024
Neural Oscillators for Generalization of Physics-Informed Machine Learning
Taniya Kapoor / Abhishek Chandra / Daniel M. Tartakovsky / Hongrui Wang / Alfredo Nunez / Rolf Dollevoet
-
2024
Physics-informed machine learning for moving load problems
Taniya Kapoor / Hongrui Wang / Alfredo Núñez / Rolf Dollevoet
-
2024
Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations
Taniya Kapoor / Hongrui Wang / Alfredo Núñez / Rolf Dollevoet
-
2023
Physics-Informed Neural Networks for Solving Forward and Inverse Problems in Complex Beam Systems
Taniya Kapoor / Hongrui Wang / Alfredo Nunez / Rolf Dollevoet
-
2022
Predicting traction return current in electric railway systems through physics-informed neural networks
Taniya Kapoor / Hongrui Wang / Alfredo Nunez / Rolf Dollevoet
-
Ancillary activities
-
2024-04-24 - 2025-04-24