Academic Staff

Ph.D. (PolyU), B.Sc. (1^st class honours, PolyU)

MIEEE, MIET, AIAA, MRAeS, MRMetS, FHKMetS

Areas of specialisation

• Air traffic control, air traffic flow management and aviation management
• Operations research and data-driven modelling
• Deep-learning in aviation meteorology and weather hazard prediction
• Urban traffic management in future air mobility
• Aviation safety

Highlights of emgerging ATM research areas in my group

• Data-driven dynamic aircraft wake decay prediction
• Weather hazard prediction, advanced radar meteorology and flight trajectory optimisation
• Space-base surveillance for contrails prediction and climate aware air transportation
• Clear air turbuluence prediction by global weather forecasts, ground instrutmentation and aircraft operational data
• Prescriptive analytics and smart-prediction in runway and airfield operations
• Low-level wind fields, micro-weather phenomena and air corridor design and lower-level airspace management

Brief Biosketch

Prof. Kam K.H. NG is currently an Associate Head and Associate Professor in the Department of Aeronautical and Aviation Engineering (AAE) at the Hong Kong Polytechnic University, HKSAR. His research interests include air traffic management, unmanned aircraft system traffic management, aviation meteorology, data-driven optimisation, operations research and deep learning. His research team secured over $38 million HKD external research grants over the past 5 years, and he has authored and co-authored paper in leading journals, such as Reliability Engineering & System Safety; Transportation Research Part A: Policy and Practice; Transportation Research Part C: Emerging Technologies; Transportation Research Part E: Logistics and Transportation Review; Journal of Air Transport Management; Transport Policy, etc.

ORCID: https://orcid.org/0000-0002-4959-0502

Scopus: https://www.scopus.com/authid/detail.uri?authorId=57188646976

Google scholar: https://scholar.google.com/citations?hl=zh-TW&user=vZiFMAkAAAAJ

ResearchGate: https://www.researchgate.net/profile/Kam_Kh_Ng

Professional affiliations/committees

• Fellow (F’23 - ), The Hong Kong Meteorological Society (HKMetS)
• Corporate Member (M’22), The Hong Kong Society for Transportation Studies (HKSTS)
• Chairman (22-23), Treasurer (21 – 22), Committee member (CMTE’ 17-19 & 20 - 21), Manufacturing and Industrial Engineering Section (MIES), IET Hong Kong.
• Member (M’16 - ), The Institution of Engineering and Technology (IET).
• Member (M’15 - ), The Institution of Electrical and Electronics Engineers (IEEE).
• Member (M’ 21 - ), The American Institute of Aeronautics and Astronautics (AIAA).
• Member (M’ 21 - ), The Air Transport Research Society (ATRS).
• Member (M’ 23), The Royal Aeronautical Society (RAeS).
• Member (M’23), The Royal Meteorological Society (FMeteS).

Research grants – RGC/NSFC (PI and PC only)

• Synergistic solutions: developing dynamic wake vortex decay prediction with wind and meteorological considerations to enhance runway safety and throughput.  General Research Fund 2025, Research Grants Council, HK $1,015,808.00, 01/2026 – 31/2028.
• Spatio-temporal meteorological hazards avoidance through flight trajectory planning for safe and efficient air traffic management, Research grants council (RGC), General research fund (GRF), HK $1,132,781.00, 01/2024 – 12/2026.
• Dynamic wake separation modelling in runway scheduling problem and optimisation methods in terminal manoeuvring areas, The young scientists fund, National natural science foundation of china (NSFC), HK $327,678.00, 01/2024 – 12/2026.
• Towards solution robustness and network resilience of the terminal traffic flow and terminal airspace congestion control, Research grants council (RGC) Early career scheme (ECS) fund, HK $888,670.00, 01/2022 – 01/2025.

Research grants – external & competitive fund (PI and PC only)

• Development of human-centric driver support systems and training recommendations for safer cross-border driving during Northbound Travel for Hong Kong Vehicles, Smart Traffic Fund, Transport Department, HK $7,703,151.61, 01/ 2024 – 12/2026.
• Investigation of an online data-driven intelligent automation platform for drivers considering the psychological condition instability and behaviours for a sustainable and safe transportation system, Smart Traffic Fund, Transport Department, HK Government, HKSAR and Hong Kong Productivity Council, HK $5,544,608.47, 07/2022 – 06/2024.
• Unlocking the potential of AI edge intelligence and cloud-edge computing for flexible robotic and facility control systems, Innovation and technology fund (ITF) – partnership research programme (PRP), HK $3,999,966.80, 07/2021 – 06/2023.