KAIST electrical engineering department has submitted the largest number of papers and been awarded most in 23rd Samsung Electronics HumanTech Paper Awards (Award ceremony on February 7, 2017).
36 papers passed the preliminary examination out of 77 submitted abstracts, and 11 papers finally received the awards with 3 Gold Prizes, 3 Silver Prizes, 3 Bronze Prizes, and 2 Encouragement Prizes.
The 23rd Samsung Electronics HumanTech Paper Awards Awardees |
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Category |
Prizes |
Advisor |
First Author |
Degree Pursuing |
Paper Titles |
Signal Processing |
Gold |
In So Kweon |
Yu-Kyoung Choi |
Ph.D. |
Multispectral Transfer Network: Unsupervised Depth Estimation for All-day Vision |
Signal Processing |
Bronze |
Hoi-Rin Kim |
Young-Kwan Kim |
Ph.D. |
Intra-Class Cohesive Regularization for DNN-Based Large Margin Acoustic Modeling |
Signal Processing |
Encouragement |
Jong Beom Ra |
Suk-Hwan Jang |
Ph.D. |
Head Motion Correction Based on Filtered Backprojection for x-ray CT Imaging |
Signal Processing |
Encouragement |
Yong Man Ro |
Sung-Tae Kim |
Ph.D. |
Face authentication using personal behavioral and physiological characteristics learned with expression-state |
Circuit Design |
Gold |
Gyu-Hyeong Cho |
Hee-Dong Kwon |
Ph.D. |
An AC-Coupled Single-Inductor Envelope Tracking Supply Modulator for LTE 20MHz Achieving 81.2% Efficiency from 2.7-to-4.2V Input Voltage Range |
Circuit Design |
Silver |
Hyeonmin Bae |
Ji-Hoon Lee |
Ph.D. |
8Ω 10W output, 91% efficiency, 0.0023% THD+N linear Folded-PWM multi-level switching audio amplifier |
Circuit Design |
Bronze |
Hoi-Jun Yoo |
In-Soo Ha |
Ph.D. |
A 25.2mW EEG-NIRS Multimodal SoC for Accurate Anesthesia Depth Monitoring |
Circuit Design |
Bronze |
Gyu-Hyeong Cho |
Yeon-Hee Her |
Ph.D. |
A 10.1” 56 Channels, 183 uW/electrode, 0.73 mm2/sensor High SNR 3D Hover Sensor Based on Enhanced Signal Refining and Fine Error Calibrating Techniques |
Communication & Networks |
Gold |
Song Chong |
Young-Jin Kim |
Ph.D. |
Cloud or Edge? Hybrid Content Caching for Low End-to-End Latency in Cloud-Based Wireless Networks |
Computer Science & Engineering |
Silver |
Junmo Kim |
Jun-Ho Lim |
Ph.D. |
A study on the new Knowledge transfer technique based on the Deep Neural Network |
Mechanical Engineering |
Silver |
Jun-Bo Yoon |
Min-Ho Seo |
Ph.D. |
Nanoscale Contact-Separation on Graphene |