معرفی
Feng Zhu is an Associate Research Professor at the Hopkins Extreme Materials Institute (HEMI) and holds an adjunct appointment in the Department of Mechanical Engineering at Johns Hopkins University. His research spans impact mechanics, trauma biomechanics, injury prevention, and AI-driven mechanical design, with applications in transportation safety and protective systems.
- B.Eng., Central South University, China
- M.Phil., University of Hong Kong
- Ph.D., Swinburne University of Technology, Australia
His research focuses on impact mechanics, particularly energy absorption in composite and architectured materials under extreme loading. He investigates trauma biomechanics, including injury mechanisms from blast and impact, using human body digital twins and high-strain-rate tissue properties. A key innovation is his work on AI-driven mechanical design, applying machine learning and data mining to optimize energy-absorbing structures, battery safety, and vehicle crashworthiness. His work bridges computational modeling, experimental validation, and real-world safety applications.
The recent publications highlight a strong trend in integrating machine learning with finite element modeling to enhance the design of protective systems, particularly in lithium-ion battery safety, helmet padding optimization, and bio-inspired energy absorbers. Topics span from blast injury mitigation to autonomous vehicle safety, reflecting interdisciplinary collaboration and practical impact.
- Fellow, SAE International
- SAE Forest R. McFarland Award, 2019
Feng Zhu has secured research funding from government agencies and defense and automotive industries. He has advised students in biomechanics and mechanical design, though specific names are not listed. His editorial roles include Associate Editor for Frontiers in Future Transportation and SAE International Journal of Electrified Vehicles, and editorial board membership in Energies, International Journal of Applied Mechanics, and others. He has reviewed for over 50 journals across biomechanics, materials science, and mechanical engineering.
He is affiliated with HEMI and the Ralph S. O’Connor Sustainable Energy Institute at Johns Hopkins, collaborating with teams focused on extreme materials, energy systems, and safety technologies. His lab integrates computational modeling, experimental testing, and AI to advance protective systems for humans and vehicles.
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