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  • Prof. Min H. Kim Awarded Top 10 Distinguished Rese..

    Our very own School of Computing Professor Min H. Kim won a Top 10 Distinguished Research Achievements of KAIST award during the 2017 KAIST Research Day, held Tuesday morning at KI building’s Fusion Hall. The award recognized his contributions to KAIST, citing his research in “Bi-refractive Stereo Imaging for Single-Shot Depth Acquisition”. We sincerely congratulate him on his accomplishment.

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  • KAIST to develop quantum computer proof ‘fully hom..

    Below is an article on School of Computing Professor Kwangjo Kim’s efforts on developing ‘fully homomorphic crypto-signature’ to prepare us for the age of quantum computing. (in Korean) http://www.etnews.com/20170509000056

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  • KAIST Professor Kwangjo Kim becomes the first Kore..

    Following is a link to the ET News article on Professor Kwangjo Kim, the first Korean International Association for Cryptologic Research Fellow. http://www.etnews.com/20170501000100

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  • Prof. Insik Shin awarded Samsung Future Technology..

    Our very own School of Computing Professor Insik Shin was awarded Samsung Future Technology Promotion Project, Creative ICT Component. The project launched in 2013 to provide support for basic research, material science, and ICT, with 1.5 trillion won of funding for 10 years. Prof. Shin was awarded the project for: “SecureBox: development of a TEE-based secure system in a cloud / machine learning service environment for user privacy protection”. We congratulate him on the selection. http://www.ebn.co.kr/news/view/885637

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  • Prof. Kwangjo Kim designated International Associa..

    Following is an article on how our very own Prof. Kwangjo Kim became the first Korean to become an International Association for Cryptologic Research (IACR) Fellow. Since 2004, the IACR has selected 2 to 6 members a year as IACR Fellows for their major contributions to and the promotion of scholarly activities in the field of cryptologic research. Prof. Kwangjo Kim is the first Korean to receive such an honor We most sincerely congratulate him on his success. Article (in Korean): http://www.zdnet.co.kr/news/news_view.asp?artice_id=20170313102345&type=det&re=#csidx2f36e03266f76a9bcd32fe513302471

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  • Three KAIST SoC papers presented at ACM CSCW 2017

    Three papers by KAIST SoC students Jung Guk Park (Doctorate, advisor: Prof. Alice Oh), Chunjong Park (M.S., advisor: Prof. Sung-Ju Lee), and Bumsoo Kang (Doctorate, advisor: Prof. Junehwa Song) were presented at CSCW 2017. The 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing, held from last Feb. 25th to Mar. 1st, is one of the best conferences in HCI (Human Computer Interaction) and Social Computing. CSCW focuses on research on designing and utilizing technologies for groups and communities, and has a long history of being considered one of the best conferences for HCI and Social Computing. KAIST School of Computing led global research efforts in said fields, presenting three papers this year. The paper from Prof. Alice Oh’s lab was by Jung Guk Park, presenting a system that shows how a piece of code was written, letter by letter, for students that have problems understanding others’ code during SoC class peer assessments. The paper received an Honorable Mention Award. Alumnus Chunjong Park presented a technology to detect breaks between social activities via various smartphone sensors, and notify the user of such events. This was in an effort to prevent smartphones from becoming inconveniences hampering social interaction. The paper was a collaboration between the labs of Professors Sung-Ju Lee, Dongman Lee, and Juho Kim. Bumsoo Kang presented a mobile app that reads books to babies in their parent’s voice, using the small bits of unused time during a working day. This paper was a collaboration between the labs of Professors Junehwa Song, Sung-Ju Lee, and an IBM lab in the US. Eliph: Effective Visualization of Code History for Peer Assessment in Programming Education Jungkook Park, Yeong Hoon Park, Suin Kim, and Alice Oh “Don’t Bother Me. I’m Socializing!”: A Breakpoint-Based Smartphone Notification System Chunjong Park, Junsung Lim, Juho Kim, Sung-Ju Lee, and Dongman Lee Zaturi: We Put Together the 25th Hour for You. Create a Book for Your Baby Bumsoo Kang, Chulhong Min, Wonjung Kim, Inseok Hwang, Chunjong Park, Seungchul Lee, Sung Ju Lee, and Junehwa Song

