Prof. Min H. Kim Awarded Top 10 Distinguished Rese..
Our very own School of Computing Professor Min H. Kim won a Top 10 Distinguished Research Achievements of KAIST award during the 2017 KAIST Research Day, held Tuesday morning at KI building’s Fusion Hall. The award recognized his contributions to KAIST, citing his research in “Bi-refractive Stereo Imaging for Single-Shot Depth Acquisition”. We sincerely congratulate him on his accomplishment....Read more
KAIST to develop quantum computer proof ‘fully hom..
Below is an article on School of Computing Professor Kwangjo Kim’s efforts on developing ‘fully homomorphic crypto-signature’ to prepare us for the age of quantum computing. (in Korean) http://www.etnews.com/20170509000056...Read more
KAIST Professor Kwangjo Kim becomes the first Kore..
Following is a link to the ET News article on Professor Kwangjo Kim, the first Korean International Association for Cryptologic Research Fellow. http://www.etnews.com/20170501000100...Read more
Prof. Insik Shin awarded Samsung Future Technology..
Our very own School of Computing Professor Insik Shin was awarded Samsung Future Technology Promotion Project, Creative ICT Component. The project launched in 2013 to provide support for basic research, material science, and ICT, with 1.5 trillion won of funding for 10 years. Prof. Shin was awarded the project for: “SecureBox: development of a TEE-based secure system in a cloud / machine learning service environment for user privacy protection”. We congratulate him on the selection. http://www.ebn.co.kr/news/view/885637...Read more
School of Computing Professor Otfried Cheong desig..
ACM Distinguished Members can be either a Distinguished Engineer, Distinguished Educator, or a Distinguished Scientist. The title of Distinguished Scientist is awarded to an expert with over 15 years of experience in the field, over 5 years of consistent ACM activities, and a significant contribution or influence to the field of computing. Less than 10％ of ACM members are Distinguished Members, and Prof. Cheong was among the 45 selected this year, the only Distinguished Scientist in Korea. Reference: http://awards.acm.org/distinguished_member/year.cfm Prof. Otfried Cheong received his Ph.D. from Freie Universitaet Berlin in 1992, and enjoyed successful careers at Utrecht, POSTECH, HKUST, and TU Eindhoven before settling in KAIST in 2005. His research group explores discrete geometry and computational geometry....Read more
Prof. Jaehyuk Huh’s lab awarded Star Lab status
Our very own Professor Jaehyuk Huh’s lab was selected as a SW Star Lab, and will receive additional funding associated with the project. We congratulate the lab’s success. Related article (Korean): http://m.news.naver.com/read.nhn?mode=LSD&mid=sec&sid1=105&oid=029&aid=0002396402...Read more
Prof. Kwangjo Kim designated International Associa..
Following is an article on how our very own Prof. Kwangjo Kim became the first Korean to become an International Association for Cryptologic Research (IACR) Fellow. Since 2004, the IACR has selected 2 to 6 members a year as IACR Fellows for their major contributions to and the promotion of scholarly activities in the field of cryptologic research. Prof. Kwangjo Kim is the first Korean to receive such an honor We most sincerely congratulate him on his success. Article (in Korean): http://www.zdnet.co.kr/news/news_view.asp?artice_id=20170313102345&type=det&re=#csidx2f36e03266f76a9bcd32fe513302471...Read more
SoC alumnus Jae-Pil Heo, Ph.D., appointed Assistan..
Our very own School of Computing graduate Jae-Pil Heo, Ph.D. (2015, advisor: Prof. Sung-Eui Yoon) was appointed an Assistant Professor at Sungkyunkwan University. Dr. Jae-Pil Heo researched image signature compression and indexing techniques for large-scale image search, and worked as an Adobe intern, and a researcher in ETRI. Dr. Heo’s main areas of interest include: large-scale image search, scalable nearest neighbor search, compact data representation for high dimensional data collision detection, and geometric data structures and algorithms. His principal research achievements are as follows: Shortlist Selection with Residual-Aware Distance Estimator for K-Nearest Neighbor Search Jae-Pil Heo, Zhe Lin, Xiaohui Shen, Jonathan Brandt, and Sung-eui Yoon IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 Distance Encoded Product Quantization Jae-Pil Heo, Zhe Lin, and Sung-Eui Yoon IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014 VLSH: Voronoi-based Locality Sensitive Hashing Tieu Lin Loi, Jae-Pil Heo, Junghwan Lee, and Sung-Eui Yoon IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2013 We congratulate his appointment as Assistant Professor....Read more
SoC GSIS alumnus Il Gu Lee, Ph.D., appointed Assis..
