Profs. Sukyoung Ryu, Sung-Ju Lee, Junehwa Song, an..
Profs. Sukyoung Ryu, Sung-Ju Lee, Junehwa Song, and Min H. Kim＇s research projects were selected to be presented in KAIST Breakthroughs. Prof. Sukyoung Ryu: HybriDroid: Static analysis framework for android hybrid applications http://breakthroughs.kaist.ac.kr/?post_no=1027 Prof. Sung-Ju Lee & Junehwa Song: Zaturi: Create an audiobook for your baby using time that slips by http://breakthroughs.kaist.ac.kr/?post_no=1029 Prof. Min H. Kim: Compact hyperspectral imaging at low cost http://breakthroughs.kaist.ac.kr/?post_no=1026 Congratulations on being accepted for KAIST Breakthroughs 2018 Spring！...Read more
Dr. Shin Yoo, a faculty member of School of Comput..
Dr. Shin Yoo, a faculty member of School of Computing, KAIST, 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 on empirical and data-driven software engineering research. ESE is one of the most prestigious software engineering journals: in 2016, ESE had the impact factor of 3.275, and 5-year accumulative impact factor of 3.759. Google Scholar currently ranks ESE at the 12th place among the Software Systems conferences and journals....Read more
Prof. Jinah Park and her research have been select..
Prof. Jinah Park and her research have been selected as the 2017 KAIST Top 10 representative R&D Outcomes The research work of Prof. Jinah Park, a faculty member of School of Computing, KAIST, has been selected as the 2017 KAIST Top 10 representative R&D Outcomes under the topic "Hippocampal Shape modeling based on a Progressive Template Surface Deformation and Its Verification." The purposes of the 2017 KAIST Top 10 representative R&D Outcomes are - To inspire the researchers' motivation toward the research by discovering and celebrating the outstanding achievements of the KAIST R&D - To accumulate the core technical information and the outstanding accomplishments through the continuous publications of the annual reports and videos. - To induce the progress of a performance management system through the systematic performance case management The award will take place during the Research Day event in May 2018. Congratulations...Read more
Ph.D. candidate Hyosoo Kim wins the ＇HumanTech Pap..
KAIST School of Computing Ph.D. candidate wins the bronze prize in the Computer Science & Engineering part of the Samsung Electronics Human Tech papers on February 7th. A research team composed of Ph.D. candidates Hyosoo Kim and Byungil Kim (advisor: Insik Shin) at KAIST and Ph.D. candidates Daehyeok Kim at CMU won the prize by developing touch detection technology using touch sound in the mobile environment. The team was highly acclaimed for their sound-based new hacking techniques and mobile HCI technology. Title - TapSnoop: Leveraging Tap Sound to Infer Tapstrokes on Mobile Touch-screen Devices Author - Hyosoo Kim (KAIST), Daehyeok Kim (CMU) Byungil Cho (KAIST) The Samsung Electronics HumanTech Paper Award was established in 1994 to discover creative and challenging young people who will lead the future science of Korea and to create a social atmosphere that emphasizes technology and revitalizes research atmosphere in the schools. Congratulations！ https://humantech.samsung.com/saitext/board.do...Read more
Prof. Eunho Yang is awarded the 2018 Songam Future..
Prof. Eunho Yang is awarded the 2018 Songam Future Scholar Research Excellence Award. Songam Future Scholar Research Excellence Award is according to the will of the President Lee of Korea Former Co. given to Assistant Professors in Engineering Schools with less than 5 years of appointment with an excellent research performance in order to encourage their research activity. The Award ceremony is held on Jan 12th 2018 at the 47th School Anniversary Event. Congratulations....Read more
Professor Insik Shin develops technology to half t..
