• Mission

• Build Trustworthy AI Generalist for Critical Applications at Scale.

  Director: Ding Zhao, Carnegie Mellon University.

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 Page.

• 24-784 Trustworthy AI

  Fundamental course in the CMU AI Engineering curriculum
  Focus on creating safe and generalizable AI.
  The most sought-after course in the program.
  Uses in autonomous vehicles, robotics, and medical diagnostics.

  Media Syllabus
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• 24-677 Modern Control for Robotics

  Essential course for robotics and control specialization
  Optimal, stochastic, and adaptive control based on models.
  Fundamental principles for robotics and reinforcement learning.
  Uses in autonomous vehicles and drones.

  Media Syllabus
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• 82-183 AI for Humanities

  A first-of-its-kind pioneering course
  Investigating the synergy between AI and the Arts/Humanities.
  Instructed by a diverse team of engineers, artists, and social scientists from four CMU colleges.
  Uses in movie production, evaluating AI-created art, and designing with a focus on human needs.

  Media Syllabus
  
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Faculty

Ding Zhao

Associate Professor and Dean's Early Career Fellow Professor

Mechanical Engineering Department | Computer Science Department

Robotics Institute | CyLab Security & Privacy Institute | Wilton E. Scott Institute for Energy Innovation

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

Current Members | Alumni

Xingyu Liu

Postdoctoral Research Associate

Embodied AI, Robotics, Computer Vision

Peide Huang

PhD Student

Environment Co-Evolving AI Generalists

Zhepeng Cen

PhD Student

Safe AI with Multi-Modal Input

Diana Gomez

PhD Student

Fairness of Multi-Modal AI Generalists

Haohong Lin

PhD Student

Causal Reasoning of Foundation Models

Yaru Niu

PhD Student

Robot learning, multi-agent system, reinforcement learning, AI safety

Miao Li

PhD Student

Gerative AI, Privacy-aware Learning

limiao@andrew.cmu.edu

Yihang Yao

PhD Student

Safe Reinforcement Learning, Robot Learning

yihangya@andrew.cmu.edu

Yuyou Zhang

PhD Student

Intelligent robots for acute care

yuyouz@andrew.cmu.edu

William Jongwon Han

PhD Student

Generative AI, digital twin of human

wjhan@andrew.cmu.edu

Changyi Lin

PhD Student

Physical AI for critical applications

changyil@andrew.cmu.edu

Yihan He

Master Student

Motion planning, Trajectory prediction

yihanhe@andrew.cmu.edu

Sameer Bharadwaj

Master Student

AI for healthcare

sameerjb@andrew.cmu.edu

Azmat Hassan

Master Student

Autonomous vehicle, ventures capital

hazmat@andrew.cmu.edu

Doctors of Philosophy

Mansur Arief

Postdoc at Stanford with Mykel Kochenderfer

Certifiable Evaluation for Safe Intelligent Autonomy

Jiacheng Zhu

Postdoc at MIT with Justin Solomon

Generalizable Machine Learning on Heterogeneous Domains

Zuxin Liu

Research Scientist at Salesforce AI Research

Towards Deployable Reinforcement Learning: Safety, Robustness, Adaptivity, and Scalability

Wenhao Ding

Research Scientist at NVidia Research

Generative AI for Critical Digital Twins

Mengdi Xu

Postdoc at Stanford with Feifei Li and Jiajun Wu

Assistant Professor at Tsinghua University (expected to start in 2025)

Building Adaptable Generalist Robots

K12 students

• Shang Wang → undergraduate, Harvard University

Undergraduates

• Akhil Agnihotri → PhD student, University of Southern California
• Beverley-Claire Okogwu → MS, Carnegi Mellon University
• Keegan Harris → PhD student Carnegie Mellon University
• Chaojian Li → PhD student, Rice University
• Eric Ma → PhD student, Georgia Institute of Technology
• Zhaobin Mo → PhD student, Columbia University
• Xinpeng Wang → PhD student, University of Michigan
• Sean Birke → Amazon
• Krishna Dave → Apple

Master students

• Macheng Shen → PhD student, MIT
• Huajing Zhao → PhD student, UCLA
• Yaohui Guo → PhD student, University of Michigan
• Zhaolun Su → Waymo
• Xiaoshu Liu → Nvidia
• Shenyu Mou → Apple
• Hanqing Liu → Waymo
• Zifeng Peng → General Motors
• Peiyan Gong → Toyota Research Institute
• Ted Xiao → Ford
• Xinzhi Fan → Embark
• Ashish Sajwan → Aptiv
• Sisi Li → WeRide.ai
• Weilun Peng → Pony.ai
• Aditya Ramesh → Cisco
• Yao (Melody) Zhao → VMWare
• Liliang Wang → PhD student, University of Michigan
• Rui Chen → PhD student, Carnegie Mellon University
• Shiqi Liu → PhD student, Carnegie Mellon University
• Chen Zhang → PhD Student, Princeton University
• Vinay Varma Kalidindi → Volvo (Zenuity)
• Manoj Bhat → Qualcomm
• Ashish Roongta → MathWorks
• Boxian Deng → Facebook
• Zi Li → Plus.AI, Inc.
• Minjun Xu → Akuna Capital
• Jiayi Wang → Amazon
• Yidong He → NVIDIA
• Guilin Zhang → Google
• Hongyi Zhou → DeepRoute
• Haoliang Jiang → ANSYS
• Congtao Kuang → Google
• Yugant Rana → Google
• Jiayi Xia → Zoox
• Kartik Sah → Zoox

Postdocs and Research Fellows

• Yan Chang → Principal Software Engineer, NVIDIA
• Mengdi Xu → Assistant Professor, IIIS, Tsinghua University
• Zhiyuan Huang → Assistant Professor, Management Science and Engineering, Tongji University
• Junjie Chen → , Associate Professor, Beijing Jiaotong University
• Xun Gong → Associate Professor, School of Artificial Intelligence, Jilin University
• Wenshuo Wang → Professor, Mechanical Engineering, Beijing Institute of Technology

• Media

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

  • Talk
  • AI for Humanities
  • Lab Intro
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• [10/25/23] I am honored to serve as the General Chair of the IEEE International Automated Vehicle Validation Conference 2024. See you in Pittsburgh.
• [09/20/23] I am honored to be the Dean’s Early Career Fellow of 2023.
• [09/20/22] I am the keynote speaker for the 1st International Workshop on Safe Reinforcement Learning Theory and its Applications.
• [08/31/22] I served as the co-chair for the Global Young Scientist Forum - AI and Intelligent Safety.
• [08/30/22] Congrats Wenhao Ding and Jiacheng Zhu for winning the prestigious Qualcomm Innovation Fellowships (North America).
• [07/26/22] I received the George Tallman Ladd Research Award. The award is made to a faculty member within the College of Engineering at CMU in recognition of outstanding research and professional accomplishments and potential.
• [07/22/22] Our paper about robustness in safe RL won the best paper runner-up in the SL4AD Workshop at ICML 2022.
• [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.

• Opportunities

  Positions are available for postdocs, PhDs, CMU master and undergraduates, and visiting students.

  Our PhD students play an active role in recruiting new members. Feel free to contact the member to whom you believe you would be a valuable collaborator.

  Apply