Faculty Directory

Xu, Huan

Xu, Huan

Associate Professor
Aerospace Engineering
The Institute for Systems Research
Maryland Robotics Center
Alfred Gessow Rotorcraft Center
3180 Glenn L. Martin Hall
Website(s):

Huan Xu is jointly appointed in the Institute for Systems Research and the Department of Aerospace Engineering. She received her S.B. degree in mechanical engineering and material science from Harvard University in 2007, M.S. and Ph.D. in mechanical engineering from the California Institute of Technology in 2008 and 2013, respectively. Her doctoral work focused on the use of formal methods and timed specification languages in the design and analysis of large-scale, complex, distributed control systems.

Education

  • Ph.D., Mechanical Engineering, California Institute of Technology, June 2013
  • M.S., Mechanical and Civil Engineering, June 2008
  • S.B., Mechanical and Materials Sciences and Engineering, Harvard University, June 2007

 

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Seven of 11 collaborative projects include contributions from engineering

Generations of Graduates: A Full-Circle Celebration

MATRIX Lab researchers walk at same graduation ceremony after graduating years apart

Costello: Advancing Aerial Autonomy

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Short Course Offers Opportunity to Build and Fly Drones

How to Build, Fly, and Verify Autonomous Aerial Systems held in Southern Maryland

New short course focuses on drones

"How to Build, Fly, and Verify Autonomous Aerial Systems" to be held by the MATRIX Lab and UROC this summer

Maryland Engineers Awarded Grants to Address Humanity's Grand Challenges

Twelve projects led by or involving Maryland Engineering faculty have been awarded funding through the Grand Challenges Grants Program, the largest and most comprehensive program of its kind ever introduced at the University of Maryland.

New algorithms for multi-robot systems in low communication situations

Work by Clark School faculty, alumni and students is published on IEEE Access.

Work on the future of regulating autonomous systems published in IEEE Access

Regulatory approaches for autonomous systems should be based on preexisting complex system regulatory frameworks.

Newly-Opened SMART Building to Spur Autonomy Research

Maryland engineering will benefit from state-of-the-art labs and facilities at USMSM.