Skip to main content Start main content

News

Photo 1

PolyU and China Tower sign strategic cooperation agreement to advance innovation in low-altitude economy and next-generation networks

The Hong Kong Polytechnic University (PolyU) and China Tower Corporation Limited (China Tower) have signed a strategic cooperation agreement to advance key research areas, including the low-altitude economy and next-generation network technologies. By fostering in-depth cooperation to promote technological innovation and translate research outcomes, this collaboration will accelerate the new quality productive forces in these pivotal sectors. Witnessed by Prof. Jin-Guang TENG, PolyU President and Mr ZHANG Zhiyong, Chairman of China Tower, the agreement was signed by Prof. Christopher CHAO, PolyU Vice President (Research and Innovation) and Mr CHEN Li, General Manager of China Tower, with the aim of establishing a robust and enduring framework for collaborative research and innovation, talent nurturing, and the translation of research outcomes. Prof. Jin-Guang Teng underscored PolyU’s leading role in low-altitude economy research, marked by the establishment last year of the Research Centre for Low Altitude Economy and the launch in the new academic year of a Master’s programme in Low Altitude Economy, along with the University’s internationally recognised expertise in data science, artificial intelligence and computer science. This partnership will integrate the University’s academic strengths and China Tower’s industry leadership to drive impactful research, build innovative platforms, facilitate effective technology transfer and cultivate highly skilled professionals, thereby contributing to the Nation’s high-quality development goals. Mr Zhang Zhiyong emphasised China Tower’s commitment to innovation-driven growth as the world’s largest telecommunications infrastructure service provider. By sharing resources and pursuing shared goals, China Tower aims to enhance its core competitiveness. This collaboration with PolyU will leverage the strengths of both parties to create a mutually beneficial partnership. With a focus on the low-altitude economy and next-generation networks, the cooperation seeks to generate strong synergy and ensure the effective implementation of this agreement through consistent communication and exchange. The collaboration marks a new chapter in the partnership between PolyU and China Tower. By combining efforts, the parties aim to achieve mutually beneficial outcomes and make contributions to new quality productive forces, advancing technological innovation in the Guangdong-Hong Kong-Macao Greater Bay Area and beyond.

21 Mar, 2025

Partnership

202513H

Integrating machine learning with total network controllability analysis to identify therapeutic targets for cancer treatment

