Honors and Awards

• Selected for the Department of Energy's (DOE) Visiting Faculty Program at the Brookhaven National Laboratory (BNL) for the Summer 2025 Term.

• The paper titled "Investigating the Effect of Transcutaneous Electroacupuncture Stimulation on EEG Signals Using EEGNet and Saliency Maps" has received the Best Paper Award at the IEEE Signal Processing in Medicine and Biology Symposium (SPMB), Fall 2024 

• "Developing Quantitative Sensing Technologies to Evaluate Fine Motor Skills for Autistic Children,"  NSF Award No. 2420783, 2024-2027.  

• Featured in New York Institute of Technology Magazine “Pushing the Boundaries With AI,” Fall 2024 (https://magazine.nyit.edu/fall2024/).

• Selected for the Department of Energy's (DOE) Visiting Faculty Program at the Brookhaven National Laboratory (BNL) for the Summer 2024 Term.

• Featured guest on the “Ask the Experts” in Clinical Neurophysiology podcast, March 2023 (https://clinical-neurophysiology-ask-the-experts.simplecast.com/episodes/dr-maryam-ravan-and-dr-gary-hasey)

• “Fast and robust through-the-wall imaging of near-field objects,” NYIT ISRC grant, 2023-2024. 

• "Using machine learning and electroencephalography to detect suicidal ideation in patients with mood disorders,” Collaborative Research Agreement Between McMaster University and New York Institute of Technology, Hamilton Academic Health Sciences Organization (HAHSO), Award number HAH-20-19, 2022-2024. 

• “Developing a Wearable Sensor Technology to Investigate the Effect of Virtual Reality Based Therapy on the Hand Motion and the Related Brain Functioning of Autistic Children "   NYIT ISRC grant, 2022-2023

• Featured in LifeWire’s AI & Everyday Life News “Brain Research Could Help Scientists Create New Kinds of AI—Here's How,” Nov. 2022 (https://www.lifewire.com/brain-research-could-help-scientists-create-new-kinds-of-ai-heres-how-6830722).

• Featured in IEEE Spectrum for a study on “AI Can Offer Insight Into Who Responds to Antidepressants: A new algorithm predicts response to Sertraline with 83 percent accuracy,” Oct. 2022 (https://spectrum.ieee.org/at-last-insight-into-who-responds-to-anti-depressants)

• Featured in New York Institute of Technology News “Engineering Solutions for Healthier Brains”, Oct. 2022 (https://site.nyit.edu/news/features/engineering_solutions_for_ healthier_brains).    

• "RUI: Fast and robust non-destructive testing of cylindrical composite components based on microwave measurements," NSF Award No. 1920098 , 2019-2022. 

• "Advanced Signal Processing Methods to discriminate major and bipolar depressive disorders" NYIT ISRC grant, 2021-2022

• "Developing a Machine Learning Approach to Investigate the Brain Connectivity in Autistic Children and the Effect of Six Weeks Physical and Cognitive Therapy" NYIT ISRC grant, 2019-2021.  

•  "Developing a Machine Learning Approach to Investigate the Brain Connectivity in Schizophrenia " NYIT ISRC grant, 2018-2019.

• "CREATE (Cultivating Resources for Employment with Assistive Technology) Student-centered Assistive Technology Research Conducted under the NYSID CREATE Program" New York State Industries for the Disabled, Inc. 2017-2018.

• Elevated to senior member of IEEE, 2012.

• Department of National Defense (DND) and Natural Sciences and Engineering Research Council of Canada (DND/NSERC) Research Partnership Grant with DRDC Canada, Ottawa, Canada and Raytheon Canada Ltd., Waterloo, Canada, 2012.

• MITACS Internship with St. Joseph's Hospital, Hamilton, Canada, 2011.

• Author for a paper selected as “Highlights Collection of 2010” in Journal of Inverse Problems.

• Natural Sciences and Engineering Research Council of Canada (NSERC) Post-Doctoral Fellowship Engage Grant with Raytheon Canada Ltd, Waterloo, Canada, 2010.