Ankit Shah, Assistant Professor
Industrial and Management Systems Engineering, College of Engineering
IMSE faculty Dr. Ankit Shah was among those selected by the Office of Research and Innovation to receive the 2023 USF Outstanding Research Achievement Award.
For distinguished contributions to the research and development of AI-enabled decision-support methodologies for detecting and mitigating physical and digital threats in defense and civilian applications
Ankit Shah is the director of the Artificial Intelligence Research Laboratory for Secure and Efficient Systems at USF. His research focuses on developing AI-enabled methods to assist human decision-making in identifying and mitigating digital and physical threats for both defense and civilian applications. In 2022, he was awarded four research grants, amounting to more than $1.35 million as a PI or Co-PI. One of these grants, from the U.S. Army, was for researching adversarial evolution and its impact on cybersecurity. In 2022, Shah published five papers showcasing his expertise in deep reinforcement learning, optimization and computer vision. He was invited to present his research on improving cybersecurity with an innovative adversarial machine learning approach at the United States Military Academy at West Point. He also delivered a seminar on AI and Automation for Maritime Applications to the Program Executive Office for Maritime. Throughout 2022, Shah’s research group gave seven invited talks on AI and security at leading technical conferences.