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Applied Mathematics Colloquium Series

Upcoming Colloquia

Dashun Wang - Department of Industrial Engineering and Management Sciences, Northwestern University
Feb 18, 2019 - 1:50pm to 2:55pm
College of Science, Applied Mathematics - Colloquia - Rettaliata Engineering Center, Room 104
The hot streak — loosely defined as `winning begets more winnings' — highlights a specific period during which an individual’s performance is substantially better than his or her typical performance. Although hot streaks have been widely debated in sports, gambling and financial... read more
Mon.
Feb 18
Nils-Christian Detering - Department of Statistics and Applied Probability, University of California at Santa Barbara
Mar 4, 2019 - 1:50pm to 2:55pm
College of Science, Applied Mathematics - Colloquia - Rettaliata Engineering Center, Room 104
TBA
Mon.
Mar 4
Chang-Han Rhee - Department of Industrial Engineering and Management Sciences, Northwestern University
Mar 14, 2019 - 12:45pm to 1:45pm
College of Science, Applied Mathematics - Colloquia - Rettaliata Engineering Center, Room 104
TBA
Thu.
Mar 14
Mikhail Urusov - Department of Mathematics, University of Duisburg-Essen
Mar 25, 2019 - 1:50pm to 2:55pm
College of Science, Applied Mathematics - Colloquia - Rettaliata Engineering Center, Room 104
TBA
Mon.
Mar 25
Jin Ma - Department of Mathematics, University of South California
Apr 8, 2019 - 1:50pm to 2:55pm
College of Science, Applied Mathematics - Colloquia - Rettaliata Engineering Center, Room 104
TBA
Mon.
Apr 8
Jaksa Cvitanic - Division of The Humanities and Social Sciences, California Institute of Technology
Apr 15, 2019 - 1:50pm to 2:55pm
College of Science, Applied Mathematics - Colloquia - Rettaliata Engineering Center, Room 104
TBA
Mon.
Apr 15
Frederi Viens - Department of Statistics and Probability, Michigan State University
Apr 29, 2019 - 1:50pm to 2:55pm
College of Science, Applied Mathematics - Colloquia - Rettaliata Engineering Center, Room 104
TBA
Mon.
Apr 29

Applied Mathematics Colloquium Archive

Guillaume Bal - Department of Statistics & Department of Mathematics, University of Chicago
Feb 11, 2019 - 1:50pm to 2:55pm
College of Science, Applied Mathematics - Colloquia - Rettaliata Engineering Center, Room 104
Topological insulators (TIs) are materials characterized by topological invariants. One of their remarkable features is the asymmetric transport observed at the interface between materials in different topological phases. Such transport is itself described by a topological invariant, and therefore... read more
Mon.
Feb 11
Jesus A. De Loera - Department of Mathematics, University of California at Davis
Feb 4, 2019 - 1:50pm to 2:55pm
College of Science, Applied Mathematics - Colloquia - Rettaliata Engineering Center, Room 104
Linear programs (LPs) are, without any doubt, at the core of both the theory and the practice of modern applied and computational optimization (e.g., in discrete optimization LPs are used in practical computations using branch-and-bound, and in approximation algorithms, e.g., in... read more
Mon.
Feb 4
David Bindel - Department of Computer Science, Cornell University
Jan 28, 2019 - 1:50pm to 2:55pm
College of Science, Applied Mathematics - Colloquia - Rettaliata Engineering Center, Room 104
Gaussian processes (GPs) define a distribution over functions that generalizes the multivariate normal distribution over vector spaces. Long used as a tool for spatio-temporal statistical modeling, GPs are also a key part of the modern arsenal in machine learning. Unfortunately, Gaussian process... read more
Mon.
Jan 28
Caroline Uhler - Department of Electrical Engineering and Computer Science & Institute for Data, Systems and Society, Massachusetts Institute of Technology
Jan 22, 2019 - 12:45pm to 1:45pm
College of Science, Applied Mathematics - Colloquia - Rettaliata Engineering Center, Room 104
A recent break-through in genomics makes it possible to perform perturbation experiments at a very large scale. The availability of such data motivates the development of a causal inference framework that is based on observational and interventional data. We first characterize the causal... read more
Tue.
Jan 22
Oana Marin - Argonne National Laboratory
Jan 14, 2019 - 1:50pm to 2:55pm
College of Science, Applied Mathematics - Colloquia - Rettaliata Engineering Center, Room 104
Fluid phenomena dominated by viscous effects can be modeled by the Stokes equations. The boundary integral form of the Stokes equations reduces the number of degrees of freedom in a numerical discretization by reformulating the three-dimensional problem to two-dimensional integral equations over... read more
Mon.
Jan 14
Matthew Plumlee - Department of Industrial Engineering and Management Sciences, Northwestern University
Nov 26, 2018 - 1:50pm to 2:55pm
College of Science, Applied Mathematics - Colloquia - Rettaliata Engineering Center, Room 104
There has been a recent surge in statistical methods for calibration of inexact models. Alongside these developments, a controversy has emerged about the goals of calibration of inexact models. This talk will trace a swath of research stemming from twenty years ago and potential concerns are marked... read more
Mon.
Nov 26
Guang Lin - Department of Mathematics & School of Mechanical Engineering, Purdue University
Nov 16, 2018 - 1:50pm to 2:55pm
College of Science, Applied Mathematics - Colloquia - Rettaliata Engineering Center, Room 104
I will present a new data-driven paradigm on how to quantify the structural uncertainty (model-form uncertainty) and learn the physical laws hidden behind the noisy data in the complex systems governed by partial differential equations. The key idea is to identify the terms in the underlying... read more
Fri.
Nov 16
Wei Chen - Department of Mechanical Engineering, Northwestern University
Nov 12, 2018 - 1:50pm to 2:55pm
College of Science, Applied Mathematics - Colloquia - Rettaliata Engineering Center, Room 104
Integrated Computational Materials Engineering (ICME) hinges on engineering microstructural features into the materials design process where the overarching goal is to search for materials with superior structure-level performance while systematically accounting for various sources of uncertainties... read more
Mon.
Nov 12
Per Mykland - Department of Statistics, University of Chicago
Nov 5, 2018 - 1:50pm to 2:55pm
College of Science, Applied Mathematics - Colloquia - Rettaliata Engineering Center, Room 104
The availability of high frequency financial data has generated a series of estimators based on intra-day data, improving the quality of large areas of financial econometrics. However, estimating the standard error of these estimators is often challenging. The root of the problem is that... read more
Mon.
Nov 5
Maxim Bichuch - Department of Applied Mathematics and Statistics, Johns Hopkins University
Oct 29, 2018 - 1:50pm to 2:55pm
College of Science, Applied Mathematics - Colloquia - Rettaliata Engineering Center, Room 104
In a crisis when faced with insolvency, banks can issue shares/sell their treasury stock in the stock market and borrow money in order to raise funds. We propose a simple model to find the maximum amount of new funds the bank can raise in this way. To do this we incorporate market confidence of the... read more
Mon.
Oct 29

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