ICT
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KAIST Team Develops an Insect-Mimicking Semiconductor to Detect Motion
The recent development of an “intelligent sensor” semiconductor that mimics the optic nerve of insects while operating at ultra-high speeds and low power offers extensive expandability into various innovative technologies. This technology is expected to be applied to various fields including transportation, safety, and security systems, contributing to both industry and society.
On February 19, a KAIST research team led by Professor Kyung Min Kim from the Department of Materials Science and Engineering (DMSE) announced the successful developed an intelligent motion detector by merging various memristor* devices to mimic the visual intelligence** of the optic nerve of insects.
*Memristor: a “memory resistor” whose state of resistance changes depending on the input signal
**Visual intelligence: the ability to interpret visual information and perform calculations within the optic nerve
With the recent advances in AI technology, vision systems are being improved by utilizing AI in various tasks such as image recognition, object detection, and motion analysis. However, existing vision systems typically recognize objects and their behaviour from the received image signals using complex algorithms. This method requires a significant amount of data traffic and higher power consumption, making it difficult to apply in mobile or IoT devices.
Meanwhile, insects are known to be able to effectively process visual information through an optic nerve circuit called the elementary motion detector, allowing them to detect objects and recognize their motion at an advanced level. However, mimicking this pathway using conventional silicon integrated circuit (CMOS) technology requires complex circuits, and its implementation into actual devices has thus been limited.
< Figure 1. Working principle of a biological elementary motion detection system. >
Professor Kyung Min Kim’s research team developed an intelligent motion detecting sensor that operates at a high level of efficiency and ultra-high speeds. The device has a simple structure consisting of only two types of memristors and a resistor developed by the team. The two different memristors each carry out a signal delay function and a signal integration and ignition function, respectively. Through them, the team could directly mimic the optic nerve of insects to analyze object movement.
< Figure 2. (Left) Optical image of the M-EMD device in the left panel (scale bar 200 μm) and SEM image of the device in the right panel (scale bar: 20 μm). (Middle) Responses of the M-EMD in positive direction. (Right) Responses of the M-EMD in negative direction. >
To demonstrate its potential for practical applications, the research team used the newly developed motion detector to design a neuromorphic computing system that can predict the path of a vehicle. The results showed that the device used 92.9% less energy compared to existing technology and predicted motion with more accuracy.
< Figure 3. Neuromorphic computing system configuration based on motion recognition devices >
Professor Kim said, “Insects make use of their very simple visual intelligence systems to detect the motion of objects at a surprising high speed. This research is significant in that we could mimic the functions of a nerve using a memristor device.” He added, “Edge AI devices, such as AI-topped mobile phones, are becoming increasingly important. This research can contribute to the integration of efficient vision systems for motion recognition, so we expect it to be applied to various fields such as autonomous vehicles, vehicle transportation systems, robotics, and machine vision.”
This research, conducted by co-first authors Hanchan Song and Min Gu Lee, both Ph.D. candidates at KAIST DMSE, was published in the online issue of Advanced Materials on January 29.
This research was supported by the Mid-Sized Research Project by the National Research Foundation of Korea, the Next-Generation Intelligent Semiconductor Technology Development Project, the PIM Artificial Intelligence Semiconductor Core Technology Development Project, the National Nano Fab Center, and the Leap Research Project by KAIST.
2024.02.29 View 3975 -
KAIST Civil Engineering Students named Runner-up at the 2023 ULI Hines Student Competition - Asia Pacific
A team of five students from the Korea Advanced Institute of Science and Technology (KAIST) were awarded second place in a premier urban design student competition hosted by the Urban Land Institute and Hines, 2023 ULI Hines Student Competition - Asia Pacific.
The competition, which was held for the first time in the Asia-Pacific region, is an internationally recognized event which typically attract hundreds of applicants.
Jonah Remigio, Sojung Noh, Estefania Rodriguez, Jihyun Kang, and Ayantu Teshome, who joined forces under the name of “Team Hashtag Development”, were supported by faculty advisors Dr. Albert Han and Dr. Youngchul Kim of the Department of Civil and Environmental Engineering to imagine a more sustainable and enriched way of living in the Jurong district of Singapore.
Their submission, titled “Proposal: The Nest”, analyzed the big data within Singapore, using the data to determine which real estate business strategies would best enhance the quality of living and economy of the region.
Their final design, "The Nest" utilized mixed-use zoning to integrate the site’s scenic waterfront with homes, medical innovation, and sustainable technology, altogether creating a place to innovate, inhabit, and immerse.
< The Nest by Team Hashtag Development (Jonah Remigio, Ayantu Teshome Mossisa, Estefania Ayelen Rodriguez del Puerto, Sojung Noh, Jihyun Kang) ©2023 Urban Land Institute >
Ultimately, the team was recognized for their hard work and determination, imprinting South Korea’s indelible footprint in the arena of international scholastic achievement as they were named to be one of the Finalists on April 13th.
< Members of Team Hashtag Development >
Team Hashtag Development gave a virtual presentation to a jury of six ULI members on April 20th along with the "Team The REAL" from the University of Economics Ho Chi Minh City of Vietnam and "Team Omusubi" from the Waseda University of Japan, the team that submitted the proposal "Jurong Urban Health Campus" which was announced to be the winner on the 31st of May, after the virtual briefing by the top three finalists.
2023.06.26 View 4786 -
KAIST leads AI-based analysis on drug-drug interactions involving Paxlovid
KAIST (President Kwang Hyung Lee) announced on the 16th that an advanced AI-based drug interaction prediction technology developed by the Distinguished Professor Sang Yup Lee's research team in the Department of Biochemical Engineering that analyzed the interaction between the PaxlovidTM ingredients that are used as COVID-19 treatment and other prescription drugs was published as a thesis. This paper was published in the online edition of 「Proceedings of the National Academy of Sciences of America」 (PNAS), an internationally renowned academic journal, on the 13th of March.
