Home Artificial Intelligence KAIST Professor Lee Eui-jin appointed as a member of the American Computer Association Human-Computer Interaction Society Academy

KAIST Professor Lee Eui-jin appointed as a member of the American Computer Association Human-Computer Interaction Society Academy

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KAIST Professor Lee Eui-jin appointed as a member of the American Computer Association Human-Computer Interaction Society Academy

Euijin Lee, Professor of Computer Science at KAIST (Picture = KAIST)

Korea Advanced Institute of Science and Technology (KAIST, President Lee Kwang-hyung) announced on the twenty eighth that Professor Euijin Lee of the Department of Computer Science was appointed as an academy member on the American Computer Society (ACM) Human-Computer Interaction Society (SIGCHI) conference held in Hamburg, Germany.

SIGCHI, a part of ACM, is a world organization dedicated to researching how humans interact with computers and advancing technologies and methods to enhance them. The ACM SIGCHI Academy is an honorable group of researchers who’ve made remarkable contributions to the sphere of human-computer interaction, and annually selects around 8 people worldwide.

The award committee highly praised Professor Euijin Lee’s research, which had a ripple effect in the sphere of positive computing. Professor Lee contributed to the understanding of system design and human behavior with the topic of digital health and well-being as a human-computer interaction researcher who conducted true interdisciplinary research encompassing the fields of computer science, cognitive psychology, and design. After joining KAIST, she published greater than 160 papers through multidisciplinary joint research and purchased a lot of domestic and international patents. The citation index of Google Scala also exceeds 10,000 times.

Currently, Professor Lee is conducting research on the event of digital healthcare technology for emotional employees and the mental health management system for smart home environments. Professor Lee said, “By expanding the present service that supports health and well-being using digital technologies reminiscent of mobile, wearable, and Web of Things (IoT) to a personalised service that converges data and artificial intelligence, it’s a difficult challenge that increases accessibility and efficiency by greater than 100 times. We plan to conduct future technology research,” he said.

Reporter Lim Dae-jun ydj@aitimes.com

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