GSDS 콜로퀴움이 다음과 같이 진행될 예정입니다.
 

# 날짜/시간: 2024년 9월 24일 화요일 16:00~17:00

# 장소: E2 1122호

# 연사: Prof. Uichin Lee  & Jaekyoung Kim 

# 제목:  Empowering Engagement: Data-Driven Strategies in Digital Health and Wellbeing & Math+AI+Wearables for diagnosing and treating sleep disorders

- Zoom 링크:  https://kaist.zoom.us/j/82591870965  ID:  825 9187 0965

# 초록 (Empowering Engagement: Data-Driven Strategies in Digital Health and Wellbeing)  :  

The use of mobile, wearable, and Internet of Things (IoT) technologies fosters unique opportunities for designing novel intelligent positive computing services that aim to realize human wellbeing and potential. These services can help with mental and social wellbeing (e.g., stress care and social-emotional learning), physical wellbeing (e.g., diet, exercise, and sleep coaching), and work productivity (e.g., attention management). This talk overviews the concept of data-driven digital health and wellbeing from the perspective of engagement empowerment by illustrating how sensor and interaction data collected from mobile, wearable, and IoT technologies are used to detect health and wellbeing issues, enable novel context-aware interventions, and analyze digital health and wellbeing services. Through critically reflecting on the literature and services, this talk discusses several research directions on empowering engagement, such as user and intervention modeling and management, as well as concerns and challenges, such as side effects, privacy, and ethical issues.

#Bio : Dr. Uichin Lee is a Professor in the School of Computing at the Korea Advanced Institute of Science and Technology (KAIST), leading the Interactive Computing Lab, whose mission is to study intelligent positive computing systems that can intervene in threats to human health and digital wellbeing. He received a Ph.D. degree in computer science from UCLA in 2008. He worked for Alcatel-Lucent Bell Labs as a member of the technical staff before joining KAIST in 2010. He has joint affiliations with the Department of Industrial and Systems Engineering, the Graduate School of Data Science at KAIST, and the KAIST Health Science Institute. In 2023, he was inducted as a member of the SIGCHI Academy, an honorary group of individuals who have made substantial contributions to the field of human-computer interaction (HCI). He served as a program committee member of the key HCI conferences and journals, such as ACM CHI, CSCW, and Ubicomp, and as an editor for PACM HCI (CSCW) and IMWUT (Ubicomp). He received the best paper awards at ACM CHI’16, AAAI ICWSM’13, IEEE CCGrid’11, and IEEE PerCom’07, and an impact award from IEEE IoT Fourm’19. 

 

#초록 (Math+AI+Wearables for diagnosing and treating sleep disorders)

We are in the era of “Medical Big Data,” driven by advancements in experimental and medical techniques. In this talk, I will illustrate how the combination of machine learning and mathematical modeling can be leveraged to analyze big data, yielding valuable insights for more accurate and efficient diagnosis and treatment with focus on sleep disorders. First, I will introduce the AI algorithm “SLEEPS,” which accurately predicts the risk of Obstructive Sleep Apnea (OSA) using just nine simple questions, eliminating the need for a PSG test. Then, I will demonstrate how mathematical modeling and machine learning techniques can be used to dissect the complex sleep patterns of shift workers and individuals with mood disorders, as measured by wearable devices. This innovative approach allows us to identify personalized sleep-wake patterns that effectively minimize daytime sleepiness and mood disorders. This research has led to the development of the mobile application “SleepWake,” which provides individuals with tailored sleep schedules, optimizing their overall sleep experience.

 

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GSDS dept. invites you to the following seminar.

 

# Time/Date : Sep. 24, 2024 (Tue) 16:00~17:00

# Location: Room 1122 in E2 building 

# Presenter: Prof. Uichin Lee  & Jaekyoung Kim

# Title:  Empowering Engagement: Data-Driven Strategies in Digital Health and Wellbeing & Math+AI+Wearables for diagnosing and treating sleep disorders

- Zoom Link :  https://kaist.zoom.us/j/82591870965  ID:  825 9187 0965 
 

# Abstract (Empowering Engagement: Data-Driven Strategies in Digital Health and Wellbeing)  : 

The use of mobile, wearable, and Internet of Things (IoT) technologies fosters unique opportunities for designing novel intelligent positive computing services that aim to realize human wellbeing and potential. These services can help with mental and social wellbeing (e.g., stress care and social-emotional learning), physical wellbeing (e.g., diet, exercise, and sleep coaching), and work productivity (e.g., attention management). This talk overviews the concept of data-driven digital health and wellbeing from the perspective of engagement empowerment by illustrating how sensor and interaction data collected from mobile, wearable, and IoT technologies are used to detect health and wellbeing issues, enable novel context-aware interventions, and analyze digital health and wellbeing services. Through critically reflecting on the literature and services, this talk discusses several research directions on empowering engagement, such as user and intervention modeling and management, as well as concerns and challenges, such as side effects, privacy, and ethical issues. 

#Bio : Dr. Uichin Lee is a Professor in the School of Computing at the Korea Advanced Institute of Science and Technology (KAIST), leading the Interactive Computing Lab, whose mission is to study intelligent positive computing systems that can intervene in threats to human health and digital wellbeing. He received a Ph.D. degree in computer science from UCLA in 2008. He worked for Alcatel-Lucent Bell Labs as a member of the technical staff before joining KAIST in 2010. He has joint affiliations with the Department of Industrial and Systems Engineering, the Graduate School of Data Science at KAIST, and the KAIST Health Science Institute. In 2023, he was inducted as a member of the SIGCHI Academy, an honorary group of individuals who have made substantial contributions to the field of human-computer interaction (HCI). He served as a program committee member of the key HCI conferences and journals, such as ACM CHI, CSCW, and Ubicomp, and as an editor for PACM HCI (CSCW) and IMWUT (Ubicomp). He received the best paper awards at ACM CHI’16, AAAI ICWSM’13, IEEE CCGrid’11, and IEEE PerCom’07, and an impact award from IEEE IoT Fourm’19. 

 

#Abstract (Math+AI+Wearables for diagnosing and treating sleep disorders)

We are in the era of “Medical Big Data,” driven by advancements in experimental and medical techniques. In this talk, I will illustrate how the combination of machine learning and mathematical modeling can be leveraged to analyze big data, yielding valuable insights for more accurate and efficient diagnosis and treatment with focus on sleep disorders. First, I will introduce the AI algorithm “SLEEPS,” which accurately predicts the risk of Obstructive Sleep Apnea (OSA) using just nine simple questions, eliminating the need for a PSG test. Then, I will demonstrate how mathematical modeling and machine learning techniques can be used to dissect the complex sleep patterns of shift workers and individuals with mood disorders, as measured by wearable devices. This innovative approach allows us to identify personalized sleep-wake patterns that effectively minimize daytime sleepiness and mood disorders. This research has led to the development of the mobile application “SleepWake,” which provides individuals with tailored sleep schedules, optimizing their overall sleep experience.