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Mathematics & Statistics
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  Colloquium Archive

Colloquia — Fall 2018

Friday, October 19, 2018

Title
Speaker


Time
Place
Sponsor

Almost axisymmetric flows
Marc Sedjro
African Institute for Mathematical Sciences (AIMS)
Tanzania, Africa
3:00pm-4:00pm
CMC 130
Mohamed Elhamdadi










Abstract

Almost axisymmetric flows are designed to model tropical cyclones. In 1988, Shutts et al proposed a discrete procedure to construct a solution to the forced axisymmetric flows within a rigid boundary. In this talk, I will discuss how we have extended their results to the continuous case within an appropriate free boundary domain. In addition, I will explain how overcoming an elliptic regularity issue could be an important step toward extending our procedure to handle almost axisymmetric flows.

Friday, October 12, 2018

Title
Speaker

Time
Place
Sponsor

TBA
Myrto Manolaki
University of Dublin
3:00pm-4:00pm
CMC 130
Catherine Bénéteau

Abstract

TBA

Friday, October 5, 2018

Title
Speaker

Time
Place
Sponsor

Ring Theoretic Aspects of Quandles
Boris Tsvelikhovskiy
Northeastern University
3:00pm-4:00pm
CMC 130
Mohamed Elhamdadi

Abstract

A quandle is a set \(X\) with a binary operation satisfying axioms analogous to Reidemeister moves (this operation is usually nonassociative). They were introduced independently by Joyce and Matveev in the 1980's with the purpose of constructing invariants of knots. In a recent paper arXiv:1709.03069 the authors initiated the study of quandle rings. For the duration of the talk we will mostly concentrate on finite quandles (the set \(X\) consists of finitely many elements). After discussing some basic properties of these rings, I will explain how ideas from representation theory of finite groups and semigroups under certain assumptions allow to classify simple right and left ideals. Examples will be provided. In the final part of the talk some open problems will be mentioned.

Friday, September 28, 2018

Title
Speaker


Time
Place
Sponsor

Hosting a Data Competition: Strategic Design and Analysis to Get More than Just a Winner
Christine M. Anderson-Cook
Statistical Sciences Group
Los Alamos National Laboratory
3:00pm-4:00pm
CMC 130
Lu Lu

Abstract

Leveraging the depth and breadth of expertise available through crowdsourcing can be a powerful accelerator to methodology development and improved solutions for high consequence problems. Participating in data science competitions has become quite popular and prevalent in the data science community. However, the implementations of the competitions by hosts are highly variable and can sometimes lead to selecting an unintended winner, whose solution does not closely match to the real problem of interest. This talk outlines considerations when hosting a competition, including (1) how to construct the competition datasets to drive the best solutions, (2) how to construct an ideal leaderboard scoring metric to select the desired winners, and (3) how to extract as much detailed understanding about the strengths and weaknesses of the solutions through a post-competition analysis. The methods are illustrated using a recently-completed competition to evaluate algorithms capable of detecting, locating, and characterizing radioactive materials in an urban environment.