Papers
18
Total Citations
272
H-Index
11
About
David Han is a multidisciplinary researcher whose work spans medical simulation, human-computer interaction, robotics, and data-driven systems. He is perhaps best known for his pioneering contributions to surgical training technology, particularly in the development of haptic robotic simulators for central venous catheterization (CVC)—a procedure performed over five million times annually in the United States. Han's research has consistently addressed the steep learning curves faced by medical residents, producing simulation platforms that incorporate personalized feedback, dynamic patient anatomies, and realistic functional fidelity. His landmark studies, including work on gaze pattern differences between novices and experts (30 citations) and the validation of haptic robotic trainers in clinical settings (17 citations), have helped bridge the gap between simulation centers and real-world patient care. Beyond medicine, Han has extended his expertise to mobile robotics, contributing a Virtual Kinematic Chain framework for coordinated mobile manipulations (19 citations), and to precision agriculture, exploring big data and AI applications for smart farming systems (15 citations). With a body of work accumulating over 200 citations, Han's research reflects a sustained commitment to leveraging technology for skill development, adaptive learning, and intelligent system design across diverse and impactful domains.
Research Focus
Key Achievements
Top Papers
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- 5Consolidating Kinematic Models to Promote Coordinated Mobile Manipulations19 citations · 2021
- 6Improving Medical Education18 citations · 2016
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