By analysing huge amounts of biological data, the use of machine learning accelerates the identification of critical control hubs that are sensitive to changes in the network structure of the total controllability network, thereby having potential as diagnostic biomarkers and therapeutic targets for disease and cancer treatment.    Mutations in genes are the primary cause of cancer. Cancer research has mainly focused on identifying cancer-driver genes (CDGs) that may trigger tumorigenesis or promote aberrant cell growth. Modern large-scale sequencing of human cancers aims to comprehensively discover mutated genes that confer a selective advantage to cancer cells. However, there is a lack of a widely accepted gold standard for CDGs, as cancer is highly heterogeneous, and different cancers are driven by distinct sets of genetic mutations.   A research team led by Prof. Weixiong ZHANG, Chair Professor of Systems Biology and Artificial Intelligence in the Department of Health Technology and Informatics, Hong Kong Global STEM Scholar, Associate Director of PolyU Academy for Interdisciplinary Research (PAIR) at the Hong Kong Polytechnic University (PolyU), took a different approach, in which they identify genes that maintain cancerous cell states, which they termed “cancer-keeper genes” (CKGs). Unlike driver genes, whose mutations directly contribute to cancer initiation and progression, keeper genes are essential for maintaining cellular homeostasis and survival. Interventions targeting CKGs may terminate or prevent aberrant cell differentiation and proliferation, making them ideal biomarkers for diagnosis and therapeutic targets. The research, titled “Cancer-keeper genes as therapeutic targets” was published in iScience.  With the aid of machine learning in developing a gene regulatory network (GRN), the research team extended the theory of total network controllability and developed an efficient algorithm to identify CKGs. The concept is grounded in control theory and is particularly relevant in systems represented by graphs, where nodes represent entities and edges represent interactions. A network is considered totally controllable if it is possible to manipulate the states of all nodes using a finite set of control inputs applied to specific nodes. It has been used in electrical engineering to characterise power grids and transportation networks.  In the context of biological systems, this analysis helps identify key components, or “control hubs”, which are crucial to influencing the behaviour of the entire network, making them ideal candidates for therapeutic interventions. The research team constructed a GRN on protein interaction data and signalling pathway information describing regulatory relationships among genes. The network consists of cancer-related genes (as seed nodes) and edges capturing their interactions to transverse the ten important signalling pathways selected from five well-curated, disease- and cancer-related pathway databases. In the study, the research team considered control hubs candidates for abnormal cellular CKG, noting that some control hubs could be more sensitive and vulnerable to external perturbations than others. They focused on those control hubs that could be turned into non-control hubs when a single edge is removed from the network as a form of perturbation. Such sensitive CKGs (sCKGs) are considered better therapeutic targets. Machine learning techniques are applied to explore vast amounts of genetic data to construct biological networks and identify patterns and relationships in the networks that may not be immediately obvious. A novel polynomial-time algorithm was developed to identify all control hubs without the need to compute all control schemes of a network. The algorithm first identifies the head and tail nodes of the control paths of all control schemes and subsequently identifies the control hubs. This analysis helps identify the nodes in a network that are crucial for controlling the system’s behaviour, making them suitable candidates for therapeutic targets.   The research team applied the CKG approach and constructed a GRN for bladder cancer (BLCA), which consists of 7,030 nodes (genes) and 103,360 directed edges. By a machine learning approach, 660 nodes were identified as control hubs (CKGs), of which only 173 nodes were classified as sCKGs. When mapping with a network that illustrates the interactions between proteins within human cells, 35 sCKGs were considered potential therapeutic targets. Remarkably, all genes involved in the cell-cycle and p53 pathways in BLCA were identified as CKGs. Experiments on cell lines and a mouse model confirmed that six sensitive CKGs effectively suppressed cancer cell growth.   The regulatory network constructed in the study is a pan-cancer gene regulatory network suitable for applying network controllability. In addition to using seed genes specific to one type of cancer, the network could be modified to target another by removing incompatible genes and interactions detected under different conditions. The method using total network controllability analysis could also be extended to identify the control hubs of other diseases, for example, the SARS-CoV-2 infectious disease.   Source: PolyU Innovation Digest  

20 Mar, 2025

Research and Innovation

20250317  Smart Traffic Fund Prof Pai ZHENG02

PolyU project develops a Vision-Language Models for driving assistant, supported by Smart Traffic Fund

In complex driving scenarios, information overload can lead to distractions and delayed reactions. The introduction of Vision-Language models (VLMs) presents new possibilities for advanced driver assistance systems (ADAS). Led by Prof. Pai ZHENG, Associate Professor of the Department of Industrial and Systems Engineering of The Hong Kong Polytechnic University (PolyU), the project titled “Develop a Vision-Language Model-based Smart Driving Assistant for Enhancing Safety and Convenience of Motorists” has successfully secured over HK$5 million for a duration of 24 months from the Smart Traffic Fund.            This project aims to develop a smart driving assistant for vehicle cockpits leveraging vision-language models. The objective is to improve driver safety and convenience by analyzing the environment in real time and drivers’ needs to offer appropriate interactive strategy. Prof. ZHENG said, “Besides existing ADAS, our approach offers personalised driving tips to enhance the user experience. The system will collect and analyse personalised interaction data from users, including interactive language descriptions and visual environment information acquired during user participation experiments. This system will dynamically retrieve and generate customised driving strategies based on historical and real-time data, catering to the habits and preferences of individual drivers.” PolyU has long been committed to the research and application of vehicle-related innovation and technology, with a total of 23 projects receiving grants from the Smart Traffic Fund to date. The Smart Traffic Fund provides funding support to local organisations and enterprises for conducting research and applying innovation and technology to enhance commuting convenience, enhance the efficiency of the road network or road space, and improve driving safety.

