Fangqiang Ding

Postdoctoral Associate @ Massachusetts Institute of Technology
Incoming Tenure-Track Assistant Professor @ ROAS Thrust, HKUST (GZ)

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about me

I am a Postdoctoral Associate at MIT, working with Dr. Hermano Igo Krebs, director of The 77 Lab. I will join HKUST (GZ) this summer as an Assistant Professor. I was honored to be awarded a 2025 RSS Pioneer for my work on robust spatial perception for robotics. Before MIT, I received a Postdoctoral Fellowship from and worked at Technion. I received my Ph.D. in Robotics and Autonomous Systems from The University of Edinburgh, and my B.Eng. in Mechanical Engineering from Tongji University.

🎯 My research agenda centers on Physical AI, which integrates advanced artificial intelligence with physical systems (e.g., self-driving cars, robots, wearables, industrial and IoT devices) to enable them to perceive, reason, and interact with the physical world. My long-term vision is a human-machine symbiotic ecosystem where human and embodied intelligence coexist, collaborate and co-evolve.

🚀 Achieving this vision requires systems that are not only increasingly capable, but also trustworthy and scalable in the real world. Trustworthy systems operate safely, reliably, and robustly across diverse environments and tasks, while protecting human privacy. Scalable systems should be developed and deployed at scale in a cost-effective way through affordable sensing, computation and data pipelines. My research aims to address the real-world challenges that hinder the trustworthy and scalable Physical AI.

🤝 If you would like to explore collaboration opportunities, please feel free to reach out via email. I am also actively recruiting motivated PhD, MPhil students, RAs, and interns for my group at HKUST (GZ) — see the group page for details. Email · Google Scholar

news

Feb 21, 2026 🎉 Two papers (M4Human, PALM) accepted to CVPR-2026. See you in Denver CO.
Oct 01, 2025 đź“– Started to work as a Postdoctoral Associate at MIT. Look for more collabrations.
May 13, 2025 🎓 Successfully pass my PhD thesis viva. Many thanks to the committee and collaborators. Finally become Dr. Ding!
Apr 21, 2025 🤖 Selected as an RSS Pioneers 2025 (competitive early-career recognition from the robotics community). See you in Los Angeles, USA.
Feb 24, 2025 🎉 One paper accepted to ACM SenSys’25. See you in Irvine, USA.
Jan 27, 2025 đź“– Accept to serve as Associate Editor for IROS-2025. Look forward to contribute.

selected publications

  1. CVPR’26
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    M4Human: A Large-Scale Multimodal mmWave Radar Benchmark for Human Mesh Reconstruction
    Junqiao Fan, Yunjiao Zhou, Yizhuo Yang, and 6 more authors

    † Corresponding author

    In IEEE Conference on Computer Vision and Pattern Recognition, 2026
  2. Sensys’25
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    ThermoHands: A Benchmark for 3D Hand Pose Estimation from Egocentric Thermal Image
    Fangqiang Ding, Yunzhou Zhu, Xiangyu Wen, and 2 more authors
    In ACM Conference on Embedded Networked Sensor Systems, 2025
  3. NeurIPS’24
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    RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar
    Fangqiang Ding, Xiangyu Wen, Yunzhou Zhu, and 2 more authors
    In Advances in Neural Information Processing Systems, 2024
  4. ECCV’24
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    milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing
    Fangqiang Ding, Zhen Luo, Peijun Zhao, and 1 more author
    In European Conference on Computer Vision, 2024
  5. CVPR’23
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    Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision
    Fangqiang Ding, Andras Palffy, Dariu M. Gavrila, and 1 more author
    In IEEE Conference on Computer Vision and Pattern Recognition, 2023
    Selected as Highlight (top 10%)