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  • IWAIT&IFMIA 2023 Keynote Speech

    Professor Jinah Park of KAIST School of Computing delivered a keynote speech at The International Forum on Medical Imaging in Asia (IFMIA) held in Jeju from January 9 to 11, 2023. IFMIA is an academic conference in which researchers from various Asian countries exchange recent research in the field of medical imaging, and has been held every two years since 2007, and this year held in collaboration with the International Workshop on Advanced Image Technology (IWAIT) conference. Professor Jinah Park, a co-keynote speaker at IWAIT/IFMIA, drew attention by giving a lecture titled "How would AI put an elephant into a fridge?" Related reference: https://ifmia2023.thinkonweb.com/keynoteSpeaker

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  • Best Paper Award at International Conference on Me..

    At "The 3rd International Conference on Medical Imaging and Computer-Aided Diagnosis" (MICAD), which was held as a hybrid at the University of Leicester in the U.K. from November 20th to 21st, Jihoon Cho (PhD program) (advised by Jinah Park) received "Best Paper Award" with his paper "Hybrid-Fusion Transformer for Multisequence MRI". The MICAD International Conference was approved by the MICCAI Society, the world's leading medical image computing and computer-assisted medical intervention association, for this year's 2022 conference. The conference covers various fields, such as medical imaging, electronics, computer-assisted diagnostics, physics, and machine learning that connect computer science and medical feild. MRI, which non-invasively photographs the inside of the body and reconstructs the inside of the body into a three-dimensional image, is photographed through various protocols depending on the filming site and purpose. The MRI taken in this way consists of several MRI sequences, and the characteristics shown by each sequences are different. Therefore, integrating these characteristics is the key in medical analysis. In this study, the research team proposed a Hybrid-Fusion method that integrates features between multiple MRI sequences and use it to build a training model, and demonstrate the excellence of the study through quantitative and qualitative evaluation. The results of this study proved their excellence in that MRI has contributed to the development of more advanced medical analysis methods as it is mainly used in various disease analysis.

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  • Won Grand Prize in the Cryptographic Analysis Cont..

    On October 13, 2022 (Thu), students of KAIST (President Lee Kwanghyung), Changwan Park (Bachelor of Electrical and Electronic Engineering), Seungki Min (Bachelor of Chemistry), Yoobin Choi (Bachelor of Computer Science), and Jae-woong Lee (Bachelor of Computer Science) won the grand prize at the 8th Cryptographic Analysis Competition in 2022 (Team Name: KAIST GoN) . The Cryptographic Analysis Competition is a competition hosted by the Defense Cryptographic Specialization Research Center and sponsored by the 777 Command to develop cryptographic analysis technology and find talent in the field of cryptographic decryption. The 2022 Cryptographic Analysis Competition was divided into seven categories: symmetric key cryptography, blockchain, password optimization on embedded systems, side channel attacks on ciphers, hash functions, and post-quantum cryptography. Team KAIST GoN won the Grand Prize which is the Minister of Defense Award for excellence in cryptographic optimization and post-quantum cryptography. The GoN club team recently ranked first at the international hacking defense competition "Codegate 2022".

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  • Won 1st Place in the International Hacker Defense ..

    It is an article about the club from our department, GoN ranked first at the international hacking defense competition "Codegate 2022” in university division. The Ministry of Science and ICT (Minister Lee Jongho) held “Codegate 2022”, an international hacking defense competition, at COEX from November 7th (Mon) to 8th (Tue) to discover the highest level of white hackers who will be in charge of cyber safety in the era of digital transformation. The “Codegate 2022”, which started in 2008 and marks its 14th competition this year, is an international hacking defense competition where the world's best white hackers compete, and was held offline for the first time in three years after the 2019 competition. * Due to COVID-19, the 2020 online competition was held, and the 2021 competition was canceled 2,647 teams from 48 countries attended the competition in the general division, 225 teams from eight universities in Korea in the university division, and 196 people from 27 countries in the junior division participated in the two-day heated competition. In the general division competition, Korea's "The Duck" team won the Science and ICT Minister's Award and 30 million won in prize money, while the KAIST's "GoN" team won the university division, and the Korea Digital Media High School's "Huh Seunghwan" the junior division received the Science and ICT Minister's Award and 5 million won, respectively. At the global security conference held as a side event, domestic and foreign cybersecurity experts gave lectures on the security paradigm of the future digital environment, including quantum resistant cryptography, zero trust, and metaverse security, under the theme of "New Era, New Threat: Reorganization of Cybersecurity Strategy" In addition, in the hacking experience zone, ordinary participants joined an event to experience hacking and recognize the importance of cybersecurity through blockchain hacking, security vulnerability experience, and CTF hacking competition experience events. The minister of the Ministry of Science and ICT, Lee Jongho, said, "Our daily lives have become more convenient as new technologies such as smart homes and self-driving cars are introduced due to the spread of the digital environment, but cyber threats have directly affected our lives beyond staying in cyberspace." The government also said, "We are actively pursuing a ’A Hundred Thousand Cyber Talent Training Plan' to foster competent human resources who will be responsible for cybersecurity," and asked participants to "play a key role in the safety and development of cyberspace in the future."

