IMA/MCIM Industrial Problems Seminar

In collaboration with the University of Minnesota’s School of Mathematics, the Industrial Problems Seminars are a forum for industrial researchers to present their work to an audience of IMA postdocs, visitors, and graduate students, offering a first-hand glimpse into industrial research. The seminar series is often useful for initiating contact with industrial scientists. The IMA’s seminar series is the oldest and longest running seminar series in industrial mathematics.

This year's seminars are organized by Daniel Spirn, School of Mathematics, University of Minnesota.

All seminars are from 1:25pm - 2:25pm unless otherwise noted.
  • Regularization in the Real World

    Eric Voth, St. Jude Medical
    September 19, 2014
    Lind 305 [Map]


    The inverse problem of determining cardiac electrical patterns from measurements on internal or external electrodes has received increasing attention from medical-device companies in recent years. This talk will describe new ideas for regularization methods, simulation and preclinical experiments to evaluate and optimize them, and some of the clinical factors that make reliable solutions more difficult in vivo.
  • What is the Depth Necessary …?

    Benoit Couet, Schlumberger-Doll Research
    October 10, 2014
    Lind 305 [Map]


    The title makes reference to an important part of Schlumberger’s business, mainly the drilling of wells for the production of hydrocarbons. It also alludes to the depth of knowledge in mathematics, for example, one should possess to work in an industrial setting. The presentation will introduce Schlumberger to the audience with some examples of the kind of technology the company is making use of. The second part of the talk will explore in more detail a particular problem, presenting justifications for the techniques being employed and some pertinent results.
  • Algorithms for Signal Matching in Durability Testing

    Juan Garcia, MTS Systems Corporation
    October 31, 2014
    Lind 305 [Map]


    Mechanical durability testing in the automotive, aerospace and other industries presents great challenges. Current techniques typically require iterations to process the data acquired in the field so that it can be accurately simulated in the test lab. This talk will describe the state of the art for durability testing, present real-world examples, and point out some of the areas where development is needed.
  • Uncertainty Quantification in the Composites Industry: Designing Better Materials, Faster

    Paul Patrone, University of Minnesota, Twin Cities
    November 7, 2014
    Lind 305 [Map]

    Abstract forthcoming.

  • Title Forthcoming

    Amr El-Bakry, ExxonMobil
    February 6, 2015
    Lind 305 [Map]

    Abstract forthcoming.

Previous Industrial Seminars

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