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  • Prime Minister Award

    Professor Daeyoung Kim received a Prime Minister Award for his contributions to Government Innovation, especially in public data strategies. Prof. Kim is a Professor at the KAIST School of Computing. He is also the Director of the Real-time and Embedded Systems Laboratory and the Director of Auto-ID Labs at KAIST. His research interests are Operating Systems, Wireless Network Protocols, (GPGPU) Cloud Computing, and the Internet of Things. He is actively collaborating with numerous international research groups from Universities: MIT, Stanford, Cambridge, UCL, TU Vienna, ETH Zurich, HESSO, U. of Murcia, Keio, Fudan, National Taiwan University of Science and Technology, Adelaide, University of Vale do Rio dos Sinos, Khalifa University, and King Saud University. https://www.yna.co.kr/view/PYH20181226167600013?section=search

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  • Professor Cha Mi-young was Chosen as IBS CI(Chief ..

    The Institute of Basic Science (IBS) selected three professors, Sang-il Eom, Homin Kim, and Meeyoung Cha, to explore new areas of basic science and conduct challenging independent research. The CI system supports independent research by the research manager of global research institutions. The research manager selected as CI forms an independent research group within the Pioneer Research Center (PRC). The PRC is a IBS research group and each group will receive between 10 and 1.5 billion won in research funds for five years. Among them, Meeyoung Cha, a professor of the School of Computing, will take charge of the Data Science Research Group. She is going to conduct a Data Science Study, which is necessary to analyze and solve the problems that appear in today’s network-connected information society. Based on human-social system modeling and analysis, Prof. Cha is focusing on calculating social science that has great potential for future society. “We will contribute to society by developing important future technologies, including detection of fake news based on big data and studying artificial intelligence that is comprehensible and fair,” Prof. Cha said. http://www.edaily.co.kr/news/read?newsId=01666246619434584&mediaCodeNo=257&OutLnkChk=Y

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  • KAIST Develops Next Generation Binary Analysis Pla..

    Over the past three years, Cha Sang-gil, a professor of School of Computing of KAIST, and his students have developed B2-R2, a technique for analyzing vulnerabilities in binary code using artificial intelligence technology with Cybersecurity Research Center(Director Professor Kim Yong-dae of Electrical and Electronic Engineering). B2-R2 is a performance system of 'Automatic Reverse Engineering and Vulnerability Detection-Based Technology Development' that is a research project by the Ministry of Science and ICT that can be used in various computer security areas such as ▲software security vulnerability analysis ▲Analysis of malicious code ▲Releasing obfuscation ▲Security Patch ▲Automatic Creation of Exposure plot. Compared to the binary analysis systems developed overseas, B2-R2 system is highly utilized (available on all operating systems such as Windows, Linux, Mac, Android, iOS) and has at least 2 to 100 times the analysis speed and maximizes the ease of analysis using the latest functional language, F#, and has a variety of interfaces with 32 programming languages. Not only is it the first binary code analysis system in Korea, but it also surpasses the BAP of Carnegie Mellon University and Angr of UCSB, which lead the field. The importance of binary analysis technology, known through ‘Next Generation binary analysis platform B2-R2 Technology Explanation Conference’ on Dec. 4, has become widely known through the Cyber Grand Challenge (CGC), the world's first computer-to-computer hacking attack and defense competition hosted by the Defense Department of Defense (DARPA) in 2016. With various security threats such as malicious code, APT attack, and DDoS attack being carried out by human hackers, the competition has become a signal for the emergence of AI-based machine hackers and can be understood as a core technology to prepare for a paradigm shift for information protection of the fourth industrial revolution. Professor Cha Sang-gil is known to be the main author who designed the core engine of the CGC championship, Mayhem, which was held in the U.S. and won the title by overwhelming margin at 2018 Information Security R&D Data Challenge Auto Detect based on AI, a Korean version of the CGC, on November 30. It is known that at the center of the system used for the contest by Cha Sang-gil B2-R2 technology which he developed with KAIST students for three years. According to information protection experts, KAIST's Cha Sang-gil team has secured key technologies in the field of 'automatic detection and response of AI-based vulnerabilities' that surpasses the world's highest level through this technical briefing and domestic competitions.

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  • APLAS 2018 International Congress was chaired by P..

