Georgia Institute of Technology
Dr. Mengtao (Tomy) Lyu is currently a Postdoctoral Fellow at the Hybrid Intelligence (HI) Lab , Georgia Institute of Technology . He received his PhD in Human Factors Engineering from the Department of Aeronautical and Aviation Engineering , The Hong Kong Polytechnic University (PolyU) , MSc in Supply Chain & Lgistics from School of Mechanical and Aerospace Engineering , Nanyang Technological University (NTU) , and BEng in Software Engineering and BA in Japanese(Dual degree) from School of Software , Dalian University of Technology (DUT) . Before joining the HI Lab , he was a Research Fellow at Air Traffic Management Research Institute (ATMRI) in Singapore .
Tomy is a member of The Hong Kong Ergonomics Society , and a member of Chinese Ergonomics Society . He serves as a reviewer for many international journals and conferences, including, but not limited to: Engineering Applications of Artificial Intelligence , Advanced Engineering Informatics , Knowledge-Based Systems , Computers & Industrial Engineering , IEEE Transactions on Human-Machine Systems , International Journal of Human-Computer Interaction , Ergonomics , International Journal of Human-Computer Studies .
In addition to the academic activities, Tomy used to work as an IT consultant at ABeam Consulting , and as an IT supervisor at Asics Corp .
Research Interest
- Human Factors
- Human-Computer Interaction
- Human-AI Teaming
- Transportation safety
- Bio-signal analysis
- Knowledge-based decision making
News
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Paper Published (ADVEI)
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- 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!🎊
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Two Papers Published (HCII 2026)
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- 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!!🎉
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✈️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
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I have received the 2025/26 Outstanding Student Project Award
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- I’m delighted to share that I received the Outstanding Student Project Award, The Hong Kong Ergonomics Society (HKES)
I woke up at 4:30 AM to attend the meeting online, while such milestones definately worth losing a little sleep 😄
(Also excited to share that I broke my benchpress PR that same morning, hitting 117.5kg in the gym, carrying that excitement😎)
Award Certificate
- I’m delighted to share that I received the Outstanding Student Project Award, The Hong Kong Ergonomics Society (HKES)