Our very own School of Computing, Graduate School of Information Security’s first Ph.D. graduate Il Gu Lee (advisor: Prof. Myungchul Kim) was appointed an Assistant Professor at Sungshin Women’s University, College of Knowledge-Based Services Engineering, Department of Convergence Security Engineering, as of March, 2017. Dr. Lee graduated with his paper: Interference-Aware Secure Communications for Wireless LANs. He researched 5G giga-scale wireless communication systems and wireless LAN for 9 years at the Electronics and Telecommunications Research Institute (ETRI), and recently spent 3 years researching wireless LAN based low energy long range IoT chipsets at Newratek, a lab based startup. Dr. Lee presented at various internationally renowned conferences and journals during his graduate school years in KAIST, researching wireless communication system security, performance, and energy efficiency as a masters and doctorate student. He plans to continue his research in IoT sensors & communication, and convergent security...Read more
2017 46th Anniversary Awards
The celebrations for the 2017 46th Anniversary of KAIST was held at the KAIST Auditorium on Jan. 16th. Our very own School of Computing Professor Sukyoung Ryu received the Best Lecture Award, undergraduate Soyun Park (Advisor: Prof. DooHwan Bae) received the Creative Activities Award, and School of Computing staff member Mikyung Kim received the Service Award. We congratulate them on their achievements....Read more
Prof. Dae Young Kim launches joint research with t..
Our very own Professor Dae Young Kim and his research team launched a joint research with the European Union (EU) on developing and establishing an open standard and architecture for an integrated Internet of Things (IoT) global produce business ecosystem as a part of The Internet of Food & Farm 2020 (IoF2020). Article (in Korean): http://www.sedaily.com/NewsView/1OAURXDKKL...Read more
School of Computing Ph.D Graduate Young-Seob Jeong..
School of Computing graduate Young-Seob Jeong, Ph.D, (Advisor: Prof. Ho-Jin Choi) was appointed Assistant Professor at Soon Chun Hyang University’s Big Data Engineering Department as of 2017 Jan. 2nd. Dr. Jeong graduated 2016 Feb with his paper “한국어 문서로부터의 시간 정보 추출” (Extracting time data from documents in Korean), after which he joined Naver Labs to research conversational AI. From this year onwards, he will continue his research in AI and data mining at Soon Shun Hyang University’s Big Data Engineering Department. Having graduated from KAIST’s School of Computing for both his Master’s and Doctorate, his fields of interest included topic modeling, text summarization via deep learning techniques, time dependent trend analysis, smartphone usage analysis, image segmentation, and time data extraction. He has published on internationally renowned journals such as Soft Computing, Sensors, IET Computer Vision, presented multiple of his research papers in internationally renowned academic conferences such as AAAI, CoNLL, COLING, PAKDD, and continues to do research in topic modeling, usage pattern analysis using deep learning techniques, and data extraction from text....Read more
Undergraduate Seunggeun Baek awarded the TOPCIT gr..
Our very own Seunggeun Baek (Undergraduate, guidance professor: Moonzoo Kim) was awarded the grand prize in IITP’s 6th TOPCIT Regular Scheduled Evaluation, held at the Seoul Palace Hotel last Dec 22nd. We extend our most sincere congratulations. ＊＊Article (in Korean): http://www.ajunews.com/view/20161223160755505. ＊ TOPCIT is a test to diagnose and evaluate a person’s core abilities to successfully perform in the Software (SW) industry....Read more
KAIST School of Computing Professor Dongman Lee aw..