19 Mar, 2025

Awards and Achievements

HK01 - 02

The PolyU Industrial Centre advancing interdisciplinary research to drive innovation for societal benefits

With a history spanning nearly 50 years, the Industrial Centre (IC) at The Hong Kong Polytechnic University (PolyU) was established in 1976 and is dedicated to advancing innovative research while providing comprehensive R&D and production support. At its core lies the Artificial Intelligence Robot Laboratory (AIR Lab), a "Creativity Accelerator" focused on AI, collaborative robotics, and digital transformation. The AIR Lab supports over 15 research teams and units, aiming to assist scientists and researchers in addressing complex engineering challenges. It offers an open scientific research environment that nurtures the next generation of research talents and encourages interdisciplinary collaboration.  According to Dr WAI Hon-wah, Director of the IC, the AIR Lab develops a wide range of applications across mechanics, engineering, electronics, computing, business, tourism, medical care, culture, creativity, and more. They have garnered international recognition, including an award at the Asia Exhibition of Innovations and Inventions for an autonomous-legged robotic dog that provides navigation support for the blind, demonstrating how technology can enhance living standards. Furthermore, the AIR Lab has collaborated with the Department of Biomedical Engineering of PolyU, resulting in a breakthrough in the development of rehabilitation devices. They have created a multimodal robot to aid stroke patients in improving the motor function of their lower limb and walking ability. PolyU is committed to fostering creative interaction and driving societal progress through ongoing innovation and various research endeavors. The IC is at the forefront of innovation, transforming scientific research results into practical applications that benefit Hong Kong society.  

17 Mar, 2025

Research and Innovation

image-2000x1050 (19)

Media interview: PolyU’s innovative cognitive stimulation programme helps visually impaired elderly enhance their social skills

Visually impaired individuals primarily rely on auditory and tactile information processing, and that insufficient social interaction and stimulation can lead to passivity and reduced communication. To address this need, the Department of Rehabilitation Sciences of the Hong Kong Polytechnic University (PolyU) has collaborated with The Hong Kong Society for the Blind and The Kowloon Motor Bus Co. (1933) Ltd (KMB) to launch a project named “A Trip of Memory – An Innovative Cognitive Stimulation Training Using Good Old Times on Bus for Visually Impaired Elderly.” This project leverages the familiar environment of a bus journey, integrating storytelling and interactive activities to enhance social engagement, verbal communication skills, and executive function, ultimately promoting greater social integration for visually impaired elders. The Hong Kong Society for the Blind upholds a people-oriented service philosophy and promotes diversity and inclusion to ensure that visually impaired individuals and the wider community can benefit together. In the project's initial phase, KMB generously contributed repurposed bus stop signage, cash boxes, and seats, serving as tactile and visually stimulating props for storytelling and interactive activities. Intern students from the Department of Rehabilitation Sciences of PolyU facilitated group sessions, guiding visually impaired elderly participants through engaging activities to enhance their social skills and verbal expression. These activities not only helped participants reminisce about past experiences but also offered valuable cognitive stimulation through touch and hearing, fostering social connections and combating cognitive decline. In a media interview, Mr Tony Wong, Assistant Professor of Practice of the Department of Rehabilitation Sciences of PolyU, highlighted the project’s remarkable positive impact. Participants experienced significant improvement in cognitive ability and language expression while reliving fond memories in a pleasant environment. This collaborative project exceeded expectations by helping visually impaired elders, creatively repurposing discarded bus materials, and fostering a stronger sense of community. The Hong Kong Society for the Blind expressed gratitude to PolyU and KMB, emphasising the vital role of interdisciplinary collaboration in the project's continued success. PolyU is dedicated to supporting visually impaired elders through innovative cognitive and social rehabilitation programmes.  

13 Mar, 2025

Research and Innovation

20250310-France HK JRS_V1-02A

PolyU two projects awarded PROCORE-France / Hong Kong Joint Research Scheme 2024/25

The Hong Kong Polytechnic University (PolyU) is committed to establishing global networks to effectively advance its education and research development while enhancing academic and cultural exchanges. PolyU two projects have received support from the PROCORE - France/Hong Kong Joint Research Scheme 2024/25. Led by scholars from the Department of Building and Real Estate and the Department of Management and Marketing, one project will explore non-destructive techniques to optimise surface moisture for self-enhanced 3D printable materials. Another awarded project will focus on promoting dietary environmentalism. Both projects will collaborate with French experts for 2 years. The two PolyU projects are: Hong Kong Principal Investigator French Principal Investigator Project Title Total amount awarded by RGC Prof. WENG Yiwei, Assistant Professor of the Department of Building and Real Estate Prof. Nicolas Roussel / Université Gustave Eiffel Development of non-destructive technique to optimize surface moisture for self-enhanced 3D printable materials HK$90,000 Prof Savani Krishna, Professor of the Department of Management and Marketing Prof. Maja Becker / University of Toulouse Invoking Culturally Relevant Frames to Motivate Dietary Environmentalism HK$61,200 Introduced in 1998 by the Research Grants Council (RGC) and the Consulate General of France (CGF) in Hong Kong, the PROCORE-France/Hong Kong Joint Research Scheme aims to promote research collaboration between Hong Kong and France by providing researchers in the two locations with one-year and two-year travel grants.

