Entry Information
Kam Hung Ng
Prof
Male

22/02/1990
Hong Kong
Hong Kong Identity Card
Y1266
Chinese
Email hidden; Javascript is required.
+85234008232
R807, 8/F, R Core, AAE, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
Hong Kong
Hong Kong
Astronomy
Mathematical Sciences
My research interests and expertise cover air traffic management, aviation meteorology and advanced air mobility. i started my faculty position with the Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University from 2020 July, and i have sucessfully set up a research team and close research collaobration with the Hong Kong aviation industries and Hong Kong Observatory to tackle their challenges in real-world operations. My key main research methodologies fall into uncertainty modelling, operations research and deep learning to supportreal-world decision making. Although this is not related to my research, my hobby is astrophotography, including wide-field, planetary and deep-space imaging. i feel i will enjoy to stay with all these scholars in Astronomy / Math domain.
PhD Graduate
Aviation
The Hong Kong Polytechnic University
Hong Kong
The Hong Kong Polytechnic University
First Academic or Research Referee *
Professor Christina WONG Wing Yan
The Hong Kong Polytechnic University
Director of Research and Innovation
Email hidden; Javascript is required.
Second Academic or Research Referee
Prof. Ng is the domain expert in air traffic management. My team has successfully engaged in impactful research with the Hong Kong Observatory, Government Flying Services, Cathay Pacific Airways Limited, and Hong Kong Express Airways Limited.
One notable research project with high originality and social impact is the wake turbulence prediction in air traffic management. My team has been working with Dr Pak-wai Chan, Director of The Hong Kong Observatory, on this project for more than three years. We are the first research group in the world to deploy deep learning in wake separation taking
With concrete academic-based research work addressing real-life problems, the PI expects to gradually accumulate technological advancement experience and establish long-lasting collaboration with the aviation industry. For instance, the current technology remains in the research stages and requires stakeholder engagement to develop an aircraft wake decay process prediction and dynamic runway separation standard recognised by international civil aviation organisation (ICAO) and other civil aviation authorities. With strong research support from the Hong Kong Observatory and joint research by the project team, it is expected that the deliverables will have a significant impact on future air traffic control research.
No
N/A
University