Our very own School of Computing Professor Dongman Lee was awarded the Individual Contribution Award at the 11th Korea Internet Award, an event held by the Ministry of Science, ICT, and Future Planning last Dec. 13th at the Gyounggi Creative Economy Innovation Center. The ceremony awards corporations, institutes, organizations, and individuals that made contributions to the Internet industry and social development in Korea. Prof. Lee has been appointed as the Chair of the Korea Internet Governance Alliance (KIGA), which has contributed to strengthening Korea’s international influence by participating in various domestic and international Internet governance activities, such as researching Internet governance policies, holding the Asia-Pacific regional Internet Governance Forum (APrIGF), among others. Furthermore, KIGA is contributing to laying the foundation for an IoT ecosystem by pushing for research, such as the research on a connected objects platform for personalized services in an IoT environment. Prof. Lee has continued to do research in the Internet of Things (IoT) platform since 2010, publishing 5 papers in SCI-tier journals, over 30 papers in recognized international conferences, over 10 papers in domestic publications, and applied for over 11 patents. In addition, he has established a working Internet of Things testbed environment on the 8th floor of the IT Convergence Center (N1). This allows various experiments to collect data, acting as a foundation for research on a global scale....Read more
Meeting Prof. Sukyoung Ryu, your friendliest mento..
KAIST ACM Student Chapter’s 1st newsletter presents an interview with Prof. Sukyoung Ryu. Every quarter, the ACM Student Chapter newsletter brings you an interview with a professor willing to be a mentor for students. The star of our first newsletter, Prof. Sukyoung Ryu, shares tips for future researchers, and advices for female scientists. You’re well known among the undergraduates for being very interested in them. Is there a reason you’re so attentive towards undergraduates? First, I’m interested in students. I even studied psychology because I wasn’t sure if I was counseling them correctly. I had to give up for various reasons, but I frequently ask for advice from the school’s counsellors. I feel like I can be a mediator between the school and the students. Also, a big part of it is I was a KAIST undergraduate myself. I want to share so many things I wish I knew. I was lucky in that I wasn’t a sensitive sort, and was happy with my time here, but I later found out many students did not feel the same. Many students worry about finding a research area that fits them. What led you to choose your current research area? I’m the kind of person that stumbles around, trying out many different things. I enrolled as a graduate student thinking I’ll work on databases or networks, fields that were popular at the time. However, the selection process at the time was even more professor friendly, and students didn’t have any say in what lab they joined. So I ended up in a PL (Programming Language) lab, an area I wasn’t interested in at all. I’m probably not a good role model, (laughs) but the story definitely fits me. For the School of Computing students: to be a developer or an engineer? First, how comfortable are you with studying things with no real answers? Those with faith and persistence should chose research, and those with talent that feel the joy of programming belong in industry. Secondly, you need experience to know what area you want to be in. There are lots of opportunities: URP, individual research, internships, exchange programs, etc. You’ll never know unless you try for yourself. Of course, you also need to stick with it for some time to really know. For those who want to go for research, how should you choose a research topic? Usually, you know what you don’t like by the junior year. Filtering them out makes it a bit easier. For me, it was architecture, parallel processing, OS and the like. Computer science can be split in to two broad categories, and finding which one you like can be of great help too. As long as you’re in the right half, you should be fine. The details can change later, and research is always about coming up with a problem you like. Any tips for undergraduates looking at graduate school? First, take compiler, networks, and DB. We look at what you took, not the grades you got. A student with lots of major courses will always win over a student with lots of liberal arts courses, even with a poor GPA. The best would be grades that keep climbing. All you need is an answer why. For example, getting lovesick, serving as a club president, just wanted to enjoy college life. Anything works. What do you look for in a graduate student? Depends on the field. For DB and networks, you need diligence, since you’re building large projects. For architecture, experiments can take a while so they want people that enjoy the work in and of itself. How new the lab is is also an important factor. For the first few years, the professor and the students’ chemistry is important. The few students decide how the lab will be. For our lab, we want students with the ability to survive as individuals. We don’t want people with inferiority complexes, or people that feel sorry for themselves. We want people with the nerve to look at an older student in the eye and say “No, that’s probably wrong.” It doesn’t matter how much you know. As a female scientist yourself, you’re also working in many different ways to encourage female students. Do you have any advice for KAIST’s female students? KAIST has so few