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  • SIGPL Winter School 2017

    SIGPL Winter School 2017, chaired by Professor Sukyoung Ryu, was held from February 8 to 10 at the 1st Common Lecture Hall, School of Computing, KAIST. SIGPL hosts Summer/Winter School every year giving lectures on programming languages from the fundamental research topics to the latest research topics. A total of 120 participants including students, professors, researchers etc. were at the winter school which was sponsored by KAIST SW Oriented University.

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  • Prof. Dae Young Kim launches joint research with t..

    Our very own Professor Dae Young Kim and his research team launched a joint research with the European Union (EU) on developing and establishing an open standard and architecture for an integrated Internet of Things (IoT) global produce business ecosystem as a part of The Internet of Food & Farm 2020 (IoF2020). Article (in Korean): http://www.sedaily.com/NewsView/1OAURXDKKL

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  • KAIST School of Computing Professor Dongman Lee aw..

    Our very own School of Computing Professor Dongman Lee was awarded the Individual Contribution Award at the 11th Korea Internet Award, an event held by the Ministry of Science, ICT, and Future Planning last Dec. 13th at the Gyounggi Creative Economy Innovation Center. The ceremony awards corporations, institutes, organizations, and individuals that made contributions to the Internet industry and social development in Korea. Prof. Lee has been appointed as the Chair of the Korea Internet Governance Alliance (KIGA), which has contributed to strengthening Korea’s international influence by participating in various domestic and international Internet governance activities, such as researching Internet governance policies, holding the Asia-Pacific regional Internet Governance Forum (APrIGF), among others. Furthermore, KIGA is contributing to laying the foundation for an IoT ecosystem by pushing for research, such as the research on a connected objects platform for personalized services in an IoT environment. Prof. Lee has continued to do research in the Internet of Things (IoT) platform since 2010, publishing 5 papers in SCI-tier journals, over 30 papers in recognized international conferences, over 10 papers in domestic publications, and applied for over 11 patents. In addition, he has established a working Internet of Things testbed environment on the 8th floor of the IT Convergence Center (N1). This allows various experiments to collect data, acting as a foundation for research on a global scale.

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  • KAIST Center for Mobile Software Platform was awar..

    KAIST Center for Mobile Software Platform (Head: Prof. Seungryoul Maeng) developed “UX Centric Mobile SW Platform”, designed to assist the development of next generation UX service technologies. During the commissioned research project, the Center has applied for 37 patents, both foreign and domestic, out of which 15 have been granted, while winning the best paper awards 10 times from various international academic conferences, and publishing 133 papers in Korea and internationally. In recognition of such results, they were awarded the Minister of the Ministry of Science, ICT, and Future Planning Award during the 2016 SW R&D Research Results Conference (2016 Nov. 29, COEX Grand Ballroom 105), an event hosted by the Ministry and the Institute for Information & Communication Technology Promotion (IITP). “UX Centric Mobile SW Platform” was designed with the advent of new services with new UX, and SW talent education in mind, providing an extensible situation processing platform expected to conserve device power.

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  • Crowdsourcing based global indoor localization sys..

