Assistant Professor, Industrial and Management Systems Engineering
University of South Florida
Dr. Ankit Shah is an assistant professor of Industrial and Management Systems Engineering at the University of South Florida (USF). He also holds a courtesy faculty appointment as Assistant Professor with the Computer Science and Engineering department. Dr. Shah is the director of the Artificial Intelligence Research (AIR) Laboratory for Secure Systems at USF and a USF Institute for Artificial Intelligence + X (AI+X) member. He is also a USF I-Corps Fellow. Before joining USF, he was a researcher in the field of Reinforcement Learning at the Lawrence Livermore National Laboratory in CA and the Center for Secure Information Systems in VA. He has over nine years of industry experience in the Information Technology and Security sector. Dr. Shah’s research interests lie at the intersection of Computer Science, Operations Research, Data Science, and Information Technology, with a strong focus on Artificial Intelligence for Cybersecurity and other defense applications. His current research is in deep reinforcement learning and adversarial machine learning for threat detection and mitigation.
Dr. Shah’s research on developing an AI-based hazard detection approach toward securing airfield runways was sponsored by the U.S. Department of the Air Force (SBIR Phase II research project). Below is a published article investigating optimal foreign object debris detection in an airport environment with the development of state-of-the-art computer vision models.
- Mohammad Noroozi, Ankit Shah, “Towards optimal foreign object debris detection in an airport environment,” Elsevier Expert Systems with Applications (ESWA), First Online: 20 September 2022. DOI: https://doi.org/10.1016/j.eswa.2022.118829
Some other publications related to methodologies and threat management are as follows:
- Soumyadeep Hore, Fariha Moomtaheen, Ankit Shah, Xinming Ou, “Towards optimal triage and mitigation of context-sensitive cyber vulnerabilities,” IEEE Transactions on Dependable and Secure Computing (TDSC), 2022. First Online: 22 February 2022. DOI: 10.1109/TDSC.2022.3152164
- Ankit Shah, Rajesh Ganesan, Sushil Jajodia, Hasan Cam, “Maintaining the level of operational effectiveness of a CSOC under adverse conditions,” Springer International Journal of Information Security (IJIS), First Online: 22 November 2021. DOI: 10.1007/s10207-021-00573-4
- Jalal Ghadermazi, Soumyadeep Hore, Dinesh Sharma, Ankit Shah, “Adversarial deep reinforcement learning enabled threat analytics framework for constrained spatio-temporal movement intelligence data,” 2021 IEEE International Conference on Intelligence and Security Informatics (ISI), 2021, pp. 1-6, DOI: 10.1109/ISI53945.2021.9624731
- Ankit Shah, Arunesh Sinha, Rajesh Ganesan, Sushil Jajodia, Hasan Cam, “Two can play that game: An adversarial evaluation of a cyber-alert inspection system,” ACM Transactions on Intelligent Systems and Technology (TIST), Vol. 11, No. 3, 2020, pages 32:1-32:20. DOI: 10.1145/3377554
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