신인식 교수, 스마트폰 전력소모를 절반으로 줄이는 기술 개발 An application that can reduce the power consumption of smartphone web browsers down to 40％ of the original has been developed. It is expected to boost the battery time by reducing web browsing power consumption, which is significant part of smartphone power consumption. Prof. Shin’s team spoke on etnews of Jan 8th that they have developed a low power mobile browsing technology by optimizing the frame rates of web pages. “Low power mobile browsing allows us to increase smartphone power performance with software only. It will help the smartphone manufacturers and web browser developers who are trying to optimize power consumption,” said Prof. Shin. Etnews article: http://www.etnews.com/20180105000383...Read more
Team NLPCL ＊ CGV (Jung-Ho Kim, Youngjin An, Wonsuk..
Team ‘NLPCL ＊ CGV’ attended the ‘SW/Demo Contest’ and won the best demo award during the Korea Software Congress 2017 held in Busan on December 20th~22nd. Team ‘NLPCL ＊ CGV’, comprised of Ph.D students Jung-Ho Kim, Wonsuk Yang and Fitsum Gaim of NLPCL Lab (advisor: Jong Cheol Park) and Master’s student Youngjin Ahn of CGV Lab (advisor: Jinah Park), has demonstrated a ‘VR training and mobile feedback system to increase communication ability in work environment’ by merging VR and AI technology....Read more
Ph.D student Jooyeon Kim (advisor： Alice Oh) devel..
Ph.D student Jooyeon Kim (advisor: Alice Oh) develops algorithm to minimize fake news spread by leveraging the crowd The algorithm to minimize fake news spread researched by Ph.D student Jooyeon Kim of Prof. Alice Oh’s lab, together with Dr. Manuel Gomez-Rodriguez of Max Plank Institute, has been published in articles of Yonhapnews, Maeil Business News, and ETnews. This research is the first work on modeling techniques for crowd-powered reduction of fake news spread, whose concern have been growing recently. The work is to be presented in the ACM WSDM on February 2018. http://www.yonhapnews.co.kr/bulletin/2017/12/22/0200000000AKR20171222067600033.HTML http://news.mk.co.kr/newsRead.php?year=2017&no=849666 http://www.etnews.com/20171224000028...Read more
ICSE 2018 Paper acceptance
KAIST team has newly suggested the unit testing of C programs that can find errors automatically while minimizing false alarms. Prof. Moonzoo Kim and Dr. Yoon Ho Kim wrote a paper "Precise Concolic Unit Testing of C Programs with Alarm Filtering Using Symbolic Calling Contexts" in collaboration with Prof. Yoon Ja Choi at Kyung-Buk University. Their paper has been accepted to ACM/IEEE ICSE (Intl. Conf. on Software Engineering) which is one of the most prestigious conferences in the Software Engineering field. Congratulations！...Read more
The 9th Asian Conference on Machine Learning (ACML..
The 9th Asian Conference on Machine Learning, where Prof. KeeEung Kim served as the General Chair, took place in Yonsei University from November 15th to 17th. In the conference experts and researchers shared results and ideas on machine learning, and discussed proposals centered around innovative machine learning ideas and paradigms. Since 2009, ACML has been a gathering of new ideas and technology about machine learning, which has taken important roles in various fields in the industry. ACML has started in Asian region and has been held in New Zealand, Hong Kong, Australia, Singapore, Taiwan, Japan and China. The conference has helped the scientists gain a broader understanding on machine learning and get insights for applying them in the industry....Read more
CAN ’17 at ACM CoNEXT 2017, Best Paper Award
On December 12th, KAIST undergraduate student Jaemin Shin and Dukgi Hong (Advisor Prof. Sue Moon) has earned the ‘Best Paper Award’ for their paper ‘Considerations on Deploying High-Performance Container-based NFV’ in the international conference ‘Cloud-Assisted networking Workshop at ACM CoNEXT 2017’ held at Incheon Paradice City Hotel. Congratulations！...Read more
Insik Shin, Jaehyuk Huh and Min H. Kim won MSRA Co..
