Hung Bui

Papers

Total Citations

156

H-Index

About

Hung Bui is a leading researcher in the fields of plan, activity, and intent recognition, with a particular focus on developing probabilistic and machine learning approaches to model human behavior from observed actions. His seminal work, including the highly cited "Plan, Activity, and Intent Recognition: Theory and Practice" (2014, 156 citations), has established foundational frameworks for understanding how autonomous systems can infer goals and future actions from noisy sensor data. Bui's contributions are pivotal in advancing intelligent systems that anticipate human needs, with applications ranging from assistive robotics to cybersecurity. His research bridges theoretical models with practical implementations, enabling more adaptive and context-aware AI. With over 150 citations on his key publications, Bui's work continues to shape how researchers design algorithms for activity recognition and intention prediction, making him a respected authority in this interdisciplinary domain.