I design, develop, and deploy hybrid human-AI interactive systems to provide access to visual information in the real world. I apply this approach to two application domains: accessibility and sensing. My other interests include interaction techniques, fabrication, and augmented reality.
Anhong Guo is a 5th year Ph.D. candidate in the Human-Computer Interaction Institute, Carnegie Mellon University, advised by Dr. Jeffrey Bigham. He is also a Snap Inc. Research Fellow, and a Swartz Innovation Fellow for Entrepreneurship. Anhong has published in many top academic conferences and journals on interface technologies, wearable computing, accessibility and computer vision, including two best paper nominees. 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.