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  • Junsoo Lee, an undergraduate of our school won an ..

    Junsoo Lee, an undergraduate student (Advisor: Prof. Sungjin Ahn) of our School developed 'Age-free Kiosk for the Digitally Underprivileged' and won the Minister of Science and Technology Information and Communication Award at the 'SW Centered University Joint Hackathon 2022' held online from June 22 to 24.

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  • Ulzhalgas Rakhman received the “Outstanding Paper ..

    Ph.D. student Ulzhalgas Rakhman advised by Professor Daehyung Park in the Robust Intelligence and Robotics Laboratory (RIRO Lab) received the “Outstanding Paper Award'' at the 17th Korea Robotics Society Annual Conference (KRoC 2022) organized by the Korea Robotics Society. KRoC is the best robot specialized academic conference in South Korea. The conference was held hybrid (both online and offline) for three days, from May 11th to May 14th in Phoenix Pyeongchang, Gangwon-do. 64 papers were submitted to the conference and 6 papers among them were selected as outstanding papers. The research paper[1] entitled “Reactive Task Planning using Scene Graphs for Robust Robotic Manipulation” was selected as an outstanding paper at the conference. The awarded research paper proposed a reactive task planning and execution framework adopting scene-graph to resolve the problem of external interventions in robotic assembly tasks. The framework overview is illustrated below: The research was supported by a National Research Foundation (NRF) grant funded by the Korea government (MSIT) (No. 2021RICICI004368 and 2021R1A4A3032834). [1] Ulzhalgas Rakhman, Jaehoon Yoo, Yeseung Kim, Deokmin Hwang, Seunghoon Hong, and Daehyung Park*, “Reactive Task PLanning using Scene Graphs for Robust Robotic Manipulation”, Korea Robotics Society Annual Conference (KRoC), 2022

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  • Students of our school won in the 2021 NC Fellowsh..

    < (from left) Kyungwon Jung, Seungmin Hwang, NCSOFT official> On April 25, 2022, Seungmin Hwang and Kyungwon Jung of our School were awarded the winning team in the 2021 NC Fellowship Neural Graphics Competition hosted by NCSOFT. Seungmin Hwang and Kyungwon Jung (KAIST Team Keon-Gon-Yil-Cheok), students in our school, were selected as the “winner" by achieving the best results in the 2021 Neural Graphics Competition, where 6 excellent domestic universities, including KAIST, participated. After taking the Introduction to Computer Graphics (CS380) course lectured by Professor Min H. Kim of the School of Computing in the spring of last year, 4 representative students were selected to participate in the competition from July 2021 to February 2022. In the competition, 2 students work as a team to solve Computer Graphics problems using Deep Learning. ‘NC Fellowship’ is a program led by NCSOFT to support university students to gain experience and knowledge in AI research with the help of engineers. Separately from the previously operated ‘Game AI Track’, the ‘Neural Graphics Track’ newly established in 2021 is a new field that combines Artificial Intelligence and 3D Computer Graphics. The winning team gets a 7 million won prize and internship opportunity.

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  • Professor Kihong Heo's research team from KAIST Sc..

