Zhi-Gang Feng

Zhi-Gang Feng, Ph.D. is an Associate Professor in the Mechanical Engineering Department at the University of Texas at San Antonio (UTSA), where he is affiliated with the Margie and Bill Klesse College of Engineering and Integrated Design. He leads the Multiphase Flow Simulation Lab, focusing on computational fluid dynamics and multiphase flow phenomena.

Dr. Feng received his educational background from prestigious institutions:

• B.S. in Mechanical Engineering and Applied Mathematics from Shanghai Jiaotong University
• M.S. in Mechanical Engineering and Computer Science from Tulane University
• Ph.D. in Mechanical Engineering from Tulane University

Dr. Feng's research spans multiple areas within fluid dynamics and heat transfer, with particular expertise in multiphase flows, computational fluid dynamics, and particle-laden flows. His work encompasses both fundamental theoretical developments and practical applications across various engineering domains. He has made significant contributions to understanding drag forces on non-spherical particles, heat transfer in microchannel systems, granular flow dynamics, and biomedical fluid mechanics. His research integrates advanced numerical methods including immersed boundary methods, lattice Boltzmann methods, and direct numerical simulation techniques to address complex fluid-structure interaction problems.

Dr. Feng's publication record demonstrates a consistent trajectory of impactful research, with recent work focusing on cutting-edge applications such as graphene-water nanofluids for thermal management, microchannel heat sinks, and drug delivery systems. His research bridges fundamental fluid mechanics with practical engineering applications in energy systems, biomedical devices, and industrial processes.

As the director of the Multiphase Flow Simulation Lab at UTSA, Dr. Feng leads a research team dedicated to advancing computational methods for multiphase flow phenomena. His lab employs high-fidelity numerical simulations to investigate complex fluid dynamics problems that are challenging to study through experimental methods alone.