To design a better AI, we should still learn from brains.

Education Profile

  • M.Sc., Electrical Engineering and Information Technology, Gottfried Wilhelm Leibniz Universität Hannover, Germany, 2019
  • B.E., Mechatronics, Tongji University, China, 2016

Location

Bldg 1, Level 4, 4335-WS08

Deyao Zhu is a Computer Science Ph.D. student at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Mohamed Elhoseiny in the Vision-CAIR Group. 

Education and Early Career

Deyao obtained his Master's degree in Electrical Engineering and Information Technology at Gottfried Wilhelm Leibniz Universität Hannover, Germany. His Master thesis is done in Max Planck Institute for Intelligent Systems which focuses on representation learning. Before that, he received his Bachelor’s degree in Mechatronics at Tongji University, China

Research Interest

He is interested in research that makes AI accumulate knowledge continuously to become smarter and smarter in reinforcement learning setups like video games, robotics, and autonomous driving.