- Associate Professor, Engineering Technology & Industrial Distribution
- Rita and Mark Puckett ’73 Engineering Excellence Professor
- Multidisciplinary Engineering Technology
- Phone: 979-845-3215
- Email: gvcrosby@tamu.edu
- Office: SBSA 117C
- Website: Emerging Networks and Security (ENaS) Lab
Educational Background
- Ph.D., Electrical Engineering, Florida International University – 2007
- M.S., Computer Engineering, Florida International University
- B.S., Electronics (Applied Physics), University of the West Indies
Research Interests
-
- Internet of Things (IoT)
- Securing the Internet of Robotic Things
- Cyber-physical Systems Security
- Network Security (Cybersecurity)
- STEM education
Certifications & Memberships
- Institute of Electrical & Electronics Engineers (IEEE) Senior Member - 2011
Awards & Honors
- Rita and Mark Puckett '73 Engineering Excellence Professorship - 2026
- Texas A&M Association of Former Students Distinguished Achievement Award - 2026
- Department of Engineering Technology & Industrial Distribution Service Excellence Award - 2021
Selected Publications
- D. Commey, G.V. Crosby, “PQSBFL: A Post-Quantum Secure Blockchain-based Federated Learning Framework,” Expert Systems with Applications, Elsevier, Volume 312, May 2026
- D. Commey, M. Nkoom, S. Hounsinou, G.V. Crosby, “Blockchain-Enabled Dynamic Honeypot Conversion for Resource-Efficient IoT Security,” Journal of Information Security and Applications (JISA), Elsevier, September 2025
- M. Nkoom, S.G. Hounsinou, G.V. Crosby, “Securing the Internet of Robotics Things (IoRT) against DDOS Attacks: A Federated Learning with Differential Privacy Clustering Approach,” Computers & Security, Elsevier, Volume 155, August 2025
- M. Nkoom, S.G. Hounsinou, G.V. Crosby, “Securing the Internet of Robotics Things: A Comprehensive Review on Machine Learning-based Intrusion Detection,” Journal of Cyber Security Technology, Taylor & Francis, 1-50, December 2024
- A. Mahdi, J. Qin, G.V. Crosby, “DeepFeat: A Bottom Up and Top Down Saliency Model Based on Deep Features of Convolutional Neural Nets,” IEEE Transactions on Cognitive and Developmental Systems, Volume 12, Issue 1, 2020