Joseph Picone (PD/PI) BS, MS, PhD
Dr. Joseph Picone provides the overall coordination of the project and is the contact PI. He currently directs the machine learning aspects of the project. Dr. Picone is a Professor of Electrical and Computer Engineering in the Temple University College of Engineering. He is also co-Director of the Neural Engineering Data Consortium. His expertise is in machine learning specifically in signal and image processing applications such as speech recognition.
Iyad Obeid (PD/PI) BS, MS, PhD
Dr. Iyad Obeid supervises the signal processing components of the EEG event detection project, annotation of the EEG event data, development and dissemination of the annotated version of the TUH EEG Corpus, and the assessment phases of the project. He is an Associate Professor of Electrical and Computer Engineering in the Temple University College of Engineering, and is jointly appointed to the Department of Bioengineering. He is also co-Director of the Neural Engineering Data Consortium. His expertise is in brain machine interfaces and provides extensive knowledge on EEG technology.
Sanda Harabagiu (PD/PI) BS, MS, PhD
Dr. Sanda Harabagiu is in charge of managing and leading in automating the recognition of critical clinical concepts of EEGs and the Automatic Patient Cohort Retrieval parts of the project. She is a Professor of University of Texas at Dallas Computer Science Department and the Erik Jonsson School Research Initiation Chair. Her research interests are in Natural Language Proessing, Information Retrieval, Knowledge Processing, Artificial Intelligence, and Medical Informatics.