Prof. Haoran Xie Elected a New Member of the Hong Kong Academy of Engineering (HKAE) Young Member Section in 2026
The LEO Dr. David P. Chan Institute of Data Science (LEODCIDS) is pleased to announce that its Director, Professor Haoran Xie, has been elected a new member of the Hong Kong Academy of Engineering (HKAE) Young Member Section in 2026.
Prof. Xie is Professor and Person-in-Charge of the Division of Artificial Intelligence, Associate Dean of the School of Data Science, Director of LEODCIDS, and Programme Director of the Bachelor of Science (Honours) in Data Science at Lingnan University. His election makes him the fifth Lingnan University professor to be elected as a Fellow or Young Member of the HKAE, and the second young scholar from the University to receive this honour.
Prof. Xie’s research spans artificial intelligence, machine learning, natural language processing, large language models and AI in education. His work focuses on advancing trustworthy, human-centred and impactful AI applications, particularly in areas including language learning, education and intelligent systems.
Since 2021, Prof. Xie has been included in Stanford University’s list of the world’s top 2% scientists. As of July 2026, his work had received more than 35,000 Google Scholar citations, with an h-index of 73 and an i10-index of 279.
Commenting on the recognition, Prof. Xie noted that Hong Kong offers distinctive advantages through its international talent network, diverse application settings and open research environment. He will continue to promote innovation and cross-disciplinary applications in generative AI, natural language processing and trustworthy AI, while contributing to AI governance that balances technological development with safety, ethics and social responsibility.
The HKAE Young Member Section brings together promising engineering and technology professionals who contribute to Hong Kong’s innovation and technology development. LEODCIDS extends its warmest congratulations to Prof. Xie on this well-deserved recognition and looks forward to his continued leadership in AI research, education and knowledge transfer.