Ph.D. candidate Eungjun Kim (Advisor: Prof. Seunghyup Yoo) was awarded the Best Presentation Award at ICEL 2018.

Ph.D. candidate Eungjun Kim (Advisor: Prof. Seunghyup Yoo) was awarded the Best Presentation Award at ICEL 2018(The 12th International Conference on Electroluminescence and Optoelectronic Devices). 

Congratulations to Eungjun Kim and Seunghyup Yoo.

 

Conference: ICEL 2018(The 12th International Conference on Electroluminescence and Optoelectronic Devices)

Date: 2018.10.14 – 2018.10.17

Venue: Jeju, Korea

Award: Best Presentation Award (Poster session)

Title: Design of highly flexible organic light emitting diodes having oxide-based transparent electrodes and thin film encapsulation layers.

Author: Eungjun Kim, Jeonghyun Kwon, Cheolgyu Kim, Taeksoo Kim, Kyungcheol Choi, and Seunghyup Yoo

Prof. Euijong Whang was awarded the Google AI Focused Research Award

Prof. Euijong Whang was awarded the Google AI Focused Research Award.

The Google Award was launched for the first time in Korea and only 4 professors in Korea (2 from KAIST including Prof. Whang and 2 from Seoul National University) received the award.

The title of awarded project is ‘Towards Automatic and Actionable Model Analysis for TFX and CloudML’.

You can check the related contents through below links.

Congratulations!

<Article Links>
https://korea.googleblog.com/2018/09/googleaifocusedresearchawardsprogram.html

 

Professor In-so Kweon’s Laboratory students awarded the 1st place prize in “ChaLearn Looking at People Challenge”, ECCV 2018

Ph.D. candidate Dahun Kim, M.S candidate Sanghyun Woo, and Dr. Joonyoung Lee (Advisor: Prof. Inso Kweon) awarded the 1st place prize in “ChaLearn Looking at People Challenge” co-organized by Google, Amazon, and DisneyLab of the European Conference on Computer Vision (ECCV) held on September 9th.

 

The ‘Video Decaptioning’ challenge is a “video inpainting” task that recovers raw video by recognizing and eliminating arbitrarily mixed text in the video.

In particular, this work was recognized as a meaningful academic achievement by proposing a new concept “DVDNet: Deep Blind Video Decaptioning with 3D-2D Gated Convolutions” for video processing and they succeeded in restoring images with the overwhelming performance.

 

Congratulations.

Ph.D. candidate Eungyo Jeong (Advisor: Prof. Kyungcheol Choi) awarded the Best Poster Award at E-MRS 2018 Fall Meeting.

Ph.D. candidate Eungyo Jeong (Advisor: Prof. Kyungcheol Choi) awarded the Best Poster Award at E-MRS 2018 Fall Meeting in Poland.

The title of the paper is ‘ALD-based Stress Optimized Washable Encapsulation Barrier with a Multi-functional Capping Layer for Wearable Organic Devices’

Congratulations to Eungyo Jeong and Prof. Kyungcheol Choi.

Conference: E-MRS 2018 Fall Meeting (European Materials Research Society)

Date: 2018.09.17-2018.09.20

Venue: Warsaw, Poland

Award: Best Poster Award

Title: ALD-based Stress Optimized Washable Encapsulation Barrier with a Multi-functional Capping Layer for Wearable Organic Devices

Author: Eun Gyo Jeong, Tim Hasselmann, Thomas Riedl, and Kyung Cheol Choi 

Professor Kyungcheol Choi won the 15th Merck award

Professor Kyungcheol Choi won the 15th Merck award at 2018 International Meeting on Information Display (IMID).

The Merck award is a technology paper award which is established to applaud great scientific achivement of dipslay technology in IMID. The professor Choi used core technology of flexible OLED to realize wearable OLED device with high efficiecy and flexiblity on fiber for the first time in the world. Also he is admired with the first development in the world of OLED adhesive bandages using wearable element.

News Link: https://www.kaist.ac.kr/_prog/_board/?code=kaist_news&mode=V&no=85001&upr_ntt_no=85001&site_dvs_cd=kr&menu_dvs_cd=0601

 

Conference : IMID 2018 (The 18th International Meeting on Information Display)

Date : 2018.08.28 – 2018.08.31

Location : Busan, BEXCO

Dr. Junhee Han and Ph.D Candidate Jeongbin Shin(Advisor : Prof. Kyungcheol Choi) got awards at IMID 2018

Dr. Junhee Han and Ph.D Candidate Jeongbin Shin(Advisor :  Prof. Kyungcheol Choi) got awards at IMID 2018(The 18th International Meeting on Information Display)

Dr. Junhee Han received the Young Leaders Conference(YLC) Award ‘Gold’ and Ph.D Candidate Jeongbin Shin received the Best Poster Award.

IMID is one of the three largest display conferences in the world, with SID in the U.S and IDW in Japan, hosted by The Korean Information DIsplay Society (KIDS).

Congratulations to Junhee Han and Jungbin Shin.

