Together with Dr Kihong Heo (Univ. of Pennsylvania) and Prof Hakjoo Oh (Korea Univ.), Prof Hongseok Yang at KAIST received the ICSE 2019 ACM SIGSOFT Distinguished Paper Award for their paper “Resource-aware Program Analysis via Online Abstraction Coarsening.” ICSE is a top international conference in software engineering.
Jeon Tae-joon, a Ph.D. and Lee Na-kyung, a master's degree student both from School of Computing at KAIST (Advisor : Professor Kim Dae Young), were awarded the 1st prize in the AI HeLP Challenge performance presentation for automatically dividing right & left vents, left ventricle myocardium, and positive performance presentation. This challenge held at Asan Medical Center in Seoul on March 13 ,organized by the Ministry of Health and Welfare and Asan Medical Center.
Professor Ryu Suk-young of the School of Computing won the Excellence Award and Professor Kim Joo-ho won the Excellence Award at the Woe School Award, which was held on February 18 to commemorate the 48th anniversary of its foundation. Professor Ryu Seok-young's reward of 5 million won and matching scholarship of 5 million won by alumni Chang Byung-kyu contributed to the School of Computing Scholarship Fund. Congratulation
At KSC 2018 (Korea Software Congress 2018) held from Dec. 19, 2018 (Wed) to Dec. 21(Fri), Pyeongchang, our computer science students won two grand prizes, four excellence awards and one subsidy, as shown. Sincerely congratulates on your 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
At APLAS (Asian Symposium on Programming Language and Systems) 2018 which was held in Wellington, New Zealand on 12/3-5 and was sponsored by KAIST, Hong Jae-min (Advisor Ryu Seok-young) received the second prize for his thesis on Path Dependent Ties with Path-Equality at the Student Research Competition, which he participated with graduate students. He published the paper at ACM SIGPLAN Symposium on Scala, which was held in St. Louis, U.S. on September 28.
LeeSeong-ho(Advisor Ryu Seok-young) School of Computing, KAIST was selected as the best reviewer for the Artifact Evaluation at OOPSLA 2018 (Object-Oriented Programming, Systems, Languages, and Applications), a class S international institute in Boston, U.S. on Nov. 7-9 and won the Distinguished Artifact Evaluation Committee Member Award.
Last November, ten Ph.D. students from our computer science department were chosen for NAVER PhD Fellowship. The selected person is - Gong Tae-sik (Professor: Lee Sung-joo) - Kwon Hyun (Professor Yoon Hyun-soo) - Kim Hyung-kyu (Professor Kim Soon-tae) - Nam Jae-hyun (Professor: Shin Seung-won) - Park Joon-young (Professor Ryu Seok-young) - Park Jin-seok (Professor Lee Heung-kyu) - Jang Young-soo (Professor: Kim Ki-ung) - Jeon Seok-joon (Professor: Kim Min-hyuk) - Jeong Dae-ryong (Professor: Shin In-shik) - Ha Jae-hee (Professor Kim Myung-chul) NAVER PhD Fellowship program is a program that selects Ph.D. student who submitted the first paper to the top-tier conference/journal of each computing field and pays scholarships. Naver selected eight students for NAVER Phd Fellowship in 2015, six first and eight second in 2016, 11 in 2017, and 10 in 2018, and paid a total of 235 million won to the selected students.
Professor Geehyuk Lee received a Best Application Paper Award at ACM ISS 2018 for his paper “Design and Evaluation of Semi-transparent Keyboards on a Touchscreen Tablet.” Prof. Lee received a B.Sc. and an M.Sc. degree in physics from the Korean Advanced Institute of Science and Technology (KAIST) in 1990 and 1992, respectively, and a Ph.D. degree in electrical engineering from the University of Pennsylvania in 2000. He is currently an Associate Professor leading the Human-Computer Interaction Lab at the School of Computing at KAIST. His primary research interests are novel interaction devices and techniques for smart information appliances, wearable computers, and smart environments.
