Elizabeth Qian
About
Elizabeth Qian holds a joint appointment at Georgia Tech as Assistant Professor in the Schools of Aerospace Engineering and Computational Science and Engineering. Her interdisciplinary research develops new computational methods to enable engineering design and decision-making for complex systems. Her specialties are in developing efficient surrogate models through model reduction and scientific machine learning, and in developing multifidelity approaches to accelerate expensive computations in uncertainty quantification, optimization, and control. Elizabeth previously held a postdoctoral appointment as von Karman Instructor at Caltech in the Department of Computing + Mathematical Sciences. She has been the recipient of many awards, including a Caltech-wide award for teaching bestowed by the undergraduate student body, the 2020 SIAM Student Paper Prize, the Fannie and John Hertz Foundation Fellowship, and the NSF Graduate Research Fellowship. She is also an alumna of the U.S. Fulbright student program. She earned her PhD, SM, and SB degrees from the MIT Department of Aeronautics & Astronautics. Affiliations School of Computational Science
Research Performance Summary
First Recorded Paper
Autonomous battery swapping system for small-scale helicopters
Year: 2010
Citations: 150
Venue: 2010 IEEE international conference on robotics and automation
Latest Recorded Paper
Physics-Informed Machine Learning for Characterizing System Stability
Year: 2026
Citations: 0
Venue: AIAA SCITECH 2026 Forum
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.