Yang Jing

Dr. Yang Jing is an Assistant Professor in the Department of Industrial and Systems Engineering at the University at Buffalo. Their research focuses on human-robot interaction, adaptive automation, and human factors in healthcare and autonomous systems. Dr. Yang holds a PhD in Industrial Engineering from Purdue University (2023).

Research Interests: Human factors engineering, robotic-assisted surgery, cognitive modeling, medical performance assessment, and multimodal sensing for situation awareness. Their work integrates physiological measurements (EEG, eye-tracking) with computational intelligence to improve human-technology collaboration.

Key Research Contributions: Pioneered adaptive human-robotic interaction architectures for surgical environments, developed EEG-based techniques for driver state monitoring, and created computer-vision systems for ergonomics assessment. Recent work explores neurotechnological aids for semi-autonomous surgical tools and automated driving situation awareness classification.

Labs & Teams: Leads the Human Factors in Robotics Lab, focusing on interdisciplinary projects at the intersection of industrial engineering, neuroscience, and medical technology. Collaborates with automotive and healthcare industries to translate research into practical applications.