IJCAI 2024

The 4th AI for Ageless Aging Workshop (AIAA)

2:00 PM - 6:00 PM, August 5, 2024 (GMT+9)

Room 4F-Room 401B, International Convention Center, Jeju Island, South Korea

(You are also encouraged to attend the similarly themed workshop ARIAL on August 4)


About IJCAI

The International Joint Conference on Artificial Intelligence (IJCAI) is the leading conference in the field of Artificial Intelligence. It covers a broad range of research areas in the field of AI. The conference series has been organized by the nonprofit IJCAI Organization since 1969, making it the oldest premier AI conference series which gathers researchers of AI all around the world.

Introduction of AIAA Workshop

The number of people in the world aged 60 and older will reach 2.1 billion by 2050, according to the report of World Health Organization. The rapid aging of the global population has brought unprecedented economic and cultural challenges to individuals, families, society, as well as the international community. To alleviate the challenges of an aging society, the elderly population requires support in active lifestyles, balanced nutrition, and healthcare services. Furthermore, healthy and thriving elderly can contribute significantly to society.

As a seismic force shaping the 21st century, artificial intelligence (AI) algorithms in the field of aging research have made great progress and offer exciting future opportunities. Many aspects of aging have been impacted by innovative hardware, software, and sensor applications and emerging algorithms in the field of AI, including healthcare services, disease management and prediction, and longevity medicine development. AI technologies can also offer potential solutions to improve efforts at the identification and intervention of age-related diseases, such as strokes, cancers, Alzheimer’s Disease, dementia, Parkinson’s Disease, etc. By employing AI technologies, intervention plans, such as for physical exercise, nutrition, and polypharmacy management, can be customized, adaptable, and personalized, maximizing the effectiveness of the intervention. On the other hand, interdisciplinary research and the application of AI technologies in the field of healthcare are also crucial for maintaining the sustainability and affordability of medical care in times of an ageing population. Many leading global companies, such as Google, IBM, and Alibaba, are actively collaborating with universities and hospitals in the smart healthcare sector. Their ongoing exploration and development efforts are driving numerous innovations and improvements to tackle the challenges posed by an aging population.

The new era of ageless aging is data-driven and AI-enabled. This timely workshop on “AI for Ageless Aging” aims to bring together researchers, medical practitioners, representatives of various beneficiaries, relevant industry stakeholders, potential investors, and others to discuss how AI technologies can be used to enable older people to lead active, independent, and dignified lifestyles.


Invited Talks

Prof. Martin J. McKeown
The University of British Columbia, Canada
Prof. Lam Khin Yong
Nanyang Technological University, Singapore
Prof. Huanhuan Chen
University of Science and Technology of China, China
Prof. Jing Jih Chin
Tan Tock Seng Hospital,
Singapore
Prof. Cyril Leung
The University of British Columbia, Canada
Anthony G Cohn
University of Leeds, England

Schedule

Time (GMT+9) Speaker Title Record
2:00 PM - 2:05 PM Opening Remarks
Invited Talks
2:05 PM - 2:30 PM Lam Khin Yong
2:30 PM - 2:55 PM Jing Jih Chin
2:55 PM - 3:20 PM Bei Li
Research Paper Presentations
3:20 PM - 3:30 PM Xuejiao Zhao SpeciaLLM: Large Language Models based Specialist
Tea Break
3:30 PM - 4:00 PM - -
Invited Talks
4:00 PM - 4:25 PM Martin J. McKeown
4:25 PM - 4:50 PM Huanhuan Chen & Anthony G Cohn
4:50 PM - 5:15 PM Cyril Leung
Research Paper Presentations
5:15 PM - 5:25 PM Nasimuddin Ahmed Enhancing Parkinson's Disease Management through Automatic Personalized Assistive Systems
5:25 PM - 5:35 PM Nicole Heng Yim Exploring a Multimodal Fusion Deep Learning Network for Detecting Facial Palsy
5:35 PM - 5:45 PM Han Ren Artificial Intelligence in Elderly Healthcare: A Bibliometric Analysis
5:45 PM - 5:55 PM Chongmin Lee Biomarker based Cancer Classification using an Ensemble with Pre-trained Models
5:55 PM - 6:00 PM Closing

Organizing Committee

Chunyan Miao
Nanyang Technological University, Singapore
Cyril Leung
The University of British Columbia, Canada
Bei Li
Alibaba, China
Chengqi Zhang
University of Technology Sydney, Australia

Program Committee

Takayuki Ito
Kyoto University, Japan
Cuntai Guan
Nanyang Technological University, Singapore
Lizhen Cui
Shandong Unviersity, China
Lim Wee Shiong
Tan Tock Seng Hospital, Singapore
Martin J. McKeown
The University of British Columbia, Canada
Yiqiang Chen
Chinese Academy of Sciences, China
Ishida Toru
Kyoto University, Japan
Di Wang
Nanyang Technological University, Singapore
Hong Xu
Nanyang Technological University, Singapore
Huanhuan Chen
University of Science and Technology of China, China
Tao Wang
Peking University, China
Xiaoxiao Li
The University of British Columbia, Canada
Zhiwei Zeng
Nanyang Technological University, Singapore
Xuejiao Zhao
Nanyang Technological University, Singapore
Haocong Rao
Nanyang Technological University, Singapore

Organized By