About Me

I am Jingan Peng, a Ph.D. student in
Industrial & Systems Engineering.
Research assistant at Human Factors & Simulation Lab.

My research focuses on VR-based experiments, fNIRS signal analysis, eye-tracking, and human performance evaluation in human-automation systems.

I currently work on several projects involving:

• VR arithmetic tasks combined with fNIRS to study cognitive workload and infrared interference
• Analysis of human comfort, trust, and behavior in ACC and CACC automated driving systems
• Motion artifact correction and signal-cleaning pipelines for fNIRS data
• VR educational interface design and learning performance assessment

Beyond research, I have hands-on experience building VR experiments, developing data-processing pipelines in Python and R, conducting peak-frequency and time-series analyses, and supporting simulation-based human factors studies. I also serve as a teaching assistant for Simulation and Data-Driven Decision Making.

My long-term goal is to develop reliable, data-driven methods that support human-centered system design, and to continue growing as an independent researcher working across VR, cognition, and human-automation interaction.