Two students from Graduate School of Information Security of School of Computing, KAIST, Choi Won-seok in Ph.d course and Lee Byeong-hak in master’s course(Advisor Professor Lee Ju-young) , won the grand prize for thesis “Indifferentiability of Truncated Random Permutations” at the 2018 National Cryptography Competition. The 2018 National Cryptographic Competition was held by the Korea Cryptographic Forum, Korea Institute of Information Security & Cryptology and and National Research Council of Science & Technology under the auspices of the National Intelligence Service to develop the nation's encryption technology. The total prize money is about 50 million won including the 10 million for the grand prize. Cryptographic Competition is divided into areas such as cryptography thesis, solving problems of cryptography, and ideas for using cryptography, and the grand prize is chosen only from the cryptography thesis area. The award ceremony was held at Ramada Seoul Hotel on November 15 as an additional event for the Future Password Workshop. In addition, Kim Sung-kwang in Ph.d course (Advisor Professor Lee Ju-young) received an incentive award in cryptography thesis section, and Kim Sung-kwang and Choi Won-suk in Ph.d course, and Lee Young-min in master’s course (Advisor Professor Lee Ju-young) received a special award.Two teams of undergraduates of KAIST hacking club GoN, led by Cha Sang-gil from Graduate School of Information Security, received the highest award and the incentive prize respectively in the problem-solving field. Meanwhile, Lee Ji-eun, a Ph.D. student in School of Computing, won the top prize at the National Cipher Skills Specialist Training Awards, and Lee Byeong-hak, a master's course student, won the excellence prize. Lee Byung-hak also won the top prize at the 2017 Cryptography Contest for his paper, "Tweakable Block Cippers Secure Beyond the Birtday Bound in the Ideal Cipher Model," which was adopted by the three major cryptographic societies Asiacrypt, this year.
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.
Together with Cristiano Calcagno, Dino Distefano and Peter O’Hearn at Facebook, Professor Hongseok Yang received the ACM SIGPLAN Most Influential POPL Paper Award for the paper “Compositional Shape Analysis by means of Bi-abduction,” which they presented at POPL 2009. POPL is a top international conference in programming languages. This annual award is given to the authors of the most influential paper among those published at POPL ten years ago. Prof. Yang is a full professor at the School of Computing at KAIST. His research area is programming languages, but he mostly works on problems that arise at the boundaries between programming languages and other areas, such as machine learning, statistics, probability theory and distributed systems. More information can be found in Facebook Research’s article: https://research.fb.com/popl-2019-most-influential-paper-award-for-research-that-led-to-facebook-infer/
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.
Professor Sung Ju Hwang 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
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.
The papers presented at the Korea Computer Congress 2018 at the Jeju International Convention Center (ICC JEJU) from June 20 to 22, 2018 was selected as the Excellence paper. Those are listed on the bottom. [Artificial Intelligence] Detecting Rumors, Fake News, and Propaganda on Sina Weibo with Classifier based on Random Forest , Choe Jung, Cha Mi Young, Lee Won Jae (KAIST) Speech/Music Pitch Classification Based on Bidirectional LSTM with Probabilistic Attention, Kim, Han - Gyu (KAIST), Jang Gil Jin (Kyungbook National University), Park Jung Sik (Hankuk University of Foreign Studies), Oh Young Whan · Choi Ho Jin (KAIST) [Computer Graphics and Interaction] Lipid Droplet Tracking Method using Optical Flow in 3D Cell Image Data Jihoon Cho·Jinah Park(KAIST)
Professor Youngjin Kwon, Yige Hu,Zhiting Zhu,Ian G. Neal, Vijay Chidambaram and Emmett Witchel received a best paper award at USENIX 2018 for their paper “TxFS: Leveraging File-System Crash Consistency to Provide ACID Transactions.” Prof. Kwon is an Assistant Professor at the KAIST School of Computing and leads the Operating System Research Lab. Before joining KAIST, he received his Ph.D. degree in computer science from the University of Texas at Austin in 2018. His primary research area is operating systems: new operating systems for nextgeneration services, file/memory systems for emerging storage and network technologies, and systems for security services. He is interested in practical research and technology transfers. VMware recognized his memory research, and he contributed to building his research idea to the VMware commercial Hypervisor.
In the "9th TOPCIT Regular Evaluation" conducted by Ministry of Science and ICT and Institute for Information&communications Technology Promotion(IITP) on May 19 (Sat), Ryu Hyung-Wook(Advisor: Choi Sung Hee) and Kwon Oh-chan(Advisor : Choi Gwang Mu), students in master’s course, won Grand Prize (Minister of Science and ICT) and Special Prize (Navy Chief of Staff Award). The awards ceremony will be held on July 13, 2018 (Friday), at the Sheraton Seoul Palace Gangnam Royal Ballroom (1st floor). TOPCIT is a system that diagnoses and evaluates the basic core knowledge, skills and attitudes required for ICT industry participants and SW developers to understand business and resolve tasks according to their needs and perform their business successfully.
