Ahmed Bensaoud
About
Dr. Ahmed Bensaoud is an Assistant Professor of Computing Sciences at the University of Hartford. He earned his Ph.D. in Computer Science from the University of Colorado, Colorado Springs in 2023, specializing in Artificial Intelligence and Cybersecurity. His research interests include adaptive AI systems, advanced malware detection, vulnerability management in Large Language Models (LLMs), computer vision, and natural language processing. At the University of Hartford, Dr. Bensaoud teaches courses in Intrusion Detection and Security, Artificial Intelligence, Penetration Testing and Vulnerability, Deep Learning Applications, Internet Programming, Software Development, and Computer Networking. His teaching philosophy focuses on hands-on learning, critical thinking, and collaboration, with a strong commitment to mentoring students both in and outside the classroom. Beyond academia, he has submitted AI research proposals to the National Science Foundation (NSF) and enjoys exploring emerging technologies, traveling to scenic destinations, and volunteering in educational programs that serve the community.
Research Performance Summary
First Recorded Paper
Classifying malware images with convolutional neural network models
Year: 2020
Citations: 97
Venue: International Journal of Network Security 22 (6)
Latest Recorded Paper
CleanSheet: Advancing backdoor attack techniques for deep neural networks with stealthy trigger embedding
Year: 2025
Citations: 0
Venue: Systems and Soft Computing 7
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.