Big Data

Lingnan University proudly hosted its signature fundraising event, the Bright Future Charitable Foundation presents: Lingnan University Gala Dinner, held last night (18 March), and raised over HK$3 million. All proceeds will be used to enhance the University’s research facilities, supporting infrastructure, and cutting-edge research projects.

This invited publication highlights the contributions of Distinguished Professor Hao Li to AI and materials science – focusing on their original concept for a digital materials ecosystem.

The Lingnan University Institute for Advanced Study (LUIAS) hosted a conferment ceremony today, 10 March, to honour Prof Guillermo Sapiro, Augustine Family Professor in Electrical and Computer Engineering at Princeton University and Distinguished Engineer at Apple, Inc. He was formally appointed a Lingnan Fellow in recognition of his remarkable academic achievements and significant contributions in the field.

Lingnan University is proud to announce that Prof Leng Mingming, Dean of the Faculty of Business and Chair Professor of Operations and Risk Management, has been named the recipient of the Beta Gamma Sigma (BGS)’s 2026 Dean of the Year Award. Prof Leng was the sole winner selected from over 640 universities across 39 countries and regions. The award is presented annually to one outstanding dean who has demonstrated exceptional leadership in business education and consistent support for students. Prof Leng will attend the award ceremony in Seattle this April.

The Ateneo Laboratory for Intelligent Visual Environments (ALIVE) is eager to co-develop machine learning solutions with leading experts from various disciplines.

Kelli canines, Healthy fats in rice, Mercury and Earth in chorus, AI lights up materials discovery, Radiation detection with phones and Down to one. Read all in the latest Editor's Choice. Plus Women's Month 2026.

Lingnan University announced today (4 March) that it will officially launch the Samuel C.C. Ting Elite Class (CCT Class) in the 2026/27 academic year. The Class, bearing the name of Nobel Prize-winning physicist Professor Samuel C.C. Ting, will select a group of top-performing undergraduate students from among recipients of the University Entrance Scholarships for comprehensive learning opportunities.

Lingnan University welcomed nearly 200 higher education leaders from all over the world at its Tuen Mun campus today (27 February). The visit was one of the main activities of the 2026 Asia-Pacific Association for International Education (APAIE) Conference and Exhibition. Through campus tours and interactive exchanges, Lingnan showed its internationalised learning environment and innovative teaching facilities, actively highlighting Hong Kong’s unique advantages as an international higher education hub. The University also promoted the “Study in Hong Kong” brand, which aims to attract more non-local students to study and work in the city. Lingnan’s senior management, academic staff, and students explored opportunities to work with representatives of student exchange programmes, research partnerships, and talent recruitment.

Reflecting on 2025, Lingnan University reached new heights with a series of “No. 1 in Hong Kong SAR” and “Only in Hong Kong SAR” distinctions across major benchmarks, reaffirming its leadership in teaching and research excellence and the transformative power of its whole-person education. The following highlights showcase Lingnan’s defining achievements in 2025 that secured its “Hong Kong SAR First” and “Hong Kong SAR Only” status.

A new tool offers researchers a better way of exploring and understanding catalyst data.

DGIST is creating AI that can physically collaborate with people, truly personalised healthcare, and quantum sensors which will perceive the world in entirely new ways.

The largest ever reported database of dielectric material properties could speed up development of electronics like smartphones and energy storage systems.

Researchers have developed a machine learning approach to predict the mechanical behaviour of new alloys, offering potential savings in both costs and experiment time.

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.

Large language models accelerate construction of materials property databases.

In order to understand Hong Kong citizens' views on the development of gerontechnology, Lingnan University recently held a public opinion survey. The results show that gerontechnology products related to healthcare and exercise are of the greatest interest to the public, although about 60 per cent of respondents find the cost of such products prohibitively high, which presents a barrier to purchase. At the same time, over 90 per cent hope that the government will increase support for elderly service organisations to adopt gerontechnology, and for research and development. This would stimulate growth and the silver economy, ultimately benefiting more older adults and caregivers.

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.

A Filipino-led team of international researchers has developed a physics-based algorithm that could train AI to greatly improve weather forecasts.

A research group led by Associate Professor Islam MD Parvez and Professor Kenji Hato of the Graduate School of Agriculture at Ehime University has developed "Hort-YOLO," a real-time monitoring system for horticultural crops. This system is an advanced object detection network focused on accurate and context-aware analysis of crops, and simultaneously achieves a balance between annotation speed and scalability of supervised learning, making it practical for deployment in real-world environments.

A first of its kind, the report from Springer Nature, in partnership with Overton, draws on more than 12 million policy documents to uncover how academic research is influencing real-world policy tied to the Sustainable Development Goals (SDGs).

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.

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.

The official plaque unveiling ceremony of Asia’s first UNU Hub on Humanitarian Innovation and Technology at Lingnan University (UNU Hub at Lingnan University) was held today (25 Oct), marking a new milestone in advancing international collaboration between Lingnan and the United Nations. The ceremony was officiated by Prof Tshilidzi Marwala, Rector of the United Nations University and Under-Secretary-General of the United Nations, together with Mr Ernest Chan, Vice-President (Administration) of Lingnan University.

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 research team has broken down walls, or moved magnetic domain walls to be exact, in the field of spintronics. They uncovered a new mechanism that enables faster and more efficient movement of magnetic domain walls in spintronic materials. By harnessing dual spin torques in a cobalt–iridium–platinum multilayer structure, the team demonstrated a unique form of spin-driven motion. The findings could inform the design of next-generation, low-power spintronic memory devices.