CoECS Research Seminar Series: Maryam Ravan, Ph.D.

Event

CoECS Research Seminar Series: Maryam Ravan, Ph.D.

November 12, 2020
1:00 PM – 2:00 PM

Join Maryam Ravan, Ph.D., assistant professor of electrical and computer engineering, for her presentation on “Signal Processing and Machine Learning with Applications in Biomedical Engineering and Non-Destructive Testing.

Abstract: 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, Ravan will present her works on following two applications:

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  1. Biomedical Engineering: Mental and neurological disorders including diseases such as major depressive disorder (MDD), schizophrenia, and epilepsy are among the conditions affecting the brain which 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. Ravan will present her works on using MLAs to predict response to treatment and also investigate the efficacy of treatments for patients with epilepsy, schizophrenia, and major depressive disorder (MDD).
  2. Microwave Imaging: The relatively long wavelength of microwave and millimeter waves allows for penetration inside dielectric bodies where visible light cannot reach. In the field of nondestructive testing (NDT), one emerging application of microwave imaging is NDT of non-metallic composite components for detection of defects. Ravan will present her works on developing new wideband microwave NDT techniques based on holographic concepts that can provide volumetric images of the composite components.

ABOUT MARYAM RAVAN

Maryam Ravan, Ph.D., is an assistant professor in the Department of Electrical and Computer Engineering at New York Institute of Technology. Before joining New York Tech, she was a senior research scientist in the Department of Research and Development at LivaNova PLC. She received a Ph.D. in Electrical Engineering from Amirkabir University of Technology (Tehran Polytechnic). She has authored/co-authored over 70 journal and conference articles, a book chapter, and a book. She is a recipient of U.S. NSF, DND/NSERC Research Partnership Grant with Defense Research and Development Canada and Raytheon Canada Ltd., MITACS Internship with St. Joseph’s Hospital in Hamilton, Canada, and NSERC Engage Grant with Raytheon Canada Ltd. 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 is a senior member of IEEE and guest editor for a special issue on "Machine Learning Algorithms for Biomedical Signal Processing" in Algorithms Journal.

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