Professors, Insik Shin, Jaehyuk Huh and Min H. Kim, won MSRA Collaborative Research 2018 Grant Awards Microsoft Research Asia (MSRA) Collaborative Research Program is a grant program for faculty members in Asia, working together with MSRA researchers on mutually interesting topics. MSRA aspires to foster talents and establish Microsoft as a valuable research and technology partner for higher education in Asia. In addition, KAIST is the university that won the largest number of grant awards, along with Tsinghua, HKUST, and USTC. The selected research projects are: TouchSurface: Supporting Touch User Interface with Sound on Any Surface Insik Shin, KAIST Securing Key-Value Stores with Hardware Trusted Execution Environments Jaehyuk Huh, KAIST Capturing Intrinsic Material Appearance via Spectro-Polarimetric 3D Imaging Min H. Kim, KAIST Since the announcement of Call for Proposals in mid-July, there has been a large number of submissions. MSRA Collaborative Research Program Committee carefully reviewed them based on the state-of-the-art and common research interests. Now MSRA announces 62 awards. The awardees are from 35 universities and institutes in China mainland, Hong Kong, Taiwan, Japan, Korea and Singapore. We are pleased to announce that three professors of KAIST School of Computing, Insik Shin, Jaehyuk Huh and Min H. Kim, won MSRA Collaborative Research 2018 Grant Awards. Reference: http://www.microsoft.com/en-us/research/lab/microsoft-research-asia/articles/msra-collaborative-research-2018-award-announcement/...Read more
Two papers accepted at ACM POPL 2018, a top intern..
Two papers from the KAIST School of Computing got accepted for ACM POPL 2018, a top international conference on programming languages. The first paper is “On Automatically Proving the Correctness of math.h Implementations“ authored by Mr Wonyeol Lee in the school and his colleagues in Microsoft and Stanford (Sharma and Aiken). The second paper is “Denotational Validation of Higher-Order Bayesian Inference“ written by Prof Hongseok Yang in the school and his colleagues in Oxford, Cambridge, Tubingen and Edinburgh (Scibior, Kammar, Vakar, Staton, Cai, Ostermann, Moss, Heunen, Ghahramani)....Read more
KAIST School of Computing hosts MDM 2017
From May 29 to June 1, Professor Junehwa Song and Professor Wang-Chien Lee of Pennsylvania State University co-chaired the IEEE International Conference on Mobile Data Management (MDM), hosted by KAIST. Celebrating its 18th year, MDM is an academic conference that focuses on data management in mobile, ubiquitous and pervasive environment. MDM deals with topics addressed by both academia and industry such as IoT, autonomous vehicles, crowdsourcing and mobile sensing. A total of 50 papers were presented by 105 researchers from 13 countries. In addition to domestic and international researchers, companies such as Google, IBM, and Delta Electronics participated in discussions about the potentials of mobile data in the future. The conference was held with the support of IEEE, KAIST School of Computing, IEEE Technical Committee on Data Engineering(TCDE), University of Pittsburgh, Daejeon International Marketing Enterprise, Software Research Center of Chungnam National University and Daejeon Metropolitan City....Read more
Seung-Hwan Baek and Chang Hyun Park won MSRA PhD F..
Seung-Hwan Baek and Chang Hyun Park won MSRA PhD Fellowship 2017 [link]. Congratulations to Seung-Hwan Baek (advisor: Prof. Min H. Kim) and Chang Hyun Park (advisor: Prof. Jaehyuk Huh), on winning the 2017 Microsoft Research Asia Fellowship Award！ Their excellent guidance and continued support for the Microsoft Research Asia Fellowship program are highly appreciated. This year, 107 distinguished Ph.D. candidates from 38 leading research universities or institutions were nominated for fellowships. Applicants included candidates from the China mainland, Hong Kong, Taiwan, Japan, South Korea, and Singapore. Each candidate’s credentials, publications, and research projects were thoroughly evaluated by a review committee and only 10 extremely outstanding students have been awarded fellowships. A cash award is also provided to support the fellow’s research and academic endeavors. Moreover, Microsoft Research Asia would like to provide Moreove the PhD student a 3-month visiting research opportunity, which helps the winner to broaden his or her horizons by doing research at a top international research institute under the guidance of an experienced researcher. Seung-Hwan and Chang Hyun were invited to attend the 2017 MSRA Fellowship award ceremony held in Harbin, China, on Oct 19th. The ceremony was one of the key sessions of the 19th Computing in the 21st Century Conference, during which they could talk from distinguished scientists from around the world, and have a lunch meeting with Turing Award winner. Since its inception in 1999, the program has attracted applications from approximately 1,100 PhD candidates from more than 40 universities in the Asia-Pacific region, with 396 outstanding students having been awarded Microsoft Research Asia Fellowships. Many of them have become influential researchers in their area. We are glad to have Seung-Hwan and Chang Hyun as Fellowship winners this year, and we look forward to their future achievements！ Chang Hyun Park (left) and Seung-Hwan Baek (right)...Read more
KAIST School of Computing selected in the Next Gen..
