2026-05-19
PIER (Physics-Informed, Energy-efficient, Risk-aware Routing)
HydroML 2026
Presentations
Sharing ideas across disciplines.
Selected research talks and scientific presentations.
2026-03-12
Innovation presentation
Global Innovation Rodeo at Texas House, SXSW 2026
2026-03-10
PIER: Toward Practical, Risk-Aware Voyage Planning
Oden Institute Seminar, University of Texas at Austin
Austin, Texas
2025-10-10
Mathematically Diverse Multiscale Neural Operators: From Bias Correction to Inverse Forcings
Rice AI Seminar Series, Rice University
Houston, Texas
Sept. 25–26, 2025
Enhancing Heat Sink Efficiency in MOSFETs using Physics-Informed Neural Networks (poster)
Scientific Machine Learning for Differential Equations, Oden Institute
Austin, Texas
Apr. 17–18, 2025
Enhancing Heat Sink Efficiency in MOSFETs using Physics Informed Neural Networks ↗
East Coast Optimization Meeting (ECOM), 2025, George Mason University Arlington, Virginia (USA)
Arlington, VA, USA
2023-07-07
Learning bias corrections for climate models using deep neural operators
Applied mathematics symposium: artificial intelligence meets fluid
Zoom, IIT Guwahati, IIT Hyderabad and VIT, India
Mar. 27–29, 2023
Learning bias corrections for climate models using deep neural operators
AAAI 2023 Spring Symposium Series
San Francisco, California
2022-04-22
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction (paper review)
Machine Learning + X, Crunch Seminar, Brown University
Providence, RI, USA
2021-12-23
Applications on Riemann Integration and Metric Space
Applications on Riemann Integration and Metric Space (WARIMS-2021), department of basic sciences, school of technology, Assam Don Bosco University
Zoom, Assam Don Bosco University, India
2021-11-28
Science Seminar
Louisiana Tech University
Ruston, Louisiana
2021-11-01
Neural Network Method for Solving Parabolic Two-Step Microscale Heat, Conduction in Double-Layer Thin Films Exposed to Ultrashort-Pulsed Lasers
Computational Mathematics and Machine Learning Workshop, Lorentz Centre: Netherlands
Zoom
2021-07-23
Neural Network Method for Solving Parabolic Two-Step Microscale Heat, Conduction in Double-Layer Thin Films Exposed to Ultrashort-Pulsed Lasers
Machine Learning + X, Crunch Seminar, Brown University
Providence, RI, USA
Connect
Good science starts
with a conversation.
Interested in research collaboration or joining SPARKS Lab? I welcome conversations across computer science, mathematics, physics, and engineering.
aniruddha_bora@txstate.edu ↗
Department of Computer Science · Texas State University
310D Comal · San Marcos, Texas 78666