    School of Computing Intelligent Service Lab (Prof. Dong-Soo Han) announced that they have developed a system for providing global indoor localization using Wi-Fi signals. The technology uses numerous smartphones to collect fingerprints of location data and label them automatically, greatly reducing the cost of constructing an indoor localization system while maintaining high accuracy. The method can be used in any building in the world, provided the floor plan is available, and there are Wi-Fi fingerprints to collect. To accurately collect and label the location information of collected fingerprints, the research team analyzed indoor space utilization. This led to a technology that classified indoor space in to places used for stationary tasks (resting spaces), and spaces used to reach said places (transient spaces), and separate algorithms to optimally and automatically collect location labelling data. A few years ago, the team has also implemented a means of automatically labelling resting space locations from collected signals in various contexts such as homes, shops, and offices via the users’ address information. The latest one allows for the automatic labelling of transient spaces’ locations such as hallways, lobbies, and stairs using unsupervised learning, also without any additional location information. Testing in KAIST’s N5 building and the 7th floor of N1 building proved the technology is capable of 3 to 4 meter accuracy given enough training data. The accuracy is comparable to technology using manually labeled location information. Google, MS, and other multinational corporations collected tens of thousands of floor plans for their indoor localization projects. Indoor signal map collection was also attempted but proved more difficult. As a result, existing indoor localization services were often plagued by inaccuracies. In Korea, COEX, Lotte World Tower, and other landmarks provide comparatively accurate indoor localization, but most buildings suffer from the lack of signal maps, preventing indoor localization services. Professor Dong-Soo Han claims that “This technology allows easy deployment of highly accurate indoor localization system in any building in the world. In the near future, most indoor spaces will provide localization services, just like outdoor spaces.” He further added that although smartphone collected fingerprints were left unutilized and discarded to date, the development of an application for the data will create a new field of wireless LAN big data fingerprinting. This new indoor navigation technology is likely to be valuable to Google, Apple, or other global firms providing indoor localization information for the whole world. Nonetheless the technology will also be valuable for Korean localization service firms for domestic localization services. Prof. Han added that “the new global indoor localization system deployment technology will be added to KAILOS, KAIST’s indoor localization system.” KAILOS was released in 2014 as KAIST’s open platform for indoor localization service, allowing anyone in the world to add floor plans to KAILOS, and add the building’s signal fingerprint data to help create a universal indoor localization service. As localization accuracy improves in indoor environs, despite the absence of GPS signals, applications such as location based SNS, location based IoT, and location based O2O are expected to take off, leading to various improvements in convenience and safety. Integrated indoor-outdoor navigation service is also visible on the horizon, fusing vehicular navigation technology with indoor navigation. [그림] 무선랜 핑거프린트 기반 스마트폰 실내 위치인식 [그림] 불특정 다수의 스마트폰을 통해서 수집된 핑거프린트의 수집 위치를 자동으로 라벨링하는 자율학습 기법 [그림] KAIST Indoor Locating System (KAILOS) 응용 서비스 및 관련 기술

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  • HCI@KAIST Research Society

    The first seminar by HCI@KAIST Research Society was held last Thursday (October 13th). HCI@KAIST Research Society was organized by the School of Computing Future Planning Committee with the goal of providing a platform for cooperation between HCI labs in KAIST, and facilitate HCI education and research. Currently, 11 labs in KAIST are participating in the program. The society will be holding biweekly seminars, open workshops, and open house, and is operated with the help of Golfzon and the School of Computing. The first seminar started off with previews of two papers to be published in the UIST 2016 conference, and the second seminar is to be presented by guest speaker Professor Krzysztof Gajos from Harvard University.

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  • Controlling a turtle with your mind…amazing techno..