On September 19th, all three projects proposed by KAIST Computer School of Computing were accepted in the Next Generation Information Computing Technology Development Project, which was announced by the Ministry of Science and ICT and National Research Foundation of Korea. The project’s mission is to "support development of basic SW technology that differentiates itself from existing R&D in IT, in order to secure long-term national competitiveness" The detailed projects assigned to our department are as follows. - SuggestBot: Context-based smart interaction Research Goal: Development of software technology including big data of interaction, engine for situation inference and action suggestion, wearable UI and computing subsystem to realize in-situ, intelligent, and in-time smart interaction in wearable computing environment. Project manager: Geehyuk Lee Participants from School of Computing: Juho Kim, Sung Hyon Myaeng, Alice Oh, Junehwa Song Participants from other departments: Uichin Lee -Development of reliable intelligent CPS complex system and on-the-fly verification technology Research Goal: Development of software engineering technology for reliable and safe software development in Cyber-Physical System (CPS) environments such as Vehicle to Everything (V2X) and Smart Factory Project manager: In-Young Ko Participants from School of Computing: DooHwan Bae, Sungwon Kang, Junehwa Song, Jongmoon Baik Participants from other institutions: Jang Ui Hong(Chungbuk Univ.), Junbeom Yoo(Konkuk Univ.), Seung-Woo Kang(KoreaTech) -Multilanguage Verification and Debugging of Full Stack SW through Intelligent Automation Project manager: Moonzoo Kim Participants from School of Computing: Sukyoung Ryu, Shin Yoo Participants from other institutions: Yunja Choi(Kyungpook Nat. Univ.), Kyungmin Bae(POSTECH), Shin Hong(Handong Univ.) The project runs from September 1, 2017 to December 31, 2020 (3 years and 4 months), with funding total of 9.53 billion won....Read more
PhD candidate Sangeun Oh awarded 2017 Google PhD F..
On September 12th, KAIST PhD candidate Sangeun Oh was awarded the 2017 Google PhD Fellowship in Mobile Computing area, in recognition of his latest work "Designing Multi-device Mobile Platform for Cross-device Functionality Sharing". Google has been conducting Google PhD Fellowship Program to spotlight PhD candidates who are doing outstanding work in the field of computer science. The awardees are granted ten thousand dollars worth of scholarship and become connected with Google's specialists each field as mentors to discuss the research and get feedback. This year, a total of 47 PhD students worldwide were awarded, including 6 students in the East Asia, including Korea, China and Japan. Throughout his PhD years, Sangeun Oh developed platforms for mobile devices to share functionalities such as log in, payment and sensors, enabling user experiences previously impractical to implement. His research was presented last June 21th in ACM Mobysis, the most prestigious academic conference in Mobile computing....Read more
Prof. Sung-Ju Lee＇s SCAN and Prof. Alice Oh＇s Elip..
Prof. Sung-Ju Lee's SCAN and Prof. Alice Oh's Eliph system were selected to be presented in KAIST Breakthroughs. Prof. Sung-Ju Lee's SCAN system (http://breakthroughs.kaist.ac.kr/?post_no=913) Prof. Alice Oh's Eliph system (http://breakthroughs.kaist.ac.kr/?post_no=908) Congratulations on both teams！...Read more
Prof. Hongseok Yang presented a keynote at QONFEST..
