News & Stories

The Hong Kong University of Science and Technology (HKUST) announced today that  its School of Engineering researchers have developed Mixture of Modality Experts (MOME), a groundbreaking large artificial intelligence (AI) model for non-invasive breast cancer diagnosis. Trained on the China’s largest multiparametric MRI (mpMRI) breast cancer dataset, MOME achieves expert-level accuracy in classifying tumor malignancy, comparable to that of radiologists with five+years of experience. This innovative solution is now undergoing extensive clinical validation across more than ten hospitals and partner institutions, including Shenzhen People’s Hospital, the Guangzhou First Municipal People's Hospital, and Yunnan Cancer Center, to validate its effectiveness and ensure real-world applicability. Harnesses China’s largest mpMRI Dataset

A Hong Kong University of Science and Technology (HKUST) research team led by Prof. SUN Jianwei and Prof. LIN Zhenyang from the Department of Chemistry has developed a catalytic enantioselective type II [5 + 2] cycloaddition method to address the challenges of synthesizing chiral bridged polycyclic structures, particularly those with a bridged seven-membered subunit. This innovative approach utilizes 3-oxidopyrylium ylides to create the desired complex shapes, paving the way for more applications in the rapid synthesis and diversification of other valuable complex molecules, including important natural products and drug molecules. Chiral bridged polycyclic structures, particularly those bearing a bridged seven-membered subunit, represent a complex and intriguing molecular architecture found in many natural and biologically significant compounds. However, synthesizing these structures has posed substantial challenges for chemists.

Researchers at the School of Engineering of the Hong Kong University of Science and Technology (HKUST) have developed a novel elastic alloy called Ti₇₈Nb₂₂, which achieves remarkable efficiency for solid-state heat pumping and exhibits a reversible temperature change (ΔT) ability that is 20 times greater than that of conventional metals when stretched or compressed, offering a promising green alternative to traditional vapor-compression heating and cooling technologies.

Boracycles are important functional scaffolds, finding increasing applications in catalysis, synthesis, materials science, and pharmaceuticals. However, current studies predominantly focus on three-, five-, and six-membered boracycles, leaving four-membered boracycles largely unexplored. A research team led by Prof. QUAN Yangjian and Prof. LIN Zhenyang from the Department of Chemistry at the Hong Kong University of Science and Technology (HKUST), in collaboration with Prof. LYU Hairong from The Chinese University of Hong Kong (CUHK), has made a breakthrough in developing an efficient synthetic approach to four-membered boracycles. This advancement enables the facile synthesis of other previously inaccessible boracycles, which may lead to valuable applications.

The Hong Kong University of Science and Technology (HKUST) announced today that a research team from its School of Engineering has developed a groundbreaking computational model to study the movement of granular materials such as soils, sands and powders. By integrating the dynamic interactions among particles, air and water phases, this state-of-the-art system can accurately predict landslides, improve irrigation and oil extraction systems, and enhance food and drug production processes.  

Echoing the HKSAR Government’s strategy to develop artificial intelligence (AI) as a core industry, the Hong Kong University of Science and Technology (HKUST) today announced the establishment of the Von Neumann Institute (VNI). This pioneering research institute is dedicated to fostering interdisciplinary collaboration by integrating embodied intelligence, generative AI, and advanced supercomputing to drive new quality productive forces in the evolving era of AI.

HKUST’s Engineering Commons, opened in 2013, has been the School of Engineering’s “family room” that enhances interaction of the engineering community and enables the display of top-notch research of its faculty members. Located at a key intersection of the campus, the Engineering Commons was renovated in 2024 after being used for more than a decade. As the Commons officially reopened in October 2024, it features an array of new research applications that are most relevant to campus life, including AIoT sensing research led by Prof. Gary CHAN Shueng-Han of the Department of Computer Science and Engineering.

A collaborative research team from the Hong Kong University of Science and Technology (HKUST) and the Hong Kong Polytechnic University (PolyU) has developed an innovative laminated interface microstructure that enhances the stability and photoelectric conversion efficiency of inverted perovskite solar cells.