Shaowu Pan

Professor Shaowu Pan emphasizes the importance of integrating computational methodologies with scientific inquiry to advance the field of engineering. As an Assistant Professor in the Department of Mechanical, Aerospace, and Nuclear Engineering at Rensselaer Polytechnic Institute, he is dedicated to pushing the boundaries of knowledge in computational fluid dynamics and scientific machine learning. His academic journey is marked by a series of prestigious degrees, including a Ph.D. and M.S.E. in Aerospace Engineering and Scientific Computing from the University of Michigan, Ann Arbor, as well as a B.E. and B.S. in Aerospace Engineering and Applied Mathematics from Beihang University, China. Professor Pan's research is at the forefront of data-driven modeling of complex systems, where he leverages the power of machine learning to unravel the intricacies of dynamical systems. His work has been widely recognized and published in leading journals, reflecting his commitment to excellence and innovation. By bridging the gap between theoretical research and practical applications, he aims to contribute significantly to the advancement of engineering solutions that address real-world challenges. Throughout his career, Professor Pan has been honored with several awards that underscore his contributions to the field. His dedication to research excellence is matched by his passion for teaching and mentoring the next generation of engineers. He believes in fostering a collaborative and inclusive learning environment where students are encouraged to explore and innovate. In addition to his academic pursuits, Professor Pan is actively involved in various professional organizations, contributing to the broader scientific community. His work not only enhances our understanding of complex systems but also paves the way for future advancements in engineering and technology. Through his research and teaching, he continues to inspire and lead in the ever-evolving landscape of engineering.