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MoU by KAIST-Seoul-Seocho-gu for the 4th Industrial Revolution
The opening ceremony of the Yangjae R&CD Innovation Hub was held in Seoul on December 5. More than 400 guests came to the ceremony from major institutes and companies that are based in the hub. KAIST President Sung-Chul Shin, the Mayor of Seoul, Won-soon Park, and the Mayor of Seocho-gu, Eun Hee Cho, signed an MoU for Seoul to be the leading city for successfully realizing the Fourth Industrial Revolution.
The three organizations aim to cooperate with one another in various areas, including an economic boost for local job creation, technology development, and the promotion of projects through an industry-academia-institute network and fostering manpower.
Yangjae R&CD is the first facility specializing in and dedicated for Artificial Intelligence, which is the major topic of the Fourth Industrial Revolution.
The hub is comprised of enterprises specializing in AI, open co-work spaces, conference rooms, an open networking lounge, and spaces for fostering professional manpower. The hub will recruit additional enterprises and individuals who wish to move in. KAIST, an institute containing professors and researchers in the field of AI, and Modulabs, an organization becoming distinguished in AI research, will be in charge of operating the facility together.
The Yangjae R&CD Innovation Hub will operate a professional training program with participation from KAIST professors, which aims to produce 500 professionals in AI research and development by 2020. It will also provide inexpensive space as well as consultations and venture capital to startup and venture companies. It plans to find and foster 50 innovation companies by 2020.
In particular, the hub will operate a course for new AI business models 24 times over three years.
The hub also offers job consultations, academic conferences, public space for companies residing in the hub, a free GPU cluster server, technical training, seminars, forums, investment attraction, overseas expansion, and one-to-one technical consultations.
The Yangjae R&CD Zone is the place established for the Fourth Industrial Revolution by Seoul. R&CD is a concept combining Research and Development, Connection, Companies, Community, and Culture.
Seoul aims to create the Yangjae Zone as an urban innovation hub for facilitating industry-academia linkage as well as establishing a startup-settlement-growth technical ecosystem.
2017.12.11 View 7964 -
Strengthening Industry-Academia Cooperation with LG CNS
On November 20, KAIST signed an MoU with LG CNS for industry-academia partnership in education, research, and business in the fields of AI and Big Data. Rather than simply developing education programs or supporting industry-academia scholarships, both organizations agreed to carry out a joint research project on AI and Big Data that can be applied to practical business.
KAIST will collaborate with LG CNS in the fields of smart factories, customer analysis, and supply chain management analysis.
Not only will LG CNS offer internships to KAIST students, but it also will support professors and students who propose innovative startup ideas for AI and Big Data. Offering an industry-academia scholarship for graduate students is also being discussed. Together with LG CNS, KAIST will put its efforts into propose projects regarding AI and Big Data in the public sector.
Furthermore, KAIST and LG CNS will jointly explore and carry out industry-academia projects that could be practically used in business. Both will carry out the project vigorously through strong cooperation; for instance, LG CNS employees can be assigned to KAIST, if necessary. Also, LG CNS’s AI and Big Data platform, called DAP (Data Analytics & AI Platform) will be used as a data analysis tool during the project and the joint outcomes will be installed in DAP.
KAIST professors with expertise in AI deep learning have trained LG CNS employees since the Department of Industrial & Systems Engineering established ‘KAIST AI Academy’ in LG CNS last August.
“With KAIST, the best research-centered university in Korea, we will continue to lead in developing the field of AI and Big Data and provide innovative services that create value by connecting them to customer business,” Yong Shub Kim, the CEO of LG CNS, highlighted.
2017.11.22 View 9439 -
IDKAIST Graduation Show, Interative and Innovative Works
Undergraduate students from the Department of Industrial Design at KAIST opened up their graduation show in the Industrial Design Building for eight days in KAIST from November 10 and another four days in Coex, Seoul from December 7.
The students showcased their creative and novel works in the exhibition. Some designs successfully showed change concepts such as for mixing straws. There were also several projects designed to meet individual demand, such as a customized shoe-making application and personal makeup colorings.
Since the establishment of its undergraduate program in 1983, the department has held a graduation show to demonstrate four years of the students’ academic work and research performance to KAIST members, externals specialists, and the public.
Professor Daniel Saakes, who is in charge of the show, said, “Please come by the show and support the 28 students for their hard work. This year, students’ projects are more socially-oriented through applications and social media, making them easily approachable for consumers.”
