BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Biomedical Mathematics Group - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.ibs.re.kr/bimag
X-WR-CALDESC:Events for Biomedical Mathematics Group
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Asia/Seoul
BEGIN:STANDARD
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:20250101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20260210T133000
DTEND;TZID=Asia/Seoul:20260210T150000
DTSTAMP:20260508T204001
CREATED:20260209T054541Z
LAST-MODIFIED:20260404T011156Z
UID:12203-1770730200-1770735600@www.ibs.re.kr
SUMMARY:IBS BIMAG 2025 Winter Internship Presentation
DESCRIPTION:Assigned time\nChair\nTopic\nMentee\nMentor\nTitle\n\n\n \n\n13:30–13:35\nMyna Lim\nDigital Health &\nClinical Methodology\nSuhyeon Hwang\nMyna Lim\nDevelopment of a Shortened Version of Cognitive Flexibility Inventory (CFI)\n\n\n13:35–13:40\nSugwon Cho\nMyna Lim\nMachine Learning–Based Development of a Short-Form Scale for Subjective Perceptions of Sleep Medications\n\n\n13:45–13:50\nTaekeun Kim\nKangmin Lee\nRevealing pattern of slow wave activity for insomnia diagnosis\n\n\n13:50–13:55\nJeongmin Kim\nJin Woo Hyun\nIterative Multi-Kernel Self-Supervised Learning for Multimodal Wearable Data\n\n \n\n13:55–14:00\nKangmin Lee\nSleep\nMinjae Kim\nKangmin Lee\nImproving prediction of circadian phase with mathematical model of sleep\n\n\n14:00–14:05\nDaewon Jeong\nYun Min Song\nAnalysis of Sleep Patterns Leading to Improved Sleep and Enhanced Alertness\n\n\n14:05–14:10\nSeunghun Lee\nYun Min Song\nAnalysis on relation between alertness and sleep quality during treatment\n\n \n\n14:10–14:15\nHyeong Jun Jang\nMolecular &\nCellular dynamics\nJunyoung Lee\nHyeong Jun Jang\nAI-based expansion of the validity condition for enzyme kinetic model\n\n\n14:15–14:20\nSe Jun Ahn\nHyeong Jun Jang\nPractical application of 2D-3D reaction-diffusion model in transporter\n\n\n14:20–14:25\nJaehun Jeong\nGyuyoung Hwang\nUnifying framework for circadian temperature robustness: The roles of waveform and intercellular coupling\n\n\n14:25–14:30\nJaehyuk Yang\nHyun Kim\nImproving Spatial Gene Prediction via scLENS-Driven SpaGE\n\n\n14:30–14:35\nMath & AI\nfor dynamics\nGia Hyun\nDongju Lim\nWeak form estimation of history-dependent epidemiological dynamics\n\n\n14:35–14:40\nGyeongwan Gu\nJin Woo Hyun\nDeep Predictor-Corrector Networks for Robust Parameter Estimation in Non-autonomous System with Discontinuous Inputs\n\n\n14:40–14:45\nJiwon Jang\nGyuyoung Hwang\nFlow matching with Physics-informed principle to solve inverse problem\n\n\n14:45–14:50\nMinjun Kim & Taekwan Kim\nKangmin Lee\nCharacterizing Circadian Modulation of Heart Rate Through Physics-Informed Neural Network Inference
URL:https://www.ibs.re.kr/bimag/event/ibs-bimag-2025-winter-internship-presentation/
LOCATION:B232 Seminar Room\, IBS\, 55 Expo-ro Yuseong-gu\, Daejeon\, Daejeon\, 34126\, Korea\, Republic of
CATEGORIES:Lunch Lab Meeting Seminar
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20260210T160000
DTEND;TZID=Asia/Seoul:20260210T180000
DTSTAMP:20260508T204001
CREATED:20260126T084409Z
LAST-MODIFIED:20260126T084537Z
UID:12148-1770739200-1770746400@www.ibs.re.kr
SUMMARY:Toward a Foundation Model for Molecular Tasks - Sungbin Lim
DESCRIPTION:Abstract \n(국문) 최근 거대언어모델(LLM)을 기술의 발전은 AI4Science 분야에서 Foundation Model 개발에 대한 세계적인 관심을 촉발하였다. 그 중에서도 신약 및 신소재 개발에 연계된 Molecular 도메인에서의 Foundation Model 연구는 막대한 산업적 영향력과 가치를 가지고 있다. 본 발표에서는 분자 구조 생성\, 물성\, 및 반응 예측 문제에 적용되기 위해 필요한 Multimodal LLM 연구 성과와 방향성을 소개하고자 한다. \n(English) The advancement of Large Language Models (LLMs) is drawing huge interest in developing Foundation Models for the field of AI4Science. In particular\,  Foundation Model research within the molecular domain\, specifically linked to drug discovery and advanced materials\, holds immense industrial impact and value. In this presentation\, we introduce recent achievements in Multimodal LLM research for molecular structure generation\, property prediction\, and chemical reaction forecasting. This is a joint work with LG AI Research.
URL:https://www.ibs.re.kr/bimag/event/toward-a-foundation-model-for-molecular-tasks-sungbin-lim/
LOCATION:B232 Seminar Room\, IBS\, 55 Expo-ro Yuseong-gu\, Daejeon\, Daejeon\, 34126\, Korea\, Republic of
CATEGORIES:Biomedical Mathematics Seminar
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
END:VCALENDAR