Computer Science

By identifying the ideal manufacturing conditions, machine learning reduces the need for expensive and time-consuming experimentation.

Innovative approaches in cancer screening, drug development, and radioactive hazard protection are accelerating healthcare solutions.

Lingnan University welcomed a delegation from the University Grants Committee (UGC) on its Tuen Mun campus on 8 January, and presented its latest developments as a research-oriented liberal arts university comprehensive in arts and sciences. The delegation toured Lingnan’s latest teaching facilities and viewed their research, speaking at length with senior management, academic staff, and students.

Researchers at NIMS have created Research Data Express (RDE) to automate data processing and create AI-ready datasets for materials research.

The Philippines is recruiting its first National AI Team to compete with students from over 60 countries in the annual IOAI.

Large language models accelerate construction of materials property databases.

Professor Keisuke Fujii, a leading researcher in quantum science at The University of Osaka, has been named among the Quantum 100, a major global initiative celebrating the centennial of the development of quantum mechanics in 2025, proclaimed by the United Nations and led by UNESCO.

New simulator and computational tool generate realistic “virtual tissues” and map cell-to-cell “conversations” from spatial transcriptomics data. The tools could accelerate AI-driven discoveries in cancer, brain disorders and precision medicine by revealing which genes control how cells interact.

A joint team from UOsaka has uncovered the core principles of the loss maximization in rotor-driven gas-liquid two-phase flows. Performing numerical simulations on the supercomputer "SQUID", they identified the causes as direct collisions between the rotor and the liquid surface and pressure imbalances around the rotor. The findings suggest that, in a resonant state, the enhanced fluid motion is drawn toward the front of the rotor, and the flow instability is intensified behind it. The insights from this research would open the possibility of improving energy efficiency, enhancing reliability and lifespan, and providing new design guidelines for various industrial applications.

Lingnan University is pleased to announce that Mr John Lee, Chief Executive of the Hong Kong SAR and Chancellor of Lingnan University, has re-appointed Mr Andrew Yao Cho-fai as Chairman of the Council and an ex-officio member of the Court for a further term of three years with effect from 1 January 2026.

Lingnan University participated in the two-day 5th Asia Exhibition of Innovations and Inventions Hong Kong (AEII), and delivered an outstanding performance. Among more than 140 innovative research projects presented by experts and inventors worldwide, all nine of Lingnan's participating projects received awards, securing two gold, four silver, and three bronze medals. This marks a remarkable leap from last year, when the University made its debut and achieved one gold and two silver medals.

Lingnan University’s Teaching and Learning Centre is proud to advise that its innovative IDEAL-Gen.AI (Instructional Design Enhanced Active Learning through Generative Artificial Intelligence) platform has garnered international recognition by winning the Bronze Award in the “Best Use of AI” category at the prestigious QS Reimagine Education Awards and Conference 2025.

- Research team led by DGIST Professors Jaesok Yu, Hoejoon Kim, and Sang-hoon Lee clearly visualized blood vessels deep inside the human body with real-time 3D ultrasound. - 3D imaging of blood vessels up to 7cm deep without using contrast agents... Anticipating safer, more accurate diagnostic technology.

Prof Song Yongduan, Dean of the School of Data Science and Chair Professor of the Division of Industrial Data Science at Lingnan University, has been elected as a Foreign Member of the Chinese Academy of Engineering (CAE). The result was announced today (21 November), naming him one of the 24 newly elected foreign academicians for 2025. The honour recognises Prof Song’s outstanding contributions to control science and engineering at the international level.

On November 17th, Lingnan University’s Teaching and Learning Centre (TLC) and The University of Sydney’s Educational Innovation (EI) Team co-hosted a pivotal seminar titled “The Transformation of Global Higher Education Learning Pedagogies: Harnessing the Innovation and Technology Revolution”. With an attendance of approximately 300 participants, both in person and online, the event highlighted the urgency to rethink and revolutionise educational practices to adapt to the AI era.

Untangling cosmic knots, Samurai jellyfish, Controlling rogue antibodies, Search for anti-ulcer vaccine & Metal-recovering yeast. Plus next SciCom coffee talk on experiences in science journalism in the AI era and WHO guide to reporting on non communicable diseases. Read all in the latest Editor's Choice.

Three distinguished scholars from Lingnan University have been named Highly Cited Researchers 2025 in the annual list compiled by leading global analytics company in academia and research Clarivate. The list is of exceptional researchers who have demonstrated significant and wide-ranging influence in their respective fields through the publication of multiple highly cited papers reflecting their substantial contributions to advancing innovation and addressing global challenges.

