Talk: Dr. Mehdi Kiani "Wireless Hybrid Integrated Systems for Body-Machine Interface"
Short Speaker Bio: Dr. Kiani received his Ph.D. degree in Electrical and Computer Engineering from the Georgia Institute of Technology in 2014. He joined the faculty of the School of Electrical Engineering and Computer Science
at the Pennsylvania State University in August 2014 where he is currently an Associate Professor. His
research interests are in the multidisciplinary areas of analog, mixed-signal, and power-management
integrated circuits; ultrasound; magnetoelectric; and wireless power/data transfer and energy harvesting
for wireless implantable medical devices and neural interfaces.
Abstract: Significant progress has been made in the research and development of neurotechnologies to enhance our
understanding of the highly complex central and peripheral nervous systems (CNS and PNS) by enabling
the modulation and imaging of their activities. These technologies can eventually be utilized in
establishing body-machine interfaces (BMIs) with the CNS and PNS to offer effective, minimally
invasive, and long-term solutions for neurological disorders and chronic disabilities such as spinal cord
and brain injuries, stroke, Parkinson’s disease, epilepsy, rheumatoid arthritis, and diabetes, to name a few.
Despite remarkable advancements, achieving closed-loop BMIs with minimally invasive high-
spatiotemporal-resolution recording and stimulation across large-scale, distributed CNS/PNS circuits
remains a significant challenge. In this talk, I will present our recent innovations in wireless hybrid
(electrical-acoustic-magnetic) integrated systems designed to develop advanced minimally invasive BMIs
for modulating and sensing neural and electrophysiological activities with high spatiotemporal resolution
at large scale. These BMIs leverage cutting-edge integrated circuits, ultrasound, and wireless power/data
(with different modalities such as ultrasound and magnetoelectric) technologies.
