Dr. Kishor Datta Gupta is a tenure-track Assistant Professor at Clark Atlanta University specializing in artificial intelligence, machine learning, and cybersecurity. He has earned 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. Twice serving as a Visiting Faculty Researcher at the Air Force Research Laboratory (AFRL), he has led advancements in multi-modal data fusion, physics-guided neural networks, trustworthy AI, and autonomous systems. An IEEE Senior Member, Dr. Gupta has an extensive record of prestigious journal and conference publications and is recognized for his leadership in research, editorial contributions, and mentoring students to national and international success.

Education

• Ph.D., Computer Science, University of Memphis, USA (2021)
• M.S., Computer Science, Lamar University, USA (2017)
• B.Sc., Computer Science, KUET, Bangladesh (2011)

Research Experience

• Assistant Professor, Clark Atlanta University (2022–Present) – Leading AFRL-funded projects on Physics-Guided Neural Networks, PGCNN, Trustworthy AI.
• Visiting Researcher, Airforce Research Lab.  (2024 & 2025 Summer)
• Postdoc, North Carolina A&T State University (2021–2022) – Context-aware intelligent systems, ARL & NASA projects.
• Graduate Research Assistant, University of Memphis (2017–2021) – Adversarial AI defense, NSA-funded multi-factor authentication, DHS cybersecurity.

Research Grants

• Adaptive Knowledge Graph-Based Zero-Shot Learning (DoD AFRL, $145,000)
• Physics-Guided Multimodal Data Fusion (DoD AFRL, $161,000)
• Trustworthy AI for UAV Controller Security (Georgia Tech HBCU RCF Award, $35,000)
• Adaptive Zero-Trust Cybersecurity Architecture (U.S. NRC, $500,000, PI for CAU)
• NASA MPLAN Award $50000, PI)
• AFRL VFRP Extension Award ($14,200)
• Army Research Lab xTechHBCU ($20,000)

Selected Publications

Books:

– Securing Industrial Control Systems: Advanced Strategies and Technologies, Springer .
– Data Driven Approaches for Medical Imaging, Springer (Co-editor, 2024)

Recent Journals (First Author):

• “Physics Guided Neural Networks with Knowledge Graph,” Digital (2024)
• “Adversarial AI Threats on Nuclear Power Plants,” ANS Transactions (2023)
• “Adversarial Attacks & Defenses for Deployed AI Models,” IEEE IT Professional (2022)
• “Negative Selection Algorithm Research & Applications,” IEEE TAI (2022)

See full list on Google Scholar.

Teaching Experience

• Operating Systems (CAU, 2022–2024)
• Applied Machine Learning (CAU, Graduate Level, 2023–2024)

Community & Service

• Conference Co-Chair: IEEE SSCI 2022, 2023
• Reviewer: IEEE TAI, IEEE Access, Springer, Elsevier, MDPI
• Tutorials: SSCI 2021 (Adversarial ML), SSCI 2022 (ML & Defense), SSCI 2023 (Generative AI)
• Panel Talks: AI in Gaming (BEAon 2024), Nuclear Digitization (ANS 2023)