Professor Jooyoung Lee and his students Won-Seok Choi and Byeong-Hak Lee won the grand prize for their paper “Indifferentiability of Truncated Random Permutations” at the 2018 National Cryptography Competition. Prof. Lee is an associate professor at the KAIST School of Computing. He received his Ph.D. degree in Cryptography from University of Waterloo in 2005. He worked for the National Security Research Institute (NSR) as a senior researcher from 2005 to 2011, and then Sejong University as a professor until he joined KAIST in 2016. His research interests are cryptography and combinatorics. He is currently working on provable security in symmetric cryptography: block ciphers, modes of operation, hash functions and message authentication codes.
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.
Professor Juho Kim received an Honorable Mention Award at the ACM CHI Conference on Human Factors in Computing Systems (CHI 2018) held in Montreal, Canada, on April 21-26. The CHI conference is the premier conference in the field of Human-Computer Interaction, and only the top 5％ of all papers receive the Honorable Mention Award. The study was a result of international cooperation with Ching Liu, a master’s student from Taiwan’s National Tsing Hua University and also an exchange student at KAIST, and Prof. Hao-Chuan Wang from UC Davis. In the paper titled “ConceptScape: Collaborative Concept Mapping for Video Learning”, they introduce a system that helps learners who watch lecture videos in an online education environment work together to create a concept map. Through the generated concept map learners can more easily explore and understand the content of the lecture. paper link: https://dl.acm.org/citation.cfm?id=3173961 more: https://kixlab.org/publications/
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.
Professor Moonzoo Kim and his team received a Distinguished Paper Award at IEEE ICST 2018 (International Conference on Software Testing, Verification and Validation) for their paper ‘Invasive Software Testing: Mutating a Target Program.’ Prof. Kim is an Associate Professor at the KAIST School of Computing. He received his Ph.D. degree at the Univ. of Pennsylvania in 2001. After working as a researcher at Samsung SECUi.COM and POSTECH, he joined the faculty of KAIST in 2006. He has focused on automated software testing and debugging techniques and closely collaborated with industries such as Samsung Electronics, LG electronics and Hyundai Motors to detect hundreds of bugs in industry software. His research has been published in top conferences such as ASE, FSE, and ICSE, and he has been actively working in the research community by serving as ICSE New Faculty Symposium 2016 cochair, ASE 2015 and ICST 2016 publication co-chair, and ICSE PC for 3 years in a row (2014-2016).
Prof. Juho Kim and Jean Y. Song, a doctoral student at the University of Michigan and a visiting researcher at KAIST School of Computing, won the 'Best Student Paper Award Honorable Mention' at the ACM 2018 Conference on Intelligent User Interface held in Tokyo. In the paper titled 'Two Tools are Better Than One: Tool Diversity as a Means of Improving Aggregate Crowd Performance', they present a new method to overcome the limitations of existing crowdsourcing techniques. By providing multiple tools with complementary properties to crowd workers, it improves the accuracy of the aggregated result by minimizing the errors coming from crowd workers using a single tool. https://dl.acm.org/authorize?N43044
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.
Hyosu Kim, a Ph.D. candidate in the School of Computing, won the bronze prize in the Computer Science & Engineering division of Samsung Electronics Human Tech papers on February 7th. A research team composed of Ph.D. candidates Hyosu Kim and Byungil Kim (advisor: Prof. Insik Shin) at KAIST and Ph.D. candidate Daehyeok Kim at CMU won the prize by developing a touch detection technology using touch sound in a mobile environment. The team was highly acclaimed for their sound-based techniques and mobile HCI technology. Title - TapSnoop: Leveraging Tap Sound to Infer Tapstrokes on Mobile Touch-screen Devices Authors - Hyosu Kim (KAIST), Daehyeok Kim (CMU), and 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 the research atmosphere in schools. An article in Korean is available at the following: https://humantech.samsung.com/saitext/board.do
Professor Key-Sun Choi received a 2018 KAIST International Cooperation Award for his efforts in international cooperation. Prof. Choi is a Professor at the KAIST School of Computing. He served as the President of KSCS (Korean Society for Cognitive Science) in 2006, the President of AFNLP (Asian Federation of Natural Language Processing) between 2009 and 2010 and the Director of AAMT (Asia-Pacific Association for Machine Translation) from 2000 to the present. Major ongoing projects of Prof. Choi’s current research interests include “Exobrain WiseKB” which focuses on the construction of a wise knowledge base and question-answering platform, “Bio & Medical Informatics, PACS,” which focuses on the knowledge acquisition in the biomedical domain, “Eurostar” (Korean-Europe joint research project), which focuses on question-answering on mobile devices, and “VTT,” which focuses on edmotional intelligence.
