Build Trustworthy AI Generalists for Critical Applications at Scale

Hero Image
Blog Image
Blog Image
Blog Image
Blog Image
What is Safe AI Lab?
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.
Overview
01
Lab Director
Arrow
Join Safe AI Lab
02
Careers
Arrow
Get in Touch
03
Contact Us
Arrow

Research Projects

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.

Education

"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.

Media


"Our work has garnered attention from media outlets such as the New York Times, Forbes, TIME, Telegraph, and Wired."


Academic Talk

Trustworthy AI: develop reliable, explainable, verifiable, and good-for-all artificial intelligent learning methods.
Watch Video
Project Image

Lab Intro

We work on self-driving cars, sustainable grids, healthcare companion robots, manufacturing, and elder/child care.
Watch Video
Project Image
Media Mentions

Safe AI for safe streets for all

Ding Zhao is teaming up with the City of Pittsburgh to improve road safety and eliminate traffic fatalities using AI.
Ding Zhao
Director

Safe AI for safe streets for all

Ding Zhao is teaming up with the City of Pittsburgh to improve road safety and eliminate traffic fatalities using AI.
Ding Zhao
Director

Safe AI for safe streets for all

Ding Zhao is teaming up with the City of Pittsburgh to improve road safety and eliminate traffic fatalities using AI.
Ding Zhao
Director

Safe AI for safe streets for all

Ding Zhao is teaming up with the City of Pittsburgh to improve road safety and eliminate traffic fatalities using AI.
Ding Zhao
Director

Safe AI for safe streets for all

Ding Zhao is teaming up with the City of Pittsburgh to improve road safety and eliminate traffic fatalities using AI.
Ding Zhao
Director

Safe AI for safe streets for all

Ding Zhao is teaming up with the City of Pittsburgh to improve road safety and eliminate traffic fatalities using AI.
Ding Zhao
Director
More News
Email Id copied to clipboard

Members

Ding Zhao |   Linkedin    Website
Director

Education Accelerated Evaluation of Automated Vehicles , University of Michigan, advised by Huei Peng


Education 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

Current Members
Alumni

Contact us

email address
dingzhao@cmu.edu
address
B10 Scaife Hall
4805 Frew St
Pittsburgh, PA 15213
United States of America
Have questions?

Please email me to request an appointment.