12 Mar, 2025

Awards and Achievements

Photo 1

PolyU unveils comprehensive zeolite structures, advancing development of catalysts for petrochemical and renewable energy

Zeolites, crystalline materials widely used in the petrochemical industry, serve as pivotal catalysts in the production of fine chemicals, with aluminium being the source of active sites within zeolite structures. A research team from The Hong Kong Polytechnic University (PolyU) has revealed the precise location of aluminium atoms in the zeolite framework. This discovery could facilitate the design of more efficient and stable catalysts, aimed at increasing the yield of petrochemical products, achieving efficient renewable energy storage, and controlling air pollution. This advancement will further promote the application of zeolites in relevant fields. The findings have been published in the international journal Science. The research is led by Prof. Shik Chi Edman TSANG, Chair Professor of Catalysis and Materials of the PolyU Department of Applied Biology and Chemical Technology. He is joined by Prof. Tsz Woon Benedict LO, Associate Professor, along with first author Dr Guangchao LI, Research Assistant Professor, both from the same department. The team collaborated with researchers from the University of Oxford and the Innovation Academy for Precision Measurement Science and Technology of the Chinese Academy of Sciences. The unique properties of zeolites, characterised by their well-defined microporous structure, high surface area, and tuneable acidity and basicity, make them indispensable in petrochemical refining, environmental catalysis and fine chemical synthesis. The distribution of substitutional aluminium atoms within the zeolite framework influences the geometry of molecular adsorbates, catalytic activity, and shape and size selectivity. However, accurately locating these aluminium atoms and understanding their impact on the catalytic behaviour of zeolites has posed challenges for the scientific community for decades. In their research, the team focused on both lab-synthesised and commercial H-ZSM-5 zeolites to bridge the gap between fundamental research and practical application, optimising H-ZSM-5 for advanced catalytic processes. Notably, the team introduced an innovative approach that integrates synchrotron resonant soft X-ray diffraction — a powerful tool for studying atomic structure — with probe-assisted solid-state nuclear magnetic resonance (SSNMR) and molecular adsorption methods. This integration revealed the interactions of molecules at the active sites of aluminium atoms. Ultimately, the team has achieved a breakthrough in locating single and pairs of aluminium atoms in a commercial H-ZSM-5 zeolite. The research findings will facilitate the development of more efficient and selective catalysts, which have wide-reaching implications beyond petrochemicals, offering potential benefits for industries such as renewable energy and pollution control. Reducing energy consumption, this can, in turn, promote sustainability and minimises environmental impact. With regard to petrochemical refining, these catalysts can improve fuel yield and quality, particularly for products like gasoline and olefins, simultaneously lowering energy usage. In the realm of environmental catalysis, they contribute to cleaner air and mitigating air pollution. For renewable energy and biofuels, these innovations advance hydrogen storage and utilisation processes, which are crucial for the development of a hydrogen economy. Prof. Edman Tsang said, “This discovery is a game-changer as it precisely identifies the location of aluminium atoms in the zeolite framework and how they are positioned, providing for the first time a structural elucidation of zeolite frameworks. This breakthrough allows scientists to design more efficient and targeted zeolite catalysts, making the chemical process faster, more energy-efficient and more environmentally friendly.” Prof. Benedict Lo said, “We explored and combined various techniques to achieve a multidimensional view of the distribution of aluminium atoms and their interaction with adsorbed molecules, leading to insights into crucial reaction mechanisms. This provides scientists with a deeper understanding of the structure of zeolites.” Dr Guangchao Li said, “We will develop further novel synthesis methods to precisely control the distribution and concentration of aluminium atoms, as well as their pore architectures in zeolites. This advancement will enable the design of catalysts with optimised activity, selectivity and stability for specific industrial applications.” Looking ahead, the team will work closely with industry partners to translate research outcomes into commercial applications. By leveraging the extensive networks and research strengths of the PolyU-Daya Bay Technology and Innovation Research Institute, which focuses on green chemistry and sustainable catalysis, the team will collaborate with domestic petrochemical companies to promote translational research and accelerate the commercialisation of advanced zeolite catalysts. This effort is bolstered by state-of-the-art PolyU facilities, including the only SSNMR facility in Hong Kong and the soon to be introduced first Dynamic Nuclear Polarisation SSNMR (DNP-SSNMR) spectrometer in the Greater Bay Area and southern China. These resources strengthen the team’s research capabilities and facilitate the advancement of their research efforts.