* Thesis Title: Computational prediction of interactions between Paxlovid and prescription drugs (Authored by Yeji Kim (KAIST, co-first author), Jae Yong Ryu (Duksung Women's University, co-first author), Hyun Uk Kim (KAIST, co-first author), and Sang Yup Lee (KAIST, corresponding author))
In this study, the research team developed DeepDDI2, an advanced version of DeepDDI, an AI-based drug interaction prediction model they developed in 2018. DeepDDI2 is able to compute for and process a total of 113 drug-drug interaction (DDI) types, more than the 86 DDI types covered by the existing DeepDDI.
The research team used DeepDDI2 to predict possible interactions between the ingredients (ritonavir, nirmatrelvir) of Paxlovid*, a COVID-19 treatment, and other prescription drugs. The research team said that while among COVID-19 patients, high-risk patients with chronic diseases such as high blood pressure and diabetes are likely to be taking other drugs, drug-drug interactions and adverse drug reactions for Paxlovid have not been sufficiently analyzed, yet. This study was pursued in light of seeing how continued usage of the drug may lead to serious and unwanted complications.
* Paxlovid: Paxlovid is a COVID-19 treatment developed by Pfizer, an American pharmaceutical company, and received emergency use approval (EUA) from the US Food and Drug Administration (FDA) in December 2021.
The research team used DeepDDI2 to predict how Paxrovid's components, ritonavir and nirmatrelvir, would interact with 2,248 prescription drugs. As a result of the prediction, ritonavir was predicted to interact with 1,403 prescription drugs and nirmatrelvir with 673 drugs.
Using the prediction results, the research team proposed alternative drugs with the same mechanism but low drug interaction potential for prescription drugs with high adverse drug events (ADEs). Accordingly, 124 alternative drugs that could reduce the possible adverse DDI with ritonavir and 239 alternative drugs for nirmatrelvir were identified.
Through this research achievement, it became possible to use an deep learning technology to accurately predict drug-drug interactions (DDIs), and this is expected to play an important role in the digital healthcare, precision medicine and pharmaceutical industries by providing useful information in the process of developing new drugs and making prescriptions.
Distinguished Professor Sang Yup Lee said, "The results of this study are meaningful at times like when we would have to resort to using drugs that are developed in a hurry in the face of an urgent situations like the COVID-19 pandemic, that it is now possible to identify and take necessary actions against adverse drug reactions caused by drug-drug interactions very quickly.”
This research was carried out with the support of the KAIST New-Deal Project for COVID-19 Science and Technology and the Bio·Medical Technology Development Project supported by the Ministry of Science and ICT.
Figure 1. Results of drug interaction prediction between Paxlovid ingredients and representative approved drugs using DeepDDI2
2023.03.16 View 5157 -
KAIST Holds 2023 Commencement Ceremony
< Photo 1. On the 17th, KAIST held the 2023 Commencement Ceremony for a total of 2,870 students, including 691 doctors. >
KAIST held its 2023 commencement ceremony at the Sports Complex of its main campus in Daejeon at 2 p.m. on February 27. It was the first commencement ceremony to invite all its graduates since the start of COVID-19 quarantine measures.
KAIST awarded a total of 2,870 degrees including 691 PhD degrees, 1,464 master’s degrees, and 715 bachelor’s degrees, which adds to the total of 74,999 degrees KAIST has conferred since its foundation in 1971, which includes 15,772 PhD, 38,360 master’s and 20,867 bachelor’s degrees.
This year’s Cum Laude, Gabin Ryu, from the Department of Mechanical Engineering received the Minister of Science and ICT Award. Seung-ju Lee from the School of Computing received the Chairman of the KAIST Board of Trustees Award, while Jantakan Nedsaengtip, an international student from Thailand received the KAIST Presidential Award, and Jaeyong Hwang from the Department of Physics and Junmo Lee from the Department of Industrial and Systems Engineering each received the President of the Alumni Association Award and the Chairman of the KAIST Development Foundation Award, respectively.
Minister Jong-ho Lee of the Ministry of Science and ICT awarded the recipients of the academic awards and delivered a congratulatory speech.
Yujin Cha from the Department of Bio and Brain Engineering, who received a PhD degree after 19 years since his entrance to KAIST as an undergraduate student in 2004 gave a speech on behalf of the graduates to move and inspire the graduates and the guests.
After Cha received a bachelor’s degree from the Department of Nuclear and Quantum Engineering, he entered a medical graduate school and became a radiation oncology specialist. But after experiencing the death of a young patient who suffered from osteosarcoma, he returned to his alma mater to become a scientist. As he believes that science and technology is the ultimate solution to the limitations of modern medicine, he started as a PhD student at the Department of Bio and Brain Engineering in 2018, hoping to find such solutions.
During his course, he identified the characteristics of the decision-making process of doctors during diagnosis, and developed a brain-inspired AI algorithm. It is an original and challenging study that attempted to develop a fundamental machine learning theory from the data he collected from 200 doctors of different specialties.
Cha said, “Humans and AI can cooperate by humans utilizing the unique learning abilities of AI to develop our expertise, while AIs can mimic us humans’ learning abilities to improve.” He added, “My ultimate goal is to develop technology to a level at which humans and machines influence each other and ‘coevolve’, and applying it not only to medicine, but in all areas.”
Cha, who is currently an assistant professor at the KAIST Biomedical Research Center, has also written Artificial Intelligence for Doctors in 2017 to help medical personnel use AI in clinical fields, and the book was selected as one of the 2018 Sejong Books in the academic category.
During his speech at this year’s commencement ceremony, he shared that “there are so many things in the world that are difficult to solve and many things to solve them with, but I believe the things that can really broaden the horizons of the world and find fundamental solutions to the problems at hand are science and technology.”
Meanwhile, singer-songwriter Sae Byul Park who studied at the KAIST Graduate School of Culture Technology will also receive her PhD degree.
Natural language processing (NLP) is a field in AI that teaches a computer to understand and analyze human language that is actively being studied. An example of NLP is ChatGTP, which recently received a lot of attention. For her research, Park analyzed music rather than language using NLP technology.
