Ali Abedi


  • University of Waterloo, 2004, PhD in Electrical and Computer Engineering
  • Sharif University of Technology, 1998, MSc in Electrical Engineering
  • Sharif University of Technology, 1996, BS in Electrical Engineering

Brief Biography

Ali Abedi received his PhD in Electrical and Computer Engineering, from University of Waterloo in 2004. He joined the University of Maine, Orono in 2005, where he is currently Associate Vice President for Research and Professor of Electrical and Computer Engineering. He currently leads UMaine Artificial Intelligence and UMaine Space initiatives. He was visiting Associate Professor at the University of Maryland, College Park, MD and Guest Researcher at NIST in 2012 and Faculty Fellow at NASA in 2016. Dr. Abedi is founding Director of WiSe-Net Lab where he directs research programs wireless communications and sensor networks for structural monitoring, space explorations and bio-medical applications. Dr. Abedi is a senior member of IEEE and currently serves as Vice President of IEEE Council on Radio Frequency Identification (CRFID) and member of the Board of Directors for Maine Space Corporation.


  • S. Khosroazad, C. Gilbert, J. Aronis, K. Daigle, M. Esfahani, A. Almaghasilah, F. Ahmed, M. Elias, T. Meuser, L. Kaye, C. Singer, A. Abedi, M. J. Hayes, “Sleep Movements and Respiratory Coupling as a Biobehavioral Metric for Early Alzheimer’s Disease in Independently Dwelling Adults,” in BMC Geriatrics, Springer Nature, April 2023.
  • S. Khosroazad, A. Abedi and M. J. Hayes, “Sleep Signal Analysis for Early Detection of Alzheimer’s Disease and Related Dementia (ADRD),” in IEEE Journal of Biomedical and Health Informatics, Jan 2023.
  • M. Hayes, and A. Abedi, System and method for early detection of mild traumatic brain injury, US Patent US201061428295P , Provisional 2010, US20160183861A1, Published 2016, US10244977B2, Published 2019.
  • F. Schwaner, E. Mougharbel, A. Abedi, M. J. Hayes, “Self-Calibrated Wireless Sleep Sensing System for Brain Injury Diagnostics,” IET Wireless Sensors System, June 18-20, 2012, London, UK, 5 pages.
  • T. Falkner, A. Abedi, J. Paul, M. Hayes, “Improving The Signal To Noise Ratio Of Event-Related Eeg Signals In High Risk Newborns”, QBSC’10, May 2010, Kingston, Canada, pp. 28-31.