Trustworthy AI Generalist
Capability to generalize to unseen environments.
AI Safety
Make decisions with critical constraints.
Critical Digital Twins
Generative AI with insuffice data.
Physical AI
Apply AI to Mobility/Energy and healthcare.
Adaptable AI Generalist
Digitalize traffic law to safe-guard autonomous vehicles
Safe AI Generalist
Generating realistic driving scenarios with critical generative AI.
Reliable and equal multi-modal AV diagnosis.
Theoretical foundation for new Turing tests for AI.
"By combining the fundamentals of AI with engineering domain knowledge, I'd like to
cultivate a new generation
of professionals leveraging AI to empower a broad range of industries."
My decade-long goal is to cultivate 10 future professors, train 100 industry professionals
through sponsored projects, and educate 1,000 students in the classrooms with diverse
backgrounds to lead the transformative change when applying intelligent autonomy to critical
industries. I am 70% x 78% x 58.4% away from the goal. See our Alumni.
"Our work has garnered attention from media outlets such as the New York Times, Forbes,
TIME, Telegraph, and Wired."
Accelerated Evaluation of Automated Vehicles , University of Michigan,
advised by Huei Peng
Provost's Inclusive Teaching Fellows Award, IEEE George N. Saridis Best
Transactions Paper Award, George Tallman Ladd Research Award, MIT Technology
Review 35 under 35 Award in China, National Science Foundation CAREER Award,
Ford University Collaboration Award, Qualcomm Innovation Award,
Carnegie-Bosch Research Award, Struminger Teaching Award
Please email me to request an appointment.