To analyze music, which is in the form of sound, using the methods for NLP, it is necessary to rebuild notes and beats into a form of words or sentences as in a language. For this, Park designed an algorithm called Mel2Word and applied it to her research.
She also suggested that by converting melodies into texts for analysis, one would be able to quantitatively express music as sentences or words with meaning and context rather than as simple sounds representing a certain note.
Park said, “music has always been considered as a product of subjective emotion, but this research provides a framework that can calculate and analyze music.”
Park’s study can later be developed into a tool to measure the similarities between musical work, as well as a piece’s originality, artistry and popularity, and it can be used as a clue to explore the fundamental principles of how humans respond to music from a cognitive science perspective.
Park began her Ph.D. program in 2014, while carrying on with her musical activities as well as public and university lectures alongside, and dealing with personally major events including marriage and childbirth during the course of years. She already met the requirements to receive her degree in 2019, but delayed her graduation in order to improve the level of completion of her research, and finally graduated with her current achievements after nine years.
Professor Juhan Nam, who supervised Park’s research, said, “Park, who has a bachelor’s degree in psychology, later learned to code for graduate school, and has complete high-quality research in the field of artificial intelligence.” He added, “Though it took a long time, her attitude of not giving up until the end as a researcher is also excellent.”
Sae Byul Park is currently lecturing courses entitled Culture Technology and Music Information Retrieval at the Underwood International College of Yonsei University.
Park said, “the 10 or so years I’ve spent at KAIST as a graduate student was a time I could learn and prosper not only academically but from all angles of life.” She added, “having received a doctorate degree is not the end, but a ‘commencement’. Therefore, I will start to root deeper from the seeds I sowed and work harder as a both a scholar and an artist.”
< Photo 2. From left) Yujin Cha (Valedictorian, Medical-Scientist Program Ph.D. graduate), Saebyeol Park (a singer-songwriter, Ph.D. graduate from the Graduate School of Culture and Technology), Junseok Moon and Inah Seo (the two highlighted CEO graduates from the Department of Management Engineering's master’s program) >
Young entrepreneurs who dream of solving social problems will also be wearing their graduation caps. Two such graduates are Jun-seok Moon and Inah Seo, receiving their master’s degrees in social entrepreneurship MBA from the KAIST College of Business.
Before entrance, Moon ran a café helping African refugees stand on their own feet. Then, he entered KAIST to later expand his business and learn social entrepreneurship in order to sustainably help refugees in the blind spots of human rights and welfare.
During his master’s course, Moon realized that he could achieve active carbon reduction by changing the coffee alone, and switched his business field and founded Equal Table. The amount of carbon an individual can reduce by refraining from using a single paper cup is 10g, while changing the coffee itself can reduce it by 300g.
1kg of coffee emits 15kg of carbon over the course of its production, distribution, processing, and consumption, but Moon produces nearly carbon-neutral coffee beans by having innovated the entire process. In particular, the company-to-company ESG business solution is Moon’s new start-up area. It provides companies with carbon-reduced coffee made by roasting raw beans from carbon-neutral certified farms with 100% renewable energy, and shows how much carbon has been reduced in its making. Equal Table will launch the service this month in collaboration with SK Telecom, its first partner.
Inah Seo, who also graduated with Moon, founded Conscious Wear to start a fashion business reducing environmental pollution. In order to realize her mission, she felt the need to gain the appropriate expertise in management, and enrolled for the social entrepreneurship MBA.
Out of the various fashion industries, Seo focused on the leather market, which is worth 80 trillion won. Due to thickness or contamination issues, only about 60% of animal skin fabric is used, and the rest is discarded. Heavy metals are used during such processes, which also directly affects the environment.
During the social entrepreneurship MBA course, Seo collaborated with SK Chemicals, which had links through the program, and launched eco-friendly leather bags. The bags used discarded leather that was recycled by grinding and reprocessing into a biomaterial called PO3G. It was the first case in which PO3G that is over 90% biodegradable was applied to regenerated leather. In other words, it can reduce environmental pollution in the processing and disposal stages, while also reducing carbon emissions and water usage by one-tenth compared to existing cowhide products.
The social entrepreneurship MBA course, from which Moon and Seo graduated, will run in integration with the Graduate School of Green Growth as an Impact MBA program starting this year. KAIST plans to steadily foster entrepreneurs who will lead meaningful changes in the environment and society as well as economic values through innovative technologies and ideas.
< Photo 3. NYU President Emeritus John Sexton (left), who received this year's honorary doctorate of science, poses with President Kwang Hyung Lee >
Meanwhile, during this day’s commencement ceremony, KAIST also presented President Emeritus John Sexton of New York University with an honorary doctorate in science. He was recognized for laying the foundation for the cooperation between KAIST and New York University, such as promoting joint campuses.
< Photo 4. At the commencement ceremony of KAIST held on the 17th, President Kwang Hyung Lee is encouraging the graduates with his commencement address. >
President Kwang Hyung Lee emphasized in his commencement speech that, “if you can draw up the future and work hard toward your goal, the future can become a work of art that you create with your own hands,” and added, “Never stop on the journey toward your dreams, and do not give up even when you are met with failure. Failure happens to everyone, all the time. The important thing is to know 'why you failed', and to use those elements of failure as the driving force for the next try.”
2023.02.20 View 12917 -
Scientists re-writes FDA-recommended equation to improve estimation of drug-drug interaction
Drugs absorbed into the body are metabolized and thus removed by enzymes from several organs like the liver. How fast a drug is cleared out of the system can be affected by other drugs that are taken together because added substance can increase the amount of enzyme secretion in the body. This dramatically decreases the concentration of a drug, reducing its efficacy, often leading to the failure of having any effect at all. Therefore, accurately predicting the clearance rate in the presence of drug-drug interaction* is critical in the process of drug prescription and development of a new drug in order to ensure its efficacy and/or to avoid unwanted side-effects.
