A3 Foresight Workshop

August 11 2021 Online

Overall Program

9:00 - 9:15 Opening

9:15 - 10:45 Session 1 (Chair: Yin Chen, Keio University)

10:45 - 11:00 Break

11:00 - 12:30 Session 2 (Chair: Sinh Hyunh, Yonsei University)

12:30 - 13:30 Lunch

13:30 - 14:30 Keynote (Chair: Junehwa Song, KAIST)

14:30 - 14:45 Break

14:45 - 16:00 Session 3 (Chair: Chenren Xu, Peking University)

16:00 - 16:15 Break

16:15 - 17:10 Session 4 (Chair: JeongGil Ko, Yonsei University)

17:10 - 17:20 Closing

URL: https://yonsei.zoom.us/j/85353468168?pwd=UXI5V3VlTTRId3Fzc3ROZ3RMTWVoUT09


Digital Aging in Northeast Asia (Moon Choi, KAIST)


This talk will give an overview of key concepts and theories in social gerontology such as longevity revolution and life course perspective with a focus on Northeast Asia. China, Japan and the Republic of Korea have their unique positions in terms of population aging. China has the “largest” population of older adults, whereas Japan has the “highest” proportion of older adults, and the Republic of Korea has the “fastest” rate of population aging in the world. Population aging can be both opportunities and challenges to Northeast Asian countries, and this talk will introduce the recent research on digital aging from a social gerontological perspective and discuss its implications on the development of technology for active ageing.

Short Bio:

Moon Choi is a tenured Associate Professor in the Graduate School of Science and Technology Policy at KAIST and has founded and run a research group called Aging and Technology Policy Lab (http://aging.kaist.ac.kr). Her research group has focused on examining the mechanisms of social problems related to population aging and new technologies, providing policy analysis and recommendations on the issues. The current research projects include policy research on older drivers based on big data analytics, artificial intelligence fairness with a focus on ageism and sexism, and welfare technology and active aging using a living lab approach. Prof. Choi has an Interdisciplinary training and educational background. She has earned her bachelor’s degree in Biochemistry from Yonsei University and master’s and doctoral degrees in Social Welfare from Seoul National University and Case Western Reserve University. Before joining KAIST, she was Assistant Professor at the University of Kentucky College of Social Work. Dr. Choi serves as a consultant for the United Nations as well as Associate Editor of the Journal of Transport & Health and Frontiers in Public Health.

Session 1

Shuangjiao Zhai (Northwest University) - Robust Wireless Sensing Using Probabilistic and Statistical Assessments 

Jinkyu Lee (Seoul National University) - ParallelFusion: Towards Maximum Utilization of Mobile GPU for DNN Inference

Ruichen Cong (Waseda University) - Individual-Initiated Access Control for Privacy-Preserved Health Data Sharing in an Integrated Platform of Blockchain and IPFS Enhanced with CP-ABE

Ruiyang Gao (Peking University) - Towards Position-Independent Sensing for Gesture Recognition with Wi-Fi

Taekyung Lee (KAIST) - The elderly in public space: towards a socially-inclusive space architecture

Session 2

Wenhao Huang (Keio University) - A Hybrid Bus Crowdedness Sensing System Based on Deep Learning

Jinyi Liu (Peking University) - WiPhone: Smartphone-based Respiration Monitoring using Ambient Reflected WiFi Signals

Seyeon Kim (KAIST) & Kyungmin Bin (Seoul National University) - zTT Learning-based DVFS with Zero Thermal Throttling for Mobile Devices

Kazuhiro Mikami (Keio University) - DeepCounter: A System for Collectiong Fine-grained Garbage Disposal

Sen Du (Southeast University) - Respiratory monitoring based on super-pixel edge detection

Session 3

Xueting Tang (Southeast University) - Heart rate monitoring based on near-infrared video

WANG JIA (Yokohama National University) - Etherpot: A Honeypot for Observing Cyberattacks on Ethereum Client

Jaewon Choi (Yonsei University) - 4KODEC: Exploiting 2K Frames for Supporting Efficient 4K-Quality Pervasive Video Streaming Applications

Xinyi Jiang (Keio University) - SenTan: An IoT System for Behavioral Observation and Recording Applied to Bathing Environments

Session 4

Euihyeok Lee (KOREATECH) - Recognizing reactions in music listening using smart earbuds

Aamir Bokhari (Yokohama National University) - Combating Cyber Threats on Resource-Constrained IoT Devices: Attack Observations and Stealth Security

Yuezhong Wu (University of New South Wales / Peking University) - Auto-Key: Using Autoencoder to Speed Up Gait-based Key Generation in Body Area Networks