Before joining New York Institute of Technology, Maryam Ravan was a senior research scientist in the Department of Research and Development at LivaNova PLC, where her work focused on developing quantitative biomarkers and machine learning algorithms for investigating the efficacy of closed-loop Vagus nerve stimulation (VNS) therapy for epilepsy. She received a Ph.D. degree in electrical engineering from Amirkabir University of Technology (Tehran Polytechnic). She was a post-doctoral fellow with University of Toronto, McMaster University, and Ryerson University, where she was involved in solving forward modeling and inverse problems and the related signal/image processing techniques for biomedical, radar systems, and non-destructive testing (NDT) applications and a lecturer in the School of Computational Engineering & Science, McMaster University. She has authored/co-authored over 50 journal and conference papers, and a book chapter. Her research interests include biomedical signal and image processing, statistical analysis, machine learning, microwave holography, radar systems and space time adaptive beamforming, and nondestructive testing. She was a recipient of DND/NSERC Research Partnership Grant with Defense Research and Development Canada (DRDC) and Raytheon Canada Ltd, MITACS Internship with St. Joseph's Hospital, Hamilton, Canada, and NSERC Engage Grant with Raytheon Canada Ltd. She has also authored a paper selected among the journal of Inverse Problems “Highlights Collection of 2010”. She is a senior member of IEEE.
Honors and Awards
- Author for a paper selected as “Highlights Collection of 2010” in Journal of Inverse Problems.
- NSERC Engage Grant with Raytheon Canada Ltd, Waterloo, Canada (2010).
- MITACS Internship with St. Joseph's Hospital, Hamilton, Canada (2011).
- DND/NSERC Research Partnership Grant with DRDC Canada, Ottawa, Canada and Raytheon Canada Ltd., Waterloo, Canada (2012).
- Elevated to senior member of IEEE (2012).
- Biography included in Marquis Who's Who in the World 2013; 30th Edition.
- Electromagnetic Theory EENG 670
- Senior Design