    < Hyunsu Kim (left), Professor Kihong Heo (right) > In May 2022, a research team of KAIST SoC Professor Kihong Heo, his graduate student Hyunsu Kim, and researchers from the University of Southern California, published a paper and received the Best Artifact Award (thesis title: Learning Probabilistic Models for Static Analysis Alarms) at ICSE 2022 (The 44th ACM/IEEE International Conference on Software Engineering), the best academic conference in the field of software engineering. In this paper, the research team proposed a framework for the learning method of the Bayesian alarm ranking system to improve the usability of the SW error detection system using program static analysis, and demonstrated its excellence through systematic experiments. The Best Artifact Award is awarded to a research team recognized for their outstanding research achievements and contributions that have provided the basis for further research by transparently disclosing all implementations and data to academia. The Bayesian Alarm Ranking System is a next-generation software error detection system that Professor Heo's research team has been working on since 2018. Its achievements have been consistently recognized at the best international academic conferences for the past 5 years. In 2019, it was recognized for its academic excellence by receiving the best thesis award at the PLDI conference, the best academic conference in programming languages. In the most recent study, they proposed a learning algorithm that dramatically improves the performance of the system developed over the past five years. In addition, they were honored with the award which was given in recognition of the fact that all data and programs used in the experiment were made publicly accessible to subsequent researchers. Professor Kihong Heo, who is in charge of this research, emphasized, “We scientists are people who, as Newton said, ‘get on the shoulders of giants and see the world from afar'" and “our research was successful because there were records of existing researchers, which we highly appreciate for.” “It would be blissful for us if other follow-up researchers to step on our research artifacts and look further afield,” he added. Paper Link: https://conf.researchr.org/details/icse-2022/icse-2022-papers/62/Learning-Probabilistic-Models-for-Static-Analysis-Alarms Award Link: https://conf.researchr.org/track/icse-2022/icse-2022-awards?#icse-2022-best-artifact-awards

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  • Jinwoo Kim was selected as a recipient of the Kwan..

    Jinwoo Kim, an integrated MS & Ph.D. student (advisor: Prof. Seunghoon Hong) in our department, was selected as a scholarship recipient of the 2022 Kwanjeong Lee Jong-Hwan Education Foundation scholarship as a graduate student in domestic university. He will receive in total 22 million won. The Kwanjeong Education Foundation is the largest scholarship foundation in Asia, where Chairman Lee Jong-hwan of Samyoung Chemical Group has been conducting domestic and foreign scholarship projects since 2002 by donating all of its assets. The program aims to support talented Korean students to grow into global figures in their respective fields. Scholarships for domestic graduate students are decided by their applications and interviews after the recommendation from the school based on their academic ability and research activities. Congratulation, Jinwoo!

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  • Min-woo Song, an undergraduate student in KAIST Sc..

    Last December 18th, Min-woo Song, an undergraduate student at KAIST School of Computing, published Meta Sapiens, a popular liberal arts book related to the metaverse. This book was recommended by Professor Sangkyun Kim, a well-known domestic expert on metaverse, JH Ryu, the group head of Kakao Entertainment, and Professor Jeong-woo Jang at the School of Humanities & Social Sciences, KAIST. Song, who transferred from the Electrical and Electronic Engineering Department to the School of Computing Science in January of this year, has been working as a 3D graphic designer and Unity3D developer on VRChat, a domestic social VR platform, for the past two years, and has been active in various related user communities for a long time. Song wrote his book based on his experiences with social VR. His book discusses the direction that virtual reality and the established media at the forefront of the metaverse should pursue in the future. It highlights the essence of virtual reality communication by detaching it from the overrated metaverse as a business keyword.

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  • Dr. Sungkyu Park appointed as an assistant profess..

    Dr. Sungkyu Park (Advisor: Professor Meeyoung Cha) Dr. Sungkyu Park, a graduate of our school, was appointed as an assistant professor in the Department of AI Convergence at Kangwon National University in March 2022. After graduating from the School of Information and Communication Engineering at Sungkyunkwan University, Dr. Sungkyu Park received a master's degree in Graduate School of Web Science Technology from KAIST in 2014 (Advisor: Meeyoung Cha) and a doctorate in the Graduate School of Culture and Technology in 2020 (Advisors: Wonjoon Kim and Meeyoung Cha). Then, he worked as a senior researcher in the Data Science Group of the Institute for Basic Science (IBS). This year, he was appointed as an assistant professor in the Department of AI Convergence at Kangwon National University. Dr. Sungkyu Park conducts research in predicting and understanding mental health using deep learning-based time series analysis, computer vision, and natural language processing methodologies. He presented his accomplishments in top international conferences in the field including SIGKDD, CSCW, WWW, CVPR, and ECCV. He also published his research findings as a mobile app and served as the CEO of a startup called Sleeps. Dr. Sungkyu Park's website: http://shaun.kr/

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  • Dae-Young Park, a Master’s student of School of Co..

