Past IAM-PIMS distinguished colloquium events

Mon, 2018-01-22 15:00 - 16:00
Giles Hooker, Cornell Statistical Science and Biological Statistics & Computational Biology
Ordinary differential equation models are used extensively within mathematics as descriptions of processes in the real world. However, they are rarely employed by statisticians and there is a paucity of methods for combining differential equation models with data. This talk provides a survey of recently developed statistical methods for estimating parameters from data, conducting model criticism and improvement for differential equation models in the light of data, and designing experiments that yield optimal estimates of parameters.
Mon, 2018-01-15 15:00 - 16:00
Jane Wang, Cornell Physics and Mechanical & Aerospace Engineering
Insects are first evolved to fly, and to fly is not to fall. How does an insect fly, why does it fly so well, and how can we infer its ‘thoughts’ from its flight dynamics? We have been seeking mechanistic explanations of the complex movement of insect flight. Starting from the Navier-Stokes equations governing the unsteady aerodynamics of flapping flight, we worked to build a theoretical framework for computing flight. This has led to new interpretations and predictions of the functions of an insect’s internal machinery that orchestrate its flight.
Fri, 2017-11-24 16:00 - 17:00
Stephane Popinet
The equations of fluid mechanics can be used to describe natural processes over a wide range of scales, from the behaviour of micro-organisms to astrophysics. Each of these processes is in turn often controlled by internal interactions on widely different scales. Numerical methods able to efficiently resolve these interactions are — in combination with theoretical analysis and lab experiments — an essential tool for advancing our understanding.
Mon, 2017-10-23 15:00 - 16:00
Michael Overton, Courant Institute, NYU
Crouzeix's conjecture is among the most intriguing developments in matrix theory in recent years. Made in 2004 by Michel Crouzeix, it postulates that, for any polynomial p and any matrix A, ||p(A)|| <= 2 max(|p(z)|: z in W(A)), where the norm is the 2-norm and W(A) is the field of values (numerical range) of A, that is the set of points attained by v*Av for some vector v of unit length. Crouzeix proved in 2007 that the inequality above holds if 2 is replaced by 11.08, and very recently this was greatly improved by Palencia, replacing 2 by 1+sqrt(2).
Mon, 2017-09-18 15:00 - 16:00
Thomas Hillen, Mathematics University of Alberta
The human brain has a complex geometric structure consisting of white and gray matter, blood vessels, ventricles, skull etc. It forms a highly anisotropic medium. Glioma in the brain are known to invade along white matter tracks and along other brain structures. Using diffusion tensor imaging (DTI) it is now possible to obtain directional information of the brain geometry. In my talk I will show how this DTI information can be used to parametrize a fully anisotropic diffusion equation for glioma spread.
Mon, 2017-04-03 15:00 - 16:00
Graeme Milton, Utah
We would be hard-pressed to find an area of research that permeates so deeply in nearly all branches of physical sciences and mathematics as does the topic of homogenization. The notion of studying an effective or apparent or overall behaviour of a complex system that behaves differently microscopically occurs recurrently in all branches of science and engineering.
Fri, 2017-03-31 16:00 - 17:00
Mayya Tokman, UCMerced
Computer simulations of the dynamics of complex systems have become an integral tool of science and engineering. Large scale numerical models of systems evolving over a wide range of temporal and spatial scales are routinely encountered in a variety of fields from fluid mechanics and plasma physics to weather prediction and chemical engineering.
Mon, 2017-03-13 15:00 - 16:00
Karen Willcox, MIT
Mon, 2017-02-06 15:00 - 16:00
Mirela Ben-Chen, Technion
Mon, 2017-01-23 15:00 - 16:00
Craig Simmons, Toronto
Stem cell fate is regulated by cues from the cellular microenvironment, including biophysical and biochemical cues presented by the extracellular matrix. Matrix regulation of cell fate has broad implications from disease to regeneration. In this talk, I will discuss our work aimed at determining how biophysical and biochemical cues from the matrix act to drive the fate and function of mesenchymal stem cells.
Templates provided by UBC Department of Physics & Astronomy

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