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Ali Abedi
Also published under:A. Abedi
Affiliation
Department of Electrical and Computer Engineering, Wireless Sensor Networks (WiSe-Net) Laboratory, University of Maine, Orono, ME, USA
Topic
Electric Power System,Empirical Model,Onboard Computer,Raspberry Pi,Advanced Signal Processing,Agent Communication,Algal Blooms,Alignment Issues,Alzheimer’s Disease,Amateur Radio,And Related Dementias,Applied Bias Voltage,Area Of Layer,Atomic Force Microscopy,Avalanche Photodiode,Average Week,Base Station,Belief State,Bias Voltage,Brownian Motion,Bulk Nanobubbles,Canopy Layer,Cell Coverage,Changes In Frequency,Changes In Respiration,Coefficient Vector,Commercial Off-the-shelf,Communication Protocol,Conditional Distribution,Constant Resistance,Constant Value,Controller Area Network,Cost Function,Coverage Patterns,Cross-validation Method,Current Devices,Current Traces,Data Fusion,Detection Of Alzheimer,Detection Of Mild Cognitive Impairment,Development Of Diagnostic Methods,Device Temperature,Diagnosis Of Mild Cognitive Impairment,Diameter At Breast Height,Dipole Antenna,Distinct Criteria,Dynamic Light Scattering,Early Mild Cognitive Impairment,Earth’s Magnetosphere,Electric Power,
Biography
Ali Abedi received his B.Sc and M.Sc degrees in Electrical Engineering from Sharif University of Technology, and his Ph.D in Electrical and Computer Engineering from University of Waterloo in 1996, 1998, and 2004, respectively. He joined University of Maine in 2005, where he is currently Associate Professor of Electrical and Computer Engineering and Director of WiSe-Net Lab. Prior to joining the University of Maine, he was a Lecturer at Queens University, and University of Waterloo. Dr. Abedi held Visiting Associate Professor position at the University of Maryland, College Park in 2012 and affiliate faculty position at Maine Institute for Human Genetics and Health from 2010–11. Dr. Abedi has authored two books and over 60 research articles in Wireless Communications field. Highlights of his research include analytical performance evaluation of block codes, new methods for performance and convergence analysis of Turbo-codes, and applications of error correction codes in wireless sensor networks for structural monitoring, space explorations and biomedical engineering. His research on wireless sensing of lunar habitat was featured on NSF Science360 website in 2012. Dr. Abedi is a Senior Member of IEEE and Candidate for IEEE Board of Directors in 2013 elections.