    Dae-Young Park, a Master’s student (advisor: Prof. In-Young Ko) of School of Computing at KAIST received the ‘Best Paper Award – 1st Place’ for the paper titled, “Urban Event Detection from Spatio-temporal IoT Sensor Data Using Graph-Based Machine Learning” in the 2022 IEEE International Conference on Big Data and Smart Computing (BigComp 2022) held in Daegu, Korea from 17th to 20th of January, 2022. In this paper, to meet the challenge of having less accuracy of detecting urban events as the granularity of processing data in the spatial dimension becomes finer, Mr. Park proposes a novel graph-based approach that analyzes geo-spatial characteristics of urban sensor data over time to keep the accuracy of detecting urban anomaly in finer grained geo-spatial scales. Through experiments using real-world urban datasets, he shows that the proposed approach effectively addresses the challenge and outperforms the popular machine-learning-based urban event detection methods.

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  • SoC students Sungwon Han and Berhane Weldegebriel ..

    KAIST SoC students Sungwon Han and Berhane Weldegebriel will be receiving an award from the AI X ART competition with their work ‘The sneakers universe.’ This work was jointly conducted with Prof. Meeyoung Cha, Dr. Sungkyu Park at the Institute of Basic Science, and Prof. Lev Manovich from the City University of New York (CUNY). The research team collects 23,492 sneakers images from the global online reselling shop and extracts latent design features from images via their novel contrastive learning algorithm. The overall appearance of sneakers can be seen at a glance by arranging the feature vectors in a two-dimensional space. Different from the original belief that sneakers are just a means of walking and most of them are in achromatic colors, the submitted work visualizes diverse designs and a variety of colors in sneakers. It shows that an individual's personality has become diversified these days. The National Science Museum will exhibit creative works using artificial intelligence technology under the theme of “Discovery of unfamiliar beauty through AI.” The winning works will be exhibited online from 11.19 (Fri) to 03.31 (Thu), 2022. AI X ART exhibition link: https://www.aixart.co.kr

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  • SoC students Eunji Lee and Sihyun Kim won the Pape..

    Eunji Lee, a Master student of Data Science Laboratory (Advisor: Prof. Meeyoung Cha) at our School won the paper award at JKAIA 2021 with the paper ‘Classification of Goods Using Text Descriptions With Sentences Retrieval.’ This work was jointly conducted with Dr. Sundong Kim and an undergraduate intern Sihyun Kim at the Basic Science Institute. This research was collaborated with Korea Customs Service and developed an interpretable model which predicts Harmonized System (HS) code using import/export declarations worldwide. HS code assignment has traditionally been done by customs officers and this code determines the tax tariff on customs goods. The model has an accuracy of 95.5% in the top-3 suggestions of 265 4-digit HS code and provides previous similar cases and key sentences from HS manual. The team expects this algorithm will assist customs officers in the future. JKAIA is a conference established for technology development and academic exchange in Artificial Intelligence related fields, and this year’s conference is held on Nov 4-5.

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  • Dr. Sungjae Hwang was appointed as an assistant pr..

    Sungjae Hwang will join the Department of Software at Sungkyunkwan University as an assistant professor from September 2021. Sungjae Hwang received his Ph.D. degree in Computer Science from KAIST under the guidance of Sukyoung Ryu. During his Ph.D. degree, he conducted Android security research and published papers at top-tier conferences in the software engineering field, such as ICSE and ASE. Recognitions of his research achievement, he received a best Ph.D. thesis award from KAIST and a Ph.D. scholarship from LG Electronics. Sungjae Hwang's excellent research achievements from KAIST indicate the outstanding research and education level of the School of Computing at KAIST.

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  • Kim Woojae, an undergraduate student in School of ..