*Drug-drug interaction: In terms of metabolism, drug-drug interaction is a phenomenon in which one drug changes the metabolism of another drug to promote or inhibit its excretion from the body when two or more drugs are taken together. As a result, it increases the toxicity of medicines or causes loss of efficacy.
Since it is practically impossible to evaluate all interactions between new drug candidates and all marketed drugs during the development process, the FDA recommends indirect evaluation of drug interactions using a formula suggested in their guidance, first published in 1997, revised in January of 2020, in order to evaluate drug interactions and minimize side effects of having to use more than one type of drugs at once.
The formula relies on the 110-year-old Michaelis-Menten (MM) model, which has a fundamental limit of making a very broad and groundless assumption on the part of the presence of the enzymes that metabolizes the drug. While MM equation has been one of the most widely known equations in biochemistry used in more than 220,000 published papers, the MM equation is accurate only when the concentration of the enzyme that metabolizes the drug is almost non-existent, causing the accuracy of the equation highly unsatisfactory – only 38 percent of the predictions had less than two-fold errors.
“To make up for the gap, researcher resorted to plugging in scientifically unjustified constants into the equation,” Professor Jung-woo Chae of Chungnam National University College of Pharmacy said. “This is comparable to having to have the epicyclic orbits introduced to explain the motion of the planets back in the days in order to explain the now-defunct Ptolemaic theory, because it was 'THE' theory back then.”
< (From left) Ph.D. student Yun Min Song (KAIST, co-first authors), Professor Sang Kyum Kim (Chungnam National University, co-corresponding author), Jae Kyoung Kim, CI (KAIST, co-corresponding author), Professor Jung-woo Chae (Chungnam National University, co-corresponding author), Ph.D. students Quyen Thi Tran and Ngoc-Anh Thi Vu (Chungnam National University, co-first authors) >
A joint research team composed of mathematicians from the Biomedical Mathematics Group within the Institute for Basic Science (IBS) and the Korea Advanced Institute of Science and Technology (KAIST) and pharmacological scientists from the Chungnam National University reported that they identified the major causes of the FDA-recommended equation’s inaccuracies and presented a solution.
When estimating the gut bioavailability (Fg), which is the key parameter of the equation, the fraction absorbed from the gut lumen (Fa) is usually assumed to be 1. However, many experiments have shown that Fa is less than 1, obviously since it can’t be expected that all of the orally taken drugs to be completely absorbed by the intestines. To solve this problem, the research team used an “estimated Fa” value based on factors such as the drug’s transit time, intestine radius, and permeability values and used it to re-calculate Fg.
Also, taking a different approach from the MM equation, the team used an alternative model they derived in a previous study back in 2020, which can more accurately predict the drug metabolism rate regardless of the enzyme concentration. Combining these changes, the modified equation with re-calculated Fg had a dramatically increased accuracy of the resulting estimate. The existing FDA formula predicted drug interactions within a 2-fold margin of error at the rate of 38%, whereas the accuracy rate of the revised formula reached 80%.
“Such drastic improvement in drug-drug interaction prediction accuracy is expected to make great contribution to increasing the success rate of new drug development and drug efficacy in clinical trials. As the results of this study were published in one of the top clinical pharmacology journal, it is expected that the FDA guidance will be revised according to the results of this study.” said Professor Sang Kyum Kim from Chungnam National University College of Pharmacy.
Furthermore, this study highlights the importance of collaborative research between research groups in vastly different disciplines, in a field that is as dynamic as drug interactions.
“Thanks to the collaborative research between mathematics and pharmacy, we were able to recify the formula that we have accepted to be the right answer for so long to finally grasp on the leads toward healthier life for mankind.,” said Professor Jae Kyung Kim. He continued, “I hope seeing a ‘K-formula’ entered into the US FDA guidance one day.”
The results of this study were published in the online edition of Clinical Pharmacology and Therapeutics (IF 7.051), an authoritative journal in the field of clinical pharmacology, on December 15, 2022 (Korean time).
Thesis Title: Beyond the Michaelis-Menten: Accurate Prediction of Drug Interactions through Cytochrome P450 3A4 Induction (doi: 10.1002/cpt.2824)
< Figure 1. The formula proposed by the FDA guidance for predicting drug-drug interactions (top) and the formula newly derived by the researchers (bottom). AUCR (the ratio of substrate area under the plasma concentration-time curve) represents the rate of change in drug concentration due to drug interactions. The research team more than doubled the accuracy of drug interaction prediction compared to the existing formula. >
< Figure 2. Existing FDA formulas tend to underestimate the extent of drug-drug interactions (gray dots) than the actual measured values. On the other hand, the newly derived equation (red dot) has a prediction rate that is within the error range of 2 times (0.5 to 2 times) of the measured value, and is more than twice as high as the existing equation. The solid line in the figure represents the predicted value that matches the measured value. The dotted line represents the predicted value with an error of 0.5 to 2 times. >
For further information or to request media assistance, please contact Jae Kyoung Kim at Biomedical Mathematics Group, Institute for Basic Science (IBS) (jaekkim@ibs.re.kr) or William I. Suh at the IBS Communications Team (willisuh@ibs.re.kr).
- About the Institute for Basic Science (IBS)
IBS was founded in 2011 by the government of the Republic of Korea with the sole purpose of driving forward the development of basic science in South Korea. IBS has 4 research institutes and 33 research centers as of January 2023. There are eleven physics, three mathematics, five chemistry, nine life science, two earth science, and three interdisciplinary research centers.
2023.01.18 View 9742 -
NYC-KAIST Cooperation Agreement Signed in New York for KAIST NYU Joint Campus
A ceremony was held to celebrate the signing of the Cooperative Agreement between NYC and KAIST and the presentation of the signage for KAIST NYU Joint Campus at NYU’s Kimmel Center in Manhattan.
KAIST President Kwang Hyung Lee (left) and NYU President Andrew Hamilton (right)
KAIST (President Kwang Hyung Lee) signed a cooperative agreement with the City of New York and had an official showing of the signage for the Joint Campus of KAIST and New York University (NYU) on September 21 at 4:00 pm (Eastern Standard Time) at NYU’s Kimmel Center in New York City with the NYC Mayor Eric Adams, the Korean Minister of Science and ICT Dr. Lee Jong-ho, NYU Chairman William Berkley, NYU President Andrew Hamilton, and other distinguished guests in attendance.
