People | HiACE Research Lab

Our Team.

Lab Director

Dr. Nade Liang is an Assistant Professor of the Department of Industrial, Manufacturing, and Systems Engineering at Texas Tech University. He works on cognitive engineering in human-machine and human-automation interactions, behavioral and physiological sensing, human behavior modeling in intelligent transportation systems, and human-computer interaction setups for a diverse population. His current research focuses on 1) eye-tracking and operator behavior-based task performance and decision-making modeling; 2) quantitative human behavior encoding and prediction, with a focus on visual attention allocation and body postures; 3) data-driven human-centered design, prototyping, and evaluation of human-machine and human-AI interfaces, supporting task performance and effective decision-making under various physical, visual and cognitive constraints. He serves as the program chair of the Perception and Performance Technical Group of the Human Factors and Ergonomics Society for the 2023-2025 term.

Education and Training

Ph.D., Industrial Engineering, Purdue University (2024)
M.S., Industrial Engineering, Purdue University (2019)
B.Eng., Transportation Science and Engineering, Beihang University (2017)

Lab Members

Ph.D. Student

Kaiser Hamid

My research primarily focuses on Human-Computer Interaction (HCI) and Deep Learning. With a background in Transportation from my undergraduate studies, I am particularly interested in exploring how HCI can enhance smart transportation systems and data visualisation in this field. After graduation, I aspire to become an academic, dedicating my career to advancing knowledge and innovation in HCI and Deep Learning. I aim to create easy-to-use interfaces for complex systems, using deep learning to make them more efficient and improve user experience.

I have a passion for cricket and can watch a five-day-long test match without losing interest. On the flip side, I can also binge-watch an entire TV series in a single day.

Ph.D. Student

Peihang Li

My research focuses on human factors in transportation safety, particularly in enhancing automated vehicle systems through improved human-machine interfaces. By leveraging technologies like eye-tracking, I seek to reduce driver distraction and workload, ultimately enhancing the overall safety of automated vehicles. In the future, I aim to contribute to safer transportation systems by bridging technology and human factors, whether in academia or the automotive industry.

I am passionate about nature and driving. I once drove from Stockholm, Sweden, to Tromsø, Norway, and back, a journey through the Arctic Circle.

Education Background:
- M.S., Sustainable Urban Mobility Transitions, KTH Royal Institute of Technology & Eindhoven University of Technology (2024)
- B.Eng., Vehicle Engineering, South China University of Technology (2020)