The 20th Annual Goldstick Family Lecture in the Study of Communication Disorders

Name: The 20th Annual Goldstick Family Lecture in the Study of Communication Disorders
Start: 2024-10-17T16:00:00-05:00
End: 2024-10-17T18:00:00-05:00
Location: I Hotel and Illinois Conference Center

Schedule

Thu Oct 17 2024 at 04:00 pm to 06:00 pm

UTC-05:00

Location

I Hotel and Illinois Conference Center | Champaign, IL

The annual Goldstick Lecture will be held on Thursday, October 17, 2024, at 4 p.m. in the Chancellor's Ballroom at the I Hotel and Conference Center in Champaign. This year's lecture will be delivered by Dr. James M. Rehg, founder professor of Computer Science and Industrial and Enterprise Systems Engineering at Illinois and director of the Health Care Engineering Systems Center.
Registration is not required to attend. A reception will follow the lecture.
Leveraging AI to Measure and Model Social Behavior
Beginning in infancy, individuals acquire the social and communication skills that are vital for a healthy and productive life. Children with autism face great challenges in acquiring these skills, resulting in substantial lifetime risks. As the neural basis for ASD is unclear, the diagnosis, treatment, and study of autism depends fundamentally on the analysis of child behavior. Standard methods for behavioral observation and coding are the backbone of research studies but are inherently coarse-grained and not easily scalable. As the 2024 Goldstick lecturer, Rehg will discuss his work with AI models and computer vision technology that automate the measurement of social behavior from video to better study, diagnose, and treat autism and other developmental conditions.
About the Speaker
Professor Jim Rehg serves as director of the Health Care Engineering Systems Center at the University of Illinois. His research interests include computer vision, machine learning, and mobile and computational health. Rehg was the lead principal investigator on an NSF Expedition in Computing award to develop the science and technology of behavioral imaging, which is the measurement and analysis of social and communicative behavior using multi-modal sensing, with applications to developmental conditions such as autism.