معرفی
Zhenbo Wang is an Associate Professor in the Department of Mechanical, Aerospace, and Biomedical Engineering at the University of Tennessee, Knoxville, within the Tickle College of Engineering. Promoted from Assistant Professor (2018-2024) to Associate Professor in August 2024, his work bridges theoretical optimization and real-world aerospace/transportation applications.
His educational journey includes:
- PhD in Aerospace Engineering from Purdue University (2018)
- ME from Beihang University (2013)
- BE from Nanjing University of Aeronautics and Astronautics (2010)
Wang's research centers on convex optimization and machine learning for vehicular systems, with emphases on space vehicles, urban air mobility, and connected transportation. His lab develops computationally efficient methods enabling real-time trajectory planning under complex constraints. Recent work integrates deep reinforcement learning for autonomous vehicle coordination in dense airspace, addressing safety and energy-efficiency challenges in next-generation air transportation systems.
Analysis of his 15 most recent publications (2024-2025) reveals dominant themes: urban air mobility optimization (60% of articles), convex programming applications (45%), and human-AI collaboration (25%). Key trends include energy-aware routing algorithms, spatiotemporal infrastructure planning, and high-fidelity modeling for eVTOL operations, reflecting industry shifts toward sustainable advanced air mobility.
Major recognitions include:
- NSF CAREER Award (2023) for foundational optimization research
- Professional Promise in Research Award (2024)
- Hoffman Research Excellence Award (2023)
- Purdue University teaching honors (2017-2018)
As Associate Editor for IEEE Transactions on Aerospace and Electronic Systems and Senior AIAA Member, Wang mentors graduate students in the Autonomous Systems Laboratory while securing significant grants including his NSF CAREER project. His professional service spans editorial roles for 10+ journals and committee leadership in atmospheric flight mechanics.
The Autonomous Systems Laboratory (ASL) drives innovation in real-time control systems through collaborations with Oak Ridge National Laboratory and industry partners. Current projects focus on drone pollination systems, connected vehicle corridors, and hypersonic vehicle optimization, with strong emphasis on transitioning theoretical advances to operational systems.
