Scholar
Kishor Datta Gupta
Google Scholar ID: yFREujoAAAAJ
Assistant Professor of Computer Science, Clark Atlanta University | Senior Member, IEEE
Citations & Impact
Citations
2,546
H-index
21
i10-index
42
Publications
20
Co-authors
118
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Recipient of multiple competitive research awards, including the 2025 NASA MUREP Partnership Learning Annual Notification (MPLAN) award, two Department of Defense (DoD) research grants, and a prestigious Nuclear Regulatory Commission (NRC) award; Extensive record of prestigious journal and conference publications; Author of 'Securing Industrial Control Systems: Advanced Strategies and Technologies' and co-editor of 'Data Driven Approaches for Medical Imaging'.
Research Experience
- Currently an Assistant Professor at Clark Atlanta University (2022–Present), leading AFRL-funded projects on Physics-Guided Neural Networks, PGCNN, and Trustworthy AI; Visiting Researcher at Air Force Research Laboratory (Summer 2024 & 2025); Postdoc at North Carolina A&T State University (2021–2022) working on context-aware intelligent systems, ARL & NASA projects; Graduate Research Assistant at the University of Memphis (2017–2021) focusing on adversarial AI defense, NSA-funded multi-factor authentication, and DHS cybersecurity.
Education
- Ph.D. in Computer Science from the University of Memphis, USA (2021); M.S. in Computer Science from Lamar University, USA (2017); B.Sc. in Computer Science from KUET, Bangladesh (2011).
Background
- Specializes in artificial intelligence, machine learning, and cybersecurity. He has extensive research experience, particularly in multi-modal data fusion, physics-guided neural networks, trustworthy AI, and autonomous systems.
Miscellany
- Senior Member of IEEE; Served as Conference Co-Chair for IEEE SSCI 2022, 2023; Reviewer for IEEE TAI, IEEE Access, Springer, Elsevier, MDPI; Conducted tutorials at SSCI 2021 (Adversarial ML), SSCI 2022 (ML & Defense), SSCI 2023 (Generative AI); Delivered panel talks on AI in Gaming (BEAon 2024) and Nuclear Digitization (ANS 2023); Has teaching experience in Operating Systems and Applied Machine Learning.