KAIST SoC Prof. Hongseok Yang presented a keynote at QONFEST’17 as a joint invited speaker for CONCUR, QUEST, and FORMATS. Prof. Hongseok Yang at the KAIST School of Computing presented a keynote talk on probabilistic programming at QONFEST’17, as a joint invited speaker for CONCUR, QUEST, and FORMATS. QONFEST’17 is the umbrella event of the four major international conferences CONCUR, QEST, FORMATS, and EPEW, whose topics jointly cover theory, formal modeling, verification, performance evaluation and engineering of concurrent, timed and other systems. QONFEST '17 was held in Berlin, Germany from September 4, 2017, until September 9, 2017....Read more
Prof. Sang Kil Cha’s paper accepted by IEEE／ACM AS..
IEEE/ACM ASE 2017 (Automated Software Engineering), a top international conference on software engineering, accepted a paper from School of Computing’s Graduate School of Information Security. Professor Sang Kil Cha, alongside Soomin Kim and KAIST Cyber Security Research Center, worked on the paper, “Testing Intermediate Representations for Binary Analysis”. The research was a part of Prof. Cha’s project with the Ministry of Science and ICT, a R&D project carried out since 2016 in cooperation with KAIST Cyber Security Research Center. The project is on comparing the expressiveness of existing intermediate representations used for binary analysis. The paper will be presented at IEEE/ACM ASE 2017 conference, held Oct. 30 to Nov. 3 at Illinois, US. Reference: http://ase2017.org...Read more
Prof. Dongman Lee Unveils “Placeness Data Mining a..
ㅁ KAIST Professors Dongman Lee, Wonjae Lee, Juyong Park, Meeyoung Cha, and their respective research teams unveiled their “Placeness Data Mining and Inference”, a part of their research on the development of core technologies for placeness based data mining for use in real time intelligent information suggestion services in the context of smart spaces. ㅇ The API is available at placeness.kaist.ac.kr:8080/, with the wiki on relevant information available at placeness.kaist.ac.kr/wiki ㅇ The development of core technologies for placeness based data mining for use in real time intelligent information suggestion services in the context of smart space was a government funded R&D effort, running from 2015 July to 2017 Aug, supported by the Ministry of Science and ICT (former Ministry of Science, ICT, and Future Planning). ㅇ This research analyzes the vast amounts of geotagged multimedia and text data generated by online social networking services to garner the purpose and social context of specific commercial locations’ visitors, and through this data infer the social actions, emotion, and the relationship the user has with the location. ㅇ The recently unveiled API relies on data collected and analyzed from the current major R&D objective locations (e.g. COEX, IPark Mall) and their constituent locations. Social multimedia data collected from the locations are analyzed to provide locational context from various perspectives (passers-by, visitor, time, emotion, etc). A REST API allows access via HTTP requests for the general public, providing the placeness information of the major spaces. ㅁ The above API provides 4 different inferences arising from the process of placeness inference: 1) placeness of the location of which this place is a constituent of, 2) placeness of the location within the context of the aforementioned parent location, 3) emotion based inference on the location and its parent location’s ambience, and 4) the user-location relationship. ㅇ The 4 inferences include the following information: - Fundamental technology for real time placeness matching via the analysis of users’ social context within the locality - Fundamental technology for the inference of granular placeness inference via the application of standardized data structures - Fundamental technology for the inference of placeness for reflecting the user’s diachronic / immediate context, thereby presenting a multidimensional relationship connectivity graph between localities and users - Fundamental technology for emotion inference for real time location suggestion and user specific locality emotion score output based on the inference ㅇ The information provided enables developers to improve the accuracy and satisfaction of location suggestion services, as well as mine social data for social contexts and the resultant public visitation patterns and changes in preferences, with which specific locations can be suggested, and advertising and coupons created for the purpose of promoting the consumption of specific contents within the locality. ㅁ Prof. Dongman Lee (Project Lead) claims