2025 IEEE RAS Early Academic Career Award in Robotics and Automation
Shuran Song Stanford University United States of America For contributions to scalable robot learning and their real-world applications. Shuran Song is an Assistant Professor at Stanford University. Before joining Stanford University, she was a faculty at Columbia University. Shuran received her Ph.D. in Computer Science at Princeton University, BEng. at HKUST. Her research interests lie at the intersection of computer vision and robotics. Song’s research has been recognized through several awards, including the Best Paper Awards at RSS’22 and T-RO’20, Best System Paper Awards at CoRL’21, RSS’19, and finalists at RSS, ICRA, CVPR, and IROS. She is also a recipient of the NSF Career Award, Sloan Foundation fellowship as well as research awards from Microsoft, Toyota Research, Google, Amazon, and JP Morgan. To learn more about Shuran’s work, please visit: https://shurans.github.io/
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