Zeguan Wu

Zeguan Wu is a NASA Postdoctoral Fellow in the Department of Computer Science at the School of Computing and Information, University of Pittsburgh, collaborating with Professors Juan Jose Mendoza Arenas, Peyman Givi, and Junyu Liu on quantum computing applications for fluid dynamics. Previously, he completed his Ph.D. in Industrial Engineering at Lehigh University under Tamás Terlaky and Xiu Yang.

His educational background includes:

• Ph.D. in Industrial Engineering, Lehigh University (2020-2025)
• M.S. in Operations Research, Columbia University (2018-2020)
• B.S. in Material Physics, Nanjing University (2014-2018)

Dr. Wu's research centers on quantum algorithm development for optimization and linear algebra problems, with specific focus on adapting interior point methods and tensor-based computations to quantum architectures. His work bridges theoretical quantum computing with practical applications in fluid dynamics simulation and regression analysis, targeting exponential speedups over classical methods through novel preconditioning and inexact solution techniques.

His publication trajectory since 2022 reveals concentrated advancement in quantum interior point methodologies across linear and quadratic optimization domains, increasingly incorporating tensor representations and fluid dynamics applications. These contributions appear in leading quantum computing venues including ACM Transactions on Quantum Computing and IEEE workshops, demonstrating rigorous mathematical foundations with practical quantum hardware considerations.

His primary scientific recognition is:

• NASA Postdoctoral Fellowship

Funded by the NASA Postdoctoral Program, Dr. Wu contributes to quantum fluid dynamics research while maintaining active professional service. He has not yet served as primary advisor for graduate students but gained teaching experience as a graduate TA at Lehigh University for core engineering courses including Mathematical Optimization and Simulation.

At the University of Pittsburgh, he operates within collaborative quantum computing research groups focused on computational fluid dynamics, leveraging institutional expertise in high-performance computing to develop quantum-classical hybrid simulation frameworks for aerospace applications.