The University of Osaka D3 Center and NEC Corporation (NEC; TSE: 6701) have jointly commenced a demonstration aimed at the application of a wide-area distributed campus AI processing platform that enables on-demand use of GPU’s from compute servers. This demonstration will leverage NEC's "ExpEther," a technology that transmits signals from IT equipment with high reliability and low latency, to build a high-performance AI processing platform that can connect and disconnect compute servers and GPUs on-demand, even when they are in different buildings across campus.

Dr Rodrigo emphasized that AI in education must be grounded in culture—responsive to students’ lived experiences, classroom realities, and national contexts.

“The Development and Testing of a Virtual Patient for Philippine Medical Education” was presented in front of policymakers, industry professionals, and leaders from academia on the second day of the two-day conference.

The use of drones in search and rescue, patrolling, and environmental monitoring has become increasingly common. However, their performance is still constrained by complex environmental factors such as harsh weather conditions, and Prof Sam Kwong Tak-wu, a leading scholar in artificial intelligence (AI), Associate Vice-President (Strategic Research), Dean of the School of Graduate Studies and J.K. Lee Chair Professor of Computational Intelligence at Lingnan University in Hong Kong, and his research team have conducted a pioneering project titled “Key Technologies for Intelligent Enhancement and Content Understanding in Constrained Environments”.

Today, 1 November, Lingnan University held its Information Day “Your Future Begins Now” for undergraduate admissions, introducing a new flexible arrangement offering more tailored study pathways for Joint University Programmes Admissions System (JUPAS) applicants with diverse talents. The hybrid event featured over 70 interactive sessions with the latest information on programmes, admissions requirements, and study guidance, so as to familiarise secondary school students and parents with campus life. Highlights included AI-focused lectures presented by the Departments of Chinese, Philosophy, and Translation, and Lingnan scholars also demonstrated how artificial intelligence (AI) proposes innovative approaches on traditional Chinese culture, ethical decision-making, and language learning.

Researchers from SANKEN at The University of Osaka have successfully developed a groundbreaking “self-evolving” edge AI technology that enables real-time learning and forecasting capabilities directly within compact devices. This innovation, termed MicroAdapt, achieves unprecedented speed and accuracy. It processes data up to 100,000 times faster and achieves up to 60% higher accuracy compared to conventional state-of-the-art deep learning methods. This achievement represents a major advance toward next-generation real-time AI applications across manufacturing, automotive IoT, and medical wearables, addressing critical limitations of existing cloud-dependent AI.

The regulatory directions of Agentic AI systems and Open-Source AI have become hot topics globally. In light of this, Lingnan University and the University of Bologna in Italy co-hosted the 2nd International Workshop on Technologies for AI Governance (TAIG) from 25 to 26 October, as part of the 28th European Conference on Artificial Intelligence (ECAI 2025). The workshop brought together numerous world-leading experts, academics, and policymakers, aiming to enhance governance in areas such as AI risk assessment, accountability tracking, and safety assurance, and to foster cross-regional exchange on AI governance between Asia and Europe. The two-day event attracted over 150 academics and students.

Lingnan University and Shenzhen Das Intellitech Company Limited (Das Intellitech), a leading company specialising in the research and application of Internet of Things (IoT) technologies, signed a Memorandum of Understanding (MoU) today, 23 October. This collaboration will use artificial intelligence (AI), big data, and IoT technologies to advance smart building and low-carbon development initiatives. The two parties will establish a pre-eminent international research laboratory to promote academia-industry-research collaboration, green innovation, and the development of smart city solutions in the Guangdong-Hong Kong-Macau Greater Bay Area, particularly in sustainable carbon-neutral technologies.

A collaboration team of researchers from the Nano Life Science Institute (WPI-NanoLSI), Kanazawa University, the Institute of Transformative Bio-Molecules (WPI-ITbM), Graduate School of Science at Nagoya University, and the RIKEN Center for Computational Science (R-CCS) reports in ACS Nano an integrative modeling workflow to understand with atomistic precision biomolecular dynamics from high-speed atomic force microscopy experiments.

A research team led by Associate Professor Tomoya Kataoka at Ehime University, in collaboration with Yachiyo Engineering Co., Ltd., Nippon Koei Co., Ltd., and Wageningen University’s Associate Professor Tim van Emmerik, has developed AI software using deep learning to detect, classify, and track plastics flowing in rivers. The system automatically estimates transport volumes from video data, supporting continuous monitoring and advancing understanding of land-to-sea plastic transport. The findings appear in Water Research.

Lingnan University continues to participate in annual innovation and technology event the InnoCarnival 2025 (the Carnival), organised by the Innovation and Technology Commission (ITC). As one of the programme partners, Lingnan University is showcasing eight innovative "Smart Healthy City" research projects, integrating artificial intelligence (AI) and interdisciplinary research. These projects cover healthcare, transportation, sports training, environmental monitoring, and elderly care, and demonstrate how Lingnan’s innovation teams address societal needs and advancing smart city development through technology.