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Yuke Zhu is an Associate Professor in the Department of Computer Science at the University of Texas at Austin. He received his Ph.D. in Computer Science from Stanford University in 2019 and holds a Master's degree in Computer Science from Stanford University (2015) as well as dual Bachelor's degrees in Computer Science from Simon Fraser University and Zhejiang University (2013). His research focuses on the development of intelligent algorithms for robots and embodied agents to reason and interact with the real world. Zhu's work lies at the intersection of robotics, computer vision, and machine learning, aiming to enhance general-purpose robot autonomy in less-controlled environments. His doctoral thesis explored the closing of the perception-action loop to enhance robot intelligence and adaptability. He has collaborated with leading research institutions such as Snap Research, the Allen Institute for Artificial Intelligence, and DeepMind Technologies. Zhu’s research has been recognized with awards and nominations and has been featured in prominent media outlets like MIT Technology Review and Stanford News.
General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.