Signal Processing and Machine Learning with Applications in Biomedical Engineering and Microwave Imaging/Sensing

Dr Ravan Seminar
Monday, July 12, 2021
Zoom Meeting


Nowadays signal processing and machine learning algorithms (MLAs) are used in a
wide variety of applications, such as biomedical engineering, wireless communication, web
search, finance, imaging techniques, and computer vision, where it is difficult or infeasible to
develop conventional algorithms to perform the needed tasks. In this talk, Dr. Ravan will present
her works on the following two applications: 
Biomedical Engineering: Mental and neurological disorders including diseases such as
schizophrenia, major depressive disorder (MDD), and epilepsy are among the conditions
affecting the brain that afflict millions of people worldwide. Advances in signal processing
coupled with the introduction of MLAs offer the investigator unprecedented capacity to extract
meaningful information from very complex datasets such as the electroencephalogram (EEG)
signal. In this talk, Dr. Ravan will present her works on using MLAs to predict response to
treatment and also investigating the efficacy of treatments for patients with epilepsy and
Microwave/Millimeter-Wave Imaging and Sensing: Microwave/millimeter-wave imaging
and sensing have been used in many applications due to the penetration of the relatively long
wavelength of microwave and millimeter waves inside many optically opaque materials and its
low-cost integrated system for laboratory-on-a-board applications. They can be used for
concealed weapon detection, nondestructive testing, biomedical imaging, water pollutants
detections and evaluations, and so on. In this talk, Dr. Ravan will present her works on
developing a new microwave imaging techniques that can provide volumetric images of the
composite components and a new microwave sensing technique to test water quality.


Maryam Ravan (Senior Member, IEEE) received a Ph.D. degree from
Amirkabir University of Technology, Tehran, Iran. She was a Post-Doctoral
Fellow with the Departments of Electrical and Computer Engineering,
University of Toronto, McMaster University, and Ryerson University, 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, microwave imaging, and nondestructive testing (NDT)
applications. She was also a Lecturer with 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 with the Department of Research and Development, LivaNova PLC,
Houston, TX, where her work focused on developing quantitative biomarkers and MLAs for
investigating the efficacy of closed-loop Vagus Nerve Stimulation (VNS) therapy for epilepsy.
Since Fall 2017, she has been an Assistant Professor with the Department of Electrical and
Computer Engineering, New York Institute of Technology, New York, NY. She has authored or
coauthored more than 75 journal and conference articles, a book chapter, and a book. Her
research interests include signal and image processing, beamforming, machine learning,
microwave holography, radar systems and space-time adaptive processing, and nondestructive
testing. Her research has been supported by U.S. National Science Foundation (NSF),
DND/NSERC Research Partnership Grant with Defense Research and Development Canada
(DRDC) and Raytheon Canada, Ltd., MITACS Internship with St. Joseph’s Hospital in
Hamilton, Canada, and NSERC Engage Grant with Raytheon Canada, Ltd.
She is a guest editor for “Frontiers in EEG Signal Processing”, a special issue of “Algorithms”
Journal, and associate editor for “Statistical Signal Processing” section of “Frontiers in Signal
Processing” Journal.

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