    The 16th APLAS (Asian Symposium on Programming Language and Systems), which KAIST supported as a Gold Sponsor, was held in Wellington, New Zealand, December 3, 2018. Professor Sukyoung Ryu, chair of the program, invited three world-renowned lecturers: Amal Ahmed (USA), Azalea Raad (MPI-SWS, Germany), and Bernard Scholes (University of Sydney, Australia), and conducted various programs including presentations of papers and poster sessions and workshops on December 2 and December 6, 2018.

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  • Won K-ICT Cloud Industry Awards

    KAIST School of Computing won the K-ICT Cloud Industry Awards(Minister’s Award) at 2018 Grand Cloud Conference held at COEX in Seoul for building and operating a cloud that is currently being utilized. It was recognized as a good example of building a cloud operating system on idle equipment and providing computing for regular course and research tasks at the same time, and applying an operating system using open-source OpenStack. On the other hand, '2018 Grand Cloud Conference' is a Cloud Conference that summarizes the achievements of South Korea's Cloud industry and shares directions for future development. This is the place to discuss introducing and converging public and private clouds.

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  • Professor Jinah Park delivered a keynote lecture a..

    Professor Jinah Park of the School of Computing at KAIST delievered a keynote lecture on the topic “Hippocampal Morphology Study based on Progressive Template Deformable Model” at the International Conference on Medical Imaging and Case Reports 2018 held in Baltimore in the U.S. from October 26 to 28, 2018. The event involved 70 people from 48 institutions in 23 countries. The event attracted many researchers who are influential in medical images and clinical studies including Dr. Marth Shenton from Harvard Medical School, Professor Polina Golland of MIT, Michael Miller and Professor Jeffery Siewerdwen of Johns Hopkins University.

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  • Top 15 Most Impactful Early Career Researchers in ..

    Professor Shin Yoo has been identified as one of the top 15 most impactful early career researchers in software engineering by a bibliographic study published in the Journal of Systems and Software in October 2018. The result is based on analysis of 14,456 papers as well as their citation counts published in top journals and conferences between 2010 and 2017. Prof. Yoo is an associate professor at the KAIST School of Computing. From 2012 to 2015, he was a lecturer of software engineering in the Centre for Research on Evolution, Search, and Testing (CREST) at the University College London, UK. Prof. Yoo received a Ph.D. in Computer Science from King’s College London, UK, in 2009. His main research interest is in Search Based Software Engineering (SBSE), specifically, the use of meta-heuristics and computational intelligence, such as genetic algorithm, to automatically solve various problems in software engineering, especially those related to testing and debugging.

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  • Professor Min H. Kim has chosen the best research ..

    Professor Min H. Kim has chosen the best research and development of 2018 top 100 Six professors from KAIST have been selected for the "Top 100 2018 state research and development" announced by the Ministry of Science and ICT and the Korea Institute for Science and Technology Planning. The winners are Il-du Kim and Byeong-gook Park at the Department of New Material Engineering, Ho-min Kim at the Graduate School of Medicine, Jae-woo Lee at the Department of Biochemistry, Min H. Kim at the School of Computing, and Kyung-chul ​ Choiat the Department of Electrical and Electronic Engineering. Professor Min H. Kim of the School of Computing was chosen for excellence in the field of information and electronics. It was recognized that he developed high-performance imaging technology to obtain high-performance images. Professor Il-du Kim was chosen as the best performance in the field of machinery and materials. It was recognized that he developed ultra-high sensitivity gas sensor platform material based on self-assembly organic complex catalyst coupling. Professor Byung-kook Park was also chosen for excellence in the machine and material fields. He has developed a material technology that obtains spin current from heat. Ho-min Kim , a professor at the medical school, was selected as the best performance in the life and ocean fields. It has established the 3rd structure and molecular warfare of core protein that controls the formation of synapses. Professor Jae-woo Lee has been chosen for excellence in energy and the environment. He was credited with developing high-value carbon-material synthesis technology. Kyung-chul Choi was chosen as the best performance in information and electronics. It was recognized that it developed a smooth display that was implemented on top of clothes. The performance selected for excellence will be awarded to the Minister of Science and ICT with a certificate and a signboard. The six selected professors will be nominated as candidates for the state-funded R&D achievement evaluation (medal, presidential citation, and the prime minister's citation) and will receive preferential treatment in the selection of new R&D projects.