    Our very own School of Computing Professor Sungho Jo made an appearance on 8 O’clock News. Here is a copy of the segment. “Controlling a turtle with your mind…amazing technology” From SBS News (article in Korean) http://news.sbs.co.kr/news/endPage.do?news_id=N1003835422&plink=NEW&cooper=SBSNEWSSECTION&plink=COPYPASTE&cooper=SBSNEWSEND <Anchor> Control a turtle with but a thought. Just think “left” and it goes left, “right” and it goes right. This amazing technology is advancing every day. Reporter Kuhee Jung is with a story on how this is possible. <Reporter> Drink with a robot arm just by thinking about it. This is possible via the application of Brain-Computer Interface technology, where a computer reads the changes in brain waves that occurs when you think. Using this technology, you can control animals with just your thought. Turtles walk in figure 8 shaped paths, or walk in circles around an object: all done by a researcher thinking about it. The researcher can control the turtle with the use of a thought controlled curtain mounted on the turtle’s shell, taking advantage of turtles’ instinctive fear of darness, which forces them to walk towards the light. <Sungho Jo, Professor at KAIST> Turtles shrink when they can’t see, and head towards whichever direction their vision is not obscured. If we let them see to their right when the person thinks “right”, the turtle will instinctively walk to the right. <Reporter> These are brain waves, detected from various points on my head. The waveforms change according to whether I’m thinking “left” or “right”, which the computer analyzes, and once it understands what I’m thinking, it can read my mind. As Brain-Computer Interface technology advances, we expect to see applications such as robots to act as limbs of the disabled, remote controlled animals and robots for exploration, or real time analysis of emotions to help prevent mental illnesses such as depression.

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  • Prof. Sung-Ju Lee Wins the WiNTECH Test of Time Aw..

    On the 3rd of October, our very own School of Computing Professor Sung-Ju Lee won the 10th WiNTECH (ACM International Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization) Test of Time Award in the workshop held in New York City, USA. WiNTECH, a wireless networking workshop started in 2007, has gained recognition for its focus on spotlighting practical research results via experimentation and verification. To celebrate the 10th anniversary of the workshop, the workshop’s first Test of Time Award was given. Test of Time Awards are given to papers that are still important in academia and industry many years since its original publication. Prof. Sung-Ju Lee’s paper “An Experimental Study on the Capture Effect in 802.11a Networks” received the Test of Time Award in a unanimous vote by the judges. The 2007 paper was a collaboration between Prof. Sung-Ju Lee and a Seoul National University research team. The research team showed via experiment that, despite the then common knowledge that signals affected by interference become unusable, the signals can be received depending on variables such as transmission power, transmission time, and transmission rate. The paper affected later wireless experiments and modeling research, and has been referenced more than 200 times. Prof. Lee commented that the award means a lot since it shows the paper is still impactful despite being almost 10 years since its original publication.

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  • Ph.D Students Woosang Lim and Chungkuk Yoo Awarded..

    The Google Ph.D Fellowship Program was started in 2009 to find exceptional graduate students in computer science and related fields. Awardees are given $10,000 (approx. 11,000,000 Korean Won) in scholarship, and receive one-to-one mentoring for their research from Google’s experts in various parts of the field. The 8th year or the program, this year’s program saw over 250 applicants, of which 52 were selected, 6 from East Asia (Korea, Japan, and mainland China). Two students from KAIST’s School of Computing: Woosang Lim (supervisor: Prof. Doo-Hwan Bae), and Chungkuk Yoo (supervisor: Prof. Junehwa Song) have been given the honor of becoming the two Korean Fellows of the 2016 Google Ph.D Fellowship Program. Woosang Lim won the scholarship with his research on the efficient and accurate decomposition of large scale matrices, and the machine learning applications made possible thereof. He used the mathematical analysis of PSD (Positive Semi-Definite) matrix decomposition error, a common feature of machine learning, to propose a creative and novel form of data compression. Using this, he introduced an algorithm to perform eigendecomposition of large scale PSD matrices much more accurately and efficiently than existing methods. The paper was published in ICML last year, an international conference renown in the field of machine learning. He is currently working on generalizing the paper’s algorithm as well as working on other applications of the research. Lim has also shown his talent by winning the Korean Mathematical Society’s National College Level Mathematics Competition twice, winning the Machine Learning Summer School (MLSS) Best Presenter Award (Ph.D Student), winning the International Machine Learning Society (IMLS) Scholarship, and publishing papers in various top international conferences. Chungkuk Yoo became a Google Ph.D Fellow for his proposal and implementation of a novel service model using mobile sensors, which was recognized as an achievement in the field of mobile computing. During his Ph.D course, Yoo implemented a method for using smart phone camera to calculate the position of objects in 3 dimensional space. He used this to create a system in which arbitrary objects could be used as UI elements, which users can interact with by pointing to the said object with their finger. This research was a collaboration with IBM Research, and was published in CHI, the top international conference in human computer interaction. He is now working on improving his mobile vision based object position sensing technology to work in densely crowded areas as well, maximizing accurately, and minimizing latency. There are 5 US patents pending related to this work. Furthermore, Yoo was awarded the Best Paper award from CSCW in recognition of his research in the use of smart phones to identify children with language related disabilities via non-verbal cues, and educational / corrective services for use by such children within a family setting. CSCW is the top conference in social computing, and the award is a first for Korean organizations, which highlights the originality of his research. Reference: https://research.googleblog.com/2016/09/announcing-first-annual-global-phd.html?m=1

