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Our major research interests include control, modeling, estimation, optimization, and diagnosis of dynamical systems, especially for engine, powertrain, aftertreatment, hybrid, flexible fuel, alternative / renewable energy, energy storage, electrified and conventional ground vehicle, autonomous vehicle, intelligent transportation, smart and sustainable mobility, human-centric automation, cyber-physical, and mechatronic systems.

MSL’s research activities are supported by federal and state agencies as well as industrial companies including National Science Foundation (NSF), NSF-CAREER, Office of Naval Research (ONR), Department of Energy (DOE), U.S. Department of Transportation (DOT), National Highway Traffic Safety Administration (NHTSA), Texas Department of Transportation (TxDOT), General Motors, Ford, Honda, Tenneco, Eaton, Ftech, Denso, and others.

Thanks to the current and past MSL sponsors

Recent Posts

NSF-EFRI: Brain-inspired Algorithms for Autonomous Robots

Profs. Wang, Hayhoe, Wei, and Zhu recently received an NSF Emerging Frontiers in Research and Innovation (EFRI) award “Brain-inspired Algorithms for Autonomous Robots (BAAR)”.  This cross-disciplinary project is a collaboration among four disciplines: Mechanical Engineering, Computer Science, Neuroscience, and Psychology. The research aims to develop novel AI algorithms with principles of neurobiological learning and insights into brain intelligence for autonomous robots such as self-driving vehicles and household collaborative robots.  More information here.

  1. Book on Estimation and Control of Electrified Vehicles by MSL Members Published Leave a reply
  2. UT Austin EcoCAR Team Finished Year 1 Competition with Good Marks Leave a reply
  3. Multiple funded GRA positions for Ph.D. students Leave a reply
  4. CeCe successfully finished her M.S. thesis! Leave a reply