Research Interest: Aviation Meteorology, Air Traffic Flow Management, Trajectory Optimization
Education
B.Eng, Industrial Engineering, Sichuan University, 2019.09-2023.06
M.S, Operations Research and Industrial Engineering, University of Texas at Austin, 2023.09-2025.06
Ph.D, Aviation Engineering, The Hong Kong Polytechnic University, 2026.01-present
Employment
Industrial Engineer, China National Erzhong Group, 2025.07-2025.09.
Core Research
Research 1: Synchronised Demand-Capacity Balancing in Climate-Charged Air Traffic Flow Management.
A predictive-prescriptive framework was developed to synchronise flight planning, dynamic airspace configuration, and air traffic controller rostering under climate-charged airspace policies. Deep learning and stochastic optimisation were integrated to account for uncertainty in climate-sensitive areas and balance operational costs, capacity, workforce resources, and aviation’s non-CO₂ climate impact. Experiments in Western European upper airspace demonstrated that the framework supports greener and more efficient air traffic management.
Research 2: Multisource 3D Convective Cell Reconstruction, Evolution Nowcasting, and Aviation Decision Optimisation.
Multisource observations from S- and X-band weather radars, Himawari-9 satellites, and numerical weather prediction are fused to identify and reconstruct the three-dimensional state of convective cells in the Hong Kong TMA. A hybrid data–physics model nowcasts their movement, intensity, and structural evolution and translates the forecasts into dynamic three-dimensional aviation hazard volumes. These forecasts support procedure-aware rerouting and coordinated multi-aircraft 4D trajectory optimisation under severe weather.
Key Publications
[1] Chen, Y., Ng, K. K., & Delahaye, D. (2026). Predictive and prescriptive analytics for synchronised demand–capacity balancing in climate-charged air traffic flow management. Transportation Research Part C: Emerging Technologies. (Under Review)
[2] Chen, Y., & Ng, K. K. (2027). Prediction and decision fusion for sustainable air traffic, airspace, and ATC management under non-CO₂ climate effects. Aviation Innovation Conference for the Asia-Pacific (AICAP 2027). (Submitted)