KAIST and NYU signed a Memorandum of Understanding in June about building a joint campus in an effort to educate global talent. As a follow-up measure, NYU has provided KAIST with space to begin joint research programs and held a ceremony to present the signage designed for the future KAIST NYU Campus. In line with these efforts, KAIST has also signed an agreement with New York City, the administrative authority in charge of the establishment of the campus, for mutual cooperation.
NYU is a prestigious university headquartered in Manhattan, New York. It has nurtured outstanding talents in the humanities, art, and basic sciences, including 38 Nobel Prize winners, 5 Fields Prize winners, 26 Pulitzer Prize winners, and 38 Academy Award winners to be deserving of the evaluation.
The proposed joint campus is to be centered on science, technology, engineering, and mathematics (STEM) by combining NYU's excellent basic sciences and convergence research capabilities with KAIST's globally renowned science and technology capabilities. The joint initiative is expected to launch in 2023; its programs will focus on areas such as AI Basic Science, AI Convergence Brain Science, AI-Applied Cyber Security, Cyber Security, and Sustainable High-Tech Smart City/Climate Change in order to lead the Digital Era and to solve the problems that surfaced following the COVID-19 pandemic. In addition, in order to prepare for the Post-AI Era, it was decided to create the “New Engineering” program for undergraduate program that employs a hyper-convergence learning model that combines project-based, problem-solving learning (PBL, PSL) pedagogy.
▲ Biomedical Engineering- Research and development of technology to respond to the entire cycle (prevention-treatment-diagnosis-prediction) for a new infectious disease (Disease X) by converging new technologies such as IT and NT with biomedical technologies
▲ AI Convergence Neuroscience- Research on brain-machine interaction and brain-based machine learning through AI technology convergence
▲ AI Science- Algorithm development and in-depth research in preparation for the post AI era
▲ Sustainability and Climate Change- R&DB for advanced smart cities, sustainability for the global environment and carbon zero
▲ Next-generation Wireless Communications- From ICT to AIT: Research on 6G/7G related technologies, new communications theories, and etc.
▲ Cyber Security- Advanced research on protection of digital information and information safety/reliability
KAIST President Kwang Hyung Lee (left) and NYC Mayor Eric Adams (right)
The KAIST NYU Joint Campus has started enlisting professors and researchers from both institutions to participate in the collaboration. The campus will also function as the headquarter that will oversee the operation of the joint research program. At Daejeon, KAIST is also setting up a location for NYU on its main campus to provide space for NYU researchers upon their visit to KAIST.
The KAIST NYU Joint Campus, which has begun to take basic shape with the space for collaboration rendered this time, is to be upgraded to “KAIST New York Campus” in the future to function also as an industry-academic cooperation campus in which that promotes strategic cooperation with industries and expands start-up opportunities. To this end, the related procedures from the detailing of the establishment plans through a preliminary feasibility studies, to deliberation and decision on whether to proceed with the establishment by the KAIST Board of Trustees, will be taken.
The KAIST NYU Campus is expected to serve as a stepping stone for the outstanding talents of KAIST to pursue their dreams in the global market and research environment while seizing the attention of the world-class talents drawn to New York at the same time. In addition, by combining NYU's strong basic academic capabilities with KAIST’s strengths, it is expected to contribute to achieving 'global innovation' by creating synergies in various fields such as education, research, and entrepreneurship. The future KAIST-NYU Campus is also expected to encompass an industry-academic cooperation campus with industrial partners and startups.
Meanwhile, KAIST is planning to expand its excellent scientific and technological capabilities to the global stage through the cooperative agreement with New York City, and to prepare a pathway for KAIST students, faculty, and startups to enter their respective fields in the global markets. In the future, KAIST plans to explore areas of cooperation in different fields, such as education, economy, society, and culture, to prepare and implement detailed cooperation plans.
< KAIST-New York City Cooperation Items (Example) >
▲ Education: Joint degree program with a university in New York City, training of key talents in the field of artificial intelligence, etc.
▲ Economy: A hub for technology startups, job creation in the tech sector, etc.
▲ Society: Economics, finance, media-related engineering research, etc.
▲ Culture: Diversity-based culture and art-tech research, etc.▲ Etc: Joint research in the field of artificial intelligence healthcare, etc.
As a global mecca for startups, education, and investment, New York has a well-developed global network for cultural diversity and successful career development, and has great power to attract various resources including funds and talented individuals. Based on this, it has established itself as a mecca of global tech companies and global top media groups, and is building the reputation as 'Silicon Alley' in addition to its legends of the ‘Wall Street'.
Dr. Andrew Hamilton, the president of NYU, said, “We’re delighted by our newly established partnership with KAIST. We see great potential in the opportunities to collaborate on development of courses, research, cutting edge technologies, university-level courses, degrees, entrepreneurship initiatives and industrial partnerships, and exchanges. We believe this partnership is very much in line with NYU’s commitment to global engagement and will make important contributions to New York’s tech sector. It’s exciting to think how much NYU and KAIST have much to learn from one another, and how much we may accomplish together.”
New York City Mayor Eric Adams said, “We’re proud to have helped facilitate this partnership between KAIST and New York University, which will be a real win for students and help drive continued innovation in our city.” He added, “From the time that senior members of our administration learned about this opportunity during a recent trip to South Korea, we have worked closely with KAIST to develop strategies for increasing their presence and investments in New York. This is the start of a relationship that I am confident will bring even more academic, business, and technological opportunities to the five boroughs.”
