HKUST ENGINEERING

Research
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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.
HKUST Engineering Researchers Develop High-Performance Quantum Red QR-LEDs to Boost Color Vividness and Brightness in Displays
Prof. Abhishek K. SRIVASTAVA’s research team has made significant advances in quantum rod light-emitting diodes (QR-LEDs), setting record-high efficiency level for red QR-LEDs.
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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.
Treasure Phase Diagram Map of Ferroelectric Properties: Can AI Really Unlock It in Seconds?
Prof. Sherry CHEN Xian’s research team has developed FerroAI, a deep learning model that can produce phase diagrams for ferroelectric materials in just 20 seconds.
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A photo of Prof. Chen Hao (right), Director of Collaboration Center for Medical and Engineering Innovation, and Assistant Professor of the Department of Computer Science and Engineering and Department of Chemical and Biological Engineering, and Prof. Liang Li (left), Director of Department of Pathology at Nanfang Hospital and Professor of School of Basic Medical Sciences at Southern Medical University.
SmartPath Intelligently Analyzes Complex Pathology Images to Support Diagnosis and Prognosis, Enabling Precise Personalized Treatment
Prof. CHEN Hao’s research team has launched SmartPath, a comprehensive artificial intelligence (AI) system designed to transform the entire pathology workflow for cancer care.
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HKUST researchers develop SmartCare, an AI platform that redefines patient journeys from triage to treatment. A pilot study has been launched in its on-campus clinic. The project is led by (from left) Prof. Samuel Yu Chung-Toi, Director of the Health, Safety, and Environment Office at HKUST, Prof. Chen Hao from the Department of Computer Science and Engineering, and Dr. Justin Cheng, SmartCare’s CEO and Co-founder.
HKUST-Developed SmartCare Shifts Clinical Focus to Patient Care
Prof. CHEN Hao’s research team has introduced SmartCare—an AI platform developed by HKUST researchers that redefines patient journeys from triage to treatment—in its on-campus clinic.
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Prof. Li Xiaomeng (center), Assistant Professor from the Department of Electronic and Computer Engineering and Associate Director of Center for Medical Imaging & Analysis; Mr. Edmond Yau (right), Founder and CEO of Koln 3D; and Dr. Tse Lung-Fung (left), Orthopedics & Traumatology specialist and Medical Consultant to Koln 3D, discuss the applications of the new technology and future partnership opportunities.
HKUST Develops AI Medical Imaging Technology that Cuts Radiation by 99%
Prof. LI Xiaomeng’s research team has developed a groundbreaking AI technology that reconstructs precise 3D bones and organs models from minimal X-ray images, slashing patients’ radiation exposure by up to 99% compared to CT scans.
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Prof. Dan Tsang’s research was featured as the back cover of Advanced Science journal (Volume 12, Issue 21, June 2025).
HKUST Engineering Researchers Pioneer Breakthroughs in Lithium-Ion Battery Recycling to Enhance Critical Metal Recovery and Reduce Carbon Emissions
Prof. Dan TSANG’s research team has revealed a previously unrecognized atomic-scale mechanism that obstructs efficient lithium-ion battery recycling.
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Corresponding author Prof. Zhou Yuanyuan (left), holding a crystal model of perovskite, and first author Dr. Duan Tianwei (right) standing in front of solar panels.
HKUST Partners with Top US and Swiss Universities to Propose Innovative Strategy Reshaping Stability and Sustainability of Perovskite Solar Cells
Prof. ZHOU Yuanyuan’s research team has introduced comprehensive bio-inspired multiscale design strategies to address key challenges in the commercialization of perovskite solar cells: long-term operational stability.
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A group photo of Prof. Abhishek K. Srivastava (first row, center), Dr. Maksym Prodanov (first row, second right) and PhD candidate Mr. Kumar Mallem (first row, second left) with members of their research team. In the photo, Dr. Prodanov holds three bottles with quantum rod materials while Mr. Mallem holds a green emitting QRLED sample.
HKUST’s Next-Gen QRLEDs Transform Smartphone & TVs with Ultra-Bright and Color-Rich Displays
Prof. Abhishek K. SRIVASTAVA’s research team has cracked a major challenge in display technology by inventing the world’s brightest and most energy efficient quantum rod LEDs (QRLEDs).
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Latest research led by Prof. Lu Mengqian (left) and Dr. Cheng Tat-Fan (right) from HKUST’s Department of Civil and Environmental Engineering reveals that as the climate warms, the increase in fast-propagating MJO events will heighten the risk of “subseasonal precipitation whiplashes,” – sudden swings between extremely dry and wet weather – as early as 2028.
HKUST Study Warns of Accelerating Climate Threat: “Precipitation Whiplashes” Could Strike as Early as 2028
Prof. LU Mengqian’s research team has revealed a looming climate crisis: the world could face heightened risks of “precipitation whiplashes” – violent swings between extreme droughts and floods – as early as 2028.
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Prof. Yang Hai (right), Chair Professor of the Department of Civil and Environmental Engineering at HKUST, and his PhD student Lu Hongliang (left) from the Intelligent Transportation Thrust at HKUST(GZ), draw inspiration from neuroscience, human cognitive processes, and ethics to enable self-driving cars to “think” like human drivers.
HKUST Engineering School Introduces Human-Like Driving Technology for Autonomous Vehicles, Reducing Overall Traffic Risk by 26.3%
Prof. YANG Hai’s research team has enhanced the safety of autonomous vehicles, reducing overall traffic risk by 26.3% and cutting potential harm to high-risk road users such as pedestrians and cyclists by an impressive 51.7%.
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Teaching & Learning
Discover Computer Engineering: Bridging Software and Hardware in Everyday Life
Discover Computer Engineering: Bridging Software and Hardware in Everyday Life
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Living History of Engineering
Igniting Innovation and Entrepreneurship
Igniting Innovation and Entrepreneurship
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Smart City
Less is More: Saving Manpower on Traffic Control While Improving Road Efficiency
Less is More: Saving Manpower on Traffic Control While Improving Road Efficiency
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SENG RANKINGS

Times Higher Education World University Rankings by Subject 2024

Times Higher Education World University Rankings by Subject 2023

Number 33 globally for Engineering in the Times Higher Education World University Rankings by Subject in 2025

QS World University Rankings by Subject 2024

QS_02

Number 43 globally for Engineering and Technology in the QS World University Rankings by Subject in 2025
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