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Symposium Session ①

Opening Session

December 18^th (Fri) 2020, 10:30 - 11:10

KEIO TECHNO-MALL has more than 20 years history and moves to vertual this year. This is our new charenge covered by both Engineering and Medical.

OKADA, Eiji

Dean,
Faculty of Science and Technology
Dean, Graduate School of
Science and Technology

AMAGAI, Masayuki

Dean,
Keio University School of Medicine

Facilitator:

YAMANAKA, Naoaki

Director,
Keio Leading-edge Laboratory of Science and Technology

Symposium Session ②

AI and Future Society

December 18^th (Fri) 2020, 11:20 - 12:30

Artificial intelligence (AI) technologies have been introduced in various fields, and it is expected that our society becomes better. This symposium introduces AI technologies of Keio University, and we will discuss about the future society.

KURIHARA, Satoshi

Professor,
Dept. of System Design Engineering,
Faculty of Science and Technology

MURATA, Shingo

Assistant Professor, Dept. of Electronics and Electrical Engineering,
Faculty of Science and Technology

OAKI, Yuya

Associate Professor,
Dept. of Applied Chemistry,
Faculty of Science and Technology

Facilitator:

KATSURA, Seiichiro

Professor,
Dept. of System Design Engineering,
Faculty of Science and Technology

Symposium Session ③

The future of sports
pioneered by technology

December 18^th (Fri) 2020, 13:00 - 14:15

Sophisticated and commoditized technology can create new value for “doing, seeing, and supporting” sports. Discuss the future of sports technology from concrete examples such as the 2019 Rugby World Cup and community sports.

KOHTAKE, Naohiko

Professor,
Graduate School of
System Design and Management

HIROSE, Toshiaki

CEO, HiRAKU

Facilitator:

AOKI, Yoshimitsu

Professor, Dept. of Electronics and Electrical Engineering,
Faculty of Science and Technology

Symposium Session ④

Big data analysis of COVID-19

December 18^th (Fri) 2020, 15:00 - 16:40

In order to elucidate the new coronavirus infection (COVID-19) that has been rampant all over the world, we will introduce multifaceted approaches of medicine, law, public health, and science and engineering, focusing on analysis using big data. We will carry out the discussion about the current situation and challenges.