Dr. Kwang Hyung Lee, the president of KAIST, urged, “Based on the KAIST-NYU partnership, we must create an interdisciplinary hyper-convergence model of collaboration and use cutting-edge tools to create an innovative model for new type of problem-solving engineering education to prepare to solve the challenges facing the world.” He went on to stress, “The new fusion engineering degree program will leverage the unique strengths of the two institutions to provide a uniquely colored education not found anywhere else.” In addition, he added, “KAIST will utilize the advantages that are unique to the global city of New York to contribute to advancing the science and technology research in New York City and creating jobs in the tech sector to lead the renaissance of Silicon Alley.”
2022.09.27 View 10457 -
Commencement Ceremony Honors the Class of 2022
Third online commencement ceremony since the pandemic outbreak celebrates 2741 graduates
The 2022 commencement ceremony convened online on February 18 to celebrate and award degrees to the Class of 2022. The graduating class of 2022 included 663 PhDs, 1,383 Masters, and 695 Bachelors. The limited number of attendees included 86 graduate representatives and approximately 20 faculty members in senior leadership, as well as Korea’s Minister of Science and ICT Hyesook Lim. The ceremony was livestreamed on KAIST’s YouTube channel.
Valedictorian Ji-Young Lee from the Department of Physics received the Minister of Science and ICT’s Award. Yu-Jin Bang from the School of Business and Technology Management was the Awardee of the Chairman of the KAIST Board of Trustees and the KAIST Presidential Awardee was Jong-Hwan Lee from the Department of Mathematical Sciences.
KAIST conferred honorary doctorates to Honorary Chairman Jae-Chul Kim of Dongwon Group and Chairman Sung-Hwan Chang of Samsung Brush. Chairman Kim, whose donation funded the establishment of the Kim Jae-Chul Graduate School of AI, was awarded an honorary doctorate of science technology. Chairman Chang was awarded an honorary doctorate of business administration in recognition of his funding in the fields of medical science and engineering at KAIST.
This year’s undergraduate commencement speaker was Hye-Lin Park from the School of Computing. She has severe cerebral palsy and was the first student admitted to KAIST with a severe physical handicap.
“I loved mathematics and wanted to become a mathematician. When I learned programming in my second year, I was so mesmerized by it that I transferred to the School of Computing,” said Park, who plans to continue studying programming languages in graduate school at KAIST.
“I spent my entire life of 24 years in this beautiful wheelchair. Without the support and help of my parents, friends, and my special teachers who helped me move and study at the campus, I would not have made it this far,” said Park. For easier access to classrooms and facilities, KAIST started to remodel its facilities to make the entrance of buildings more wheelchair-friendly. Park made many suggestions to the Office of Student Life and the Facilities Management Office on how to ease mobility for handicapped people on campus. The physical education course that was required for graduation was also revised to stipulate exceptions.
Minister Lim stressed the role of young scientists and researchers in these times of digital transformation dominated by AI and the metaverse. She encouraged the graduates to carry out their dreams with warm hearts and challenging spirits.
KAIST President Kwang Hyung Lee also stressed the power of dreams, calling for graduates to dream big even in times of uncertainty.
“Humanity stands at an inflection point in history. The fourth industrial revolution and outbreak of Covid-19 have unfolded the grand global transformation. Although the future gives us new opportunities, it also comes with anxiety regarding the uncertainties ahead.”
“Dreams make your heart race and push us to live life to the fullest. Dreams will help you keep moving forward even in the face of adversity,” he said.
2022.02.18 View 7317 -
Digital Big Bang, Metaverse Technologies
The GSI Forum 2021 will explore the potential of new metaverse technologies that will change our daily lives
KAIST will be hosting a live online international forum on Sept.8 at 9 am (KST) through its KAIST YouTube channel. The forum will explore global trends regarding metaverse technology innovations and applications and discuss how we can build a new technology ecosystem.
Titled `Digital Big Bang, Metaverse Technology,' the Global Strategy Institute-International Forum 2021 will be the fourth event of its kind, following the three international forums held in 2020. The forum will delve into the development trends of metaverse platforms and AR/VR technologies and gather experts to discuss how such technologies could transform multiple aspects of our future, including education.
President Kwang Hyung Lee explains in his opening remarks that new technologies are truly opening a new horizon for our lives, saying, “In the education sector, digital technology will also create new opportunities to resolve the longstanding pedagogical shortfalls of one-way knowledge delivery systems. New digital technologies will help to unlock the creativity of our students. Education tailored to the students’ individual levels will not only help them accumulate knowledge but improve their ability to use it. Universities around the world are now at the same starting line. We should carve out our own distinct metaverse that is viable for human interactions and diverse technological experiences that promote students’ creativity and collaborative minds.”
Minster of Science and ICT Hyesook Lim will introduce how the Korean government is working to develop metaverse industries as a new potential engine of growth for the future in her welcoming remarks. The government’s efforts include collaborations with the private sector, investments in R&D, the development of talent, and regulatory reforms. Minister Lim will also emphasize the importance of national-level discussions regarding the establishment of a metaverse ecosystem and long-term value creation.
The organizers have invited global experts to share their knowledge and insights.
Kidong Bae, who is in charge of the KT Enterprise Project and ‘Metaverse One Team’ will talk about the current trends in the metaverse market and their implications, as well as KT’s XR technology references. He will also introduce strategies to establish and utilize a metaverse ecosystem, and highlight their new technologies as a global leader in 5G networks.
Jinha Lee, co-founder and CPO of the American AR solution company Spatial, will showcase a remote collaboration office that utilizes AR technology as a potential solution for collaborative activities in the post-COVID-19 era, where remote working is the ‘new normal.’ Furthermore, Lee will discuss how future workplaces that are not limited by space or distance will affect our values and creativity.
Professor Frank Steinicke from the University of Hamburg will present the ideal form of next-generation immersive technology that combines intelligent virtual agents, mixed reality, and IoT, and discuss his predictions for how the future of metaverse technology will be affected.
Marco Tempest, a creative technologist at NASA and a Director’s Fellow at the MIT Media Lab, will also be joining the forum as a plenary speaker. Tempest will discuss the potential of immersive technology in media, marketing, and entertainment, and will propose a future direction for immersive technology to enable the sharing of experiences, emotions, and knowledge.
