Maryam Ravan (Senior Member, IEEE) received the Ph.D. degree from the Amirkabir University of Technology, Tehran, Iran, in 2007. She was a Post-Doctoral Fellow with the Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada, McMaster University, Hamilton, ON, Canada, and Ryerson University, Toronto, from May 2007 to April 2013, where she was involved in solving forward modeling and inverse problems and the related signal/image processing techniques for biomedical, radar systems, microwave imaging, and non-destructive testing (NDT) applications. She was also a Lecturer at the School of Computational Engineering and Science, McMaster University, from 2009 to 2012. From May 2013 to August 2017, she was a Senior Research Scientist at LivaNova PLC, where her work focused on developing machine learning algorithms for investigating the efficacy of closed-loop Vagus nerve stimulation (VNS) therapy for epilepsy. She is currently an Assistant Professor with the Department of Electrical and Computer Engineering, New York Institute of Technology, New York, NY, USA. She has authored over 90 journals and conference papers, a book chapter, and a book. Her research has been supported by U.S. National Science Foundation, Collaborative Research Agreement Between McMaster University and the New York Institute of Technology, DND/NSERC Research Partnership Grant with Defense Research and Development Canada and Raytheon Canada Ltd., and MITACS Internship with St. Joseph’s Hospital, Hamilton. Her research interests include signal and image processing, beamforming, machine learning, microwave holography, wearable technology, space time adaptive processing, and nondestructive testing.