Biography: Dr. Ying (Gina) Tang is the Professor and Undergraduate Program Chair, Electrical and Computer Engineering department of Rowan University, New Jersey, USA. Her research centers on cyber-physical-social intelligence (CPSI), with an emphasis on modeling and control for adaptation and personalization. Her work is supported by numerous federal agencies, such as National Science Foundation, US Army, Federal Aviation Administration, U.S. Environmental Protection Agency, as well as private foundations and industry partners. Dr. Tang holds three U.S. patents and has authored over 250 high-impact peer-reviewed publications. She is presently Senior Editor of IEEE Transactions on Systems, Man, and Cybernetics: Systems and IEEE Transactions on Intelligent Vehicles, and Associate Editor of IEEE Transactions on Computational Social Systems and Springer’s Discover Artificial Intelligence. Additionally, she is the Founding Chair of two IEEE Technical Committees on Intelligent Solutions to Human-aware Sustainability and Sustainable Production Automation. Dr. Tang was the recipient of numerous awards, including the 2024 IEEE SMCS Outstanding Contribution Award, multiple Best Paper/Best Student Paper awards, the Most Active Technical Committee awards from IEEE SMCS (2021) and IEEE RAS (2020), Christian R. and Mary F. Lindback Minority Junior Faculty Award, and Charles A. and Anne Morrow Lindbergh Foundation Award.

Abstract - With the emergence of cyber space, physical space, and social space, adaptive intelligence has become the key enabler of seamless integration across these domains, embodied in what are known as Cyber-Physical-Social Systems (CPSS). By personalizing the interactions between machine intelligence and human intelligence, CPSS can respond more effectively to the real-time needs of individuals and groups, presenting a wealth of potential for enhancing situation awareness across diverse fields. However, new challenges continue to arise in understanding and characterizing the intricate relations of machines, humans, and the natural world, all of which are vital for effective command and control. This talk will present perspectives of CPSS with the focus on solutions that address the dynamics of human interactions. Examples will include the use of AI-driven pedagogical agents in personalized learning environments and the visual analytic study of aviation safety data will be explored, highlighting how these systems can dynamically adapt to complex, data-rich environments for enhanced decision-making.