Dr. Tsehuai Wu

Professor of the Practice

Department of Mechanical Engineering
University of Maryland, Baltimore County
1000 Hilltop Circle
Baltimore, MD 21250

Phone: (410) 455-3309
Office: ENGR218
Email:  tsewu@umbc.edu

Nameless Lab



Dr. Wu’s study area includes robotics, embedded systems, and guidance, navigation and control (GN&C). He obtained a Ph.D. and M.S. in Mechanical and Aerospace Engineering at George Washington University.  He earned his B.S. from National Tsing Hua University, Taiwan. In 2020, Dr. Wu joined UMBC from Clear Guide Medical, a spinout of the Johns Hopkins Medical Institutions and the Johns Hopkins University, where he applied modern C++ for research and development for IMU and vision-based surgical navigation devices. With multiple years of professional software development experiences, there is a strong commitment for Dr. Wu to combine classroom topics with programming practice.


    • ENME482L – Vibration & Control Laboratory
    • ENME475 – Robotics
    • ENME403 – Automatics Controls
    • ENME303 – Computational Methods for Engineers (Linear Algebra)

Selected Publications

    • T. Wu and F. Hamidi “Using Arduino Kits and Discord to Implement A Fully Remote Laboratory Course During the COVID-19 Pandemic” in ASEE Annual Conference, 2022, no. 36497
    • T. Wu and T. Lee “Angular velocity observer for velocity-free attitude tracking control on SO(3)” International Journal of Control, Automation, and Systems, 2016, 14(5):1289-1298, doi: 10.1007/s12555-015-0163-3.
    • T. Wu, B. Flewelling, F. Leve, and T. Lee “Spacecraft relative attitude formation tracking using line-of-sight measurements” Journal of Guidance, Control, and Dynamics, 2017, Vol. 40, No. 10, pp. 2616-2629.
    • T. Wu, E. Kaufman, and T. Lee “Globally asymptotically stable attitude observer on SO(3)” in Proceedings of IEEE Conference on Decision and Control, 2015, pp. 2164-2168.
    • T. Wu and T. Lee “Spacecraft position and attitude formation control using line-of-sight observations” in Proceedings of IEEE Conference on Decision and Control, 2014, pp. 970-975.