Organizers
[Myounghoon "Philart" Jeon]
Myounghoon "Philart" Jeon, PhD is an Associate Professor of the Department of Industrial and Systems Engineering and the Department of Computer Science at Virginia Tech. His Mind Music Machine Lab tries to integrate different levels of research on human-automation (vehicles, robots, and agents) interaction, including neurological, psychological, and computational approaches.
[Yiqi Zhang]
Yiqi Zhang, PhD is an Assistant Professor of the Department of Industrial and Manufacturing Engineering at Pennsylvania State University. Her Human-Technology Interaction (HTI) Lab aims to understand human-vehicle interaction in ITS by adopting the behavioral approach and human performance modeling approach with the application of warning system design.
[Heejin Jeong]
Heejin Jeong, PhD is an Assistant Professor of the Department of Mechanical and Industrial Engineering at the University of Illinois at Chicago and the director of the Human-in-Mind Engineering Research (HiMER) Lab. His lab develops human performance models based on eye and motion tracking data and cognitive processing theories.
[Christian P. Janssen]
Christian P. Janssen, PhD is an Assistant Professor of experimental psychology at Utrecht University. He leads Utrecht’s research and teaching on Social and Cognitive Modeling. Chris’ interests include human multitasking and human-automation interaction. He uses experiments and models to understand human behavior.
[Shan Bao]
Shan Bao, PhD is an Associate Professor in the Department of Industrial and Manufacturing Systems Engineering at the University of Michigan-Dearborn and a human factors researcher with positions as an associate research scientist at University of Michigan Transportation Research Institute. Her areas of expertise include the statistical analysis of crash datasets and naturalistic data, vulnerable road user safety, experimental design, algorithm development to identify driver states and movement, evaluation of driving-safety technologies, measurement of driver performance, driver decision making, and statistical and stochastic modeling techniques.