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  • Top 100 R&D Achievement of 2018

    Professor Min H. Kim was selected for the “Top 100 Research and Development Projects of 2018” with five other professors at KAIST, announced by the Ministry of Science and ICT and the Korea Institute for Science and Technology Planning. His work was selected for excellence in the field of information and electronics. Prof. Kim and his team developed high-performance imaging technology to obtain high-performance images. The professors selected for excellence are awarded a certificate by the Minister of Science and ICT. The awardees were nominated as candidates through the state-funded R&D achievement evaluation and will receive preferential treatment in the selection of new R&D projects.

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  • KAIST School of Computing Professor Yang Eun-Ho a..

    "DropMax," "Adaptive Variable Softmax," "Uncertified-Aware Attachment," a joint study by Professor Yang Eun-Ho and Professor Hwang Seong-ju of the KAIST School of Computing, were published by Neural Information Processing System (NIPS) 2018 (acceptance rate:20.8 %), the world's best academic institution. The paper was published as follows: [DropMax: Adaptive Variational Softmax] In this paper, we propose techniques to improve the performance of the systeresis by applying Dropout techniques to softmax functions that are originally applied to multi-class identification. At each learning quarter, the whole class' subset is randomly sampled according to the learned Dropout probability and the discrimination is performed. There is meaning that is is a ensemble of different discriminations', and it also has the effect of making more comparisons between classes that are likely to be confused with each other. Deep Bayesian techniques enable the learning and reasoning of this probabilistic neural network. Specifically, it has been experimentally verified in this paper that inducing a Dropout mask, the probability of being a target label for each class, differently for each input instance and correctly deduplicating the values is important for improving performance, thereby enabling more reliable learning and reasoning. [Uncertainty-Aware Attention for Reliable Interpretation and Prediction] Existing in-depth neural networks cannot take into account uncertainty in the in-depth learning process of predictive models, so the learning model has the potential to predict the wrong situation, and the uncertainty present in the data and the model itself has led to false predictions. The "Uncertified-Aware Attachment for Reliable Interprevention and Prescription" paper is a way to overcome existing uncertainty problems. The "Uncertified-Aware Attachment for Reliable Interprevention and Prescription" paper is a way to overcome existing Uncertainty problems. Uncertainty-Aware Attachment Mechanism, which allows input-adaptive organic learning by identifying data and model conditions regarding uncertainty, was presented. This paper has experimentally demonstrated that, with respect to the performance of modern machine learning algorithms, the ability to interpret accurate models with corrected model predictive performance and uncertainty is outstanding through UA framework. [Joint Active Feature Acquisition and Classification with Variable-size Set Encoding] This paper addresses the question of learning policies to obtain effective information at a lower cost in situations where the cost of obtaining the necessary information in the classification (e.g., examination costs) is incurred, such as diagnosing diseases. When diagnosing patients, it is reasonable to perform the necessary tests according to the individual's condition rather than carrying out and diagnosing all the same types of tests. In this paper, it jointly learns about dynamic feature acquisition policies and classification models that determine the required information sequentially based on the information currently in place. To this end, we defined a function for the purpose of considering both the classification performance and the costs necessary to obtain information, and presented a joint learning framework for the feature acquisition policy and classification model using in-depth hardening learning. In addition, experiments using synthetic and medical data have shown that the performance is cost-effective compared to static feature acquisition methods or previous studies.

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  • Intelligent Service Integration (ISI) Laboratory o..

    Intelligent Service Integration (ISI) Laboratory of KAIST School of Computing(Prof. Han Dongsoo) has decided to carry out the international academic project for the development of Global Indoor Positioning System with Global H Company. Global H will support KAIST $ 400,000 for the project, which will be accompanied by technology transfer. The ISI Lab, which developed the KAIST Indoor Positioning System (KAILOS) in 2014 and released to the public, has recently developed a crowd sourcing AI technique that automatically labels the location of wireless signals acquired from unspecified number of smartphone users. In this joint international project, KAIST will upgrade location labeling AI technique using crowdsourcing to commercialization level. If the project is successfully performed, H Company is expected to install the system developed by KAIST its products and commercialize it. Professor Han Dongsoo, who will lead the international industry project with H company to be conducted over the next year, said, "It is a pity that the technology developed by KAIST will be commercialized through overseas companies before the domestic companies. The result is that domestic regulations on location services are too strict. " Professor Han Dongsoo said, "It is significant that a global company recognized the technology developed by KAIST and commissioned an industrial project for commercialization. Technology continues to decline and disappear if not developed. We will continue to expand international industry-academia cooperation in the field of indoor location recognition in the future. "

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  • Professor Kim Kwang-Jo, publication on network int..