Other speakers include Beomjoo Kim from Unity Technologies Korea, Professor Woontaek Woo from the Graduate School of Culture Technology at KAIST, Vice President of Global Sales at Labster Joseph Ferraro, and CEO of 3DBear Jussi Kajala. They will make presentations on metaverse technology applications for future education.
The keynote session will also have an online panel consisting of 50 domestic and overseas metaverse specialists, scientists, and teachers. The forum will hold a Q&A and discussion session where the panel members can ask questions to the keynote speakers regarding the prospects of metaverse and immersive technologies for education.
GSI Director Hoon Sohn stated, "KAIST will seize new opportunities that will arise in a future centered around metaverse technology and will be at the forefront to take advantage of the growing demand for innovative science and technology in non-contact societies. KAIST will also play a pivotal role in facilitating global cooperation, which will be vital to establish a metaverse ecosystem.”
2021.09.07 View 7476 -
What Guides Habitual Seeking Behavior Explained
A new role of the ventral striatum explains habitual seeking behavior
Researchers have been investigating how the brain controls habitual seeking behaviors such as addiction. A recent study by Professor Sue-Hyun Lee from the Department of Bio and Brain Engineering revealed that a long-term value memory maintained in the ventral striatum in the brain is a neural basis of our habitual seeking behavior. This research was conducted in collaboration with the research team lead by Professor Hyoung F. Kim from Seoul National University. Given that addictive behavior is deemed a habitual one, this research provides new insights for developing therapeutic interventions for addiction.
Habitual seeking behavior involves strong stimulus responses, mostly rapid and automatic ones. The ventral striatum in the brain has been thought to be important for value learning and addictive behaviors. However, it was unclear if the ventral striatum processes and retains long-term memories that guide habitual seeking.
Professor Lee’s team reported a new role of the human ventral striatum where long-term memory of high-valued objects are retained as a single representation and may be used to evaluate visual stimuli automatically to guide habitual behavior.
“Our findings propose a role of the ventral striatum as a director that guides habitual behavior with the script of value information written in the past,” said Professor Lee.
The research team investigated whether learned values were retained in the ventral striatum while the subjects passively viewed previously learned objects in the absence of any immediate outcome. Neural responses in the ventral striatum during the incidental perception of learned objects were examined using fMRI and single-unit recording.
The study found significant value discrimination responses in the ventral striatum after learning and a retention period of several days. Moreover, the similarity of neural representations for good objects increased after learning, an outcome positively correlated with the habitual seeking response for good objects.
“These findings suggest that the ventral striatum plays a role in automatic evaluations of objects based on the neural representation of positive values retained since learning, to guide habitual seeking behaviors,” explained Professor Lee.
“We will fully investigate the function of different parts of the entire basal ganglia including the ventral striatum. We also expect that this understanding may lead to the development of better treatment for mental illnesses related to habitual behaviors or addiction problems.”
This study, supported by the National Research Foundation of Korea, was reported at Nature Communications (https://doi.org/10.1038/s41467-021-22335-5.)
-ProfileProfessor Sue-Hyun LeeDepartment of Bio and Brain EngineeringMemory and Cognition Laboratoryhttp://memory.kaist.ac.kr/lecture
KAIST
2021.06.03 View 8100 -
Professor Byungha Shin Named Scientist of the Month
Professor Byungha Shin from the Department of Materials Science and Engineering won the Scientist of the Month Award presented by the Ministry of Science and ICT (MSIT) and the National Research Foundation of Korea (NRF) on May 4. Professor Shin was recognized for his research in the field of next-generation perovskite solar cells and received 10 million won in prize money.
To achieve ‘carbon neutrality,’ which many countries across the globe including Korea hope to realize, the efficiency of converting renewable energies to electricity must be improved. Solar cells convert solar energy to electricity. Since single solar cells show lower efficiency, the development of ‘tandem solar cells’ that connect two or more cells together has been popular in recent years.
However, although ‘perovskite’ received attention as a next-generation material for tandem solar cells, it is sensitive to the external environment including light and moisture, making it difficult to maintain stability.
Professor Shin discovered that, theoretically, adding certain anion additives to perovskite solar cells would allow the control of the electrical and structural properties of the two-dimensional stabilization layer that forms inside the film. He confirmed this through high-resolution transmission electron microscopy. Controlling the amount of anions in the additives allowed the preservation of over 80% of the initial stability even after 1000 hours of continuous exposure to sunlight.
Based on this discovery, Professor Shin combined silicon with solar cells to create a tandem solar cell with 26.7% energy convergence efficiency. Considering that the highest-efficiency tandem solar cell in existence showed 29.5% efficiency, this figure is quite high. Professor Shin’s perovskite solar cell is also combinable with the CIGS (Cu(In,Ga)Se2) thin-film solar cell composed of copper (Cu), indium (In), gallium (Ga), and selenium (Se2).
Professor Shin’s research results were published in the online edition of the journal Science in April of last year.
“This research is meaningful for having suggested a direction for solar cell material stabilization using additives,” said Professor Shin. “I look forward to this technique being applied to a wide range of photoelectrical devices including solar cells, LEDs, and photodetectors,” he added.
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2021.05.07 View 7980 -
ACS Nano Special Edition Highlights Innovations at KAIST
- The collective intelligence and technological innovation of KAIST was highlighted with case studies including the Post-COVID-19 New Deal R&D Initiative Project. -
KAIST’s innovative academic achievements and R&D efforts for addressing the world’s greatest challenges such as the COVID-19 pandemic were featured in ACS Nano as part of its special virtual issue commemorating the 50th anniversary of KAIST. The issue consisted of 14 review articles contributed by KAIST faculty from five departments, including two from Professor Il-Doo Kim from the Department of Materials Science and Engineering, who serves as an associate editor of the ACS Nano.
ACS Nano, the leading international journal in nanoscience and nanotechnology, published a special virtual issue last month, titled ‘Celebrating 50 Years of KAIST: Collective Intelligence and Innovation for Confronting Contemporary Issues.’