the API developed during the research effort improves the quality of existing geography based location search and suggestion services, automatically providing changing location suggestions based on urban visitors’ changing location visit trends. The research is expected to form the core of technologies to overcome the limitations in the previous non-standardized text data analysis, harnessing both image and text simultaneously to infer the social information of the location, leading to a leap in existing location based suggestion services and AI based personal assistant services. ㅁ Placeness data mining and inference technology is applicable in various location based information search and suggestion service providers and location based social commerce services, allowing information search companies and mobile coupon providers to offer intelligent information suggestion functionalities and their improvement....Read more
CCA 2017 Held
From July 24 to 28, KAIST’s School of Computing organized and hosted the 14th International Conference on Computability and Complexity in Analysis (CCA2017) and Workshop on Real Verification: http://complexity.kaist.edu/CCA2017 48 leading senior experts, rising young scientists, and eager students have attended and contributed to this unique event. They came from all over the world: Amsterdam, Birmingham, Brussels, Buenos Aires, Bulgaria, Cambridge, Connecticut, Cornell, Darmstadt, Hagen, Kyoto, Maastricht, Munich, Nagoya, Okinawa, Pohang, Pretoria, Saarbrücken, Seoul, Singapore, Tokyo, Trier, and Versailles. Over the course of five days we had 33 presentations of recent research, discussions of current challenges, and explorations of future developments in the Algorithmic Foundations of Numerics. The organizers gratefully acknowledge generous financial support from KAIST's School of Computing, from the International Relations Team (IRT), and from the National Research Foundation of Korea (NRF). Co-located with CCA 2017, a Workshop on Real Verification was organized by Prof. Gyesik Lee (Hankyong National University) and Prof. Martin Ziegler (KAIST) with invited speakers from Yonsei University, INRIA, Aston University, Trier University, KAIST, SNU, and AdaCore. For many participants this was the first time to visit Korea: They have particularly enjoyed the impressive experience of this technologically advanced country as well as of its warm hospitality, culinary richness, and cultural heritage. In fact, as part of a joint NRF/EU H2020 project, five conference participants continue staying at KAIST throughout August for further collaborative research...Read more
App that adjusts smartphone notifications accordin..
Pictured: KAIST personnel involved in the SCAN technology research effort. From the left, KAIST SoC Professors Sung-Ju Lee, Dongman Lee, and Juho Kim, Ph.D. student Cheonjong Park, and Samsung Electronics SW Center researcher Junsung Lim Our very own School of Computing Professors Sung-Ju Lee and Dongman Lee, with their respective research teams, developed technology to automatically detect the current user’s situation and adjust smartphone notification settings accordingly. The technology, which they call SCAN (Social Context-Aware smartphone Notification system, or Freedom from Notifications), was featured in an Aug. 7 iPnomics article. http://www.ipnomics.co.kr/?p=63868...Read more
KAIST SoC Associate Prof. Jinah Park Presents the ..
KAIST School of Computing Associate Professor Jinah Park presented the keynote at the 21st Medical Image Understanding and Analysis Conference (MIUA 2017) last July 11 through 13, held at John McIntyre Centre, Pollock Halls, Edinburgh, UK. The presentation was on “model-based approach to 3D shape recovery and analysis.” MIUA 2017 is a medical image analysis forum for experts in the field held every year in the UK, boasting attendees from various European countries as well as the US, Australia, and Asia. This year, of the 150 organizations attending the conference, 46 were not from the UK, and out of the 105 papers and 22 clinical abstracts submitted, 82 were from overseas. KAIST SoC Prof. Jinah Park was invited as a keynote presenter alongside Prof. Ingela Nyström (Uppsala University) and Prof. Daniel Rueckert (Imperial College London). The conference also invited Sir Michael Brady, a Professor at the University of Oxford, as the Honorary Guest Speaker. Prof. Jinah Park’s lecture was on her 3 dimensional modeling technique for extracting clinical understanding from clinical imaging data, a subject she has worked on for two decades....Read more
Best Paper in Robotic Planning at the Internationa..
