Session 6

AI Meets Neuromodulation: The Next Frontier in Brain-Technology Integration

Friday, May 2nd from 3:00p - 4:30p

Session Chair

Dora Hermes, PhD

Associate Professor of Biomedical Engineering, Mayo Clinic

"Next-Generation Devices for Neuromodulation"

Gregory Worrell, MD, PhD

Professor of Neurology & Physiology Biomedical Engineering, Mayo Clinic

Gregory Worrell, MD, PhD is the William L. McKnight 3M Professor of Neuroscience at Mayo Clinic. His research is focused on the application of neurophysiology, engineering, and devices for epilepsy and is closely aligned with his clinical epilepsy practice. His team is developing next-generation devices designed to integrate brain sensing, electrical stimulation, and distributed computing for seizure forecasting and adaptive therapy to prevent seizures and epilepsy related co-morbidities.

"Tracking the Invisible: Leveraging AI for Biomarker Discovery in DBS for Depression"

Sankaraleengam Alagapan, PhD

Research Scientist, Electrical and Computer Engineering, Georgia Institute of Technology

Sankar Alagapan is a research faculty member in the School of Electrical and Computer Engineering at the Georgia Institute of Technology, where he co-directs the Structured Information for Precision Neuroengineering Lab (SIPLab). He earned his Ph.D. in Biomedical Engineering from the University of Florida and completed postdoctoral training in Human Neuroscience at both UNC Chapel Hill and Georgia Tech.

His research focuses on advancing clinical neuroengineering by integrating brain stimulation and data science, with a particular emphasis on understanding brain dynamics in neurological and psychiatric disorders. His current projects include exploring neural dynamics and brain-body interactions during effort-based decision-making under physiologically demanding conditions, as well as improving the scalability of subcallosal cingulate deep brain stimulation (DBS) for treatment-resistant depression.

"Neural Resonance in the Epileptic Brain"

Rachel June Smith, PhD

Assistant Professor, Electrical and Computer Engineering, University of Alabama at Birmingham

Rachel June Smith is an Assistant Professor in the Electrical and Computer Engineering Department at the University of Alabama at Birmingham. She received her B.S. in Biomedical Engineering from the University of Tennessee, Knoxville, in 2014 and her M.S. and Ph.D. from the University of California Irvine in Biomedical Engineering in 2019. Her work has focused on the treatment of focal epilepsy where she uses dynamical systems and control theory techniques to localize the onset of seizures in the epileptic brain and investigates how electrical stimulation may be used to improve therapeutic outcomes. Rachel has been recently funded by the American Epilepsy Society, the CURE Epilepsy Foundation, Oak Ridge Associated Universities, and the Brain & Behavior Research Foundation for her work.

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