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  • Prof. Cheong wins the best paper award in SoCG'16

    Professor Otfried Cheong received the best paper award in the SoCG 2016 held in Boston, USA last June. He's had two papers accepted and the following paper won the best paper award: “The Number of Holes in the Union of Translates of a Convex Set in Three Dimensions” by Boris Aronov, Otfried Cheong, Michael Gene Dobbins and Xavier Goaoc Congratulations!

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  • Naver Fellowship appointment and award

    On July 25, 2016, the following students of the School of Computing have been appointed to Naver Ph.D. Fellow and received the Fellowship Award: Duc Hoang Bui (Ph.D. candidate, advisor: Insik Shin), Soo In Kim (Ph.D. candidate, advisor: Alice Oh), Duksan Ryu (Ph.D. candidate, advisor: Jongmoon Baik), Gun Woo Park (Ph.D. candidate, advisor: Mi-young Cha), Changhee Park (Ph.D. candidate, advisor: Sukyoung Ryu), Sunjoon Kim (Ph.D. candidate, advisor: Geehyuk Lee). This award is sponsored by Naver Corp. to recognize the students who published the best papers to top-tier international conferences and journals on computer science field. Congratulations on receiving the award. ** Pictures Duc Hoang Bui, Soo In Kim Duksan Ryu, Gun Woo Park Changhee Park, Sunjoon Kim

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  • New faculty announcement of Professor Eunho Yang

    We are delighted to announce that Professor Eunho Yang has been appointed to the School of Computing at KAIST on July 11, 2016. Professor Eunho Yang majored in Statistical Machine Learning. Please refer to the following URL for details: https://cs.kaist.ac.kr/people/view?idx=537&kind=faculty&menu=160 Congratulations for the appointment

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  • Mutual exchange agreement on cyber security traini..

    The following link is the newspaper article of a mutual exchange agreement of cyber security training and education between KAIST and National Security Research Institute on July 11, 2016: http://www.daejonilbo.com/news/newsitem.asp?pk_no=1221438 The supported program of this agreement is under the lead of the School of Computing at KAIST.

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  • New faculty announcement of Professor Jooyoung Lee..

    * Professor Juho Kim (left) and Jooyoung Lee right) We are delighted to announce that Professor Juho Kim and Jooyoung Lee have been appointed to the School of Computing at KAIST on July 1, 2016. Professor Jooyoung Lee majored in Cryptography and Combinatorics. Please refer to the following URL for details: https://cs.kaist.ac.kr/people/view?idx=536&kind=faculty&menu=160 Professor Juho Kim majored in Human-Computer Interaction (HCI), Crowdsourcing, and Learning at Scale. Please refer to the following URL for details: https://cs.kaist.ac.kr/people/view?idx=535&kind=faculty&menu=160 Congratulations for the appointment.

