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Committee Date Time Place Paper Title / Authors Abstract Paper #
RCS, SR, SRW
(Joint)		 2024-03-15
15:40		 Tokyo The University of Tokyo (Hongo Campus), and online
(Primary: On-site, Secondary: Online)		 Compensation Schemes for IQ Imbalance and Nonlinear Amplification using Machine Learning Techniques
Keigo Shimada, Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech) RCS2023-291		  [more] RCS2023-291
pp.170-175
EST 2020-01-31
15:20		 Oita Beppu International Convention Center Design of a spot-size converter using a rectangular core
Keigo Shimada, Junji Yamauchi, Hisamatsu Nakano (Hosei Univ.) EST2019-100		 This paper clarifies that a spot-size converter (SSC) using a rectangular Si-core improves the spot size conversion for ... [more] EST2019-100
pp.109-114
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