Professor Dongsoo Han received a 2018 KAIST Innovation Award for his innovations in industry through technology transfer and commercialization and for sharing and spreading of research achievements. Prof. Han is a Professor at the KAIST School of Computing. His group, in collaboration with KTNET, built an indoor positioning and navigation system for COEX in 2010 and a KAIST Indoor Localization System (KAILOS) to realize an indoor GPS system in 2014. In 2011, Dongsoo Han founded the indoor positioning research center (IPRC) at KAIST. He is serving as director for the IPRC. In 2013, Dongsoo Han published the book “Infinite Challenge for Patents.” Dongsoo Han’s current research focus is on providing indoor positioning and navigation service for public buildings. Dongsoo Han is a member of IEEE and the IEEE Computer Society, and a board member of the ITS Korea Society.
Professor In-Young Ko received the 2018 KAIST Excellence in Teaching Award for his teaching efforts. Prof. Ko is an Associate Professor at the KAIST School of Computing. Prof. Ko received his Ph.D. in Computer Science from the University of Southern California (USC) in 2003. During 2005-2011, Prof. Ko was appointed as adjunct faculty for the Master of Software Engineering (MSE) program in the School of Computer Science at Carnegie Mellon University. Before joining KAIST, Prof. Ko worked as a postdoctoral research associate in the Distributed Scalable Systems Division at the USC Information Sciences Institute (ISI). His research interests span software engineering and Web engineering. He is currently conducting research on service engineering, service-oriented architecture, Web services, software reuse, service composition/mashups, Semantic Web, Web-based information management, and end-user software engineering.
Three School of Computing faculty members won the 2018 Faculty Award in Commemoration of the 47th foundation anniversary of KAIST: International Cooperation Award to Prof. Key-Sun Choi Innovation Award to Prof. Dong Soo Han and Excellent Lecture Award to Prof. In-Young Ko. The International Cooperation Award is given to a faculty member who has contributed largely to the university’s international cooperation, the Innovation Award to a faculty member who has contributed to innovations to industry through technology transfer and commercialization and to sharing and spreading of research achievements, and the Excellent Lecture Award to a faculty member who had the highest course evaluation results for the previous year. The award ceremony was held on Jan 12th 2018 at the 47th School Anniversary Event.
Professor Eunho Yang was awarded a 2018 Songam Future Scholar Research Excellence Award. The Songam Future Scholar Research Excellence Award is granted according to the will of President Lee of Korea Former Co. and is given to Assistant Professors in Engineering Schools with less than five years in that position with an excellent research performance in order to encourage their research activity. Prof. Yang is an Assistant Professor at the KAIST School of Computing. Prior to joining KAIST in the summer 2016, he spent two years as a research staff member at IBM T.J. Watson Research Center. He obtained his Ph.D. in 2014 from the University of Texas at Austin, and earned M.S. and B.S degrees from Seoul National University in Korea in 2006 and 2004, respectively. From 2006 to 2009, he was a researcher at Korea Telecom as the alternative military service in Korea. His research interests are in statistical machine learning in general with a special focus on high-dimensional statistics.
Prof. Jinah Park received an appreciation plaque from the Dean of College of Engineering for her devotion to KAIST Breakthroughs, a biannual research newsletter of the College of Engineering.
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.
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！
Research team “Is this real story” lead by Prof. Meeyoung Cha was awarded the President of Artificial Intelligence Industry Association Award for their AI technology for identifying fake news by finishing first place in the university division of ‘AI R&D Challenge’ held in Gyeonggi Creative Economy Center. The ‘2017 AI R&D Challenge Competition’ aims to find problems that have high economic and social influence but are considered too challenging, and solve them using the AI technology. The first topic is this year’s identification of fake news. To identify fake news with coherence and inconsistency of news content two tasks were to be solved, and the competition had 6 million Won prize and 18 year R&D support totaling 1 billion Won. 71 teams of individuals, universities and companies participated in the qualifiers and final rounds. The top 3 teams were awarded the Minister of Science and ICT Award and the President of Institute for Information &communications Technology Promotions Award, with special awards of President of Artificial Intelligence Industry Association Award and Intel Award. Prof. Cha’s team (with PhD Student Keonwoo Park, Masters student Jeongmin Kim, Undergraduate student Taekyoon Kim and 3 students from Graduate School of Culture Technology) formed industrial-educational cooperation with Withcat and Jamong Lab, and developed a recurrent neural network that uses paragraph level embedding vectors to classify the coherence of information. The research team conducted the research with the support of KAIST 2017 AI Flagship project.
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/
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)
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.
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.
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.