    Kim Kwang, professor of KAIST (President: Sang Chul Shin) Graduate School of Computing and Information Security Graduate School, along with Muhamad Erza Aminanto and Dr. Harry Chandra Tanuwidjaja, Ph.D. students from Indonesia, wrote an English book called “Network Intrusion Detection using Deep Learning : A Feature Learning Approach” (in the aspected of network intrusion detection using features of deep learning) which supported by IITP’s project on “Communication Technology Research using Bio-inspired Algorithm” from April 2018 to February 2018. He has published this in one of the cyber security systems and networking series at Springer, a prominent publisher in Germany. This book introduces various methods of intrusion detection system using deep learning, which is artificial intelligence technique and widely used in computer vision, natural language processing, image processing, etc., and described an intrusion detection technique which extracts and learns the features of intrusion traffic with very high scan rate (99.918%) and low false positives (0.012%) compared to existing skills. Annexes include technical trends on artificial intelligence techniques for detecting malicious codes. This book will serve as a good guide for undergraduate and graduate students, R & D personnel in providing practical knowledge of establishing cyber security systems regarding graft artificial intelligence onto cyber security. 참조: https://www.springer.com/gp/book/9789811314438

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  • Professor Moonzoo Kim delivered a keynote speech a..

    Professor Moonzoo Kim delievered a keynote speech at the 15th International Conference on Formal Aspects of Component Software (FACS) which was held from October 10 to 12, 2018 with Professor Edward Lee of UC Berkeley and Professor Gigore Rosu of UIUC. His talk was titled “Lessons Learned from Automated Analysis of Industrial SW for 15 Years”.

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  • Professor Hwang Sung-joo, selected as the winner i..

    Professor Hwang Sung-joo of School of Computing was selected as the winner in the Google AI Intensive Research Awards program announced on September 13th through Google Korea blog. related article: https://korea.googleblog.com/2018/09/googleaifocusedresearchawardsprogram.html

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  • Google AI Intensive Research Award

    Professor Sung Ju Hwang was selected as a winner in the Google AI Intensive Research Awards program. Prof. Hwang is an Assistant Professor at the KAIST School of Computing. Prior to working at KAIST, he was an Assistant Professor in the School of Electric and Computer Engineering at UNIST, and prior to that he was a postdoctoral research associate at Disney Research, working under the supervision of Professor Leonid Sigal. He received a Ph.D. in computer science at the University of Texas at Austin under Professor Kristen Grauman. During his Ph.D. study, he also closely collaborated with Prof. Fei Sha at the University of Southern California.

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  • KAIST developed watermarking technology based on a..

    Related articles "KAIST, Artificial Neural Network based watermarking technology development" of Professor Lee Heung-kyu of School of Computing http://www.irobotnews.com/news/articleView.html?idxno=14980 http://news.mt.co.kr/mtview.php?no=2018091114354893731

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  • Professor Choi Key-Sun fixed incorporation COLING ..

    Professor Choi Key-Sun, head of bidding committee for International Conference on Computational Linguistics(COLING), participated in the presentation of the ICCL Steering Committee held in Santa Fe, New Mexico from 20th to 26th August, and confirmed the 29th COLING in Gyeongju, Korea in 2022. Computational linguistics is a core area of ​​the Fourth Industrial Revolution that completes artificial intelligence as an integrated field of computer science and linguistics that allows machines to understand and respond to human speech and writing. COLING is a global conference on computerized languages with over 1200 participants from 50 countries every two years. It has been held tying the authoritative ACL (The Association for Computational Linguistics) and the International Conference on Language Resources and Evaluation (LREC) in the field of computational linguistics. The Main Conference has about 1,000 papers submitted, about 300 of which are presented. The main conference includes demo sessions, tutorials, and more than 10 workshops. COLING 2022 is expected to be held for about one week starting from Hangul Day on Oct. 9, 2022. It is expected to contribute greatly to the development of computer language related industries and human resources development. It will be able to show the status and leadership of computer linguistics in Korea.