females that I feel like a black sheep a lot of the times. Even when you’re wronged, it can feel like you were the one that made a mistake. You have to remember it’s not your fault. It’s draining to keep reminding yourself, so it’s also important to be selective about what you focus on. Also, this kind of sensitive issues are better voiced by our male students. Generally, when students see something wrong, they don’t speak out. Our male students should voice their concerns too. If you find yourself discriminated against for being female, or find yourself being sexually harassed, what should you do? First, make yourself heard. If you try to keep it under wraps instead of going public, the experience can stick with you. Find the courage instead of being sorry for yourself. If you can’t, find someone to speak for you. A few years ago, the school instituted the ombudsperson program. We have two really good natured retiree professors as ombudspersons. I think this kind of problem is best solved via ombudspersons. That’s what they’re for, a neutral party to speak on behalf of the wronged. Or, you could come to me. The student human right committee is also a good choice. If it can cause harm to you personally, it might be better for an impartial professor from a different department to be involved, instead of your guidance professor or someone else close to you. How should one solve these problems? Sexual harassment is not something you can solve by having smart people, it’s something you need to be taught. The society is full of sexual harassment we’re too used to to notice without looking for them. For example, an upperclassman at a welcoming party might say “who’s the prettiest freshman”. That’s not acceptable, but no one says anything. We need to educate people that this is wrong. Even the professors are being taught this now, but it’s hard to change things around with just taking a few online lectures. We need to be patient, and little by little be more mindful of our surroundings. That’s how you learn. Lastly, as an alumnus and a professor, what would you say to our undergraduates? First, leave your high school friends behind, and make more friends. If you look back, what high school you’re from is unimportant. When you first join, it feels like what school you’re from determines where you start off in the race, but after a while you realize everyone had a different starting point. You should forget about the unfairness of the starting point, and get many different friends. Second, health. Health is really important. In my 20’s, I exercised a lot, swimming and running. As a graduate student I went swimming with my friend almost daily, and that supported me in to my 30’s. Last, find a way to relieve your stress. Everyone’s different, and it’s up to you to find what works for you. As an undergraduate, I joined a music club and sang or cheered to relieve stress. It’s good to have a sustainable hobby to enjoy whenever things get rough. Credits available in the Korean article....Read more
“You can learn so much by just talking” – An inter..
KAIST ACM Student Chapter’s 2nd newsletter presents an interview with the handsome Prof. Sung-Ju Lee. “You can learn so much just by talking” – An interview with Prof. Sung-Ju Lee IEEE (Institute of Electrical and Electronics Engineers), the largest organization in the field of computer science and electrical engineering, evaluates its member scientists and engineers in to different ranks. From the bottom, you have Student member, Member, Senior member, and on the very top of the membership hierarchy, you have the Fellow. Only those with excellent and internationally renown research in the field qualify for the title. Prof. Sung-Ju Lee is one of the two IEEE Fellows at KAIST’s School of Computing. (Prof. Lee has since become the only Fellow, due to Prof. Kyu-Young Hwang’s retirement this year) What did you major? While studying abroad, wireless communication research was starting to get attention. Back then, we didn’t have Skype, and email was only just getting mainstream attention. I realized knowledge in networks would be crucial for helping people connect. The thought of exchanging information without any wires at all sounded amazing, something I wanted to be a part of; so I chose wireless networks as my major. But you’re not just working on networks. I was at a company for a long time after getting my degree. My work was in infrastructure, which doesn’t afford much people time, even when compared to other network work. As a professor, I want to do research I couldn’t before. My interest was always in connecting people, and mobile devices fit that goal perfectly. Back then, to explain my research to others, I had to be good at analogies. Now, I don’t have to do that anymore with the research I do. Human-Computer Interaction, Natural Language Processing, emotion analysis, Machine Learning, et cetera et cetera. They’re all so interesting, and I’m studying them all, albeit in a rather shallow fashion. Of course, research in Wi-Fi and infrastructure continues as well. Can you share one of your research with us? Smartphone application notifications interrupt people’s social interaction. People tend to ignore notifications when talking with their professors, but not when talking with their friends or family. It’s interesting and ironic that they feel it’s fine to be rude to those you care about the most. But most notifications are not urgent at all. We made an application that collects notifications until it finds a breakpoint between conversations, and only then alerts the user. For example, when people stop talking because