معرفی
Maria Han Veiga is an Assistant Professor at The Ohio State University, located in Columbus, Ohio. Her research focuses on the intersection of machine learning, numerical methods, and computational physics. She holds an office at MW 550, 231 W. 18th Ave.
Her research interests span machine learning theory and applications, numerical methods for PDEs (e.g., ADER schemes, spectral difference methods), astrophysical flows, and interdisciplinary AI applications in science. She has explored topics like RBF approximation, reinforcement learning, and privacy in social networks.
Recent work emphasizes high-order numerical schemes, machine learning-driven algorithms for scientific simulations, and leveraging AI for astrophysical and planetary dynamics. Her publications reflect a balance between theoretical advancements and practical implementations in computational science.
Maria has no listed scientific awards but demonstrates active involvement in cutting-edge research. Her advising and grants focus on machine learning applications and numerical methods, though specific details are not provided here. She is affiliated with labs or teams working on computational physics and AI-driven scientific computing.
