

[Prof. Yoon, Young-Gyu, Kim, Jeewon (PH.D candidate), Prof. Chang, Jae-Byum From Left: ]
Recent studies have shown that protein markers in the cancer tissues manifest differently across cancer patients. Related research findings indicate that such a difference determines the cancer progress as well as reactivity to anti-cancer drugs. This is why detecting multiple markers, also known as multiplexed imaging, from cancer tissues is deemed essential.
The research team’s development, PICASSO, is capable of detecting 15 – and at most 20 – protein markers at once via fluorescence imaging. This development was made possible by utilizing fluorophores exhibiting similar emission spectra simultaneously and accurately isolating each type of the fluorophores with blind source separation. Said technique does not require specialized reagent or expensive equipment and is thus considered a promising method of better diagnosis of cancer and drug development as well as protein marker discovery.
EE PH.D student Kim, Jeewon and Materials Science and Engineering student Seo, Junyoung, and alumnus Sim, Yeonbo have led the research as first authors, and their paper was published in Nature Communications, book 13, May as “PICASSO allows ultra-multiplexed fluorescence imaging of spatially overlapping proteins without reference spectra measurement”.
KAIST PhD candidates Soo Ye Kim from the School of Electrical Engineering (advisor: Prof. Munchurl Kim), Sanghyun Woo from the School of Electrical Engineering (advisor: Prof. In So Kweon), and Hae Beom Lee from the Kim Jaechul Graduate School of AI (advisor: Prof. Sung Ju Hwang) were selected as recipients of the 2021 Google PhD Fellowship.
< The 2021 Google PhD fellow Soo Ye Kim, Sanghyun Woo, and Hae Beom Lee (from left) >
The Google PhD Fellowship is a scholarship program that recognizes outstanding graduate students for their exceptional and innovative research in areas relevant to computer science and related fields. This year, 75 students from around the world have received the fellowship. Selected fellows receive a $10,000 scholarship and an opportunity to discuss research along with feedback from experts at Google.
Soo Ye Kim and Sanghyun Woo were named fellows in the field of “Machine Perception, Speech Technology and Computer Vision”. Soo Ye Kim was selected for her outstanding achievements in deep learning based super-resolution, and Sanghyun Woo was selected for his outstanding achievements in the field of computer vision. Hae Beom Lee was named a fellow in the field of “Machine Learning” for his outstanding achievements in meta-learning.
Soo Ye Kim’s research achievements include the formulation of novel methods for super-resolution and HDR video restoration and deep joint frame interpolation and super-resolution methods. Many of her works have been presented in leading conferences in computer vision and AI such as CVPR, ICCV, and AAAI. In addition, she has been collaborating as a research intern with the Vision Group Team at Adobe Research to study depth map refinement techniques.
Sanghyun Woo’s research achievements include an effective deep learning model design based on the attention mechanism and learning methods based on self-learning and simulators. His works have been also presented in leading conferences such as CVPR, ECCV, and NeurIPS. In particular, his work on the Convolutional Block Attention Module (CBAM) which was presented at ECCV in 2018 has surpassed over 2700 citations on Google Scholar after being referenced in many computer vision applications. He was also a recipient of Microsoft Research PhD Fellowship in 2020.
Prof. Joonhyuk Kang, the head of KAIST EE, congratulated and encouraged Sanghyun Woo for receiving the fellowship by carrying out it as a research personnel for military service and Soo Ye Kim for great achievement through industrial cooperations sprightly.
Due to the COVID-19 pandemic, the award ceremony was held virtually at the Google PhD Fellow Summit from August 31st to September 1st. The list of fellowship recipients is displayed on the Google webpage.
(Link: https://research.google/outreach/phd-fellowship/recipients/ )
[Research achievements of Soo Ye Kim: Deep learning based joint super-resolution and inverse tone-mapping framework for HDR videos]
[Research achievements of Sanghyun Woo: Attention mechanism based deep learning models]
EE Prof. Seunghyup Yoo, wins the Merck Award at the 2021 International Meeting on Information Display (IMID 2021)
Professor Seunghyup Yoo of our EE Faculty was honored with the Merck Award at the International Meeting on Information Display (IMID) 2021 held at COEX, Seoul from August 25 to 27.
The Merck Awards have been given at IMID hosted by the Korean Information Display Society (KIDS) since 2004, the 100th anniversary of Merck’s liquid crystal research. To encourage innovative and excellent research and development in the display field, this award has been given to selected researchers with outstanding achievements in display technology.
Professor Seunghyup Yoo has achieved excellent research results with academic depth and industrial impact in the fields of displays and lighting devices based on organic light-emitting diodes (OLEDs) as well as flexible and wearable electronics. In particular, he conducted systematic research to achieve the ultimate efficiency of OLEDs, which includes the result such as bringing the efficiency of OLED to the level of state-of-the-art inorganic LEDs. Recently, he is pioneering a new field in which wearable IT, optical technology, and medical technology are converged to expand the application fields of OLEDs and organic electronic devices to healthcare. He has also been contributing to the international societies such as the Korea Information Display Society (KIDS) and the Optical Society of America (OSA) for advance and spread of display technologies.
Meanwhile, Merck held an online meeting called Merck Science Connect in line with IMID 2021, and “The power of displaying, as an interface” can be viewed at the following link, in which Professor Seunghyup Yoo participated as a panel.
(link) https://youtu.be/HYwvUjMu_qo
[2021 Merck Arawd (Prof.Seunghyup Yoo , KAIST) and Merch young scientists winners]
[Prof. Seunghyup Yoo]
Professor Munchurl Kim is Awarded Research Grand Award for 2021 KAIST Research Day
On the past 25th of May, our department’s professor Munchurl Kim was awarded the Grand Award for the 2021 KAIST Research Day. Professor Changho Suh and
Professor Hoi-Jun Yu were also selected for the top 10 R&D research achievements along with various other achievements being introduced in the press.
