Prof. Kam K.H. Ng

2019   PhD (Air Traffic Management), The Hong Kong Polytechnic University
2015  1st class honours, BSc (Logistics Engineering and Management), The Hong Kong Polytechnic University

Jul 2020 - current

Associate Head and Associate Professor (Jul 2025 - );
Assistant Professor (Jul 2020 to Jun 2025), 
Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, HKSAR.

Nov 2019 – Jul 2020

Research Fellow (Nov 2019 to Jul 2020),
School of Electrical and Electronic Engineering & School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore.

Jul 2019 – Nov 2019

Postdoctoral Fellow (Oct 2019 – Nov 2019);
Research Assistant (Jul 2019 – Oct 2019),
Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, HKSAR.

Jun 2018– Nov 2018

Research Assistant (Jun 2018 – Nov 2018),
School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore.

1 Air traffic management & aviation meteorology

1) Prescriptive analytics and smart-predict optimisation for terminal traffic flow and integrated airside/landside operations.
2) Uncertainty modelling and advanced operations research for robust ATM solutions.
3) Application of deep learning for meteorological phenomena (e.g., wake vortex decay, radar-based weather nowcasting) in terminal manoeuvring areas.
4) High-resolution wind prediction for enhanced air traffic flow management and safety.

2 UAS & future air mobility

1) Modelling low-level wind fields and micro-weather phenomena for safe drone operations.
2) Air corridor design and lower-level airspace management for UTM.
3) Drone trajectory optimisation, safety boundary design, and integration with existing air traffic systems.

3 Aviation safety & sustainability

1) Space-based surveillance and AI-driven contrail prediction for climate-resilient air transportation.
2) Modelling and mitigation of aviation emissions and carbon inequality at multiple scales.
3) Clear-air turbulence prediction using global weather forecasts, ground-based sensors, and operational flight data.
4) Data-driven approaches for enhancing aviation safety and risk assessment.

#21 (Worldwide, 2020-2026), #57 (Worldwide, 2015-2024) in Innovative Approaches to Air Traffic Management (TC.1341)

Scholars Ranked World’s Top 2% Scientists in 2026, 2025 and 2022 according to a recent index compiled by Stanford University

1) Corporate Member (2025/26 – present), Hong Kong Aviation Industry Association (HKAIA) 
2) Fellow (2022/23 – present), Hong Kong Meteorological Society (HKMetS) 
3) Fellow (2025/26 - present), Member (2022/23 – 2025/26), The Royal Aeronautical Society (RAeS) 
4) Fellow (2025/26 – present), Member (2022/23 – 2025/26), The Royal Meteorological Society (RMetS) 
5) Senior Member (2025/26 – present), Member (2021/22 – 2025/26), The American Institute of Aeronautics and Astronautics (AIAA) 
6) Member (2015/16 – present), The Institution of Electrical and Electronics Engineers (IEEE) 

1) Co-General Chair, Aviation Innovation Conference for Asia-Pacific (AICAP) 2028, Hong Kong SAR.
2) Communication Chair (2025/26 - present), Air Transportation Section (ATS), Institute for Operations Research and the Management Sciences (INFORMS).
3) Co-opt member, Aircraft Division Committee, The Hong Kong Institution of Engineers (2023/24 – present).

1) Associate Head (Teaching) (Jul 2025 - ), PolyU AAE

All grants and awards ↗