Activities
-
Paper Published (RESS)
Posted on 1 min
- Congrats to Olivia Xin!🎊
Our paper “A Hybrid Proactive Framework for Spatial Disorientation Identification and Attention-Guided Intervention toward Cognitive Resilience in Pilot-Aircraft Systems ” was published at Reliability Engineering & System Safety (RESS)
- Congrats to Olivia Xin!🎊
-
Two Papers Published (IEEE-ICHMS 2026)
Posted on 1 min
- Congrats to Qinbiao and myself!!😆
We got two papers published at ICHMS 2026 (2026 IEEE International Conference on Human-Machine Systems, Singapore)
“The Transparency of Insights Into Cockpit Evolution for Future Single-Pilot Operation: Evidence from Eye Tracker Patterns ” from Qinbiao;
“Methodological Challenges in Human Factors Research for Air Traffic Management ” from Mengtao;
- Congrats to Qinbiao and myself!!😆
-
Paper Published (ADVEI)
Posted on 1 min
- Congrats to Zhimin!🎊
Our paper “Predicting detection failures in air traffic control: Leveraging fixation-state transitions and LLM-driven probabilistic threshold tuning ” was published at Advanced Engineering Informatics (ADVEI)
- Congrats to Zhimin!🎊
-
Two Papers Published (HCII 2026)
Posted on 1 min
- Congrats to Mercedes and Zhimin!!🎉
We got two papers published at HCII 2026 (23rd International Conference, EPCE 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Montreal, QC, Canada)
“Human-AI Decision Support for Sustainable Air Traffic Controller Workload: Forecast-Informed Bilevel-Optimized Task-Load Estimation ” from Mercedes;
“How Multi-sector Planning Shapes Shared Situation Awareness Among Air Traffic Controllers: A Team-Level Eye-Tracking Evaluation ” from Zhimin;
- Congrats to Mercedes and Zhimin!!🎉
-
✈️Paper Published (ADVEI)
Posted on 1 min
- TRUST-UP: Trustworthy reinforcement learning using safe techniques for UAV pursuit
In this study, we proposed a Trustworthy Reinforcement learning Using Safe Techniques for UAV Pursuit (TRUST-UP), which consists of two key components: a safety filter constructed from Control Barrier Functions (CBFs) that transforms unsafe RL actions into provably safe flight commands, and a switching strategy that enhances feasibility while maintaining operational transparency. These components enable trustworthy AI deployment in urban airspace, satisfying technical robustness and transparency requirements for aviation certification.

Trustworthy Reinforcement-learning Using Safe Techniques for UAV Pursuit (TRUST-UP)
- TRUST-UP: Trustworthy reinforcement learning using safe techniques for UAV pursuit