2017.11.13 View 5788 -
LG's Woo Jong Lee Named the Alumnus of College of Engineering
The College of Engineering at KAIST selected Woo Jong Lee, President and Head of the VC Business Division at LG Electronics Inc., as the 2017 Alumnus of the Year for the College of Engineering.
‘Alumnus of the Year’ is an award given to a distinguished alumnus who has contributed to the development of industrial technology or made outstanding academic achievements.
Lee graduated from KAIST with the master’s degrees in Industrial Engineering. He also worked at Daewoo Motors as an executive member in the development division. He has been a crucial human resource for LG since he joined the company in 2000.
While leading the VC business Division, which was established in 2013, Lee is recognized as a creative engineer as well as a leader in the automotive industry. Focusing on autonomous driving and eco-friendliness, he has been engaged in the production of major projects from the beginning to the end.
Since 2014, outstanding alumni whose achievements have represented KAIST at the highest level have received the award. The first recipient was Tae-Kyung Yoo, an executive at Lumens Co., Ltd., and the second recipient was Jung-Ju Kim, the founder of NXC. In 2016, the award was not given because an appropriate candidate could not be identified.
The award was held in the Industrial Engineering & Management Building (E2) on November 8. Faculty members including the dean of the College of Engineering Jong-Hwan Kim, the vice dean Hyochoong Bang, the head of Industrial & Systems Engineering Taesik Lee, and the dean of the KAIST Academy Tae-Eog Lee attended the ceremony.
After the ceremony, Lee delivered a lecture on ‘Auto-components Business of LG Electronics’ to KAIST students.
2017.11.09 View 7018 -
Professor Lee's Research Selected as Top 100 National R&D Projects
A research project, led by Research Professor Ju Yong Lee from the KAIST Institute for IT Convergence, was selected as one of the Top 100 National Research and Development Projects 2017.
This research project, titled LTE-A-based Single RF Small Base Station supporting Multiple Streams, developed 300Mbps low power, low complexity and broadband small base station technology that supports 4x4 MIMO (Multiple Input and Multiple Output) by proposing a new antenna structure and a new RF (Radio Frequency) structure based on LTE-A. Professors from the School of Electrical Engineering at KAIST, Dong Ho Cho, Songcheol Hong, and Yong Hoon Lee also collaborated on the project.
The existing heterodyne method of communication systems generates the problems of increasing unit price and system complexity.
In this project, however, Professor Lee directly modulated the baseband signal from the RF stage through an impedance loading-based RF chip. This method was designed to facilitate low power as well as low complexity while supporting broadband service. Based on this, his team developed source technology for RF that can be applied to fourth and even fifth generation networks.
Furthermore, this base station is smallest among the small-cell stations so far, providing an eco-friendly installation environment. It contributes to the market for fifth generation mobile communications by reducing power consumption significantly yet providing high-capacity services.
Professor Lee said, “This technology will contribute to creating a new market and additional jobs because business based on the fifth mobile generation can provide multi-functional services, including multiband. Requiring low power and providing high-capacity services anywhere at any time will enhance national competence and reduce costs for establishing a next generation mobile communication system. It is expected that this technology will help with disseminating mobile communication infrastructure through expanding information and communication system as well as the infrastructure of island areas.”
2017.11.08 View 7356 -
KAST Opened the Campus to the Public
KAIST hosted OPEN KAIST 2017 on the main campus from November 2 to 3, 2017. OPEN KAIST is a science and cultural event designed for students and the general public to experience and take a glance at research labs.
More than 10,000 visitors came to KAIST this year. Groups of families and students came to KAIST to experience various programs related to science.
Twenty departments, including Mechanical Engineering, Aerospace Engineering, the Graduate School of Cultural Technology, and Materials Science and Engineering participated in the event, along with three research centers and the Public Relations Office.
The event was composed of a total of 70 programs in four sections: lab tour, research performance exhibition, department introduction, and special lectures.
The kick off activity for the event was a trial game of the AI World Cup 2017 which will be hosted by KAIST in December 2017. Many people also visited the mobile health care showroom where they could experience what a future smart home and hospital would look like. It was also interesting to visit a futuristic living space for one-person households that provides virtual reality services.
KAIST hopes that the event offers an opportunity for children and students to get to know about science better. Professor Jong-Hwan Kim, the Dean of the College of Engineering at KAIST said, “OPEN KAIST is the one and only opportunity to visit and experience our research labs. KAIST will make every effort to take a step closer to the public by focusing on research that contributes to human society.”
