Innovative Research Award

Qiuli Gu
Civil Aviation University of China, China

Qiuli Gu is a researcher affiliated with the Civil Aviation University of China whose work focuses on human factors, air traffic control systems, workload assessment, psychophysiological monitoring, and aviation safety. Her research contributes to understanding the interaction between human cognitive performance and operational efficiency within aviation environments. Recent studies have explored personalized workload tolerance models using multimodal psychophysiological data to support safer and more adaptive air traffic management systems.[1]

Abstract

This article presents an overview of the academic profile and research contributions of Qiuli Gu. Her research investigates workload tolerance, psychophysiological assessment, human performance, and decision-support mechanisms within air traffic control systems. By integrating multimodal data approaches into aviation research, her work contributes to the development of personalized and adaptive operational frameworks that support aviation safety and efficiency.[1]

Keywords

Air Traffic Control, Human Factors, Industrial Ergonomics, Aviation Safety, Cognitive Workload, Psychophysiological Data, Human Performance, Aviation Psychology, Multimodal Analytics, Decision Support Systems.

Introduction

The increasing complexity of modern aviation operations requires advanced methods for monitoring human performance and managing cognitive workload. Research in human factors and ergonomics plays a critical role in ensuring operational safety. Qiuli Gu’s work addresses these challenges through innovative approaches that combine physiological measurements, behavioral indicators, and data-driven analysis to improve workload assessment in air traffic control environments.[1]

Research Profile

According to Scopus, Qiuli Gu has authored seven indexed publications, received six citations, and achieved an h-index of two. Her research interests are centered on aviation ergonomics, cognitive workload measurement, psychophysiological monitoring, and personalized assessment frameworks for air traffic controllers. Her work reflects an interdisciplinary approach combining engineering, psychology, and aviation sciences.[1]

Research Contributions

• Development of personalized workload tolerance frameworks for air traffic control operations.
• Application of psychophysiological indicators to evaluate cognitive workload.
• Integration of multimodal data sources for human performance assessment.
• Research supporting aviation safety and operational decision-making.
• Advancement of human-centered approaches in industrial ergonomics.

Publications

A representative publication within her research portfolio is listed below:[2]

• Toward a Personalized Framework for Workload Tolerance in Air Traffic Control: A Psychophysiological Multimodal Data Approach (International Journal of Industrial Ergonomics, 2026).
• A Study of Eye Movement Behavioral Differences Among Air Traffic Controllers.

Research Impact

Qiuli Gu’s research contributes to the growing field of human-centered aviation systems. By examining workload tolerance through psychophysiological and multimodal data analysis, her studies support the design of adaptive technologies and evidence-based strategies that can enhance aviation safety, controller well-being, and operational effectiveness. Such contributions are increasingly relevant as air traffic systems become more technologically sophisticated.[2]

Award Suitability

Qiuli Gu’s research demonstrates innovation through the integration of psychophysiological monitoring, multimodal analytics, and personalized workload assessment models. Her interdisciplinary approach addresses contemporary challenges in aviation safety and human performance, making her work relevant to recognition within programs that celebrate innovative research and emerging scholarly contributions.[1]

Conclusion

Qiuli Gu has contributed to the advancement of aviation human factors research through studies focused on workload tolerance, psychophysiological assessment, and multimodal data integration. Her work supports the development of safer and more adaptive air traffic management systems while demonstrating the value of interdisciplinary innovation in addressing operational challenges within modern aviation.

External Links

• Scopus Profile

References

1. Elsevier. (n.d.). Scopus author details: Qiuli Gu, Author ID 56185253500. Scopus.

   https://www.scopus.com/authid/detail.uri?authorId=56185253500

2. Gu, Q. (2026). Toward a Personalized Framework for Workload Tolerance in Air Traffic Control: A Psychophysiological Multimodal Data Approach. International Journal of Industrial Ergonomics.

   https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5445930

3. A Study of Eye Movement Behavioral Differences Among Air Traffic Controllers.

   http://link.springer.com/chapter/10.1007/978-3-032-12392-3_20

4. Toward a Personalized Framework for Workload Tolerance in Air Traffic Control: A Psychophysiological Multimodal Data Approach (International Journal of Industrial Ergonomics, 2026).
   https://www.sciencedirect.com/science/article/abs/pii/S0169814126000995