1 - Keynote Speaker November 8th, [9:30am - 10:30am KST]
Title: Towards Personalized Data-Driven Digital Wellbeing
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 Form’19.
Digital wellbeing" refers to the constructive engagement with digital technologies, allowing individuals to work efficiently, enhance social connections, and maintain a balanced, healthy lifestyle devoid of negative side effects such as distractions and over-reliance. This keynote delves into recent data-driven studies that investigate user interactions and contextual data to offer a comprehensive understanding of digital wellbeing and its interplay with physical, mental, and social wellbeing. Furthermore, a series of recent digital wellbeing services are reviewed to provide insights into potential avenues for future research on intervention design. A critical examination reveals that user interface design has, to date, been heralding fluid interactions and has so far neglected mitigating such side effects, which motivates an alternative for increasing interaction friction or even blocking user interaction as a tool for self-binding. The keynote culminates in a call to action, urging research communities to further conduct data-driven studies on digital wellbeing and explore novel personalized, data-driven, intelligent interventions in our ever-evolving digital landscape.
Mary’s research focuses primarily on information worker task management, health and wellness for individuals and groups. Her background is in visual attention and multitasking. She holds a PhD in Cognitive Psychology from Indiana University in Bloomington. Mary was awarded the Chicago Global Visionaries Award in 2006, the ACM SIGCHI Lifetime Service Award, was inducted into the CHI Academy, and became an ACM Distinguished Scientist in 2010. Mary became a Fellow of the ACM in 2016. She also received the Distinguished Alumni award from Indiana University’s Brain and Psychological Sciences department in 2014 and a Distinguished Alumni award from the College of Arts and Sciences from Indiana U. in February, 2018. Mary became a Fellow of the American Psychological Science association in 2018 and was recognized as an EAI (European Alliance for Innovation) Fellow in 2019.
Dr. Henry Leung is a professor of Electrical and Computer Engineering at the University of Calgary, Canada. He was previously with the Department of National Defence (DND) of Canada as a defense scientist. He has over 300 journal papers and over 250 refereed conference papers in the areas of signal and image processing, data mining, information fusion, machine learning, IoT, and sensor networks. He also holds more than 15 patents. Dr. Leung is the editor of the Springer book series on “Information Fusion and Data Science”. He has been an associate editor of various journals such as the International Journal on Information Fusion, IEEE Trans. Aerospace and Electronic Systems, IEEE Signal Processing Letters, IEEE Circuits and Systems Magazine, IEICE Trans. on Nonlinear Theory and Applications. He is a Fellow of IEEE and SPIE.
Title: Human-in-loop machine learning – how big data is big to begin with?
Prof. KC Santosh, a highly accomplished AI expert, is the chair of the Department of Computer Science, University of South Dakota. He earned his PhD in Computer Science - Artificial Intelligence from INRIA Nancy Grand East Research Centre (France) and worked as a research fellow at the National Institutes of Health. With funding of over $1.3 million, including a $1 million grant from DEPSCOR (2023) for AI/ML capacity building at USD, he has authored 10 books and published over 240 peer-reviewed research articles. He is an associate editor of multiple prestigious journals such as IEEE Transactions on AI, Int. J of Machine Learning & Cybernetics, and Int. J of Pattern Recognition & Artificial Intelligence. To name a few, Prof. Santosh is the proud recipient of the Cutler Award for Teaching and Research Excellence (USD, 2021), the President's Research Excellence Award (USD, 2019) and the Ignite Award from the U.S. Department of Health & Human Services (HHS, 2014). As the founder of AI programs at USD, he has taken significant strides to increase enrollment in the graduate program, resulting in over 2,000% growth in just three years. His leadership has helped build multiple inter-disciplinary AI/Data Science related academic programs, including collaborations with Biology, Physics, Biomedical Engineering, Sustainability and Business Analytics departments. Prof. Santosh is highly motivated in academic leadership, and his contributions have established USD as a pioneer in AI programs within the state of SD.
Title: DeSci movement -Technical publication at the age of Web 3.0
Prof.Shiho Kim (Senior Member, IEEE) founded the PAV Research and Development Center supported by Incheon Metropolitan City and Soomvi Inc., in 2020. He has been directing the Seamless Transportation Laboratory, since 2011. He is currently a Professor with the School of Integrated Technology, Yonsei University, Seoul, South Korea. His research interests include the development of software and hardware technologies for autonomous vehicles and reinforcement learning for intelligent transportation systems.