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  • Professor Min H. Kim selected as 6 core patent tec..

    Professor Min H. Kim selected as 6 core patent technologies of KAIST "Ultra Spectroscopic Imaging Technology" of Professor Min H. Kim of School of Computing has been selected as the six key patent technologies of KAIST and announced at the COEX Seminar on September 10, 2018 in Samseong-dong. This event is a six-key patent technology including biotechnology, artificial intelligence, nanotechnology, and semiconductor fields such as immuno-activated chemotherapy and AI-based super high-resolution image conversion technology. 2018 KAIST Core Tech Transfer Day website: http://tech4.kaist.ac.kr/ [Related article : ETNews ] http://www.etnews.com/20180920000185 2018 KAIST Core Tech Transfer Day Introduction KAIST (President, Shin, Sung-cheol) introduces six key patent technologies, including the 'Immune Activation Cancer Therapeutics' to activate the immune response of the patient to induce the body's innate immune system to kill cancer cells and 'ultra-high-resolution image conversion hardware technology' which instantly convert low-resolution images to high-resolution images (4K UHD) using real-time AI (Deep Learning) technology , which will be commercialized immediately. KAIST announced on October 3 that '2018 KAIST key patent technology transfer briefing seminar' will be held at COEX, Seoul, from 1 pm on October 10 under the supervision of the Industry-academia cooperation team (chief, Choi Kyung-chul). This seminar was designed to create an industry-university cooperation model that not only creates jobs but also enhances corporate competitiveness by transferring the superior technologies possessed by researchers of KAIST to companies. Officials from industry-academia cooperation team said that "We prepared this briefing as part of the innovation plan for technology commercialization, one of the five innovation areas of KAIST Vision 2031, which announced in March that KAIST will become the world's leading university by 2031." and announced that they will hold a briefing every year to select patent technology and transfer it to companies. KAIST plans to provide business finance support services through cooperation with the Technology Guarantee Fund to companies that transfer selected technologies. These companies will also receive various services from KAIST, such as business model development, patent-R & D linkage strategy analysis, domestic and foreign marketing priority promotion. The technology that KAIST introduced this year is the core patent technology of bio, nano, artificial intelligence, and semiconductor which is the center of the 4th industrial revolution. ① New nano patterning platform technology (Prof. Jung Hee Tae, Department of Chemical and Biological Engineering) ② Obtain candidate substances for immuno-activated chemotherapy (Prof. Byung-Seok Choi, Department of Chemistry) ③ Technology capable of mass production of biofuels using microorganisms (Professor Lee Sang-yeol, Department of Biochemical Engineering). ④ Compact single-shot ultra-spectral camera technology (Prof. Min H. Kim, School of Computing) ⑤ High-speed, high-resolution up-scaling technology based on AI (Deep Learning) (Prof. Moon-Chul Kim, Department of Electrical and Electronics Engineering) ⑥ Radiation-resistant MOSPET device (Prof. Hee-cheol Lee, Department of Electrical and Electronics Engineering) are included in six core patent technologies. In particular, Prof. Kim Mun-cheol and Prof. Min H. Kim's patent technology was introduced and exhibited at the International Household Appliance Expo (IFA 2018) held in Berlin, Germany from August 31 to September 5, attracting much attention from participants. The six core technologies selected by KAIST are highly influential in the industry and have been chosen considering the applicability to various fields in the future, market size, and technological innovation. To this end, KAIST has been conducting public consultations on excellent technologies in the campus, where professors directly researched and developed the patent, consulted and evaluated them with a panel of about 15 judges, including patent attorneys, venture investors, and commercialization experts. About 200 people, including business stakeholders and investors, will be invited to discuss the mutual cooperation plan including technology development and technology transfer. Professor Lee Sang-yeop, a researcher, and 6 professors will attend the meeting, present 15 minutes for each patented technology and consult about technology transfer at the site. In addition to this, President Shin Sung-chul, acting president of Korea Technology Guarantee Fund Kang Nak-kyu, CEO of Korea Softbank Lee Joon-pyo, and the president of KAIST's alumni association Cha Gi-cheol will participate in the 4th Industrial Revolution era and emphasize the significance of technology commercialization related to advanced technology held by the university. Professor Kyung-chul Choi, head of the KAIST's Industrial and Academic Cooperation Group, said, "With this tech transfer briefing, we will introduce the core patent technologies of KAIST to companies and develop them into global growth." "We will continue to discover core patent technologies and ideas for various projects that have not yet been discovered, thus activating the technology business using core technologies and actively pursuing industrial cooperation projects." said Choi.

