AI for Under-served Communities
The potential of Artificial Intelligence to tackle challenging problems that afflict society is enormous, particularly in healthcare. In the first part of my talk, I will describe my work on developing new influence maximization algorithms which can handle various uncertainties in social network structure, influence models, etc., that commonly exist in real-world social networks. In the second part of my talk, I will discuss the real-world deployment of my algorithms to spread awareness about HIV among homeless youth in Los Angeles. Finally, I will also talk about other kinds of societally relevant problems that I have worked on.
Amulya Yadav is an Assistant Professor in the College of Information Sciences and Technology at Penn State University. He also has an affiliate faculty appointment with the USC Center for Artificial Intelligence in Society. His work in the field of Artificial Intelligence for Social Good focuses on developing theoretically grounded approaches to real-world problems that can have an impact in the field. Amulya's work has been highlighted by Mashable.com as one of "26 incredible innovations that improved the world in 2015". Amulya holds a Ph.D. in Computer Science from the University of Southern California, and a Bachelors from IIT Patna.