someone went to use the bathroom. You were employed for quite some time I worked for HP (Hewlett-Packard Company) for 12 and a half years. It was mostly Wi-Fi work, which included the project with Shell, an oil company. It was the most fun I had, where I was charged with inventing a “next generation oil exploration system”. To find out where oil is, you need to dig, and that costs a lot. You dig holes to bury sensors, which geologists pore over for months, conducting seismology experiments. The research was on reinventing the wired system as a wireless system. It was a world first, and working from the beginning with the actual producers was of great help, learning about them and how they think. Why did you decide to become a professor after 12 and a half years? The reason I chose industry over academia was mostly to get back at my father, who was also a professor. The reason I choose academia over industry now is to be a good son. (laughs) Honestly, I enjoyed working with the young 3 month interns. Although I wasn’t paid anything for it, mentoring them was what felt the most rewarding to me. It felt like that was what I was best at. Research was fun, guiding students was fun, and so I became a professor. Also, I’m making more of a difference when I’m internationalizing Korean students, than if I’m doing research in America. You love talking with people It’s important to share your experiences and knowledge with others in your community, and speaking and listening is much more helpful for learning. Compared to American students, Koreans don’t seem to understand this fact, something I find disappointing. Korea is always about generating results, and showing off the results. The why and how are absent; only the result pops up after working on it alone. In other countries, professors don’t like students that keep to themselves. Is that why you encourage asking questions? I absolutely do encourage asking questions. It’s obvious, but by asking something, students realize they don’t know something. At first they’re skittish, but after one or two students start off, the rest start asking questions as well. At first, you ask the question and let them voice their opinions. Of course, I don’t plan the lessons specifically to encourage questions. I was immersed in a culture that encouraged debates, and it feels like students feel encouraged even if I’m just being myself. I heard students say they didn’t want to speak since they weren’t good at English, but felt encouraged after seeing their friends join in. Everyone was doing it, and so there was nothing to be scared of. It sounds a bit unfair, but 10％ of the grade is participation points, and students with good grades usually have full points in that respect. You have so many papers and patents. How do come up with all the ideas? It’s not something that’s easy to explain. For starters, it’s important to know what the problem is. Sometimes, you get a breakthrough after reading a countless number of papers. Research from other fields is especially helpful. You can look at the other fields’ solutions and get inspiration from them. Students doing research for the first time might find it hard to decide on what papers to read. Do you have any advice for them? Start with the main conferences in the field you’re interested in. Good papers are normally published at good conferences. After reading a few papers, you will recognize a few papers that keep getting referenced. Reading those papers next can then broaden your horizon. Asking for advice from older graduate students can be helpful as well. If you have research you want to do, even if it’s only a vague idea, ask other students and your professor for similar work and researchers in the area. Any words for KAIST undergraduates First, get all you can from KAIST’s excellent faculty. This doesn’t happen in lecture halls. You need to talk with them outside the classrooms. Don’t be afraid of professors. Engage with the professors. Secondly, don’t worry too much about grades. Your skills are much more important than your GPA. Third, make as much friends as you can. You need so many friends on top of your high school friends. Fourth, leave your comfort zone. Get as much new experiences as you can. Do something new, something you’ve never done before. I very much recommend going on an exchange program. It will help overcome the fear of starting something new. Lastly, don’t be afraid of English. Credits available in the Korean version....Read more
KAIST Center for Mobile Software Platform was awar..
KAIST Center for Mobile Software Platform (Head: Prof. Seungryoul Maeng) developed “UX Centric Mobile SW Platform”, designed to assist the development of next generation UX service technologies. During the commissioned research project, the Center has applied for 37 patents, both foreign and domestic, out of which 15 have been granted, while winning the best paper awards 10 times from various international academic conferences, and publishing 133 papers in Korea and internationally. In recognition of such results, they were awarded the Minister of the Ministry of Science, ICT, and Future Planning Award during the 2016 SW R&D Research Results Conference (2016 Nov. 29, COEX Grand Ballroom 105), an event hosted by the Ministry and the Institute for Information & Communication Technology Promotion (IITP). “UX Centric Mobile SW Platform” was designed with the advent of new services with new UX, and SW talent education in mind, providing an extensible situation processing platform expected to conserve device power....Read more
Check your child’s location in real-time… “Line Ki..
