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X-WR-CALNAME:Biomedical Mathematics Group
X-ORIGINAL-URL:https://www.ibs.re.kr/bimag
X-WR-CALDESC:Events for Biomedical Mathematics Group
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TZID:Asia/Seoul
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TZOFFSETFROM:+0900
TZOFFSETTO:+0900
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DTSTART:20230101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20240731T103000
DTEND;TZID=Asia/Seoul:20240731T120000
DTSTAMP:20260522T095227
CREATED:20240730T102340Z
LAST-MODIFIED:20260404T011149Z
UID:9908-1722421800-1722427200@www.ibs.re.kr
SUMMARY:IBS BIMAG 2024 Summer Internship workshop
DESCRIPTION:  \n\n\n\nPresentor(s)\nMentor\nTalk title\n\n\nJaehun Jeong\nGyuyoung Hwang\nAnalyzing coupled SCN cell frequencies of mammals for multi-step transcriptional model\n\n\nHyunsuk Choo\, Yonghee Lee\nSeok Joo Chae\nDevelopment of a data-driven causality detection method using Taken’s Theorem\n\n\nJuhyeon Kim\nDongju Lim\nAccurate initial condition for circadian pacemaker model estimating the circadian phase\n\n\nKyeongtae Ko\nDongju Lim\nAccurate initial condition estimation of exposed individuals in SEIR model\n\n\nAshley L Lawas\nOlive R Cawiding\nAdvancing causal inference in complex systems through ODE-based methods\n\n\nSieun Lee\nOlive R Cawiding\nImproving efficiency of sleep disorder diagnosis via SymScore\n\n\nDaniel Shin\, Anar Rzayev\nOlive R Cawiding\nImproving Sleep Disorder Diagnosis Questionnaire (SLEEPS) by integrating Lifestyle Factors into Machine-learning algorithms\n\n\nShubhangi Kumar\nPan Li\nModelling cardiac pacemaking dysfunction in heart failure progression\n\n\nYejin Lee\nPan Li\nModelling beta-adrenergic regulation of calcium dynamics in human ventricular myocytes\n\n\nHyungu Lee\nYun Min Song\nPSG sleep pattern prediction from actigraphy data\n\n\nYujin Park\nYun Min Song\nValidating the usefulness of anchor sleep from sleep-wake patterns using ESS\n\n\nYoon Kim\nYun Min Song\nPredicting sleep onset latency\n\n\n\n 
URL:https://www.ibs.re.kr/bimag/event/summer-intern-workshop-2024/
LOCATION:Daejeon
CATEGORIES:Lunch Lab Meeting Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20240731T160000
DTEND;TZID=Asia/Seoul:20240731T170000
DTSTAMP:20260522T095227
CREATED:20240728T141528Z
LAST-MODIFIED:20240728T141528Z
UID:9889-1722441600-1722445200@www.ibs.re.kr
SUMMARY:Hyukpyo Hong\, Koopman representation: Linear representation – not an approximation – of nonlinear dynamics
DESCRIPTION:Abstract: A system of ordinary differential equations (ODEs) is one of the most widely used tools to describe a deterministic dynamical system. In general\, such ODEs involve nonlinear equations\, which make analysis of dynamical systems difficult. In this talk\, we introduce Koopman theory\, which offers a linear representation – not an approximation – of nonlinear dynamics. In particular\, we present a data-driven algorithm to find such a linear representation
URL:https://www.ibs.re.kr/bimag/event/hyukpyo-hong-koopman-representation-linear-representation-not-an-approximation-of-nonlinear-dynamics/
LOCATION:Daejeon
CATEGORIES:Biomedical Mathematics Seminar
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
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