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X-PUBLISHED-TTL:PT15MIN
METHOD:PUBLISH
X-WR-CALNAME:Maths & Stats: Mathematical Biology Seminar
BEGIN:VEVENT
UID:GLW_UNI_MS_WEBEVT_10708@maths-stats.gla.ac.uk
DTSTAMP:19700101T000000Z
DTSTART:20210430T140000Z
DTEND:20210430T150000Z
SUMMARY:Applied Mathematics\, Mathematical Biology Seminar\, Statistics Seminar: Understanding Scientific Processes via Sequential History Matching and Emulation of Computer Models - Samuel Jackson (University of Southampton)
DESCRIPTION:Abstract: Computer models are essential for aiding the understanding of real-world processes of interest. History matching aims to find the set of all possible combinations of computer model input rate parameters which are not inconsistent with observed data\, gathered from a collection of physical experiments\, given all the sources of uncertainty...\N\NMore information: http://www.gla.ac.uk/schools/mathematicsstatistics/events/details/?id=10708
LOCATION:https://www.smartsurvey.co.uk/s/MNW32H/
SEQUENCE:3
STATUS:CONFIRMED
CLASS:PUBLIC
END:VEVENT
BEGIN:VEVENT
UID:GLW_UNI_MS_WEBEVT_10716@maths-stats.gla.ac.uk
DTSTAMP:19700101T000000Z
DTSTART:20210507T140000Z
DTEND:20210507T150000Z
SUMMARY:Applied Mathematics\, Mathematical Biology Seminar\, SofTMech\, Statistics Seminar: On the effects of vascular network size for hemodynamic parameter inference - Mitchel Colebank (North Carolina State University)
DESCRIPTION:Abstract: Computational fluid dynamics (CFD) modeling is an emerging tool for understanding the prognosis and development of cardiovascular disease. Advances in image analysis and data acquisition has led to patient-specific CFD\, whereby imaging data is directly used as the vascular domain for computational hemodynamic simulations. These techniques are underutilized in understanding...\N\NMore information: http://www.gla.ac.uk/schools/mathematicsstatistics/events/details/?id=10716
LOCATION:https://www.smartsurvey.co.uk/s/MNW32H/
SEQUENCE:2
STATUS:CONFIRMED
CLASS:PUBLIC
END:VEVENT
BEGIN:VEVENT
UID:GLW_UNI_MS_WEBEVT_10712@maths-stats.gla.ac.uk
DTSTAMP:19700101T000000Z
DTSTART:20210521T140000Z
DTEND:20210521T150000Z
SUMMARY:Applied Mathematics\, CMALS\, Mathematical Biology Seminar\, SofTMech\, Statistics Seminar: Statistical Inference and Uncertainty Quantification in Cardio-physiological Modelling - SoftMech-SET (University of Glasgow)
DESCRIPTION:Abstract: This is a series of short presentations to showcase the work carried out at the new EPSRC-funded research hub "SoftMech-Set". Dirk HusmeierOverview of the Hubâ€™s research remit Richard ClaytonCalibration and sensitivity analysis in cardiac electrophysiology Hao GaoParameter inference for myocardial constitutive laws based on cardiac magnetic resonance...\N\NMore information: http://www.gla.ac.uk/schools/mathematicsstatistics/events/details/?id=10712
LOCATION:Maths 311B
SEQUENCE:2
STATUS:CONFIRMED
CLASS:PUBLIC
END:VEVENT
BEGIN:VEVENT
UID:GLW_UNI_MS_WEBEVT_10736@maths-stats.gla.ac.uk
DTSTAMP:19700101T000000Z
DTSTART:20211015T140000Z
DTEND:20211015T150000Z
SUMMARY:Applied Mathematics\, Mathematical Biology Seminar\, SofTMech\, Statistics Seminar: Collaborative Healthcare Innovation through Mathematics\, Engineering and AI - Rebecca Shipley and her group (University College London)
DESCRIPTION:Abstract: Hospitals collect a wealth of physiological data that provide information on patient health. Full use of this data is significantly limited by its complexity and by a limited mechanistic understanding of the relationship between internal physiology and external measurement. Addressing this challenge requires multidisciplinary collaboration between mathematicians developing...\N\NMore information: http://www.gla.ac.uk/schools/mathematicsstatistics/events/details/?id=10736
LOCATION:https://www.smartsurvey.co.uk/s/MNW32H/
SEQUENCE:4
STATUS:CONFIRMED
CLASS:PUBLIC
END:VEVENT
END:VCALENDAR