Scholar
Shaowu Pan
Google Scholar ID: VOv3F18AAAAJ
Assistant Professor, Rensselaer Polytechnic Institute
Citations & Impact
Citations
3,097
H-index
16
i10-index
16
Publications
20
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- - Publications:
- - Shahriar Akbar Sakib published a paper as first author on learning noise-robust stable Koopman operator for control with Hankel DMD in IEEE Transactions on Control Systems Technology
- - Nithin published a paper as first author on nonlinear dimensionality reduction with convergence in Proceedings of The Royal Society A
- - Published a paper on parametric surrogate modeling for heat transfer with UQ in Progress in Nuclear Energy
- - Awards:
- - Received Google Research Scholar Award in June 2025
- - Presentations:
- - Presented a work on "Toward Intelligent CFD Workflows in the Era of Large Language Models" at Algorithms For Multiphysics Models In The Post-Moore's Law Era in Los Alamos in May 2025
- - Presented a work on "Deep Koopman Sensing" at 1st International Symposium on AI and Fluid Mechanics in May 2025
- - Preprint Release:
- - Released a preprint titled "UniFoil: A Universal Dataset of Airfoils in Transitional and Turbulent Regimes for Subsonic and Transonic Flows" in May 2025, led by Sicheng He's group at UTK
Research Experience
- - Leader of the Computational Scientific Machine Learning (CSML) Lab
- - Affiliated with Rensselaer-IBM Artificial Intelligence Research Collaboration
- - Postdoc at the University of Washington, Seattle
Education
- - Ph.D. in Aerospace Engineering and Scientific Computing from the University of Michigan, Ann Arbor, 2021, advised by Karthik Duraisamy
- - Postdoc at the AI Institute in Dynamic Systems at the University of Washington, Seattle, collaborating with Nathan Kutz and Steve Brunton
Background
- - Research Interests: Scientific machine learning, computational modeling, AI for physical systems
- - Professional Field: Aerospace Engineering, Mechanical, Nuclear Engineering
- - Bio: Currently an Assistant Professor in the Department of Mechanical, Aerospace, and Nuclear Engineering at Rensselaer Polytechnic Institute, Troy, NY, leading the Computational Scientific Machine Learning Lab.
Miscellany
- - The lab provides high-performance computing resources, including supercomputing clusters and high-end workstations for each Ph.D. student
- - Hiring: Actively seeking highly motivated Ph.D. students with a Master's degree in engineering who are passionate about scientific machine learning, computational modeling, and advancing the frontiers of AI for physical systems