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  • Professor of Yoon Sung-ui selected as ACM Senior M..

    Professor Yoon Sung-ui was selected as an ACM Senior Member in June 2018. The Association for Computing Machinery (ACM) was established in 1947 and is the world's first association of academics and academics in the field of computer science. As of 2007, there are about 83,000 members worldwide. ACM members who have demonstrated technical leadership for more than 10 years have been selected as senior members. Professor Yoon Sung-ui, who was selected as a senior member of ACM, won the test-of-time 2006 and the best paper award at the High Performance Graphics Society in 2015, was ACM Interactive 3D Graphics and Games (I3D) Co-President and Program Chair from 2012 to 2013, and held various tutorials in related research fields at IEEE and ACM conferences. So far, about 70 outstanding papers and high h-index have been recognized.

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  • Establishment of smart science museum exhibition r..

    Establishment of smart science museum exhibition research group to improve exhibitions of the 4th industrial revolution era (Development of exhibition service technology that combines indoor location recognition technology with AR / VR, IoT, AI technology) The exhibition guidance for the science museum is expected to be renewed. KAIST (President, Shin Sung-chul) and the National Science Museum (President, Bae Tae-min) will showcase the smart science museum exhibition group that develops a system that guides the exhibition hall of science museum by linking indoor technology and key technologies of the fourth industrial revolution such as AR / VR and IoT Was launched. The research institute has nine universities including KAIST(School of Computing : Han Dong-su, Park Jin-a, Department of Industrial Design : Lee Ki-hyuk), Yonsei University, HanYang University and six research institutes including Electronic Component Research Institute and National Center for Science and Technology., A total of 15 tasks will be undertaken. From the second half of 2018 to 2022, about 13 billion won of government budget will be spent for four years. There have been many difficulties due to the lack of qualified and professional exhibition guides. The efficiency of exhibition guidance using smart phones was also slow. When the indoor location-based exhibition guidance system that the research team is aiming at is launched, visitors can receive exhibition information service through various methods including AR / VR technique depending on the location. Specifically, a service similar to the explanation of the exhibition guide will be provided through a smart phone. They will also apply living-wrapping techniques, which will be used to improve the exhibition, by conveying various feedbacks from spectators to the science museum immediately. The indoor location will utilize the KAIST Indoor Locating System (KAILOS), an indoor location recognition system developed by KAIST for a long time. Bae Jeong-Hoe of the National Science Museum said "Every year hundreds of thousands of young people visit the science museum. We should show them various examples of science contributing to the development of our society through exhibitions and instill dreams and inspiration through science. That is reason why the exhibition of science museum should be changed and developed in accordance with the 4th industrial revolution era. The exhibition should be changed in conjunction with the core technology of the 4th industrial revolution and the exhibition guidance should be made using the latest IT technology.”. Professor Han Dongsoo, the chair of the research group, said, "We will systematically organize the science museum display technology and exhibition contents into a smart science museum display platform, which will make the exhibition information system more flexible and easier to expand. AR/VR technology and indoor location recognition technology will be used in the exhibition guide.” The exhibition guidance system developed by the research team will be applied first to the National Science Museum and gradually expanded to 167 science museums across the country. It will be applied to museums and art museums in each district that show exhibits like a science museum. [그림] 주요 서비스

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  • Attracted research foundation Leading Research Cen..

    The MARS (Massive, Automated, Reliable, Secure) Artificial Intelligence Integrated Research Center, directed by Professor Alice Oh, was selected as a new project of the Leading Research Center (ERC) by the National Research Foundation of Korea with a total of 987.5 billion won of funding from 2018 to 2023. The MARS Center aims to develop AI technology that can be applied directly to the real world, taking into account not only AI algorithms but also the operating environment and infrastructure systems. The MARS Center will be attended by feature PIs from the KAIST School of Electronic Engineering, Seoul National University, and Sungkyunkwan University, in addition to Professors Alice Oh, Insik Shin, Shin Yoo, Eunho Yang, Hongseok Yang, and Sung Ju Hwang in the School of Computing. Research Foundation Notice Link: http://nrf.re.kr/biz/notice/view?nts_no=106413&menu_no=44&biz_no=&search_type=&search_keyword=&

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  • Emeritus Prof. Jin Hyung Kim won technology sector..