2017.11.06 View 6132 -
Scientist of November, Professor Hyung Jin Sung
Professor Hyung Jin Sung from the Department of Mechanical Engineering at KAIST received a ‘Science and Technology Award of the Month’ given by the Ministry of ICT and Science and the National Research Foundation of Korea for November 2017. He developed technology that can exquisitely control a micrometer-scaled liquid drop on a dime-sized lab-on-a-chip. With his work, he was recognized for reinforcing research capability on microfluidics.
Lab-on-a-chip is an emerging experiment and diagnostic technology in the form of a bio-microchip that facilitates complex and various experiments with only a minimal sample size required. This technology draws a lot of attention not only from medical and pharmaceutical areas, but also the health and environmental field. The biggest problem was that technology for the temperature control of a fluid sample, which is one of the core technologies in microfluidics, has low accuracy. This limit had to be overcome in order to use the lab-on-a-chip more widely.
Professor Sung developed an acoustic and thermal method which controls the temperature of a droplet quickly and meticulously by using sound and energy. This is a thermal method that uses heat generated during the absorption of an acoustic wave into viscoelastic substances. It facilitates a rapid heating rate and spatial-temporal temperature control, allowing heating in desired areas. In addition, Professor Sung applied his technology to polymerase chain reactions, which are used to amplify DNA.
Through this experiment, he successfully shortened the reaction time from 1-2 hours to only three minutes, making this a groundbreaking achievement.
Professor Sung said, “My research is significant for enhancing the applicability of microfluidics. I expect that it will lead to technological innovations in healthcare fields including biochemistry, medical checkups, and new medicine development.”
2017.11.03 View 7978 -
Development of a Highly-Accurate Computational Model of Human Metabolism
A research team from KAIST developed a computational framework that enables the reconstruction of a comprehensive computational model of human metabolism, which allows for an accurate prediction of personal metabolic features (or phenotypes).
Understanding personal metabolic phenotypes allows us to design effective therapeutic strategies for various chronic and infectious diseases. A human computational model called the genome-scale metabolic model (GEM) contains information on thousands of metabolic genes and their corresponding reactions and metabolites, and has played an important role in predicting metabolic phenotypes. Although several versions of human GEMs have been released, they had room for further development, especially as to incorporating biological information coming from a human genetics mechanism called “alternative splicing.” Alternative splicing is a genetic mechanism that allows a gene to give rise to multiple reactions, and is strongly associated with pathology.
To tackle this problem, Jae Yong Ryu (a Ph.D. student), Dr. Hyun Uk Kim (Research Fellow), and Distinguished Professor Sang Yup Lee, all from the Department of Chemical and Biomolecular Engineering at KAIST, developed a computational framework that systematically generates metabolic reactions, and adds them to the human GEM. The resulting human GEM was demonstrated to accurately predict metabolic phenotypes under varied environmental conditions. The research results were published online in Proceedings of the National Academy of Sciences (PNAS) on October 24, 2017, under the title “Framework and resource for more than 11,000 gene-transcript-protein-reaction associations in human metabolism.”
The research team first updated the biological contents of a previous version of the human GEM. The updated biological contents include metabolic genes and their corresponding metabolites and reactions. In particular, metabolic reactions catalyzed by already-known protein isoforms were additionally incorporated into the human GEM; protein isoforms are multiple variants of proteins generated from individual genes through the alternative splicing process. Each protein isoform is often responsible for the operation of a metabolic reaction. Although multiple protein isoforms generated from one gene can play different functions by having different sets of protein domains and/or subcellular localizations, such information was not properly considered in previous versions of human GEMs.
Upon the initial update of the human GEM, named Recon 2M.1, the research team subsequently implemented a computational framework that systematically generates information on Gene-Transcript-Protein-Reaction Associations (GeTPRA) in order to identify protein isoforms that were previously not identified. This framework was developed in this study. As a result of the implementation of the framework for GeTPRA, more than 11,000 GeTPRA were automatically predicted, and thoroughly validated. Additional metabolic reactions were then added to Recon 2M.1 based on the predicted GeTPRA for the previously uncharacterized protein isoforms; Recon 2M.1 was renamed Recon 2M.2 from this upgrade.
Finally, Recon 2M.2 was integrated with 446 sets of personal biological data (RNA-Seq data) in order to build patient-specific cancer models. These patient-specific cancer models were used to predict cancer metabolism activities and anticancer targets.
