Lab Members

Faculty

Ding Zhao

Assistant Professor, Mechanical Engineering | Computer Science Department | Robotics Institute | Machine Learning Department | Wilton E. Scott Institute for Energy Innovation

Ding Zhao is an Assistant Professor in the Department of Mechanical Engineering. He is also associated with the Computer Science Department, Robotics Institute, CyLab Security & Privacy Institute, and Scott Institute for Energy Innovation. He is a visiting researcher at Google Brain/Robotics. Leading the CMU Safe AI Laboratory, Zhao aims to create trustworthy AI that is robust, safe, generalizable as well as explainable, verifiable, and human-centric. His long-term goal is to develop fundamental theories and practical technologies to safely deploy AI to address some of the world's most pressing problems.

Zhao is recognized nationally and internationally for his research in trustworthy AI, with applications on intelligent autonomy and healthcare. He is the recipient of the National Science Foundation CAREER Award, George Tallman Ladd Research Award, MIT Technology Review 35 under 35 China Award, Ford University Collaboration Award, Carnegie-Bosch Research Award, Struminger Teaching Award, and industrial fellowship awards from Adobe, Bosch, and Toyota. He worked with leading industrial partners, including Google Brain, Amazon, Ford, Uber, IBM, Adobe, Bosch, Toyota, and Rolls-Royce.

Professor Zhao got his PhD from the University of Michigan, Ann Arbor, advised by Professor Huei Peng.

Current Members

Mansur Arief

PhD student

Research interests: Rare event simulation, statistical machine learning, autonomous vehicles, transportation systems

Email: marief@andrew.cmu.edu

Jiacheng Zhu

PhD student

Research interests: Probabilistic graphical models, representation learning, Robotics

Email: jiachzhu@umich.edu

Mengdi Xu

PhD student

Research interests: Robotics, artificial intelligence, cognitive science

Email: mengdixu@andrew.cmu.edu

Wenhao Ding

PhD student

Research interests: , Controllable generative models, adversarial robustness, causal reinforcement learning

Email: wenhaod@andrew.cmu.edu

Zuxin Liu

PhD student

Research interests: Robotics, robot learning, reinforcement learning, AI safety

Email: zuxinl@andrew.cmu.edu

Peide Huang

PhD student

Research interests: Multi-agent system, AI safety, robotics learning

Email: peideh@andrew.cmu.edu

Jielin Qiu

PhD student

Research interests: Multimodal Machine Learning, Embodied AI, Computer Vision, Robotics, Language Grounding, Healthcare

Email: jielinq@andrew.cmu.edu

Zhepeng Cen

PhD student

Research interests: AI safety, reinforcement learning, neural processes

Email: zcen@andrew.cmu.edu

Hanjiang Hu

PhD student

Research interests: Robust perception, multi-agent system, AI safety

Email: hanjianghu@cmu.edu

Haohong Lin

PhD student

Research interests: Knowledge-guided generation, generalizable RL

Email: haohongl@andrew.cmu.edu

Diana Gomez

PhD student

Research interests: Decision making, autonomous vehicles

Yaru Niu

PhD student

Research interests: Robot learning, multi-agent system, reinforcement learning, AI safety

Email: yarun@andrew.cmu.edu

Miao Li

PhD student

Research interests: Transportation

Email: limiao@andrew.cmu.edu

Yihang Yao

PhD student

Research interests: Reinforcement Learning, Curriculum Learning

Email: yihangya@andrew.cmu.edu

Yuyou Zhang

PhD student

Research interests: Robotics, Healthcare

Email: yuyouz@andrew.cmu.edu

Jinchi Zhang

Master student

Research interests: Multi sensor perception fusion

Hassan Azmat

Master's student

Research interests: Autonomous vehicle ventures

Zijian Guo

Master student

Research interests: Motion planning, SLAM, reinforcement learning

Yihan He

Master student

Research interests: Motion planning, Trajectory prediction

Email: yihanhe@andrew.cmu.edu

Sameer Bharadwaj

Master student

Research interests: Perception

Past Members

My goal in the next 10 years is to cultivate 10 professors in my lab, train 100 engineers and leaders with real world projects, and educate 1000 students in the classroom, in the direction of AI-enabled robotics.

High school summer visitors

  • Shang Wang, undergraduate, Harvard University

Undergraduate summer visitors

  • Akhil Agnihotri, PhD student, University of Southern California
  • Beverley-Claire Okogwu, Oracle
  • Keegan Harris PhD student, Carnegie Mellon University
  • Chaojian Li, PhD student, Rice University
  • Yingchen Ma, Undergraduate student, University of Michigan
  • Zhaobin Mo, PhD student, Columbia University
  • Xinpeng Wang, PhD student, University of Michigan

Masters

  • 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, GumGum
  • Yao (Melody) Zhao, VMWare
  • Liliang Wang, PhD student, University of Michigan
  • Rui Chen, PhD student, Carnegie Mellon University
  • Vinay Varma Kalidindi, Volvo (Zenuity)
  • Manoj Bhat, Qualcomm
  • Ashish Roongta, MathWorks
  • Boxian Deng, Facebook
  • Krishna Dave, Apple
  • Zi Li, Plus.AI, Inc.
  • Minjun Xu, Akuna Capital
  • Jiayi Wang, Amazon
  • Yidong He, Cepton
  • Guilin Zhang, Google
  • Hongyi Zhou, DeepRoute
  • Haoliang Jiang, ANSYS
  • Congtao Kuang, Google
  • Yugant Rana, Google
  • Jiayi Xia, Zoox
  • Kartik Sah, Zoox

Postdoc

  • Wenshuo Wang, Postdoctoral Research Fellow, University of California, Berkeley
  • Yan Chang, Lyft
  • Xun Gong, Assistant Prof, School of Artificial Intelligence, Jilin University
  • Zhiyuan Huang, Assistant Prof, Tongji University

Long-term visitors

  • Junjie Chen, Assistant Prof, Beijing Jiaotong University
  • Hasan Arief, PhD student, NMBU Norway
  • Runzhong Zhang, Master student, Columbia University
  • Baimig Chen, PhD, Tsinghua University
  • Zhong Cao, Postdoc, Tsinghua University