The Safe AI Lab at CMU aims to design trustworthy physical AI Agents for high-state applications at scale by bridging fundamental machine learning theories and engineering technologies. We actively collaborate with leading industrial partners, including Google, Nvidia, Amazon, Apple, Microsoft, IBM, Ford, Uber, Bosch, Toyota, Rolls-Royce, and Boeing, as well as with healthcare providers like the Mayo Clinic, Highmark, and the Cleveland Clinic.
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.
Long-horizon sequential decision-making.
Digitalize traffic law to safe-guard autonomous vehicles
Safe AI Generalist
Generating realistic driving scenarios with critical generative AI.
Foundation modals for cardiac diagnosis.
Theoretical foundation for new Turing tests for AI.
Multi-agent safe decision-making.
Causal Learning to reduce sim-to-real gap.
AI Generalist for robotic tool use and manufacture.
"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
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