News
2025 AI 2000 Most Influential Scholar Award Honorable Mention
Prof Zhenjiang LI has been included in the 2025 AI 2000 Global Artificial Intelligence Scholars List and received the 2025 AI 2000 Most Influential Scholar Award Honorable Mention, recognising his outstanding research contributions in Computer Networking through impactful publications from 2015 to 2024.
The AI 2000 List from AMiner recognises the top 2,000 AI scholars globally who have significantly advanced the frontiers of AI research and innovation.
Springer Nature Editor of Distinction Awards 2025
Prof Rynson Lau has been honored with the Springer Nature Editorial Contribution Award 2025 for his contributions to International Journal of Computer Vision (IJCV). This prestigious recognition, presented by Springer Nature, celebrates Prof Lau’s meticulous assessment of submissions and rigorous management of the peer review process, safeguarding the scientific accuracy of the published record. The award reflects his dedication to advancing research excellence and fostering a rigorous and impactful publication environment.
Fellow of the Hong Kong Academy of Engineering (HKAE)
Prof Jun WANG was elected as a new Fellow of the Hong Kong Academy of Engineering (HKAE) for the year 2024 during the 31st HKAE Annual General Meeting held on 9 December 2024.
Founded in 1994, the HKAE was established by distinguished engineers to promote the advancement of science and practice of engineering for the benefit of Hong Kong. In additional to its supports for education and research programs, the HKAE further engages in policy research and offers expert advice on engineering-related matters to the government and other organizations.
2024 Laureate of the prestigious Bank of China (BoC) Science and Technology Innovation Prize (STIP)
Professor Cong WANG, Professor and Associate Head in the Department of Computer Science, has been recognised for his pioneering work in developing innovative data and AI security technologies. His research focuses on safeguarding private data while unlocking the potential of data value in FinTech ecosystems. Prof. WANG’s contributions include the development of encrypted databases, privacy-preserving data analytics platforms, and AI security systems, which have significantly enhanced the integrity and robustness of AI operations in the financial sector. His work ensures that data security is integral to system design, paving the way for the next generation of smart FinTech applications.