Dongsong Zhang

University of Maryland, Baltimore County

Papers

Total Citations

H-Index

About

Dongsong Zhang is a leading researcher in computational deception and noncooperative behavior, with a focus on modeling deceptive interactions in intelligent systems, robotics, and serious game environments for training and simulation. His work addresses critical challenges in safety, security, and warfare by developing frameworks that understand and simulate deceptive tactics. Zhang’s research integrates speech and text analysis, physiological sensors, and intelligent software to detect deception, while also exploring how cameras and microphones can enhance these capabilities. His most-cited papers, including "Computational Deception and Noncooperation" (2012, 9 citations) and "Trends & Controversies" (2012, 8 citations), serve as foundational surveys that introduce key concepts and controversies in the field. These contributions have shaped the understanding of how deception can be modeled to improve system robustness and realism in training environments. Zhang’s work is notable for its interdisciplinary approach, bridging artificial intelligence, psychology, and security studies, and has influenced both academic research and practical applications in defense and simulation technologies.