Lab Members
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Sunil Kumar Gaire, Ph.D.
Sunil Kumar Gaire, Ph.D.
Assistant Professor, Department of Electrical and Computer Engineering
Member: Neurovascular Engineering Research Center (NERVE) at NCA&T
College of Engineering, North Carolina A&T State University
M-ERIC- Room 219
1601 E Market St., Greensboro, North Carolina, 27411
Lab Location: Monroe Hall-324
Email: skgaire [at] ncat [dot] edu
Linkedin Google Scholar, ORCiD 0000-0002-2084-9947
0000-0002-2084-9
0000-0002-2084-9
Md. Shahin Alom
Md. Shahin Alom
Ph.D. Student
Department of Electrical and Computer Engineering
Research area: Machine learning, Biomedical imaging, Deep Learning, Computer Vision.
Osagie Okhuegbe
Osagie Okhuegbe
Ph.D. Student
Department of Electrical and Computer Engineering
Research area: Machine learning, Deep Learning and Optimization
Udoy Roy Turza
Udoy Roy Turza
Ph.D. Student
Department of Electrical and Computer Engineering
Research area: Machine learning, Biomedical Imaging, Computer Vision, System Modeling and Optimization
Sayed Waliullah Oli
Sayed Waliullah Oli
Ph.D. Student
Department of Electrical and Computer Engineering
Research area: Machine Learning, Deep Learning, Biomedical Imaging, Signal Processing
Sanjaya Poudel
Sanjaya Poudel
Ph.D. Student
Department of Electrical and Computer Engineering
Research area: Efficient AI, Computer Vision, Generative AI, Neurosymbolic AI, and Medical Image Computing
Isaac Adom
Isaac Adom
Ph.D. Candidate
Department of Electrical and Computer Engineering
Research area: eXplaniable Artificial Intelligence (XAI) for autonomous systems, cybersecurity and privacy for vehicular ad hoc networks, federated learning, smart grids, unmanned aerial vehicles, and broader machine learning applications
Undergraduate students:
Chance Hurd
Brian Peacock: Spring-Fall 2025
Mitchell Townsend: Spring 2024
Lamadia Brewington: Fall 2023
Alumni
Ibukun Adeniji: M.S. Student (Project track) Department of Electrical and Computer Engineering- Graduated Spring 2025
Ebenezer Owusu-Kusi: M.S. Student, Department of Electrical and Computer Engineering - Graduated Fall 2024
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