    Title: Generative Adversarial Perturbations on Attention Space for Better Transferability Abstract: Adversarial attacks have exposed the vulnerability of deep neural networks by fooling them in various computer vision related applications. However, these attacks often suffer from low success rates against unknown black-box models, diminishing their viability in real-world usages. In this paper, we propose a novel method to boost the attack transferability from a white-box surrogate model to black-box target models. We perturb images on their attention space, attacking universal characteristics shared by different models and thus boosting transferability. Different from previous gradient-based methods that easily overfit to most vulnerable features unique to the surrogate model, we apply diversity regularization that guides our attack to explore more diverse features to perturb, decreasing the overfitting issue of the attack. We optimize these objectives using a generator. Extensive experiments on the existing benchmarks show that our attack outperforms the prior transfer-based black-box attacks in terms of transferability, thanks to the attention guidance and diversity regularization. Congratulations on winning the award!

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  • Jang Youngjae, an undergraduate student in School ..

    Youngjae Jang, an undergraduate student in the School of Computing, KAIST, a team leader of FocusWithMe, who developed a social platform called Dive In, that helps focus on work and study, even in contact-free circumstances, won the grand prize (the Award from the Minister of Science and ICT) at the online hackathon held for 3 days, from the 4th to the 6th of February. This hackathon, which was held for 3 days from the 4th to the 6th of February, was for providing students in SW-centered universities (39 schools) with an opportunity to improve their software capabilities through experiences from planning to development, implementation, and collaboration of open source projects. To prevent the spread of Covid-19 and comply with social distancing, the entire process was conducted online, from application for participation to project planning, development, and evaluation. In this hackathon, which was held under the theme of “Software Challenges for a Digital New Deal,” a total of 38 teams participated, with 250 people in total, including SW majors and convergence-related majors from SW-centered universities, designer mentors and management staff. Developers and designers formed a team and conducted a project by implementing apps, services, and libraries. And some events, such as mentoring, special lectures, and Q&A sessions, were provided for project participants with opportunities to enhance their competencies. In this competition, 8 teams (double award for 2 teams) in total were honored with an award: the grand prize (1 team), the best award (2 teams), the excellence award (3 teams), the special award (2 teams), and the sponsor company award (2 teams). Winners were chosen through online voting from the professors of SW-centered universities, industry experts, and student participants. Related articles: http://www.kdpress.co.kr/news/articleView.html?idxno=100763 http://www.hellot.net/new_hellot/magazine/magazine_read.html?code=202&sub=004&idx=56603 http://www.segyebiz.com/newsView/20210210508612?OutUrl=naver http://www.epnc.co.kr/news/articleView.html?idxno=201010

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  • Dr. Seung-Hwan Baek (Advisor: Prof. Min H. Kim), a..

    On February 16, 2021, Dr. Seung-Hwan Baek (Advisor: Professor Min H. Kim) of our School was awarded the Grand Prize in the IT category for the 10th Excellent Dissertation Award from the S-OIL Science and Culture Foundation. The award winners were selected based on their academic papers published in outstanding international journals during their doctoral degrees. This award is jointly conferred to the doctoral student who has published a number of excellent theses and his/her advisor. Dr. Seung-Hwan Baek and Prof. Min H. Kim were highly recognized for their computational imaging technology using lightwave characteristics, especially in the field of computer graphics/computer vision. Dr. Baek is currently serving as a postdoc researcher at Princeton University, so his mother attended the award ceremony in place. Under the auspices of the S-OIL Science and Culture Foundation, the Korean Academy of Sciences and Technology runs the S-Oil Awards Project to encourage young scientists who are devoting themselves to research in the fields of basic science and engineering. It contributes to the promotion of science and technology development and the cultivation of outstanding scientific talents who will become the leaders of our society for the next generation. The awards ceremony was organized by the Korean Academy of Science and Technology, the Association of Korean University Presidents, and the S-Oil Science and Culture Foundation. Congratulations.

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  • Won the Grand Prize in the 2020 National Cryptogra..

