Research Interests
Featured grants
- Bora, Aniruddha. BobCatalyst POC Grant (TrashFormer), Texas State University, $22450. (Funded: July 2026 - May 2027). Grant.
- Bora, Aniruddha. BobCatalyst Innovation Accelerator Program (BIAP) Award, Texas State University, $5000. (Funded: June 2026 - Present). Grant.
- Bora, Aniruddha. PIER: Physics-Informed, Energy-efficient, Risk-aware routing, Texas State University, Texas State University, $12000. (Submitted: May 1, 2025, Funded: January 1, 2026 - Present). Grant.
- Bora, Aniruddha. Physics-Informed Generative AI (PIGAN) – ALCF Director’s Discretionary Allocation, Argonne National Laboratory, Argonne Leadership Computing Facility (ALCF), U.S. Department of Energy. (Submitted: 2025, Funded: 2025 - 2026). Grant.
- Bora, Aniruddha (Supporting). Machine Learning Methods for Phase Change Heat Transfer Modeling and Design, Brown University, Federal. (Funded: 2024). Grant.
Featured scholarly/creative works
- Oommen, V., Khodakarami, S., Bora, A., Wang, Z., & Karniadakis, G. (n.d.). Learning turbulent flows with generative models: Super-resolution, forecasting, and sparse flow reconstruction. Nature Communication. https://doi.org/https://doi.org/10.1038/s41467-026-70145-4
- Bora, A., Alvarez, I., Chalfant, J., & Chryssostomidis, C. (2026). Enhancing Heat Sink Efficiency in MOSFETs using Physics Informed Neural Networks: A Systematic Study on Coolant Velocity Estimation. Elsevier BV. https://doi.org/10.2139/ssrn.6429612
- Bora, A. (2026, January 24). HeatEnergyDecay: Lean 4 proof of energy decay for linear heat-type flows. https://doi.org/https://doi.org/10.5281/zenodo.18362473
- Oommen, V., Bora, A., Zhang, Z., & Karniadakis, G. E. (2025). Integrating neural operators with diffusion models improves spectral representation in turbulence modelling. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 481(2309). https://doi.org/10.1098/rspa.2024.0819
- Wei, J., Bora, A., Oommen, V., Dong, C., Yang, J., Adie, J., … Mengaldo, G. (2025). XAI4EXTREMES: AN INTERPRETABLE MACHINE LEARNING FRAMEWORK FOR UNDERSTANDING EXTREME-WEATHER PRECURSORS UNDER CLIMATE CHANGE. Retrieved from https://www.climatechange.ai/papers/iclr2025/35
Featured awards
- Award / Honor Recipient: Nucleate Activator Program – Finalist (2026 Cohort), Nucleate (Activator Program). October 2025 - May 2026
- Award / Honor Recipient: Audience Choice Award, Nucleate Texas. October 2025 - May 2026
- Award / Honor Recipient: Bobcat Innovation Challenge, Texas State University. April 11, 2026
- Award / Honor Recipient: BobCatalyst Innovation Accelerator Program Award, Texas State University. April 2026 - April 8, 2026
- Award / Honor Recipient: College of Engineering and Science Scholarship, Louisiana Tech University. 2019 - 2020
Featured service activities
- Reviewer / Referee
Nature Machine Intelligence
- Reviewer / Referee
Neural Networks
- Reviewer / Referee
Engineering applications of artificial intelligence
- Reviewer / Referee
Neural computation
- Reviewer / Referee
Journal of computational physics
- Reviewer / Referee
Neurocomputing