The development of a new version of human GEMs along with the computational framework for GeTPRA is expected to boost studies in fundamental human genetics and medicine. Model files of the human GEMs Recon 2M.1 and 2M.2, a full list of the GeTPRA and the source code for the computational framework to predict the GeTPRA are all available as part of the publication of this study.
Distinguished Professor Lee said, “The predicted GeTPRA from the computational framework is expected to serve as a guideline for future experiments on human genetics and biochemistry, whereas the resulting Recon 2M.2 can be used to predict drug targets for various human diseases.”
This work was supported by the Technology Development Program to Solve Climate Changes on Systems Metabolic Engineering for Biorefineries (NRF-2012M1A2A2026556 and NRF-2012M1A2A2026557) from the Ministry of Science and ICT through the National Research Foundation (NRF) of Korea.
(Figure 1:A scheme of Recon 2M.1 development and its use in reconstructing personal genome-scale metabolic models (GEMs). (A) A concept of alternative splicing of human genes and its use in Gene-Transcript-Protein-Reaction Associations (GeTPRA) of Recon 2M.1. (B) A procedure of systematic refinement of the Recon 2Q. Recon 2Q is one of the previously released human GEMs. Biochemically inconsistent reactions include unbalanced, artificial, blocked, and/or redundant reactions. Iterative manual curation was conducted while validating the Recon 2M.1. (C) Reconstruction of cancer patient-specific GEMs using Recon 2M.1 for further simulation studies. In this study, personal biological data (RNA-Seq data) were obtained from The Cancer Genome Atlas (TCGA; https://cancergenome.nih.gov/ ) across the ten cancer types.
(Figure 2: Computational framework for the systematic generation of Gene-Transcript-Protein-Reaction Associations (GeTPRA; red box in the flowchart). Peptide sequences of metabolic genes defined in Recon 2M.1 were retrieved from a database called Ensembl. EC numbers and subcellular localizations of all the protein isoforms of metabolic genes in Recon 2M.1 were predicted using software programs EFICAz2.5 and Wolf PSort, respectively. Information on the newly predicted GeTPRA was systematically incorporated into the Recon 2M.1, thereby resulting in Recon 2M.2.)
2017.10.25 View 8510 -
Professor Dai Gil Lee Recognized by the ICCS
Emeritus Professor Dai Gil Lee, from the School of Mechanical and Aerospace Engineering at KAIST, received a special achievement award from the 20th International Conference on Composite Structures (ICCS).
ICCS is a renowned conference in the field of applied composite structures, which highlights the practicality of composite structures. This year, the conference was held at the Conservatoire National des Arts et Métiers (CNAM), Paris, France from September 4 to 7. Approximately 650 papers were presented from 45 countries.
Especially, the conference honored Emeritus Professor Lee, who has been engaged in ICCS since 1993 and received best paper award twice. The ICCS recognized him for serving with distinction in science and technology in the fields of composite materials and structures. As a member of the Editorial Board for many years, he gave significant support to the journal Composite Structures. At the conference, he gave a special lecture titled ‘Lightweight Carbon Composite Proton Exchange Membrane Fuel Cells’.
Professor Lee said, “I will dedicate myself to innovate Vanadium Redox Flow Battery-ESS (VRFB) based on the research findings announced at the conference and related patents. I am hoping that these efforts will contribute to solving energy issues around the world.”
2017.10.19 View 6401 -
Sangeun Oh Recognized as a 2017 Google Fellow
Sangeun Oh, a Ph.D. candidate in the School of Computing was selected as a Google PhD Fellow in 2017. He is one of 47 awardees of the Google PhD Fellowship in the world.
The Google PhD Fellowship awards students showing outstanding performance in the field of computer science and related research. Since being established in 2009, the program has provided various benefits, including scholarships worth $10,000 USD and one-to-one research discussion with mentors from Google.
His research work on a mobile system that allows interactions among various kinds of smart devices was recognized in the field of mobile computing. He developed a mobile platform that allows smart devices to share diverse functions, including logins, payments, and sensors. This technology provides numerous user experiences that existing mobile platforms could not offer. Through cross-device functionality sharing, users can utilize multiple smart devices in a more convenient manner. The research was presented at The Annual International Conference on Mobile Systems, Applications, and Services (MobiSys) of the Association for Computing Machinery in July, 2017.
Oh said, “I would like to express my gratitude to my advisor, the professors in the School of Computing, and my lab colleagues. I will devote myself to carrying out more research in order to contribute to society.”
