Abstract: The demand for intelligent visual computing applications such as Augmented/Virtual Reality, autonomous machines, and biomedical imaging shows no sign of slowing down. In this talk, I will break away from the conventional vertical, cross-layer approach in computer systems, and discuss how a horizontal approach spanning different forms of information-processing computing architecture such as optics, image sensors, and human visual systems is critical to the next decade of visual computing.
Bio: Yuhao Zhu is an Assistant Professor of Computer Science at the University of Rochester. His research group focuses on applications, algorithms, and systems for visual computing. His work is recognized by the Honorable Mention of the 2018 ACM SIGARCH/IEEE-CS TCCA Outstanding Dissertation Award, multiple IEEE Micro Top Picks designations, and multiple best paper awards/nominations in computer architecture, Virtual Reality, and visualization. More about his research can be found at: http://horizon-lab.org/.