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  • IT Women Engineers Talk Concert

    On June 22 (Wednesday), the School of Computing held “IT Women Engineers Talk Concert” in room #117 of N1. This concert is supported by the Association of Korean Woman Scientists & Engineers (KWSE) over the lead of Professor Jinah Park of School of Computing, and Professor Hyun Ju Lee of the department of Electrical Engineering, to share their research areas, encourage the research collaboration between IT and non-IT areas, and present new vision to graduate students. In the IT area, Professor Alice Oh presented “Machine learning and social computer science,” Professor Sukyoung Ryu presented “The journey on the wild JavaScript web application fault detection,” and Professor Sue Moon’s “What is my Beer?” In the non-IT area, there were participants from bio and brain engineering, mechanical engineering, biological sciences, and the Graduate School of Nanoscience and Technology. There were a keynote speech and panel discussion of Professor Hye Sook Lee, who was the head WISET.

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  • 2016 KAIST-TUIT Collaboration Program Completion C..

    The Spring 2016 KAIST-TUIT Collaboration Program Completion Ceremony was held on Monday, June 20, 2016 at the SoC faculty meeting room to celebrate achievements of the TUIT lecturers who took the training program at KAIST.

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  • NRF Midsize Core Research Appointment

    The research proposal, “Software Testing and Debugging Automation Technology for Quality Improvement,” of Software Testing and Verification Group (SWTV) laboratory of the School of Computing (advisor: Moonzoo Kim) has been accepted as a midsize core research project of the National Research Foundation of Korea (NRF). (100 million in KRW (about 87,000 in USD) per year, 3 years since June 2016) Congratulations on the appointment.

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  • Microsoft Research Japan-Korea Academic Day 2016 A..

    Professor Moonzoo Kim of School of Computing has been appointed to the Editorial Board from the Journal of Software Testing, Verification and Reliability (STVR), which is one of the best journals in software engineering. Congratulations on the appointment.

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  • Microsoft Research Japan-Korea Academic Day 2016 A..

    Professor Insik Shin and the student Hyo Soo Kim won the first prize from Poster & Demo presentation on Microsoft Research Japan-Korea Academic Day 2016 which held on Tokyo, Japan in May 20th. • Title: I can hear your touch-screen taps: leveraging tapsound to infer tapstorkes on mobile touch-screen devices • Abstract: Introduces a new side-channel hacking methodology using smartphone’s voice information in mobile security field Microsoft research cooperates worldwide research institutes in various research fields including computer science, and Microsoft Research Japan-Korea Academic Day is a innovational technology exchange program for scholars in Korea and Japan, who are participating in innovational projects with Microsoft. Congratulations on winning the award.

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  • Professor Sungwon Kang has been elected as the ​ P..

    Professor Sungwon Kang of the School of Computing has been elected as the ​ P resident of the Software Engineering Society of Korean Institute of Information Scientists and Engineers (KIISE) in March 2016, and he will be on the position until February 2018. The Software Engineering Society was established in 1987 to contribute for the scientific, academic, and technological development of the software engineering field in Korea. The organization provided opportunities to share theories, experiences, and technologies on software engineering. The Software Engineering Society publishes their journal periodically, holds the Korea Conference on Software Engineering every year, and provides many other opportunities for sharing information for software engineering researchers, such as special lectures, invitation seminars, and the night for software engineering researchers.

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  • QS World University Rankings by Subject 2016 - Com..

    QS World University Rankings by Subject 2016 - Computer Science & Information Systems: KAIST SoC QS was ranked among the top 36 around the world & no.1 in Korea. DETAILS: ACADEMIC REPUTATION : 79.7 EMPLOYER REPUTATION : 88.9 CITATIONS PER PAPER : 87.1 H-index : 90.4

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  • Industrial-educational cooperation agreement betwe..

    On last Wednesday (February 24th), the School of Computing made an industrial-educational cooperation agreement between KAIST and EXEM, Co., Ltd for the cooperative R&D on big data operation..

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