The following is a Korean article on the CEO of the developer of Line Kids Phone, Kiwi Plus: Sangwon Seo, a Ph.D student from the School of Computing (advisor: Prof. Seungryoul Maeng). http://www.hankyung.com/news/app/newsview.php?aid=2016110810471...Read more
Crowdsourcing based global indoor localization sys..
School of Computing Intelligent Service Lab (Prof. Dong-Soo Han) announced that they have developed a system for providing global indoor localization using Wi-Fi signals. The technology uses numerous smartphones to collect fingerprints of location data and label them automatically, greatly reducing the cost of constructing an indoor localization system while maintaining high accuracy. The method can be used in any building in the world, provided the floor plan is available, and there are Wi-Fi fingerprints to collect. To accurately collect and label the location information of collected fingerprints, the research team analyzed indoor space utilization. This led to a technology that classified indoor space in to places used for stationary tasks (resting spaces), and spaces used to reach said places (transient spaces), and separate algorithms to optimally and automatically collect location labelling data. A few years ago, the team has also implemented a means of automatically labelling resting space locations from collected signals in various contexts such as homes, shops, and offices via the users’ address information. The latest one allows for the automatic labelling of transient spaces’ locations such as hallways, lobbies, and stairs using unsupervised learning, also without any additional location information. Testing in KAIST’s N5 building and the 7th floor of N1 building proved the technology is capable of 3 to 4 meter accuracy given enough training data. The accuracy is comparable to technology using manually labeled location information. Google, MS, and other multinational corporations collected tens of thousands of floor plans for their indoor localization projects. Indoor signal map collection was also attempted but proved more difficult. As a result, existing indoor localization services were often plagued by inaccuracies. In Korea, COEX, Lotte World Tower, and other landmarks provide comparatively accurate indoor localization, but most buildings suffer from the lack of signal maps, preventing indoor localization services. Professor Dong-Soo Han claims that “This technology allows easy deployment of highly accurate indoor localization system in any building in the world. In the near future, most indoor spaces will provide localization services, just like outdoor spaces.” He further added that although smartphone collected fingerprints were left unutilized and discarded to date, the development of an application for the data will create a new field of wireless LAN big data fingerprinting. This new indoor navigation technology is likely to be valuable to Google, Apple, or other global firms providing indoor localization information for the whole world. Nonetheless the technology will also be valuable for Korean localization service firms for domestic localization services. Prof. Han added that “the new global indoor localization system deployment technology will be added to KAILOS, KAIST’s indoor localization system.” KAILOS was released in 2014 as KAIST’s open platform for indoor localization service, allowing anyone in the world to add floor plans to KAILOS, and add the building’s signal fingerprint data to help create a universal indoor localization service. As localization accuracy improves in indoor environs, despite the absence of GPS signals, applications such as location based SNS, location based IoT, and location based O2O are expected to take off, leading to various improvements in convenience and safety. Integrated indoor-outdoor navigation service is also visible on the horizon, fusing vehicular navigation technology with indoor navigation. [그림] 무선랜 핑거프린트 기반 스마트폰 실내 위치인식 [그림] 불특정 다수의 스마트폰을 통해서 수집된 핑거프린트의 수집 위치를 자동으로 라벨링하는 자율학습 기법 [그림] KAIST Indoor Locating System (KAILOS) 응용 서비스 및 관련 기술...Read more
Controlling a turtle with your mind…amazing techno..
