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X-WR-CALNAME:Claremont Center for the Mathematical Sciences
X-ORIGINAL-URL:https://colleges.claremont.edu/ccms
X-WR-CALDESC:Events for Claremont Center for the Mathematical Sciences
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DTSTART;TZID=America/Los_Angeles:20181107T161500
DTEND;TZID=America/Los_Angeles:20181107T171500
DTSTAMP:20260410T132608
CREATED:20180928T171215Z
LAST-MODIFIED:20181102T194937Z
UID:847-1541607300-1541610900@colleges.claremont.edu
SUMMARY:The Legacy of Rudolph Kalman (Andrew Stuart\, Caltech)
DESCRIPTION:Abstract: In 1960 Rudolph Kalman published what is arguably the first paper to develop a systematic\, principled approach to the use of data to improve the predictive capability of mathematical models. As our ability to gather data grows at an enormous rate\,  the importance of this work continues to grow too. The lecture will describe this paper\, and developments that have stemmed from it\, revolutionizing fields such space-craft control\, weather prediction\, oceanography\, oil recovery\, medical imaging and artificial intelligence. Some mathematical details will be also provided\, but limited to simple concepts such as optimization and iteration; the  talk is designed to be broadly accessible to anyone with an  interest in quantitative science.
URL:https://colleges.claremont.edu/ccms/event/andrew-stuart-caltech/
LOCATION:Argue Auditorium\, Pomona College\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Ali Nadim":MAILTO:ali.nadim@cgu.edu
GEO:34.0999157;-117.7142668
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Argue Auditorium Pomona College 610 N. College Ave. Claremont CA 91711 United States;X-APPLE-RADIUS=500;X-TITLE=610 N. College Ave.:geo:-117.7142668,34.0999157
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181114T161500
DTEND;TZID=America/Los_Angeles:20181114T171500
DTSTAMP:20260410T132608
CREATED:20180928T171315Z
LAST-MODIFIED:20181109T164101Z
UID:849-1542212100-1542215700@colleges.claremont.edu
SUMMARY:Coupled Mechanochemical Multiscale Model to Study the Growth Regulation and Morphogenesis during Tissue Development (Weitao Chen\, UCR)
DESCRIPTION:Growth regulation and pattern formation are two main problems in developmental biol-\nogy. How cells know when to stop growing at certain tissue size with specic shape is an important\nquestion in both developmental biology and regenerative medicine\, and it is still an unsolved mystery\nin many systems. During the growth\, tissues and organs always exhibit self-government to some\nextent. Cells stop proliferation precisely when the intended size of the tissue or organ is achieved.\nMeanwhile\, dierential cell shapes in space are integrated to give rise to well-organized overall struc-\nture. Uncontrolled growth of the cells in tissues or organs will lead to abnormal development or\nfatal diseases such as cancer. Therefore\, developing an extensible predictive mathematical model\nfor exploring the mechanisms involved in the tissue development is signicant for understanding\nthe fundamental principles in developmental biology\, with a broad range of applications from tissue\nengineering to biomanufacturing and biotech industry. Experimental data suggests that mechanical\nproperties of cells and chemical signals in both intracellular and extracellular domains play critical\nroles in size control and shape formation. Here we develop a multiscale\, mechochemical coupled\nmodel of tissue growth control. This rst-of-class modeling approach provides sub-cellular details\nto both mechanical properties and chemical signaling during tissue growth. This model is applied\nto test competing hypotheses in the eld to resolve the highly debated question of how tissues reach\ntheir nal size\, as well as how the tissue shape is determined simultaneously.
URL:https://colleges.claremont.edu/ccms/event/weitao-chen-ucr/
LOCATION:Argue Auditorium\, Pomona College\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Ali Nadim":MAILTO:ali.nadim@cgu.edu
GEO:34.0999157;-117.7142668
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Argue Auditorium Pomona College 610 N. College Ave. Claremont CA 91711 United States;X-APPLE-RADIUS=500;X-TITLE=610 N. College Ave.:geo:-117.7142668,34.0999157
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181121T161500
DTEND;TZID=America/Los_Angeles:20181121T171500
DTSTAMP:20260410T132608
CREATED:20181030T210551Z
LAST-MODIFIED:20181030T210551Z
UID:927-1542816900-1542820500@colleges.claremont.edu
SUMMARY:No colloquium (Thanksgiving week)
DESCRIPTION:
URL:https://colleges.claremont.edu/ccms/event/no-colloquium-thanksgiving-week/
LOCATION:CA
CATEGORIES:Colloquium
ORGANIZER;CN="Ali Nadim":MAILTO:ali.nadim@cgu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181128T161500
DTEND;TZID=America/Los_Angeles:20181128T171500
DTSTAMP:20260410T132608
CREATED:20180928T171407Z
LAST-MODIFIED:20181115T191108Z
UID:851-1543421700-1543425300@colleges.claremont.edu
SUMMARY:Convolutional Dictionary Learning for Tomographic Reconstruction (Cristina Garcia-Cardona\, LANL)
DESCRIPTION:Convolutional sparse representation is an efficient tool for computing sparse representations for entire signals in terms of sums of a set of convolutions with dictionary filters. Unlike representations that are based on overlapping image patches\, the convolutional representation optimizes over the entire image\, yielding representations that are very sparse both spatially and across the filters. This technique has been successfully applied to natural images\, video and speech in tasks as diverse as denoising\, classification or superresolution. In this work\, we develop a convolutional dictionary learning framework for tomographic reconstruction. We apply the technique to simulated parallel beam tomography data and show that its performance is comparable to the state-of-the-art reconstruction techniques.
URL:https://colleges.claremont.edu/ccms/event/cristina-garcia/
LOCATION:Argue Auditorium\, Pomona College\, 610 N. College Ave.\, Claremont\, CA\, 91711\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Ali Nadim":MAILTO:ali.nadim@cgu.edu
GEO:34.0999157;-117.7142668
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