11 Mar, 2025

Research and Innovation

2025UFL

PolyU scholar’s innovative R&D to reduce hypervelocity impact risk from space debris, supported by Innovation and Technology Fund

Hypervelocity impacts from space debris pose significant risks to spacecraft and satellites in outer space. To address this challenge, Prof. SU Zhongqing, Head of the Department of Mechanical Engineering and Chair Professor of Intelligent Structures and Systems at the Hong Kong Polytechnic University (PolyU), as well as a key member of the Research Centre for Deep Space Explorations, along with his research team, has developed an innovative sensing technology to efficiently evaluate the health of space systems under hypervelocity impact of space junks. In recognition of this translational research and development (R&D) work, he has been awarded the Innovation and Technology Fund (ITF) (Special Call for Aerospace Technology) by the Innovation and Technology Commission (ITC). Led by Prof. SU, the project “A ‘Totally-Additive-Manufacturing’-driven New Sensing Technique for Rapid Health Evaluation of Space Systems Under Hypervelocity Impact of Orbital Junks” has received HK4.47 million funding support from ITF - Innovation and Technology Support Programme (ITF-ITSP) for a period of three years. The project is collaborated with co-investigators from Beijing Institute of Spacecraft Environment Engineering of China Academy of Space Technology and Harbin Institute of Technology (Shenzhen). Over the past decade, human exploration of outer space has advanced at an unprecedented pace. Consequently, near-Earth space, home to numerous satellites and space stations, has become increasingly cluttered with man-made orbital debris and micrometeoroids, commonly known as space junks. Despite their small size, they travel at extremely high velocities, potentially causing the risk of hypervelocity impact (HVI) at speeds exceeding 4km/s. Prof. Siu said, “Therefore, it is highly imperative to develop effective sensing approaches to detect HVI and evaluate system degradation after HVI attacks, thereby enhancing the resilience and survivability of damaged spacecraft. This ITF-ITSP project will introduce an innovative structural health monitoring (SHM) framework, consisting of a compact, all-in-one system and a new sensing network coating. They are all readily available for immediate applications to orbital spacecraft, such as satellites and space stations.” Notably, the successful installation of this system and implementation of the technology on spacecraft will mitigate the risk of HVI from space debris to communication satellites and space stations. Additionally, it will retrofit existing safety design philosophy, enhance serviceability, and extend the lifespan of long-service space systems. ITF, administered by the ITC, aims to increase the added value, productivity and competitiveness of economic activities. ITSP was introduced to encourage universities funded by the University Grants Committee to collaborate with leading research institutes worldwide to conduct more theme-based interdisciplinary and translational R&D work in focused technology areas.  

10 Mar, 2025

Awards and Achievements

20250305 - Public Policy Research Funding Scheme-02

PolyU four projects receive support from the Public Policy Research Funding Scheme 2024-25

