Faculty Profiles

Aniruddha Bora is an Assistant Professor in the Department of Computer Science at Texas State University. He earned his Ph.D. in Computational Analysis and Modelling from Louisiana Tech University and was previously a Postdoctoral Research Associate in the Division of Applied Mathematics at Brown University. His research focuses on numerical methods, data-driven scientific computing, physics-informed machine learning, and scientific machine learning for multiscale physical systems. In particular, he develops novel neural-operator frameworks, hybrid numerical–machine learning solvers, and multi-fidelity operator approaches, with applications in turbulence, climate science, nanoscale heat transfer, and metamaterials. He is also actively interested in interpretable machine learning, aiming to build models that not only achieve high predictive accuracy but also provide insights into the underlying physical and statistical mechanisms. Dr. Bora’s contributions have appeared in prestigious venues such as International Journal of Heat and Mass Transfer; Proceedings of the Royal Society A; Advanced Materials; Applied Mathematics and Computation; Communications in Computational Physics; Neural Networks; and AAAI. His recent co-authored work includes an ICLR 2025 CCAI Workshop paper and an AI4X conference paper on explainable-AI frameworks for extreme weather. He also serves the scientific community as an external reviewer for leading journals and conferences in machine learning, scientific computing, and applied mathematics, and he is an ATPESC alumnus.