Xiang “Anthony” Chen, an assistant professor of electrical and computer engineering at UCLA Samueli School of Engineering, received a Google Research Scholar Program Award for his research on human-computer interaction.
The award, which supports world-class research conducted by early-career professors, includes prizes of up to $ 60,000 to support Chen’s research into acquiring human knowledge to enhance artificial intelligence training.
A leader at UCLA’s Human Computer Interaction Research team, Chen focuses on building interactive intelligent systems so that people can more easily share information. He aims to train AI systems to learn high-level knowledge by observing human experts performing a variety of tasks, such as examining tissue slides for evidence of tumors. Instead of giving AI slides marked “tumor” or “no tumor” in the way that much of today’s machine learning is done, Chen’s research will allow AI to track how an experienced pathologist will biopsy slides and relay details, including their eye movements and how they pan or zoom the slide. AI can analyze slides using a self -trained “eye.”
Chen received numerous awards for researchers early in their careers. He also received one 2021 National Science Foundation CAREER Award, a 2021 Office of Naval Research’s Young Investigator Award and a 2020 Hellman Fellowship.
Natalie Weber contributed to this story.