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Prof. Kam Hung NG

Prof. Kam Hung NG

Associate Head and Associate Professor

Biography

PhD (PolyU), BSc (1st class honours, PolyU)

MIEEE, MIET, AIAA, MRAeS, MRMetS, FHKMetS

 

Brief Biosketch

Prof. Kam K.H. Ng is currently Associate Head and Associate Professor in the Department of Aeronautical and Aviation Engineering at The Hong Kong Polytechnic University, Hong Kong SAR. He is a Fellow of the Royal Aeronautical Society (RAeS), the Royal Meteorological Society (RMetS), and the Hong Kong Meteorological Society (HKMetS), as well as a member of the American Institute of Aeronautics and Astronautics (AIAA) and the Institute of Electrical and Electronics Engineers (IEEE).

His research interests encompass air traffic management, unmanned aircraft system traffic management, aviation meteorology, operations research, and deep learning. Key contributions include prescriptive optimisation under uncertainty and deep learning models for wake vortex decay and weather nowcasting. His work has demonstrated significant real-world impact, particularly in dynamic wake vortex prediction and separation standards. Utilising LiDAR data, flight tracks, and meteorological inputs—often drawn from observations at Hong Kong International Airport (HKIA)—this research directly supports enhanced runway throughput and safety. By leveraging local LiDAR observations in collaboration with stakeholders such as the Hong Kong Observatory (HKO), it advances operational efficiency, especially in the context of HKIA's three-runway system expansion and efforts to characterise wake vortex behaviour under local meteorological conditions.

Prof. Ng is ranked among the World’s Top 2% Scientists. He has secured major grants from the Research Grants Council, Hong Kong SAR, and his research team has obtained over HK$44 million (~ USD $5.6 million) in external funding over the past five years. His accolades include the 2025 INFORMS Air Transportation Section Best Dissertation Runner-up award (for a supervisee) and the 2025 AIAA Best Paper Award. He has authored and co-authored numerous papers 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, and Transport Policy.

伍淦鴻教授現任香港理工大學航空及民航工程學系副系主任、副教授。他是英國皇家航空學會(RAeS)、英國皇家氣象學會(RMetS)及香港氣象學會(HKMetS)的會士(Fellow),同時也是美國航空航太學會(AIAA)和電氣與電子工程師協會(IEEE)的會員。

他的主要研究方向涵蓋空中交通管理、無人機交通管理(UTM)、航空氣象學、運籌學及深度學習。其核心學術貢獻包括不確定性條件下的規範性優化(Prescriptive Optimisation),以及應用於飛機尾渦消散(Wake Vortex Decay)和天氣臨近預報的深度學習模型。

伍教授的研究成果在民航領域具有顯著的工程應用價值,尤其是在動態尾渦預測與尾流間隔標準方面。通過融合雷射雷達(LiDAR)探測資料、航班軌跡及氣象資料——特別是依託香港國際機場(HKIA)的實測資料,其研究為提升跑道容量(輸送量)與運行安全提供了直接的技術支撐。通過與香港天文台(HKO)等業界部門的深度合作,充分利用本地雷射雷達觀測資料,其團隊進一步揭示了複雜氣象條件下的尾渦演變規律。這一成果不僅有效助力了機場運行效率的提升,也為香港國際機場三跑道系統的擴容與運行優化提供了重要參考。

在學術影響力方面,伍教授入選了「全球前 2% 頂尖科學家榜單。他曾作為項目負責人獲批香港研究資助局(RGC)的多項重大科研基金,其帶領的課題組在過去五年內累計獲批各類科研經費超過 4400 萬港元(約合 560 萬美元)。

伍教授榮獲多項國際學術獎項,包括指導學生斬獲 2025 年運籌與管理科學學會(INFORMS)航空運輸分會優秀學位論文亞軍,以及榮獲 2025 AIAA 最佳論文獎。他在諸多國際頂尖權威期刊上發表了大量高水準學術論文,代表性期刊包括《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》以及《Transport Policy》。

 

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

 

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

 

 Research Directions 1

Research Directions 3

Research Directions 4

Research Directions 2

 

Editorship (International journal)

  • International Editorial Board, Journal of Air Transport Management (2025 – onwards)
  • Editorial Board, Journal of the Air Transport Research Society (2025 onwards)

 

Professional affiliations/committees

  • Corporate Member (2025/26 – present), Hong Kong Aviation Industry Association (HKAIA)
  • Civilian Instructor (2021/22 – 2025/26), Hong Kong Air Cadet Corps (HKACC)
  • Fellow (2022/23 – present), Hong Kong Meteorological Society (HKMetS)
  • Fellow (2025/26 - present), Member (2022/23 – 2025/26), The Royal Aeronautical Society (RAeS)
  • Fellow (2025/26 – present), Member (2022/23 – 2025/26), The Royal Meteorological Society (RMetS)
  • Senior Member (2025/26 – present), Member (2021/22 – 2025/26), The American Institute of Aeronautics and Astronautics (AIAA)
  • Member (2016/17 – 2025/26), The Institution of Engineering and Technology (IET)
  • Member (2015/16 – present), The Institution of Electrical and Electronics Engineers (IEEE)
  • Corporate Member (2022/23 – present), the Hong Kong Society for Transportation Studies (HKSTS)

 

Professional affiliations and community services

  • Communication Chair (2025/26 - present), Air Transportation Section (ATS), Institute for Operations Research and the Management Sciences (INFORMS).
  • Observer (2026), Co-opt member (2024 – 2025), Aircraft Division Committee, The Hong Kong Institution of Engineers.
  • Chairman (2022/23- 2023/24), Treasurer (2021/22 – 2022/23), Committee member (2017/18 – 2021/22), Co-opt member (2017/18), Manufacturing and Industrial Engineering Section, IET Hong Kong (2022/23 – 2023/24).

 

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

  • NTL-RAM-DOM synergy: a learning-and-optimising framework of multi-modal transit solutions for time-critical and imbalanced passenger flows in regional airport clusters. Research Fund 2026, Research Grants Council, HK $902,986.00, 01/2027 – 12/2029.
  • 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)

  • Intelligent Mitigation and Control of Low-Level Wind Shear in Airport Terminal Areas, Research Institute for Large Aircraft, HK 2,900,000.00, 09/2026 – 08/2028.
  • 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.

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