I design, develop, and deploy hybrid human-AI intelligent interactive systems to provide access to visual information in the real world. By combining the advantages of humans and AI, these systems can be nearly as robust and flexible as humans, and nearly as quick and low-cost as automated AI, enabling us to solve problems that are currently impossible with either alone.
Anhong Guo is an Assistant Professor in Computer Science & Engineering at the University of Michigan. Anhong completed his Ph.D. in the Human-Computer Interaction Institute, Carnegie Mellon University, advised by Dr. Jeffrey Bigham. He is also an inaugural Snap Inc. Research Fellow, a Swartz Innovation Fellow for Entrepreneurship, and a Forbes' 30 Under 30 Scientist. Anhong has published in many top academic conferences and journals on interface technologies, wearable computing, accessibility and computer vision. Before CMU, he received his Master’s in HCI from Georgia Tech, and Bachelor's in Electronic Information Engineering from BUPT. He has also worked in the Ability and Intelligent User Experiences groups in Microsoft Research, the HCI group of Snap Research, the Accessibility Engineering team at Google, and the Mobile Innovation Center of SAP America.