Best Demo Paper Award

Best Demo Paper Award Winners

2023

Recipient: Chihiro Okada
Paper: 216 fps 672 × 512 pixel 3 µm Indirect Time-of-Flight Image Sensor with 1-Frame Depth Acquisition for Motion Artifact Suppression
Authors: Chihiro Okada*, Sozo Yokogawa*, Yuhi Yorikado*, Katsumi Honda*, Naoki Okuno*, Ryohei Ikeno*, Makoto Yamakoshi*, Hiroshi Ito*, Shohei Yoshitsune**, Masatsugu Desaki**, Shota Hida**, Atsushi Nose*, Hayato Wakabayashi*, Fumihiko Koga*
Affiliation: *Sony Semiconductor Solutions, Japan, **Sony Semiconductor Manufacturing, Japan

2021

Recipient: Chihiro Matsui
Paper: Energy-Efficient Reliable HZO FeFET Computation-in-Memory with Local Multiply & Global Accumulate Array for Source-Follower & Charge-Sharing Voltage Sensing
Authors: C. Matsui, K. Toprasertpong, S. Takagi and K. Takeuchi
Affiliation: The Univ. of Tokyo, Japan

2020

Recipient: Yuri Kato
Paper: Paper: High Density and Large Scale MEA System Featuring 236,880 Electrodes at 11.72 μ m Pitch for Neuronal Network Analysis
Authors: Yuri Kato
Affiliation: Sony Semiconductor Solutions

2019

Recipient: Takahisa Tanaka
Paper: Low-Power and ppm-Level Detection of Gas Molecules by Integrated Metal Nanosheets
Authors: T. Tanaka*, K. Tabuchi*, K. Tatehora*, Y. Shiiki*, S. Nakagawa*, T. Takahashi**,R. Shimizu*, H. Ishikuro*, T. Kuroda*, T. Yanagida** and K. Uchida*,***
Affiliation: *Keio Univ., **Kyushu Univ. and ***The Univ. of Tokyo, Japan

2018

Recipient: Hirofumi Sumi
Paper: Next-generation Fundus Camera with Full Color Image Acquisition in 0-lx Visible Light by 1.12-micron Square Pixel, 4K, 30-fps BSI CMOS Image Sensor with Advanced NIR Multi-spectral Imaging System
Authors: Hirofumi Sumi 1,2, Hironari Takehara2, Shunsuke Miyazaki2, Daiki Shirahige2, Kiyotaka Sasagawa2, Takashi Tokuda2, Yoshihiro Watanabe1, Norimasa Kishi1, Jun Ohta2 and Masatoshi Ishikawa1
Affiliation: The University of Tokyo1, Nara Institute of Science and Technology (NAIST) 2

2017

Recipient: Irving Hsu
Paper: Towards a Fully Integrated, Wirelessly Powered, and Ordinarily Equipped On-lens System for Successive Dry Eye Syndrome Diagnosis
Authors:  Irving Hsu
Affiliation: National Chiao Tung University