Machine Learning Applications in Medicine and Biology

About

Ammar Ahmed Ph.D. received his Ph.D. degree from Temple University USA in 2021. He is a radar signal processing engineer at Aptiv Agoura Hills CA USA. From 2011 to 2016 Dr. Ahmed served as an electrical engineer for the National Tokamak Fusion Program where he was responsible for developing an embedded system design of spherical tokamaks. He also spent the summer of 2020 (May-August) as an intern at Qualcomm Technologies Inc. in San Diego CA. His research interests are signal processing data analysis optimization and radar systems. Joseph Picone Ph.D. received his Ph.D. in Electrical Engineering in 1983 from the Illinois Institute of Technology. He is a professor in the Department of Electrical and Computer Engineering at Temple University. He has spent significant portions of his career in academia (MS State) research (Texas Instruments AT&T) and the government (NSA). His primary research interests currently are applications of machine learning in the health sciences. Dr. Picones research funding sources over the years have included NSF NIH DoD and DARPA as well as the private sector. He has also been involved in several startup companies in healthcare. For over 40 years his research groups have been known for producing many innovative open-source materials for education and research including the first state of the art public domain speech recognition system and the TUH EEG Corpus which has over 8000 subscribers (see www.isip.piconepress.com). Dr. Picone is a Senior Member of the IEEE has published extensively in many signal processing-related fields and holds several patents in human language technology.