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Safe AI Lab

Research laboratory at Carnegie Mellon University

The Safe AI Lab at CMU aims to develop reliable, explainable, verifiable, and good-for-all artificial intelligent learning methods for robotics in the face of the uncertain, dynamic, time-varying, multiple agents, and possibly human-involved environment by bridging statistics and cybernetics. The lab is recognized nationally and internationally for its research on autonomous/connected vehicles and smart cities. The lab has worked with several companies, including Uber, Bosch, Denso, and Toyota, as well as the National Science Foundation, the Department of Transportation, the Department of Energy, and the City of Pittsburgh.

If you are interested in joining our lab, please fill in this form to apply. It requires your CV and a 3-slide PPT describing your previous research experience. For PhD application, we prefer students with publication experience. You can also directly send emails to dingzhao@cmu.edu, by attaching one of your best papers. Please DO NOT repeatedly send me emails. It may make your email blocked.

I usually recruit 2 to 3 new Ph.D. students each year. I have been recruiting students at multiple departments of CMU, including Mechanical Engineering Department, Computer Science Department, and the Robotic Institute.

Recent News

  • [05/02/22] I joined the Robotic Team at Google Brain as a Visiting Researcher. I am still a full time professor at CMU. I chose to work at Google because I want to achieve the real-world impact at Google Scale and meet interesting souls.
  • [01/22/22] I was selected as one of the MIT Technical Review 35 Innovators under 35 China 2021.
  • [11/03/21] Our autonomous delivery robots were featured on CMU Engineering. We gave a demo to a group of legislators including four senators.
  • [10/19/21] I got the Ford University Collaboration Research Award
  • [09/30/21] Our new course Trustworthy AI Autonomy was featured on the front page of CMU's weekly news digest - the Piper.
  • [08/15/21] We will work on this very exciting five-year 10M AI-enabled Brain-Machine Interface project.
  • [05/21/21] I got the Carnegie-Bosch Award
  • [04/22/21] We got the award from Rolls-Royce to work on cybersecurity of real-time systems.
  • [03/17/21] I got the National Science Foundation CAREER Award.
  • [02/01/21] We are organizing the "Security and Safety in Machine Learning Systems" workshop in ICLR 2021. Please submit your papers here and win the best paper award!
  • [12/01/20] I got the Struminger Teaching Award.

Featured Research

Certifiable Accelerated Evaluation

Rigorous evaluation of intelligent physical systems against long-tail failures

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Generating Safety-Critical Digital Twins

Use unsupervised learning, stochastic processing, and generative models to comprehend and generate naturalistic safety-critical environments

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Trustworthy AI Autonomy

Design trustworthy intelligent autonomy for real world applications.

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Autonomous Vehicle Platform

An open platform that facilitates development of Connected and Self-Driving Vehicles

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Autonomous Mobile Robot Platform

Applications: multi-robot coordination in warehouse environment; food delivery robot on sidewalks.

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Comprehend Human Being for Better Auto-Driving

Made by the people and for the people - drive harmoniously with human being

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Contact

The best form of contact, generally, is via email.

  • dingzhao@cmu.edu
  • 412-268-3348
  • 5000 Forbes Avenue
    Pittsburgh, PA 15213

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