The Hong Kong Polytechnic University (PolyU) is dedicated to advancing public policy research,  leveraging its expertise to make a positive impact on society. Four PolyU projects have secured support from the Public Policy Research Funding Scheme (PPRFS) in 2024/25, offering innovative insights into livelihood issues, environmental protection, cooperation with the Mainland, and land and housing challenges. The four projects, led by experts from the Department of Applied Social Sciences, Department of Mechanical Engineering, and Department of Building and Real Estate, have collectively received approximately HK$1.93 million. They address a diverse range of societal topics, including income inequality, sustainable aviation fuel, green infrastructure financing, and the circular economy. The four projects are (listed in order of approval): Principal Investigator Project Title Funding Duration Prof. WONG Yee Hang, Mathew Associate Professor of the Department of Applied Social Sciences Understanding Hong Kong People’s Acceptance of Income Inequality and Preferences of Policy Responses HK$488,750 12 months Prof. CHENG Song Assistant Professor of the Department of Mechanical Engineering Implementing Carbon-free Air Travel in Hong Kong: What Fidelity and Resiliency are Needed in Sustainable Aviation Fuels? HK$882,050 18 months Prof. SHEN Jianfu, Jeff Assistant Professor of the Department of Building and Real Estate Climate Policy Risk and Green Infrastructure Financing in the Belt and Road Initiative: Policy Implications for Infrastructure Loan Securitisation HK$503,470 12 months Prof. SHEN Jianfu, Jeff Assistant Professor of the Department of Building and Real Estate Developing a MiC Data Platform for Reusable Modules in the Transitional Housing Projects: Towards a Circular Economy HK$852,150 12 months Administered by the HKSAR Government’s Chief Executive’s Policy Unit, the PPRFS aims to facilitate public policy discussions and enhance policy formulation to meet the needs of society. Research studies supported by the scheme are expected to inform the Government’s policy-making process, drive changes, keep up with national development and international trends, and contribute to policy development. In addition, led by Prof. Mike LAI Kee-hung, Associate Dean (Academic Support) of the PolyU’s Faculty of Business, Chair Professor of Shipping and Logistics, and Interim Head of the Department of Logistics and Maritime Studies, the project “Policy Recommendations on Uplifting Hong Kong’s Status as an International Shipping Centre through Development Opportunities in the Greater Bay Area” has received more than HK$2 million funding support from the Strategic Public Policy Research Funding Scheme 2024/25. 

7 Mar, 2025

Awards and Achievements

20250305 - Mike Lai HK01 copy

Media interview: PolyU scholars share insights into Responsible Shipping and GBA smart ports

The shipping industry stands as a vital pillar of global trade, handling 90% of trade volume. However, as international trade grows, the detrimental impacts of shipping activities on the environment, resources, society and lifestyles are increasingly alarming. Recognising this challenge, the United Nations has designated "Responsible Consumption and Production" as one of the Sustainable Development Goals, calling for global action to promote responsible consumption and production, enhance resource efficiency and develop sustainable infrastructure. Prof. Mike LAI Kee-hung, Associate Dean (Academic Support) of the Faculty of Business, Chair Professor of Shipping and Logistics, and Interim Head of the Department of Logistics and Maritime Studies of The Hong Kong Polytechnic University (PolyU), along with Dr John Yu, consultant of the Shipping Research Centre of PolyU, contributed to media articles sharing their insights on sustainable development in the shipping industry. They introduced the "7R" framework for Responsible Shipping, which encompasses responsible policies and procedures, documentation, procurement, services and products, recycling, design and compliance, and reporting. This framework serves as a practical guide for shipping companies to integrate economic, environmental and social considerations into their operations, fostering the sustainable growth of global trade. In addition, the global port industry is undergoing a digital transformation, with the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) at the forefront of smart ports development. Shenzhen's Mawan Port has become a national leader in 5G+ autonomous driving applications, demonstrating significant improvements in operational efficiency. The Guangzhou Nansha Port Phase IV project will further expand capacity. However, the advancement of smart ports in the GBA faces challenges, such as inter-port coordination, technology adoption, and a shortage of skilled labour. To drive smart port development, Prof. Lai suggested building consensus, establishing a coordinated development mechanism, optimising the policy support system and strengthening talent training. Looking ahead, he anticipated the critical role of technological progress in achieving sustainable shipping, meeting industry demand for sustainable supply chains, improving port and community environments, and fostering global trade while protecting the environment. Recently, Prof. Lai’s project “Policy Recommendations on Uplifting Hong Kong’s Status as an International Shipping Center Through Development Opportunities in the Greater Bay Area” has received funding support from the Strategic Public Policy Research Funding Scheme (SPPRFS) 2024/25 for a period of 30 months.  

6 Mar, 2025

Research and Innovation

Your browser is not the latest version. If you continue to browse our website, Some pages may not function properly.

You are recommended to upgrade to a newer version or switch to a different browser. A list of the web browsers that we support can be found here