  •      Conferecnce : IMD 2018
  •      Date : 2018.08.28 – 2018.08.31
  •      Venue : Busan, BEXCO
  •      Authors and Awards Information (2 people) :

   1. Winner : Dr. Junhee Han

– Awards : Young Leaders Conference (YLC) Award ‘Gold’

– Paper : Ultra-High Definition Full Color Top Emitting Organic Light Emitting Diode Structure with Higher Efficiency

– Authors : Jun Hee Han, Dohong Kim, Tae-Woo Lee, Ho Seung Lee, and Kyung Cheol Choi

 

   2. Winner : Ph.D Candidate Jeongbin Shin

– Awards : Best Poster Award

– Paper : Functional nanostructures for improving the out-coupling efficiency of organic and perovskite light-emitting diodes

– Authors : Jeong Bin Shin, Ju Young Woo, Sohee Jeong, and Kyung Cheol Choi

 

Pictures(Left : Dr. Junhee Han, Right : Dr. Jeongbin Shin)

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Professor Kim Tag-Gon Research Paper Selected as the 1st Annual Best Paper of the Year by the Society for Modeling and Simulation International

The paper of Professor Kim Tag-Gon’s group was selected as the 1st Annual Best Paper of the Year in the SIMULATION of the Society for Modeling and Simulation International (SCS).

The selection was conducted among the best papers published in the journal in this year. The award ceremony will be held at the Spring Simulation Conference in April 2019.

Congratulations.

 

Title: Data Modeling Versus Simulation Modeling in the Big Data Era: Case Study of a Greenhouse Control System.

Author: Byeong Soo Kim, Bong Gu Kang, Seon Han Choi and Tag Gon Kim

M.S candidate Seongyeon Kim (Advisor: Lee Hyunjoo) Selected as Geographic Finalist at the EMBS Society of IEEE

M.S Candidate Kim Seongyeon (Advisor: Lee Hyunjoo) was selected as a Geographic Finalist by the IEEE EMBS Society.
He won the third place in the SPC(Student Paper Competition) which Geographic Finalists and Open Finalists are in competition.

The IEEE EMBS (Society of Engineering in Medicine and Biology Society) is the world’s largest society in the field of biomedical engineering. They select 5 geographic finalists and 10 open finalists, among which he was selected as geographic Finalists (Asia-Pacific).

 

Conference: 40th International Conference of the IEEE Engineering in Medicine and Biology Society

Date: 2018.07.17-2018.07.21

Venue: Hawaii Convention Center

Title: Improved Target Specificity of Transcranial Focused Ultrasound Stimulation (TFUS) using Double-Crossed Ultrasound Transducers

Author: Seongyeon Kim, Hyunggug Kim, Chaeyun Shim, and Hyunjoo J. Lee*

 

2018 IEEE EMBS Conference SPC 3rd prize SeongyeonKim

Professor Moon Gun-Woo's Laboratory Students awarded Best Paper Award and Best Presentation Award from the Korean Institute of Power Electronics

Ph.D. candidate Kim Gun-woo (Advisor: Moon Gun-woo) awarded Best Paper Award from the Korean Institute of Power Electronics 2018.

Also, Lim Cheon Yong, Han Jung Kyu, Lee Young Dal, Kim Keon Woo awarded Best Presentation Award from the Korean Insitute of Power Electronics 2018.

Conguratulations.

 

Winner: Kim, Keon Woo

Title: Zero-Voltage Switching Three-Level Converter Reduces Rectification Voltage Stress Using Coupled Inductors

Award: Best Paper Award, Best Presentation Award

 

Winner: Lim Cheon Yong

Title: New Phase Modulated PWM Full Bridge Converter with High Efficiency, High Density for Electric Car Battery Charging

Award: Best Presentation Award

 

Winner: Han Jung Kyu,

Title: Asymmetric half-bridge converter with high efficiency over a wide input voltage range

Award: Best Presentation Award

 

Winner: Lee Young Dal

Title: Soft switchable totem pole bridgeless power factor compensation circuit

Award: Best Presentation Award

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Ph.D. course Hyunho Yeo's paper (Advisor: Dongsu Han) adopted USENIX OSDI 2018 paper

The paper of Ph.D. Student Hyunho Yeo (Advisor: Dongsu Han), which will be presented in October, will be adopted at USENIX Symposium on Operating Systems Design and Implementation (OSDI) 2018. It is a KAIST thesis in which a professor Dongsu Han and Jin-woo Shin cooperate with the title of “Neural Adaptive Content-aware Internet Video Delivery” (Author Hyunho Yeo, Youngmok Jung, Jaehong Kim, Jin Woo Shin and Dongsu Han).

USENIX OSDI is a flagship conference in the field of Operating Systems, held every two years, with about 30-40 papers published each time. It is famous for presenting research and innovative technologies such as Google’s flagship system MapReduce (2004, citation = 25,000), BigTable (2006, citation = 5,800), TensorFlow (2016, citation = 5,300), and others. Especially, this issue is meaningful in the fact that it was the first paper of KAIST in the history of 26 years of OSDI society and adopted in Korean institution in 10 years.

This study is based on the position paper “How will Deep Learning Change Internet Video Delivery? (ACM HotNets 2017, First author Hyunho Yeo) collaborated with Deep Learning Expert Jin-woo Shin to present a new design that combines adaptive streaming and deep learning technology, the core technologies of Internet video transmission.

In this paper, we propose an HTTP adaptive streaming system based on super-resolution DNN (Deep Neural Network) and re-implementation DNN player, dramatically improving the quality of User Experience (more than 50%) compared to the existing one. For this, the client is designed to enable real-time inference, and the design that transmits the DNN model for each individual video is operated in conjunction with the existing MPEG DASH.

In this study, we applied the DNN to the video content itself for the first time to prepare for the research on the video transmission and the network of the distribution network (Content Distribution Network). We propose content-awareness of DNNs, implement the system practically, and acknowledge innovation that demonstrates its advantages in a real environment.

 

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