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DTSTART;TZID=America/Detroit:20260811T120000
DTEND;TZID=America/Detroit:20260811T130000
DTSTAMP:20260727T231654Z
CREATED:20260617T195238Z
LAST-MODIFIED:20260727T231654Z
UID:10000863-1786449600-1786453200@micde.umich.edu
SUMMARY:Ph.D. in Scientific Computing Student Seminar
DESCRIPTION:The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. Lunch will be served. These events are open to the public\, but we request that all who plan to attend register in advance. Planned sessions will be canceled if no one signs up to present\, and registered attendees will be notified. \nIf you have any questions\, please email micde-phd@umich.edu. \nRegister to attend \nImprove influenza burden estimation through multiplier prediction and true case estimation\nInfluenza infection burden estimation in the US currently relies on multipliers that are not timely updated. This study aims to utilize Michigan Medicine patient records and local longitudinal cohorts to describe and predict next season values for influenza case-to-hospitalization ratios and percent of cases seeking outpatient care using machine learning classification models. We also estimated true number of inpatient and outpatient influenza cases in the capture population of five Michigan Medicine sites\, which was validated through scenario simulations using an agent-based model. \nTroy Zirui Zhou (Epidemiology and Scientific Computing)\nZhou research involves influenza burden estimation\, phylodynamics\, and modeling. \n\nFluttering and Tumbling in Falling Plates\nFalling thin bodies are ubiquitous in nature: gliding birds and falling leaves are familiar examples. In this talk\, we discuss how fast\, low order numerical models can help explain the fundamental physics behind such motions. \nYu Jun Loo (Mathematics and Scientific Computing)\nLoo Yu Jun is a PhD candidate in pure mathematics and scientific computing. He works with Professor Silas Alben on developing fast computational methods for bio-locomotion. \n 
URL:https://micde.umich.edu/event/ph-d-in-scientific-computing-student-seminar-3/
LOCATION:Room 4425\, Green Court Building
CATEGORIES:Aerospace Engineering,Chemical Engineering,Chemistry,Civil and Environmental Engineering,College Of Engineering,Computation,Computational Medicine,Computational Modeling,Computational Science,Computational Social Science,Data Science,Engineering,Free,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,Health Behavior & Health Equity,In Person,Interdisciplinary,Machine Learning,Materials Science,Micde,Phd Seminar,Political Science,Prospective Graduate Students,Public Health,Research,Science,Scientific Computing,Sessions
ATTACH;FMTTYPE=image/png:https://micde.umich.edu/wp-content/uploads/2026/06/Screenshot-2026-07-27-at-7.11.44-PM.png
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DTSTART;TZID=America/Detroit:20260818T120000
DTEND;TZID=America/Detroit:20260818T130000
DTSTAMP:20260727T231621Z
CREATED:20260617T195355Z
LAST-MODIFIED:20260727T231621Z
UID:10000864-1787054400-1787058000@micde.umich.edu
SUMMARY:Ph.D. in Scientific Computing Student Seminar
DESCRIPTION:The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. Lunch will be served. These events are open to the public\, but we request that all who plan to attend register in advance. Planned sessions will be canceled if no one signs up to present\, and registered attendees will be notified. \nIf you have any questions\, please email micde-phd@umich.edu. \nRegister to attend \nTasmine Clement (Bioinformatics and Scientific Computing)\nModeling Pulse Contrast Enhancement for Fiber Laser-Driven Laser-Plasma Acceleration\nMichael Garner (Electrical & Computer Engineering and Scientific Computing)
URL:https://micde.umich.edu/event/ph-d-in-scientific-computing-student-seminar-4/
LOCATION:Room 4425\, Green Court Building
CATEGORIES:Aerospace Engineering,Chemical Engineering,Chemistry,Civil and Environmental Engineering,College Of Engineering,Computation,Computational Medicine,Computational Modeling,Computational Science,Computational Social Science,Data Science,Engineering,Free,Graduate,Graduate and Professional Students,Graduate School,Graduate Students,Health Behavior & Health Equity,In Person,Interdisciplinary,Machine Learning,Materials Science,Micde,Phd Seminar,Political Science,Prospective Graduate Students,Public Health,Research,Science,Scientific Computing,Sessions
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