Ankit Shah

Assistant Professor,
Industrial and Management Systems Engineering
Director,
AIR Lab for Secure Systems

University of South Florida

Biography

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 of Assistant Professor with the Computer Science and Engineering department. He is the director of the Artificial Intelligence Research (AIR) Laboratory for Secure Systems at USF and a member of the USF Institute for Artificial Intelligence + X (AI+X). 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, and Information Technology, with a strong focus on Artificial Intelligence for Cybersecurity. His current research work is in the area of deep reinforcement learning and adversarial machine learning for threat reduction and secure systems. He has authored or co-authored 14 articles in peer-reviewed journals and conference proceedings, as well as three book chapters in the application area of Cybersecurity. His work has been published in top journals such as ACM Transactions on Intelligent Systems and Technology, IEEE Transactions on Information Forensics and Security, ACM Transactions on Privacy and Security, and IEEE Transactions on Parallel and Distributed Systems, among others.

Dr. Shah has served in various capacities for both conferences and journals. He is currently serving as a Chair for the Committee’s Choice Cybersecurity Cluster at 2020 INFORMS Annual Meeting, and as a Program Committee member for the IEEE International Conference on Intelligence and Security Informatics 2020, as well as for the IEEE ICDM Workshop on Deep Learning for Cyber Threat Intelligence 2020. He has served as a Session Chair for Security Analytics at the INFORMS Optimization 2018 conference, and was was invited as a panelist at the AAAI 2019 Workshop on Artificial Intelligence for Cybersecurity. He has also been invited for numerous technical talks and seminars by government organizations, industry partners, and technical associations.

Courses

Peer reviewed Articles

Invited Talks

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Lawrence Brown

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Alexandra Jordan

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Michael Harrington

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