2025 HKBU International Advisory Board for Graduate Studies Annual Meeting

Digital Longevity Medicine

by Dean Ho, Ph.D.

• Provost’s Chair Professor

• Director, The N.1 Institute for Health (N.1)

• Director, The Institute for Digital Medicine (WisDM)

• Head, Department of Biomedical Engineering

• National University of Singapore

Abstracts:

In October of 2024, Prof. Dean Ho and team launched DELTA, a first-in-kind, IRB-approved human trial - with Prof. Dean Ho as the test subject. This N-of-1 protocol harnesses a combination of digital medicine, fasting, fitness, and food to optimise metabolic health, monitored using an array of digital health platforms. Built from an unprecedented dataset, this study will culminate in a digital twin of Dean to hyper-personalise his cardiometabolic health protocol. Outcomes from this trial will create data collection frameworks to power population-scale healthspan optimisation and design novel biomarkers and regimens that do not require sustained digital monitoring to impact even larger communities.

Biography:

Professor Dean Ho is currently Provost’s Chair Professor, Director of The Institute for Digital Medicine (WisDM) at the Yong Loo Lin School of Medicine; Director of The N.1 Institute for Health (N.1), and Head of the Department of Biomedical Engineering at the National University of Singapore (NUS). He leads a pre-eminent team that has led first-in-kind human trials for digital longevity medicine and digital oncology with life-saving outcomes.

Prof. Ho is an elected Fellow of the US National Academy of Inventors (NAI), American Association for the Advancement of Science (AAAS), the American Institute for Medical and Biological Engineering (AIMBE), and the Royal Society of Chemistry. Prof. Ho is Co-Chair of the World Health Organization (WHO) Working Group for the regulation of AI for Health.

Prof. Ho is an author of the best-selling book, Medicine Without Meds, a blueprint for accelerating practice-changing innovation to patients and caregivers.

Digital Muse or Monster? Tales from the “Digital Atelier” – Amplifying Marginalised Voices with Artificial Intelligence

by Janice PAN, Ph.D.

• Director, Academy of Language and Culture (LAC)

• Professor, Department of Translation, Interpreting and Intercultural Studies (TIIS), Hong Kong Baptist University

Abstracts:

This paper explores the transformative role of artificial intelligence in reshaping interdisciplinary research ecosystems, with particular emphasis on its impact at the intersection of humanities, cultural studies, technology, and education. Through a case study approach, we examine how AI tools are being deployed to amplify marginalised voices and create more inclusive digital spaces. The research investigates both the empowering potential and inherent challenges of AI integration in cultural production and knowledge creation.

Drawing from real-world applications in community-based digital multilingual projects, we analyse how AI can serve as both a creative catalyst and a bridge between traditionally siloed disciplines. The study highlights innovative methodologies that combine human-centred design with AI capabilities to address social inequities while fostering cross-cultural dialogue and understanding.

Biography:

Professor Janice Pan is Professor of the Department of Translation, Interpreting and Intercultural Studies and Director of the Academy of Language and Culture at Hong Kong Baptist University. An experienced interpreter, she specialises in corpus-based translation/interpreting studies, political discourse, and digital humanities. She developed the Chinese/English Political Interpreting Corpus (CEPIC) and explores theatrical representation of interpreting through innovative performances. She serves as President of the Hong Kong Translation Society and is also a poet.

In addition, Prof. Pan serves as Co-editor of Bandung: Journal of the Global South, a cross-disciplinary journal in the humanities and social sciences. She is also a poet.

Cloud-Powered AI Innovation: Transformative AWS Applications in Health Research and Data Analytics

by Dongping LIU, Ph.D.

• Senior Industry Business Development Manager, Higher Education & Research, Amazon Web Services

Abstracts:

This presentation explores how cloud computing infrastructure is accelerating AI innovation across academic and research institutions, with a specific focus on health sciences and data analytics. Drawing from AWS's extensive experience partnering with leading universities and research organizations, I will showcase practical case studies demonstrating how cloud-native AI solutions are addressing complex challenges in medical research, genomics, and large-scale data analysis. These examples illustrate not only technological implementations but also the organizational transformations required to fully leverage AI capabilities.

The presentation will highlight current industry trends, emerging technical architectures, and future directions—including federated learning for privacy-preserving healthcare research and scalable computing frameworks for scientific data analysis. By examining both successes and implementation challenges, this talk aims to provide valuable insights for academic institutions looking to enhance their research capabilities through AI and cloud technologies, while fostering stronger industry-academia collaboration.

Biography:

In 2010, Dr. Dongping Liu obtained his Ph.D. degree from the Institute of Physics, Chinese Academy of Sciences. After graduation, he pursued further studies at McGill University in Canada. Previously, Dr. Liu served as an associate researcher (equivalent to an associate professor) at the Institute of Physics, CAS. For many years, he has been dedicated to keeping abreast of industry trends and implementing practical solutions in the field of higher education and scientific research.

Dr. Liu has extensive experience in deploying solutions in professional research scenarios such as artificial intelligence, deep learning, and high-performance computing. He has been awarded the First Prize of the Beijing Science and Technology Award, published over 30 research papers, and obtained more than 10 authorized patents, authorized integrated circuit layout designs, as well as multiple software copyrights and utility model patents. Currently, Dr. Liu serves as the Higher Education Industry Lead at Amazon Web Services.