Our very own School of Computing Professor Sungho Jo made an appearance on 8 O’clock News. Here is a copy of the segment. “Controlling a turtle with your mind…amazing technology” From SBS News (article in Korean) http://news.sbs.co.kr/news/endPage.do?news_id=N1003835422&plink=NEW&cooper=SBSNEWSSECTION&plink=COPYPASTE&cooper=SBSNEWSEND <Anchor> Control a turtle with but a thought. Just think “left” and it goes left, “right” and it goes right. This amazing technology is advancing every day. Reporter Kuhee Jung is with a story on how this is possible. <Reporter> Drink with a robot arm just by thinking about it. This is possible via the application of Brain-Computer Interface technology, where a computer reads the changes in brain waves that occurs when you think. Using this technology, you can control animals with just your thought. Turtles walk in figure 8 shaped paths, or walk in circles around an object: all done by a researcher thinking about it. The researcher can control the turtle with the use of a thought controlled curtain mounted on the turtle’s shell, taking advantage of turtles’ instinctive fear of darness, which forces them to walk towards the light. <Sungho Jo, Professor at KAIST> Turtles shrink when they can’t see, and head towards whichever direction their vision is not obscured. If we let them see to their right when the person thinks “right”, the turtle will instinctively walk to the right. <Reporter> These are brain waves, detected from various points on my head. The waveforms change according to whether I’m thinking “left” or “right”, which the computer analyzes, and once it understands what I’m thinking, it can read my mind. As Brain-Computer Interface technology advances, we expect to see applications such as robots to act as limbs of the disabled, remote controlled animals and robots for exploration, or real time analysis of emotions to help prevent mental illnesses such as depression....Read more
Yoon.Kim Scholarship Awarded
(Left to right: Kim Sooyeon, Geonwoo Kim, Yoon Minkyu) Our very own School of Computing undergraduate students Kim Sooyeon (Supervisor: Prof. Min H. Kim), Geonwoo Kim (Supervisor: Prof. Myungchul Kim), and Yoon Minkyu (Supervisor: Prof. KeeEung Kim) have been awarded the Yoon.Kim Scholarship. The Yoon.Kim Scholarship is operated by the Brain Science Research Center on behalf of NC Soft’s President Taek Jin Kim, and Dr. Songyee Yoon. The program awards undergraduate students economic aid each month, as well as providing On-the-Job Training. The scholarship was started to encourage student participation in research, as well as alleviating their economic situation. The 2016 fall semester scholarship plans to award a total of 1.8 million to 2.4 million won to each of the above students for the semester. We sincerely congratulate their Yoon.Kim Scholarsip....Read more
KAIST Convergence AMP Students Discuss Industry Co..
Students in the KAIST Convergence AMP course visited the main campus on the previous 8th of October to discuss industry collaboration. (article in Korean) http://www.etnews.com/20161011000352...Read more
School of Computing Research Roundtable Day (2016...
Research Roundtable was held today (2016 October 11th) as the first item in Research Communication Day, where School of Computing professors share their research results with each other. The event involved Professor Sungho Jo, who was in charge of preparations, as well as (in order of presentation, without addressing each with their proper title) professors In-Young Ko, Juho Kim, Byunghoon Kang, Eunho Yang, Min H. Kim, and Alice Oh. The professors’ presentations involved short introductions of their lab, summaries of ongoing research, and exciting future research topics they hope to get in to. There will be two more events, held each week on Tuesday....Read more
Prof. Sung-Ju Lee Wins the WiNTECH Test of Time Aw..
On the 3rd of October, our very own School of Computing Professor Sung-Ju Lee won the 10th WiNTECH (ACM International Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization) Test of Time Award in the workshop held in New York City, USA. WiNTECH, a wireless networking workshop started in 2007, has gained recognition for its focus on spotlighting practical research results via experimentation and verification. To celebrate the 10th anniversary of the workshop, the workshop’s first Test of Time Award was given. Test of Time Awards are given to papers that are still important in academia and industry many years since its original publication. Prof. Sung-Ju Lee’s paper “An Experimental Study on the Capture Effect in 802.11a Networks” received the Test of Time Award in a unanimous vote by the judges. The 2007 paper was a collaboration between Prof. Sung-Ju Lee and a Seoul National University research team. The research team showed via experiment that, despite the then common knowledge that signals affected by interference become unusable, the signals can be received depending on variables such as transmission power, transmission time, and transmission rate. The paper affected later wireless experiments and modeling research, and has been referenced more than 200 times. Prof. Lee commented that the award means a lot since it shows the paper is still impactful despite being almost 10 years since its original publication....Read more
ACM Student Chapter Started
The first ACM Student Chapter in Korea has been started by School of Computing students Juho Sun, Chae Hwan Song, Dongkwan Kim, and Jun Hui Park. Main activities include: ▲ publishing mentoring newsletter, and ▲ high school SW programming education. The chapter currently has 17 student members from the School of Computing and the School of Electrical Engineering, as well as professors Sukyoung Ryu, Sung-Ju Lee, Shin Yoo, and Professor Dongsu Han from the School of Electrical Engineering. The mentoring newsletter will be published quarterly, and contain interviews with professors willing to mentor students. The first newsletter will feature Professor Sukyoung Ryu, and will be published on the Chapter’s Facebook page on the 15th of October. https://www.facebook.com/kaistacmsc/...Read more
Ph.D Students Woosang Lim and Chungkuk Yoo Awarded..
