Biomedical Sensing and Analysis

1. Restriction Synthesis and DNA Restriction Site Analysis Using Machine Learning.- 2.Human Detection and Biometric Authentication With Ambient Sensors.- 3. Generalization of Deep Acoustic and NLP Models for Large-Scale Depression Screening.- 4. TABS: Transformer Based Seizure Detection.- 5.Automated Pacing Artifact Removal from Electrocardiograms

Iyad Obeid, Ph.D., is an Associate Professor of Electrical and Computer Engineering at Temple University with a secondary appointment in the Department of Bioengineering. His research interests include neural signal processing, biomedical signal processing, and medical instrumentation. His research in these fields has been funded by NIH, NSF, DARPA, and the US Army. Together with Dr. Picone, he is the co-founder of the Neural Engineering Data Consortium, whose goal is to provide large, well-curated neural signal data to the biomedical research community. In addition to earlier work on brain-machine interfaces, Dr. Obeid's current research has expanded to include non-parametric unsupervised machine learning as well as concussion and injury assessment instrumentation built using commercial off the shelf Ph.D.sors.

 

Joseph Picone, Ph.D., is a Professor of Electrical and Computer Engineering at Temple University, where he directs theInstitute for Signal and Information Processing and is the Associate Director of the Neural Engineering Data Consortium. His primary expertise is in statistical modeling with applications in signal processing, specifically acoustic modeling in speech recognition. A common theme throughout his research career has been a focus on fundamentally new statistical modeling paradigms. He has been an active researcher in various aspects of speech processing for over 35 years. He currently collaborates with the Temple School of Medicine and has previously collaborated with many academic institutions (e.g., the Linguistic Data Consortium, Johns Hopkins), government agencies (e.g., Department of Defense, DARPA) and companies (e.g., MITRE, Texas Instruments). The National Science Foundation, DoD, DARPA, and several commercial interests have funded his research. He has published over 200 technical papers and holds 8 patents.

 

Ivan Selesnick, Ph.D., is