This special virtual issue introduced KAIST’s vision of becoming a ‘global value-creative leading university’ and its progress toward this vision over the last 50 years. The issue explained how KAIST has served as the main hub for advanced scientific research and technological innovation in South Korea since its establishment in 1971, and how its faculty and over 69,000 graduates played a key role in propelling the nation’s rapid industrialization and economic development.
The issue also emphasized the need for KAIST to enhance global cooperation and the exchange of ideas in the years to come, especially during the post-COVID era intertwined with the Fourth Industrial Revolution (4IR). In this regard, the issue cited the first ‘KAIST Emerging Materials e-Symposium (EMS)’, which was held online for five days in September of last year with a global audience of over 10,000 participating live via Zoom and YouTube, as a successful example of what academic collaboration could look like in the post-COVID and 4IR eras.
In addition, the “Science & Technology New Deal Project for COVID-19 Response,” a project conducted by KAIST with support from the Ministry of Science and ICT (MSIT) of South Korea, was also introduced as another excellent case of KAIST’s collective intelligence and technological innovation. The issue highlighted some key achievements from this project for overcoming the pandemic-driven crisis, such as: reusable anti-virus filters, negative-pressure ambulances for integrated patient transport and hospitalization, and movable and expandable negative-pressure ward modules.
“We hold our expectations high for the outstanding achievements and progress KAIST will have made by its centennial,” said Professor Kim on the background of curating the 14 review articles contributed by KAIST faculty from the fields of Materials Science and Engineering (MSE), Chemical and Biomolecular Engineering (CBE), Nuclear and Quantum Engineering (NQE), Electrical Engineering (EE), and Chemistry (Chem).
Review articles discussing emerging materials and their properties covered photonic carbon dots (Professor Chan Beum Park, MSE), single-atom and ensemble catalysts (Professor Hyunjoo Lee, CBE), and metal/metal oxide electrocatalysts (Professor Sung-Yoon Chung, MSE).
Review articles discussing materials processing covered 2D layered materials synthesis based on interlayer engineering (Professor Kibum Kang, MSE), eco-friendly methods for solar cell production (Professor Bumjoon J. Kim, CBE), an ex-solution process for the synthesis of highly stable catalysts (Professor WooChul Jung, MSE), and 3D light-patterning synthesis of ordered nanostructures (Professor Seokwoo Jeon, MSE, and Professor Dongchan Jang, NQE).
Review articles discussing advanced analysis techniques covered operando materials analyses (Professor Jeong Yeong Park, Chem), graphene liquid cell transmission electron microscopy (Professor Jong Min Yuk, MSE), and multiscale modeling and visualization of materials systems (Professor Seungbum Hong, MSE).
Review articles discussing practical state-of-the-art devices covered chemiresistive hydrogen sensors (Professor Il-Doo Kim, MSE), patient-friendly diagnostics and implantable treatment devices (Professor Steve Park, MSE), triboelectric nanogenerators (Professor Yang-Kyu Choi, EE), and next-generation lithium-air batteries (Professor Hye Ryung Byon, Chem, and Professor Il-Doo Kim, MSE).
In addition to Professor Il-Doo Kim, post-doctoral researcher Dr. Jaewan Ahn from the KAIST Applied Science Research Institute, Dean of the College of Engineering at KAIST Professor Choongsik Bae, and ACS Nano Editor-in-Chief Professor Paul S. Weiss from the University of California, Los Angeles also contributed to the publication of this ACS Nano special virtual issue.
The issue can be viewed and downloaded from the ACS Nano website at https://doi.org/10.1021/acsnano.1c01101.
Image credit: KAIST
Image usage restrictions: News organizations may use or redistribute this image,with proper attribution, as part of news coverage of this paper only.
Publication:
Ahn, J., et al. (2021) Celebrating 50 Years of KAIST: Collective Intelligence and Innovation for Confronting Contemporary Issues. ACS Nano 15(3): 1895-1907. Available online at https://doi.org/10.1021/acsnano.1c01101
Profile:
Il-Doo Kim, Ph.D
Chair Professor
idkim@kaist.ac.kr
http://advnano.kaist.ac.kr
Advanced Nanomaterials and Energy Lab.
Department of Materials Science and Engineering
Membrane Innovation Center for Anti-Virus and Air-Quality Control
https://kaist.ac.kr/
Korea Advanced Institute of Science and Technology (KAIST) Daejeon, Republic of Korea
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2021.03.05 View 25200 -
Professor Bumjoon Kim Named Scientist of the Month
Professor Bumjoon Kim from the Department of Chemical and Biomolecular Engineering won January’s Scientist of the Month Award presented by the Ministry of Science and ICT (MSIT) and the National Research Foundation of Korea (NRF) on January 6. Professor Kim also received 10 million won in prize money.
Professor Kim was recognized for his research in the field of fuel cells. Since the first paper on fuel cells was published in 1839 by the German chemist Friedrich Schonbein, there has been an increase in the number of fields in which fuel cells are used, including national defense, aerospace engineering, and autonomous vehicles.
Professor Kim developed carbonized block copolymer particles with high durability and a high-performance fuel cell. Block copolymers are two different polymers cross-linked into a chain structure. Various nanostructures can be made effectively by using the attractive and repulsive forces between the chains.
Professor Kim used the membrane emulsification technique, employing a high-performance separation membrane to develop a platform that makes the mass production of highly durable carbonized particles possible, which he then used to develop high-performance energy devices like fuel cells.
The carbonized particles designed by Professor Kim and his research team were used to create the world’s more durable fuel cells that boast outstanding performance while using only five percent of the costly platinum needed for existing commercialized products.
The team’s research results were published in the Journal of the American Chemical Society and Energy Environmental Science in May and July of last year.
“We have developed a fuel cell that ticks all the boxes including performance, durability, and cost,” said Professor Kim. “Related techniques will not be limited to fuel cells, but could also be applied to the development of various energy devices like solar cells and secondary cells,” he added.
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2021.01.22 View 9705