KAIST School of Computing Ph.D. graduate Junghwan Lee, and M.S. student Heechan Shin (advisor: Prof. Sungeui Yoon) won the Best Paper in Robotic Planning award at the ICAR 2017, held last July 10 through 12 at Hong Kong. The award recognized their research on data-driven kinodynamic RRT. This research was on a method for constructing a database of known possible states and inputs of a kidonynamic robot’s movements for future reference, such that robots can simply search the database. By removing the need to calculate the inputs in real time, the research greatly reduces the computational load of robotic movement. Lee has a history of outstanding academic achievement, having published multiple papers at various internationally renowned journals and conferences during the course of his Ph.D. years, including the IEEE Transaction on Robotics (TRO), International Conference on Robotics and Automation (ICRA), and the International Conference on Intelligent Robotics and Systems (IROS). Advisor: Prof. Sungeui Yoon, 1 st Author: Junghwan Lee, 2 nd Author: Heechan Shin IICAR 2017 Website: http://www.ee.cuhk.edu.hk/~qhmeng/icar2017/index.htm We offer our most sincere congratulations on their success....Read more
KAIST SoC Prof. Meeyoung Cha Invited as Keynote Pr..
KAIST School of Computing Professor Meeyoung Cha presented the keynote for the IEEE/ACM International Conference on ASONAM (Advances in Social Networks Analysis and Mining) with a talk on “The Propagation of Rumors and Fake News”. The conference, held this Aug 1 through 3 at Sydney, Australia, awarded Prof. Cha a plaque of appreciation for her services. The keynote presented an AI based method for detecting fake news online, and the validation of the theory using sociology. This research pointed out the problem that social media, being devoid of any fact checking stage, might propagate false information as if it was true, especially in a society where phones and social media enable a convenient and habitual consumption of information. The research team examined this social phenomenon scientifically, thus proposing a big data and AI algorithm based unsupervised method for online information credibility assessment. The research results were published on various renowned conferences and journals, including ICDM, IJCAI, and PLoS One....Read more
Mobile smart device platform for app functionality..
Linked are articles on School of Computing Professor Insik Shin’s lab and their development oㄹ mobile platform technology for sharing app functionalities on a smart device. The research paper was also published on ACM MobiSys. Articles in Korean. Segye Daily, 2017 July 28: http://www.segye.com/newsView/20170726003462 Sedaily, 2017 July 26: http://www.sedaily.com/NewsView/1OIMI5D8UD Herald Business, 2017 July 26: http://biz.heraldcorp.com/view.php?ud=201707260002...Read more
SoC Students Win ACM GECCO Humies Silver Award
A KAIST School of Computing research team led by Professor Shin Yoo won the 2017 Human Competitiveness Award (Humies) Silver Award at Genetic and Evolutionary Computation Conference (GECCO), a conference held by ACM SIGEVO. The event recognizes human parity achievements in research by evolutionary computation. Prof. Yoo’s research contribution involved machine learning based defect location technology (technology for automatically finding defective code found during software testing), which is on parity with existing methods researched by man, and also proved via machine learning that a more accurate method does not exist. Prof. Yoo provided the core elements of the theoretical proof, as well as led an international research team composed of researchers from China’s Wuhan University, Australia’s Swinburne University of Technology, and Briton’s University College London, and then submitted the paper to ACM Transactions on Software Engineering and Methodology in the Humies track. Fourteen teams competed in this year’s Humies track, out of which 9 passed the final selection from a panel of judges. The gold award went to a University of Sidney research team for using genetic algorithms for explaining the causal model of recent quantum entanglement research results. The bronze went to two teams, for a technology to optimize a structure’s truss arrangement, and a technology to optimize A/B testing on websites to maximize customer loyalty. ACM GECCO is a large scale conference with a proud 20 year history in the field of genetic and evolutionary computation research. Its 13 tracks cover various topics, including genetic and evolutionary computation, artificial life, artificial immune systems among others, and welcoms topics on both theory and application. This Humies Award was the 14th such award, created by ex-Stanford Professor John Koza, who greatly contributed to the research of evolutionary computation. Entries must prove via research papers that their evolutionary computation technique shows human parity in their performance in a specific field. Prof. Yoo is a world renown expert in the field of search based software engineering, which uses evolutionary computation techniques to solve software engineering problems....Read more