Xiaoli Wu | Engineering | Best Researcher Award

Prof. Xiaoli Wu | Engineering | Best Researcher Award

Nanjing University of Science and Technology | China

Author Profile

Orcid

Early Academic Pursuits 🎓

Prof. Xiaoli Wu's academic journey began with a Bachelor’s degree in Industrial Design from Shaanxi University of Science & Technology in 2003, followed by a Master’s in Mechanical Design and Theory from the same institution. She earned her PhD in Mechanical Engineering with a specialization in Human-Computer Interaction from Southeast University in 2015. Her scholarly curiosity and ambition were evident early, paving the way for a global academic footprint.

Professional Endeavors and Milestones 🌏

Currently a professor in the Department of Industrial Design at Nanjing University of Science & Technology, Prof. Wu leads the Laboratory of Human Factors and Information System Design. Her career spans roles as lecturer and associate professor at Hohai University and visiting professorships at prestigious institutions, including the University College London and Loughborough University in the UK. Notably, she was a research scholar at the Australian National University, contributing to the Human-Centered Computing group.

Contributions and Research Focus 🧠

Prof. Wu’s research is a confluence of Human-Computer Interaction, Information Visualization, and Intelligent Interaction. Her groundbreaking studies explore cognitive ergonomics, visual cognition mechanisms, and design optimization in complex systems. Her expertise extends to intelligent manufacturing and real-time information systems, making her a pioneer in applying design principles to advanced technological ecosystems.

Accolades and Recognition 🏆

Prof. Wu’s excellence has been acknowledged through numerous awards, such as the prestigious “333” High-Level Personnel Scholar of Jiangsu Province and recognition for her innovative work on visual-cognition and error-cognition mechanisms. Her research grants from national and provincial foundations highlight her leadership in cutting-edge studies, totaling over millions of CNY.

Impact and Influence 🌍

As a member of the Chinese Ergonomics Society and editor for prominent journals, Prof. Wu plays a vital role in shaping discourse in design and ergonomics. Her work as a peer reviewer for esteemed publications ensures that the highest standards of research are upheld. Her books, such as Design and Cognition and Human-Computer Interaction in Intelligent Manufacturing, are invaluable resources for academics and practitioners alike.

Legacy and Future Contributions ✨

Prof. Wu's dedication to teaching and mentoring spans nearly two decades, guiding graduate and postgraduate students in design cognition and human-computer interaction. Her innovative methods and interdisciplinary approach continue to inspire a new generation of researchers. With forthcoming publications and ongoing projects, her contributions are set to leave an indelible mark on the fields of industrial design and intelligent systems.

 

Publications


  • 📄"Effective Factors of Icons Searching Performance Based on Visual Attention Capture for the Nuclear Power Plants"
    • Journal: Journal of the Society for Information Display
    • Year: 2023
    • Authors: Xiaoli Wu, Can Zhou, Yuqi He, Qian Li, Shikang Yu

  • 📄"How Information Within the Perceptual Span Guides Visual Search and Aids Perception"
    • Journal: Displays
    • Year: 2023
    • Authors: Yufeng Chen, Chenyi Liao, Xiaoli Wu, Zexi Fang, Lan Zhang

  • 📄"Study on the Correlation and Inhibition of Visual Marking and Industrial Icons"
    • Journal: Displays
    • Year: 2023
    • Authors: Xiaoli Wu, Ke Zhang, Zexi Fang, Duncan P. Brumby, Xiaoyang Mao, Xiaoyan Wang, Qian Li

  • 📄"Exploring the Relationships Between Distractibility and Website Layout of Virtual Classroom Design with Visual Saliency"
    • Journal: International Journal of Human–Computer Interaction
    • Year: 2022
    • Authors: Shanshan Chen, Xiaoli Wu, Yajun Li

  • 📄"Study on Semantic‐Entity Relevance of Industrial Icons and Generation of Metaphor Design"
    • Journal: Journal of the Society for Information Display
    • Year: 2022
    • Authors: Xiaoli Wu, Han Yan, Niu Jiaran, Zhifeng Gu