His advisor, Insik Shin, a professor in the School of Computing said, “Being recognized as a Google PhD Fellow is an honor to both the student as well as KAIST. I strongly anticipate and believe that Oh will make the next step by carrying out good quality research.”
2017.09.27 View 9968 -
Semiconductor Patterning of Seven Nanometers Technology Using a Camera Flash
A research team led by Professor Sang Ouk Kim in the Department of Materials Science and Engineering at KAIST has developed semiconductor manufacturing technology using a camera flash.
This technology can manufacture ultra-fine patterns over a large area by irradiating a single flash with a seven-nanometer patterning technique for semiconductors. It can facilitate the manufacturing of highly efficient, integrated semiconductor devices in the future.
Technology for the Artificial Intelligence (AI), the Internet of Things (IoTs), and big data, which are the major keys for the fourth Industrial Revolution, require high-capacity, high-performance semiconductor devices. It is necessary to develop lithography technology to produce such next-generation, highly integrated semiconductor devices.
Although related industries have been using conventional photolithography for small patterns, this technique has limitations for forming a pattern of sub-10 nm patterns.
Molecular assembly patterning technology using polymers has been in the spotlight as the next generation technology to replace photolithography because it is inexpensive to produce and can easily form sub-10 nm patterns. However, since it generally takes a long time for heat treatment at high-temperature or toxic solvent vapor treatment, mass production is difficult and thus its commercialization has been limited.
The research team introduced a camera flash that instantly emits strong light to solve the issues of polymer molecular assembly patterning. Using a flash can possibly achieve a semiconductor patterning of seven nanometers within 15 milliseconds (1 millisecond = 1/1,000 second), which can generate a temperature of several hundred degrees Celsius in several tens of milliseconds.
The team has demonstrated that applying this technology to polymer molecular assembly allows a single flash of light to form molecular assembly patterns.
The team also identified its compatibility with polymer flexible substrates, which are impossible to process at high temperatures. Through these findings, the technology can be applied to the fabrication of next-generation, flexible semiconductors.
The researchers said the camera flash photo-thermal process will be introduced into molecular assembly technology and this highly-efficiency technology can accelerate the realization of molecular assembly semiconductor technology.
Professor Kim, who led the research, said, “Despite its potential, molecular assembly semiconductor technology has remained a big challenge in improving process efficiency.” “This technology will be a breakthrough for the practical use of molecular assembly-based semiconductors.”
The paper was published in the international journal, Advanced Materials on August 21 with first authors, researcher Hyeong Min Jin and PhD candidate Dae Yong Park.
The research, sponsored by the Ministry of Science and ICT, was co-led Professor by Keon Jae Lee in the Department of Materials Science and Engineering at KAIST, and Professor Kwang Ho Kim in the School of Materials Science and Engineering at Pusan National University.
(1. Formation of semiconductor patterns using a camera flash)
(Schematic diagram of molecular assembly pattern using a camera flash)
(Self-assembled patterns)
2017.09.18 View 10017 -
Professor Jun Ho Oh's Total Solar Eclipse Featured in the APOD, NASA
(Professor Jun Ho Oh)
A video of a total solar eclipse, filmed in Warm Springs, Oregon by Professor Jun Ho Oh of the Department of Mechanical Engineering, was selected as the Astronomy Picture of the Day (APOD).
APOD, is a NASA website specializing in astronomy pictures. It features astronomical observations recorded by the Hubble Space Telescope or photos taken by astronomical observers from around the world.
Professor Oh is now the second Korean and the first amateur photographer whose photo was selected as the APOD.
According to the website, ‘the video frames were acquired with equipment specifically designed by Jun Ho Oh to track a close-up of the Sun’s periphery during the eclipse.’
Also, Digital Photography Review (dpreview.com) introduced observation points of the eclipse in his three-minute video, including solar prominences, corona, and Baily’s beads.
Professor Oh, the creator of the bipedal walking humanoid robot named Hubo, has been chasing eclipse since his first trip to Turkey in 1999.
“After numerous trials and failures over the last 18 years, I was finally able to capture every single breath-taking moment of the total eclipse,” said the professor.
He’s already planning for the next total eclipse in Chile on July 2, 2019.
Click the link to watch the video https://apod.nasa.gov/apod/ap170912.html
(#1 Photo of solar eclipse)
(#2 Photo of solar eclipse)
2017.09.14 View 5788