The Google Ph.D Fellowship Program was started in 2009 to find exceptional graduate students in computer science and related fields. Awardees are given ＄10,000 (approx. 11,000,000 Korean Won) in scholarship, and receive one-to-one mentoring for their research from Google’s experts in various parts of the field. The 8th year or the program, this year’s program saw over 250 applicants, of which 52 were selected, 6 from East Asia (Korea, Japan, and mainland China). Two students from KAIST’s School of Computing: Woosang Lim (supervisor: Prof. Doo-Hwan Bae), and Chungkuk Yoo (supervisor: Prof. Junehwa Song) have been given the honor of becoming the two Korean Fellows of the 2016 Google Ph.D Fellowship Program. Woosang Lim won the scholarship with his research on the efficient and accurate decomposition of large scale matrices, and the machine learning applications made possible thereof. He used the mathematical analysis of PSD (Positive Semi-Definite) matrix decomposition error, a common feature of machine learning, to propose a creative and novel form of data compression. Using this, he introduced an algorithm to perform eigendecomposition of large scale PSD matrices much more accurately and efficiently than existing methods. The paper was published in ICML last year, an international conference renown in the field of machine learning. He is currently working on generalizing the paper’s algorithm as well as working on other applications of the research. Lim has also shown his talent by winning the Korean Mathematical Society’s National College Level Mathematics Competition twice, winning the Machine Learning Summer School (MLSS) Best Presenter Award (Ph.D Student), winning the International Machine Learning Society (IMLS) Scholarship, and publishing papers in various top international conferences. Chungkuk Yoo became a Google Ph.D Fellow for his proposal and implementation of a novel service model using mobile sensors, which was recognized as an achievement in the field of mobile computing. During his Ph.D course, Yoo implemented a method for using smart phone camera to calculate the position of objects in 3 dimensional space. He used this to create a system in which arbitrary objects could be used as UI elements, which users can interact with by pointing to the said object with their finger. This research was a collaboration with IBM Research, and was published in CHI, the top international conference in human computer interaction. He is now working on improving his mobile vision based object position sensing technology to work in densely crowded areas as well, maximizing accurately, and minimizing latency. There are 5 US patents pending related to this work. Furthermore, Yoo was awarded the Best Paper award from CSCW in recognition of his research in the use of smart phones to identify children with language related disabilities via non-verbal cues, and educational / corrective services for use by such children within a family setting. CSCW is the top conference in social computing, and the award is a first for Korean organizations, which highlights the originality of his research. Reference: https://research.googleblog.com/2016/09/announcing-first-annual-global-phd.html?m=1...Read more
Dr. Bochang Moon Appointed Assistant Professor at ..
Dr. Bochang Moon Appointed Assistant Professor at the Gwangju Institute of Science and Technology (GIST) Bochang Moon, Doctorate of the School of Computing (supervisor: Prof. Sungeui Yoon) has been appointed as an assistant professor at the Gwangju Institute of Science and Technology (GIST) as of September, 2016. Dr. Moon worked as a postdoctoral researcher at Disney Research after completing Master’s and Doctorate courses in the Computer Science Department. He has published many high definition graphics papers in SIGGRAPH, the top conference in the field of computer graphics. Dr. Moon’s papers can be found in the website below: http://sglab.kaist.ac.kr/~bcmoon/...Read more
Retirement Ceremony Held for Prof. Kyu-Young Whang
A retirement ceremony was held for Prof. Kyu-Young Whang on the 3rd floor of the campus faculty club on the last 30th of August (Tuesday). The event was held to celebrate Prof. Whang’s honorable retirement, and his devotion to the promotion of and research in the field during his 26 and a half year career. The ceremony was attended by around 60 people, including the Head of School, as well as other professors and professors emeriti of the School of Computing, and external guests. The highly significant occasion included an opening ceremony, time line of achievements, recommendations for his appointment as a professor emeritus, awarding of the plaque of gratitude, a lecture by Prof. Whang, and a commemorative photograph....Read more