Professor Kim’s research was highly recognized for AI based methods of enhancing low resolution video to high resolution quality video and has greatly contributed to video and resolution restoration in the field of AI.
We congratulate our department’s students and professors for their research and awards.
Website link : https://www.etnews.com/20210525000246
Professors Song-Min Kim & Seong-Ook Park’s research group has been selected for a research project for the 2021 Samsung Future Technology Promotion Project.
Research Field |
Project Title |
Research Director |
ICT convergence creative task |
Powerless millimeter-wave tag system for ultra-precision multi-angle object recognition |
Professor Song-Min Kim |
The research project proposed by professors Song-Min Kim & Seong-Ook Park’s research group has been selected for the 2021 Samsung Future Technology Promotion Project.
This project proposes an ultra-precise monitoring system using a batteryless mmWave Backscatter Tag. By attaching a small tag of several centimeters, it provides ultra-precise location recognition and various sensing functions, and it operates without power to provide precise and eco-friendly services such as monitoring patients in a coma in hospitals.
Congratulations again to the professors Song-Min Kim & Seong-Ook Park!
Our department’s professor Myoungsoo Jung’s research team achievement on terabyte scale memory storage technology has been reported in various news presses.
Professor Jung’s research team has succeeded in developing memory-over-storage technology which can combine non-volatile memory and super-short delay SSD into a single space. By using this scheme together with the re-usage of traditional storage technologies, the capable storage space per memory slot has increased to the terabyte scale compared to Intel optane memory while maintaining data processing speeds similar to volatile memory.
Current permanent memory technologies are highly dependent on foreign corporations, but this achievement has opened the path into overcoming such foreign dependency.
The paper “Revamping Storage Class Memory With Hardware Automated Memory-Over-Storage Soultion” with 1st author as our department’s Post Doc. Jie Zhang along with Ph.d candidates Miryeong Kwon and Donghyun Gouk has been published in IEEE International Symposium on Computer Architecture (ISCA), one of the most distinguished journals on computer system structures.
This research was funded by the MSIT and KAIST and details on the research can be found in the following link(http://camelab.org/).
Further information can be found in the links below.
https://news.kaist.ac.kr/news/html/news/?mode=V&mng_no=12890
Shinsegae I&C and KAIST Opens Retail-Tech AI Research Center for Industry-Academic Cooperation
Shinsaegae I&C (손정현) together with KAIST has opened the ‘Shinsegae I&C-KAIST AI Research Center’ for industry-academic cooperation and retail specialized AI technologies.
The opening ceremony was held on March 30th at the KAIST IT Building. SSG I&C CEO Jeonghyun, Son, Strategic IT Business Team Younji, Yang, head of EE department Joonhyuk Kang, and head of SSG I&C-KAIST AI research center Dae-Shik Kim attended the opening ceremony.
The SSG I&C-KAIST AI was founded for developing AI based technologies for retail business instead of relying on short-term research projects. It will be specialized for retail-tech based applications and also work further on related industry-academic cooperation based research projects.
The center’s research achievements will be quickly applied to the industry field. We expect the AI vision technology used for self-service stores and deep learning based technologies for predicting demands will be instantly applied on retail trend related AI services.
Research team of EE Prof. Myoungsoo Jung, Shinhyun Choi, Wanyeong Jung was selected as Samsung’s Future Technology development of 2021
Professors of School of Electrical Engineering Prof. Myoungsoo Jung, Shinhyun Choi, Wanyeong Jung ‘s research project was selected as Samsung’s Future Technology Development of 2021. The project covers a wide range of fields including computer architecture, AI frameworks, operating systems, circuits and devices. It is the first ICT convergence creative project with multidisciplinary project that covers device-circuit-systems in the Future Technology Development .
The details of the selected project is as follows:
Field |
Project name |
Project Manager |
ICT Convergence creative project |
Heterogeneous new memory-based hardware and system software framework for accelerating graph neural network based machine learning. |
Myoungsoo Jung |
The research team focuses on speeding up the popular GNN based machine learning model that uses relationship information in graph data. The project tries to solve the fundamental problems of GNNs by providing solutions from the device, circuit, architecture and operating system level.
The selection of the project is significant in that it suggests a multidisciplinary cooperation between device, circuit and computer science experts and builds a practical solution to the problem.
Samsung Elecgronics has been selecting Future Technology proejcts each year since 2014. Samsung Electronics selects vital technological projects that is necessary for the future of the country from fields of natural science, information communication technology.
Congratuations and a great thanks to the professors.
Our department’s professor Jeong’s research team has developed a brain transplant device that can be charged wirelessly. The phone-controlled device can manipulate the brain’s neural circuits by using light without the need for changing the battery after being transplanted. The research was conducted along with Yonsei University Medical School’s professor JungHoon Kim’s research team.
One of the great advantages of this research is that it can be applicable for curing mental illnesses such as Parkinson’s disease and animal experiments that need long-time monitoring.
Our department’s Ph.D candidate Choongyun Kim and Yonsei University’s Ph.D candidate Minjung Koo have been enlisted as co 1st authors in the paper published in Nature Communications last January 22. (Paper title : Soft subdermal implant capable of wireless battery charging and programmable controls for applications in optogenetics)
The research team will expand the research for further miniaturization and MRI-based applications. The research was funded by Ministry of Science & ICT, Korea Research Foundation and KAIST.
We congratulate professor Jeong and Ph.D candidate Choongyun Kim for the innovative research.