New Faculty: Professor Donghan Kim
As of August 1, 2024, Professor Donghan Kim joined us as a new faculty member. Received a doctoral degree in 2020 from Columbia University, Professor Kim worked at University of Michigan(Assistant Research Professor, 2021-2024). He specializes in Mathematical Finance and Stochastic Anal...
Prof. Jae-Kyung Kim receives a citation from the Minister of Science and Technology and ICT
Prof. Jae-Kyung Kim of Woori Department has been awarded the 'Ministerial Citation' by the Ministry of Science and ICT. In 2017, Prof. Kim received a research grant from the Human Frontier Science Program (HFSP), an international organization known as the Nobel Prize Fund, to conduct resea...
New Faculty: Professor Jiewon Park
Received a Ph.D. degree from MIT in 2020, Dr. Jiewon Park joins the Department of Mathematical Sciences on August 1, 2023 as an assistant professor. Prior to KAIST, Dr. Park worked as Gibbs Assistant Professor at Yale University from July 2021 to June 2023. She specializes in Differenti...
New Faculty: Professor Youngjoon Hong
As of August 1, 2023, Professor Youngjoon Hong was appointed as an Associate Professor. Professor Hong received his Ph.D. from Indiana University in 2015. He served as Assistant Professor at Sungkyunkwan University (2021-2023). He majored in Scientific Computing and Machine Learning.
New Faculty: Professor Woojin Kim
As of July 1, 2023, Professor Woojin Kim joined us as a new faculty member. Received a doctoral degree in 2020 from Ohio State University, Professor Kim worked at Duke University(William W.Elliott Assistant Research Professor, 2020-2023). He specializes in Applied and Computational Topo...
2023 MWC Du-myeong Scholarships and Fellowships Award Ceremony
On Thursday, May 4, 2023, the Du-myeong (Two) Scholarships and Fellowships Awards Ceremony of MWC (Miwon Corporation) was held at the Education 4.0 Lecture Room of the Department of Mathematical Sciences at KAIST. Second-year student Kwon Dohyeong received a scholarship of KRW...
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 dr...
Professor JungHwan Park and Dr. Sungkyung Kang’s work featured by Quanta
Professor Park and Dr. Kang’s recent article “The (2,1)-cable of the figure-eight knot is not smoothly slice” was featured in Quanta magazine. The work is joint with Irving Dai, Abhishek Mallick, and Matthew Stoffregen. Sungkyung Kang got a bachelor degree in 2014 and a master’s degree in 2015 fr...
Professor Jinhyung Park participated in Chosun Biz New Year’s Young Scientist Interview Series
Professor Jinhyung Park had an interviewed with Chosun Biz by the recommendation of the Korean Academy of Science and Technology (KAST), and the article was published online on January 23, 2023. This is the fifth article in Chosun Biz 2023 New Year’s Young Scientist Interview Series [Young Brains...
Professor Kyeongsik Nam selected as POSCO Science Fellow 2023, and his research selected for Samsung Electronics Future Technology Projects in the second half of 2022
Professor Kyeongsik Nam has been awarded with the POSCO Science Fellowship 2023 and will receive a research grant of 100 million Korean won for up to two years. The POSCO TJ Park Foundation has offered the Fellowship since 2009 to support outstanding young scientists working at universities ...
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Problem of the week
Let \( X_1, X_2, \ldots \) be an infinite sequence of standard normal random variables which are not necessarily independent. Show that there exists a universal constant \( C \) such that \(\mathbb{E} \left[ \max_i \frac{|X_i|}{\sqrt{1 + \log i}} \right] \leq C\).
KAIST Compass Biannual Research Webzine
Let \( X_1, X_2, \ldots \) be an infinite sequence of standard normal random variables which are not necessarily independent. Show that there exists a universal constant \( C \) such that \(\mathbb{E} \left[ \max_i \frac{|X_i|}{\sqrt{1 + \log i}} \right] \leq C\).