School of Engineering
Showing 451-500 of 691 Results
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Anuoluwapo Ifeoluwapo Solola
Undergraduate, Mechanical Engineering
BioHello all! My name is Anu Solola and I am passionate about expressing my creativity through mechanical design. I have nurtured this passion through my involvement in various hands-on projects and research. Learn more about my projects and experience on my website at https://www.anusolola.com
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Josselin Somerville Roberts
Research Asst - Graduate, Program-Liang, P.
BioI am a current Master's student in Computer Science (AI Track) at Stanford University, where I am advised by Christopher Gregg. I graduated in 2022 from Ecole Polytechnique (France) where I obtained my Engineering degree (M.S. equivalent) in Computer Science and Applied Mathematics (Image, Vision, and Learning track). Before that, I followed the French CPGE system (PT) at Lycée Jean-Baptiste Say (France), where I graduated as valedictorian (2500 candidates) in 2019.
I currently work at the Stanford CRFM (Center for Research on Foundation Models on the HELM project under the supervision of Percy Liang. -
Shuran Song
Assistant Professor of Electrical Engineering and, by courtesy, of Computer Science
BioShuran Song is an Assistant Professor of Electrical Engineering at Stanford University. Before joining Stanford, she was 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/ -
Wanbin Song
Graduate, Stanford Center for Professional Development
BioWanbin Song is currently working as a machine learning researcher at The Boeing Company. Prior to Boeing, he had 8+ years of experience in a US-based software company focusing on AI-based consulting work. He holds BS and MS degrees in image processing and computer vision, and his primary research interests involve computer vision and machine learning.