    Yeongmin Lee, Byeonghak Lee, and Wonseok Choi, Ph.D. candidates in KAIST Graduate School of Information Security (GSIS) (Advisor: Jooyoung Lee) won the Grand Prize in the 2020 National Cryptography Competition with their publication "Improved Security Analysis for Nonce-based Enhanced Hash-then-Mask MACs". The award ceremony took place at the Future Cryptography Workshop which was held in El Tower, Yangjae-dong, Seoul, on October 22. The 2020 National Cryptography Competition was hosted by the Korea Information Security Association's Korea Cryptographic Forum with support from the National Intelligence Service for the development of domestic cryptographic technology. The total reward is 50 million KRW (which is about $45,000) including 10 million KRW for the grand prize. This year's competition was open for the field of cryptographic source technology and cryptographic technology application, and only one paper was selected for the grand prize among these two fields. Byeonghak Lee, Yeongmin Lee, and Wonseok Choi also won the second prize, and Seongkwang Kim, Jincheol Ha, and Wonseok Choi, who are Ph.D. candidates from the same lab received special awards. Byeonghak Lee and Seongkwang Kim won the Grand Prize for the paper “Tight Security Bounds for Double-block Hash-then-Sum MACs” at the 2019 National Cryptography Competition. This year, the paper was also presented at Eurocrypt, which is one of the top conferences in cryptography.

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  • Taesik Gong of KAIST has been awarded Google PhD F..

    Taesik Gong of KAIST has been awarded Google PhD Fellowship. The Google Ph.D. Fellowship program that recognizes and supports outstanding, promising graduate students in computer science and related fields, just announced the list of recipients for 2020. A total of 53 students were selected in 12 fields from universities around the world. Taesik Gong, a researcher at KAIST, was one of the awardees in the Machine Learning field. Taesik Gong is a Ph.D. candidate at the Networking and Mobile Systems Lab of KAIST (Advisor: Prof. Sung-Ju Lee from the School of Electrical Engineering). His research interest is the intersection of mobile sensing and machine learning. He was selected for the Google Ph.D. Fellowship 2020 in recognition of ongoing his research achievements in "condition-independent mobile sensing". He has published and presented his work as the primary author at top conferences such as ACM SenSys and ACM UbiComp. He has experiences working at Microsoft Research Asia and Nokia Bell Labs as a research intern. He was also the winner of NAVER Ph.D. Fellowship in 2018.

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  • Undergraduate Mina Huh received the URP Grand Prix

    Mina Huh, an undergraduate student in KAIST School of Computing, received the Grand Prix at the 3rd presentation hall of the 2020 Winter/Spring Undergraduate Research Participation (URP) Program Workshop held online on Thursday, August 27th. (advisor: Prof. Juho Kim, TA: Ph.D. Candidate Minsuk Chang). URP program is a project supported by the Ministry of Education and the Korea Science and Creativity Foundation to enhance the creative research capabilities of undergraduate students and provide opportunities for self-directed research. Title: Data Modeling Techniques for Supporting Conversational Interaction in Video Tutorials Abstract: When watching video tutorials, viewers often need to pause, rewind, or skip to clarify misunderstandings, and to find missing or anticipated information. The target scene can be referenced in terms of their content, or by their temporal location. Voice interfaces are theoretically useful for controlling video tutorials, especially when the hands are tied by following physical tasks. However, they only support remote-control like commands such as “skip 30 seconds” that are based on temporal references. As a result, viewers must remember a sequence of events, their temporal locations and maintain a mapping between them while following the tutorial. We present RubySlippers, a multimodal system that allows users to navigate video tutorials by conversational description of the content, while keeping the time-driven navigation. The system runs on an NLP pipeline which compares the semantic composition of the user’s utterance and that of the video content to populate navigation target candidates. Our evaluation with 12 participants shows that users are able to navigate quicker with lower mental demand with RubySlippers than existing time-driven voice interfaces. Congratulations on the award.

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  • Dr. Sungho Lee was appointed as an assistant profe..

    Dr. Sungho Lee was appointed as an assistant professor of the computer science department at Chungnam National University in September 2020. With the research topics related to programming analysis, he received a Ph.D. from Prof. Sukyoung Ryu in 2020 and he’s been working as a visiting faculty researcher at Google. Dr. Lee had published many papers in top international conferences including ICSE, ASE, ISSTA, and he was awarded the 2020 Best Paper Award in dept. of Computer Science at KAIST, 2018 OOPSLA Distinguished Artifact Evaluation Committee, 2017 NAVER Ph.D. Fellowship Award, as well as four times of Best Teaching Assistant Award.

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  • Jaemin Hong was selected as a recipient of the Kwa..

