Slides: AI-DTx Nov ’24 talk by Prof. Vir V. Phoha Slides

Video: https://www.youtube.com/watch?v=VE6NSrEfGyk

Speaker: Prof. Vir Phoha, EE & CS, Syracuse University

Meeting Date: Monday, November 11, 2024
Time: Checkin via Zoom for presentation at 5:00 (PST)
Cost: none
Reservations: events.vtools.ieee.org/m/438778
Summary: Neurological disorders are a leading cause of disability and death worldwide. Early detection and efficient management of these disorders can provide significant health benefits. By providing real-time data-driven insights, AI-driven methods meet an urgent need for early detection and management of these disorders.
In this talk, Prof. Phoha will present the potential of AI-driven early diagnosis and Digital Therapeutics (DTx) for neurological disorders. Using the unique properties of data generated through neurological anomalies and disorders, one can use AI methods such as transfer learning from existing knowledge; one-shot and few-shot learning for spiking and sparse data, and hidden Markov models to find underlying relationships and causes of malignant neurological disorders. The speaker will show how the generated data can be captured through smart wearables and phones, how uncovering relationships provides insights for digital rehabilitation, and how using augmented reality and virtual reality provides tremendous potential for cognitive therapy, psychiatric assessments, and rehabilitation. Prof. Phoha will outline a proof-of-concept smart diagnostics-enabled mirror and discuss security issues in smart diagnostics.

Moderator: Dr. Vishnu S. Pendyala of San Jose State University (CS Chapter Chair)

Bio: Vir V. Phoha is currently a tenured full Professor of Electrical Engineering and Computer Science in the College of Engineering and Computer Science at Syracuse University, New York. His research interests include machine learning, nonlinear prediction, hidden pattern detection and correlation, and knowledge discovery and analysis. Professor Phoha has supervised 20 PhD students and 65 MS students. Professor Phoha is a Fellow of AAAS; AAIA; IEEE; NAI; and SDPS. He is an ACM Distinguished Scientist. He has won many research awards including the 2017 IEEE Region 1 Technical Innovation Award for contributions to Behavioral Biometrics.