IJCAI 2023

The 3rd AI for Ageless Aging Workshop (AIAA)

9:00 AM - 12:30 PM, August 21, 2023 (GMT+8)

Sheraton Grand Macao, Sky Tower, Almaty 6106


News

  • 06/2023: In response to a few extension requests and the receipt of additional submissions, we find it necessary to extend the notification deadline. Please be advised that the updated deadline for AIAA notifications will now be June 11, 2023, at 11:59 PM (UTC-12). This extension is necessitated by the increased volume of papers to review, which ensures we maintain the quality and integrity of our review process. We appreciate your understanding in this matter and apologize for any inconvenience caused by this change. If you have any queries or require further clarification on this updated timeline, feel free to reach out to us at xjzhao@ntu.edu.sg. Thank you for your patience and continued support towards the AIAA@IJCAI 2023 Workshop.
  • 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

    Due to the good response of the successful “AI for Cognitive and Physical Frailty Workshop (AIF)” jointly organized with IJCAI (International Joint Conference on Artificial Intelligence), we decided to expand the title to the broader “AI for Ageless Aging Workshop”. The number of people in the world aged 65 or over will more than double to reach 1.5 billion by 2050, according to the United Nations. 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. Interdisciplinary research and the application of AI technologies in the field of frailty can help assess the potential risk of frailty and pre-frailty in home and community environments instead of relying on clinical settings alone. AI technologies can also offer potential solutions to improve efforts at the identification and intervention of age-related diseases, such as strokes, 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. In addition, AI-based biomarkers of aging can present a holistic view of biological processes, pinpoint the most critical features, and identify biological targets and mechanisms based on causal models. Nonetheless, opportunities offered by these emerging technologies raise ethical concerns that must be addressed in order to ensure that these automated systems can truly benefit older adults.

    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

    Xiaoxiao Li
    The University of British Columbia, Canada
    Zhiqi Shen
    Nanyang Technological University, Singapore

    Schedule

    Time (GMT+8) Speaker Title Record
    9:00 AM - 9:05 AM Opening Remarks
    Invited Talk
    9:05 AM - 9:45 AM Xiaoxiao Li Facilitating Deep Learning for the Understanding of Aging and Neurological Disorders through Neuroimaging
    Research Paper Presentations
    9:45 AM - 10:00 AM Qiuju Chen A Microwave Signal Replicator Design for Testing of the Multi-channel Transcranial Magnetic Stimulator
    10:00 AM - 10:15 AM Yilin Kang A Gerontolinguistics-Aware Similar Case Recommendation Method for 12345 Public Service Hotline
    10:15 AM - 10:30 AM Wei Wang A Survey on the Use of Intelligent Physical Service Robots for Elderly or Disabled Bedridden People at Home
    Tea Break
    10:30 AM - 11:00 AM - -
    Invited Talk
    11:00 AM - 11:40 AM Zhiqi Shen Tackling Frailty with Digital Healthcare
    Research Paper Presentations
    11:40 AM - 11:55 PM Nasimuddin Ahmed Freezing of Gait Detection Using Wrist-based Accelerometer
    11:55 PM - 12:10 PM Cancheng Li Multi-Bands Joint Graph Convolution EEG functional connectivity Network for Predict Mental Disorders
    12:10 PM - 12:25 PM Haixia Li Multi-Organization Epigenetic Clock Based on Deep Learning Attention Mechanism
    12:25 PM - 12:30 PM Closing

    Organizing Committee

    Chunyan Miao
    Nanyang Technological University, Singapore
    Cyril Leung
    The University of British Columbia, Canada
    Jing Jih Chin
    Tan Tock Seng Hospital, Singapore
    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
    Zhiwei Zeng
    Nanyang Technological University, Singapore
    Xuejiao Zhao
    Nanyang Technological University, Singapore
    Haocong Rao
    Nanyang Technological University, Singapore
    Jiehuang Zhang
    Nanyang Technological University, Singapore

    Organized By

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