Jingyu Song
Jingyu Song | 宋靖宇 - PhD Candidate @ U-M Robotics
Monterey Bay, CA, 2024.05
I am a third year PhD candidate at the University of Michigan Robotics Department, working with Prof. Katie Skinner at the Field Robotics Group and the Ford Center for Autonomous Vehicle. Before that, I graduated from the University of Michigan with an M.S. in Electrical and Computer Engineering in 2022, where I worked with Prof. Maani Ghaffari. I obtained my B.E. in Electronics and Electrical Engineering jointly from the University of Electronic Science and Technology of China and the University of Glasgow in 2020.
I was honored to receive the Rackham Predoctoral Fellowship in 2025 and be named a Qualcomm Innovation Fellowship (QIF) Finalist in 2024. I was a research intern at NVIDIA in 2024, a research intern at Bosch Corporate Research in 2020, and an undergraduate research intern at Intel in 2018.
I am interested in the intersection of robotics, computer vision, and deep learning, with a focus on multi-modal perception, state estimation and mapping for 3D scene understanding. I am also interested in the application of these technologies in autonomous driving and field robotics.
news
| Mar 24, 2025 | I will return to NVIDIA and join the Autonomous Vehicles Applied Research Group led by Dr. Jose M. Alvarez as a research intern in summer 2025! 🚗🤖 |
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| Mar 10, 2025 | I was selected to receive the Rackham Predoctoral Fellowship! 🎉 |
| Mar 05, 2025 | Check our latest work OceanSim: A GPU-Accelerated Underwater Robot Perception Simulation Framework! |
| Feb 28, 2025 | I gave a keynote presentation at the 3rd Workshop on Maritime Computer Vision (MaCVi) at WACV 2025 on Scalable Underwater Perception: Building the Foundations for Embodied Marine Autonomy. Check the recording here! |
| Oct 28, 2024 | Our paper MemFusionMap is accepted at WACV 2025! 🎉 |
| Oct 14, 2024 | We present our work 🐢 TURTLMap at IROS 2024! Check our LinkedIn Post! |