    Jaemin Hong, a master's student (advisor: Prof. Sukyoung Ryu) in our department, was selected as a scholarship recipient of the 2020 Kwanjeong Lee Jong-Hwan Education Foundation scholarship as a graduate student in domestic university. He will receive in total 22 million won. The Kwanjeong Education Foundation is the largest scholarship foundation in Asia, where Chairman Lee Jong-hwan of Samyoung Chemical Group has been conducting domestic and foreign scholarship projects since 2002 by donating all of its assets. The program aims to support talented Korean students to grow into global figures in their respective fields. Scholarships for domestic graduate students are decided by their applications and interviews after the recommendation from the school based on their academic ability and research activities. Congratulation, Jaemin!

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  • KHC excellent demonstration award

    Jaehyun Jang (advisor: Prof. Jinah Park) received an excellent demonstration award for ‘a touch sensing rendering method of virtual fluid through contactless haptic interface’ at 11th Korea Haptics Community (KHC) in Seoul National University convention center on August 30-31. He is a Ph.D. candidate at the KAIST School of Computing. Congratulations! KHC was founded in 2007 by some active haptic-based research groups in Korea and it makes efforts to develop domestic research on haptics by supporting various research and network activities.

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  • Yeonsu Kim, an undergraduate student of the KAIST ..

    Yeonsu Kim, an undergraduate student of our school, won the best research award of the undergraduate research program (URP) on August 28, 2019 (advisor: Prof. Sung-Ju Lee and research assistant: Taesik Gong). This research is a collaborative work with Prof. Jinwoo Shin at the School of Electrical Engineering and is accepted to an international conference, ACM SenSys: Taesik Gong, Yeonsu Kim, Jinwoo Shin, and Sung-Ju Lee, "MetaSense: Few-Shot Adaptation to Untrained Conditions in Deep Mobile Sensing", In Proceedings of ACM SenSys 2019. They propose a novel method that allows machine learning applications using mobile sensors under ill-posed conditions. Recently, deep learning evolution allows researchers to focus on running various applications on personal mobile devices, for example, diagnosing heart attack using a mobile sensor. However, these deep-learning-based applications have presented suboptimal performance when using untrained personal data or devices. This work encourages more practical mobile sensing applications to be developed.

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  • Sungjoon Park, a Ph.D. student of the KAIST School..

    https://ai.googleblog.com/2019/09/announcement-of-2019-fellowship.html A Ph.D. student Sungjoon Park (advisor: Prof. Alice Oh) was awarded the 2019 Google Ph.D. Fellowship in the field of Natural Language Processing (NLP) area. Google has been conducting the Google Ph.D. Fellowship Program from 2009 to spotlight Ph.D. 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 in each field as mentors to discuss the research and get feedback. This year, a total of fifty Ph.D. students worldwide were awarded, including three Korean students out of ten students in East Asia. Sungjun Park’s research on Computational Psychotherapy via machine learning (ML) -based NLP has enabled him to award the fellowship. Throughout his Ph.D. years, Sungjun Park proposed to adapt distributed representations, which are generally used in the ML-based NLP area, to Korean. In addition, he presented methods of analyzing trained distributed representation at the annual conference of the association for computational linguistics (ACL) and the conference on empirical methods in natural language processing (EMNLP) in 2017 and 2018, respectively. Recently, he proposed criteria to classify psychological counseling clients’ utterance according to their factor in the counseling dialogue and presented at the annual conference of the North American Chapter of the Association for Computational Linguistics (NAACL). In addition, he is actively working on artificial neural network-based dialogue model generation, complex emotion extraction and prediction from the text, and developing computational psychotherapy applications.

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  • Dr. Seongkook Heo, appointed as an assistant profe..

    Dr. Seongkook Heo (advisor: Prof. Geehyuk Lee) was appointed as an assistant professor in the computer science department at the University of Virginia on August 12, 2019. He had worked as a postdoctoral researcher at the University of Toronto after achieving his Ph.D. degree from the KAIST School of Computing in 2017. Dr. Heo has worked on developing various human-computer interaction methods and published papers in CHI, UIST, CSCW conferences, and IEEE Transactions on Haptics. He also received a Ph.D. fellowship from Naver company.

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  • 1st place in Cardiac Segmentation and Best Award i..

    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.

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