    On April 12, Prof. Jin Hyung Kim, an Emeritus Professor at the School of Computing, was selected as a winner of the technology sector of "The 21st Century Grand Prize." "The 21st Century Grand Prize" was established by NIMA (New Industry Management Academy) in commemoration of the founding of "21st-century executive club" in 1986. It is regarded as a "Nobel Prize in Business" to honor business executives who contributed to the development of Korean industry.

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  • Prof. Moonzoo Kim and his team received Distinguis..

    The paper, 'Invasive Software Testing: Mutating a Target Program to Diversify Test Exploration for High Test Coverage,' published by Prof. Moonzoo Kim of the KAIST School of Computing won the Distinguished Paper Award at IEEE ICST 2018 (International Conference on Software Testing, Verification and Validation, acceptance rate:25%). They suggest Invasive Software Testing, which is a new technology that goes beyond the existing SW testing paradigm. Invasive Software Testing extracts a variety of information from a number of variants of the target SW program and effectively detects errors in the field that the conventional SW testing cannot analyze. In the paper, they demonstrate experimentally that the SW analysis outcome is significantly improved compared to the latest testing technology through the DeMiner (guiDEed test generation using MutatIoN ExploRation) framework, which implements the Invasive Software Testing paradigm.

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  • Professor Sukyoung Ryu delivered a keynote speech ..

    Prof. Sukyoung Ryu delivered a keynote speech on “Static Analysis of Android Applications for Finding Bugs and Security Vulnerabilities” at <Programming> 2018. <Programming> 2018 is the International Conference on the Art, Science, and Engineering of Programming, where attendees discuss various theoretical, experimental, and engineering research results on programming. <Programming> 2018 was held in Nice, France from April 9 to 12, 2018.

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  • Prof. Juho Kim’s research team developed algorithm..

    Prof. Juho Kim and his research team developed an algorithmic platform for organizing and analyzing various sequential knowledge for a shared goal such as thousands of cooking recipes for a single dish. This research was done in cooperation with Prof. Maneesh Agrawala and his research team from Stanford University, USA, and a research team from EPFL, Switzerland. The article in Korean is available on the following website: http://www.etnews.com/20180409000376 This study was presented at ACM SIGCHI 2018, the premier conference in the field of HCI. The project website is available at the following address: https://recipescape.kixlab.org/

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  • Wanju Local Food cooperative adapted the agricultu..

    The Oliot platform, developed by a research team led by Prof. Daeyoung Kim, has been applied to Wanju Local Food cooperative, one of the largest agricultural cooperatives in Korea. The platform has been operational since April 5th. Articles in Korean can be found at the following: http://www.etnews.com/20180403000333 http://www.kaist.ac.kr/_prog/_board/?mode=V&no=79062&code=kaist_news&site_dvs_cd=kr&menu_dvs_cd=0601&list_typ=B&skey=&sval=&smonth=&site_dvs=&GotoPage=1 ​

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  • Prof. Shin Yoo has been appointed as an editorial ..

    Prof. Shin Yoo has been appointed as an editorial board member of Springer’s Empirical Software Engineering journal, starting from February 2018. Springer’s Empirical Software Engineering is an SCIE-indexed journal that specializes in empirical and data-driven software engineering research. ESE is one of the most prestigious software engineering journals: in 2016, ESE had an impact factor of 3.275 and a 5-year cumulative impact factor of 3.759. Google Scholar currently ranks ESE 12th among the software systems conferences and journals.

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  • Prof. Jinah Park’sresearch selected as 2017 KAIST ..

    Prof. Jinah Park and her research team’s work on "Hippocampal Shape modeling based on a Progressive Template Surface Deformation and Its Verification" has been selected as one of 2017 KAIST Top 10 representative R&D outcomes. The purposes of the 2017 KAIST Top 10 representative R&D outcomes are as follows: - To inspire researchers' motivation toward research by discovering and celebrating the outstanding achievements of KAIST R&D - To accumulate core technical information and outstanding accomplishments through continuous publications of annual reports and videos. - To induce the progress of a performance management system through systematic performance case management The award took place during the Research Day event in May 2018.

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