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Research Highlights

Research Highlights

The 23rd Samsung Electronics HumanTech Paper Awards

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

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