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Li Xiangru (center) received the Best Student Paper Award at the 13th International Conference on Sport Sciences Research and Technology Support, held in Marbella, Spain, on October 20-21, 2025.
Li Xiangru (center) received the Best Student Paper Award at the 13th International Conference on Sport Sciences Research and Technology Support, held in Marbella, Spain, on October 20-21, 2025. 
Study that Evaluates Aerodynamic Drag Area of Cycling Postures
Mechanical Engineering PhD Student LI Xiangru Won Best Student Paper Award at icSPORTS 2025
Prof. Xie Yuan (center) received a 2025 CCF Overseas Outstanding Contribution Award by China Computer Federation (CCF) from Prof. Sun Ninghui (left), CCF President, and Prof. Li Xiaoming (right), Chairman of CCF Awarding Committee, at the award presentation ceremony in Harbin on October 24, 2025.
Prof. Xie Yuan (center) received a 2025 CCF Overseas Outstanding Contribution Award by China Computer Federation (CCF) from Prof. Sun Ninghui (left), CCF President, and Prof. Li Xiaoming (right), Chairman of CCF Awarding Committee, at the award presentation ceremony in Harbin on October 24, 2025. 
Recognizing Distinguished Contribution in Integrated Circuit Chip Design
Prof. XIE Yuan Received 2025 Overseas Outstanding Contribution Award by China Computer Federation
A research team led by Prof. Qu Jianan, Professor of the Department of Electronic and Computer Engineering, School of Engineering, HKUST, has introduced a groundbreaking technique that can capture high-resolution images of the awake mice brain in a near non-invasive manner. The advancement promises deeper insights into human brain function in both healthy and diseased conditions.
A research team led by Prof. Qu Jianan, Professor of the Department of Electronic and Computer Engineering, School of Engineering, HKUST, has introduced a groundbreaking technique that can capture high-resolution images of the awake mice brain in a near non-invasive manner. The advancement promises deeper insights into human brain function in both healthy and diseased conditions. 
Advancing Research into Human Brain and Neurological Diseases
HKUST Engineering Scholars Develop Novel High-Resolution Brain Imaging Technology that Enables Real-time Observation of Mouse Brain
Prof. Hnin Yin Yin NYEIN Achieved ICANX Young Scientist Award
Igniting Passion for Engineering Among Future Innovators
HKUST Information Day 2025 Welcomed 50,000 Visitors to Explore Engineering Excellence
Group photo of the research team: Prof. Abhishek K. Srivastava (second right), corresponding author of the study; Liao Zebing (center), PhD student and first author of the study; as well as co-authors including postdoctoral fellow Dr. Maksym Prodanov (first right), PhD students Mallem Kumar (second left) and Song Jianxin (first left). Mr Liao holds a red emitting QR-LED sample.
Group photo of the research team: Prof. Abhishek K. Srivastava (second right), corresponding author of the study; Liao Zebing (center), PhD student and first author of the study; as well as co-authors including postdoctoral fellow Dr. Maksym Prodanov (first right), PhD students Mallem Kumar (second left) and Song Jianxin (first left). Mr Liao holds a red emitting QR-LED sample. 
Driving High-Performance Display and Lighting Technologies
HKUST Engineering Researchers Develop High-Performance Quantum Red QR-LEDs to Boost Color Vividness and Brightness in Displays
Li Zongjie spoke at the scholarship’s presentation ceremony.
Li Zongjie spoke at the scholarship’s presentation ceremony. 
Academic Excellence Recognized
Computer Science and Engineering PhD Student LI Zongjie Received Ant InTech Scholarship
Prof. Sherry Chen Xian (left), The Hong Kong University of Science and Technology, and Dr. Zhang Chenbo (right), Tongji University, developed FerroAI, a deep learning model that can produce phase diagrams for ferroelectric materials in just 20 seconds. Their findings represent a significant advancement in AI-driven ferroelectric materials research.
Prof. Sherry Chen Xian (left), The Hong Kong University of Science and Technology, and Dr. Zhang Chenbo (right), Tongji University, developed FerroAI, a deep learning model that can produce phase diagrams for ferroelectric materials in just 20 seconds. Their findings represent a significant advancement in AI-driven ferroelectric materials research. 
Artificial Intelligence Empowers Ferroelectric Materials Research
Treasure Phase Diagram Map of Ferroelectric Properties: Can AI Really Unlock It in Seconds?
Prof. Fu Lin is recognized for his outstanding contributions to education, research and service in the profession of aeronautics and related engineering sectors.
Prof. Fu Lin is recognized for his outstanding contributions to education, research and service in the profession of aeronautics and related engineering sectors. 
Contributions in Aerospace Engineering
Prof. FU Lin Elected a Fellow of the Royal Aeronautical Society
Prof. Yoonseob Kim
Prof. Yoonseob Kim 
Emerging Leadership in Advanced Polymer Materials
Prof. Yoonseob KIM’s Review Article Featured in Rising Stars Series 2025 of Progress in Polymer Science
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