2025 SIAM Front Range Student Conference

Date: Saturday, March 8, 2025

Aproximate time: 8:30am - 3:30pm

The SIAM student chapters of Colorado are hosting their 21th annual regional student conference on applied mathematics for all schools along the Front Range. This event will allow students from different universities in the area to see what is being done in this field and promote interest in applied mathematics in general. This event is open to both undergraduates and graduate students.

Poster

All speakers and conference attendees should fill out a so we can keep you updated on any changes.

Location

This will be an in-person conference. Student speakers and attendees will attend in person on the CU Denver Auraria campus in the north classroom. Please find the directions here.

Parking at CUDenver:

Parking at CUDenver: If you are planning to drive to the CUDenver campus there are several options on where to park. The closest parking options to the Student Commons building are hourly metered street parking, the Spruce Lot, and the Tivoli Parking Garage. It is recommended to park in the Spruce lot for uncovered parking and Tivoli Parking Garage for covered parking. There is a coupon code: TBD, and here are the instructions for applying the coupon code. This code can not be used at The North end of the 1st floor in the 7th Street Garage and the Juniper, Oak, and Maple Lots. Furthermore, this coupon code can NOT be used in metered spaces, service vehicle spaces, or loading zone spaces on campus.

Industry panel discussion with

  • TBD

Call for Presentations

All students (undergraduate and graduate) are invited to submit abstracts on any research topic in applied mathematics. Please submit your title and abstract as soon as possible, but no later than Friday, Feb 28 2025.ÌýAll titles and abstracts should be submitted toÌýFRAMSC.abstracts@gmail.com. For further direction on presentation format, see this page.

2025 SIAM Conference Keynote Speaker

2025 framsc speaker photo0

Speaker

Dr. Jennifer Mueller

Title

"Imaging lung function in infants using electrical impedance tomography"

Abstract

Electrical impedance tomography (EIT) is a relatively new medical imaging technique in which electric fields are used to form real-time images of organ function and structure. Ìý It is particularly suitable for imaging infants since it does not impart ionizing radiation. ÌýTo form these images, it is necessary to solve a severely ill-posed inverse problem with computational efficiency. Ìý This talk will provide an introduction to EIT and the state-of-the art for pulmonary imaging. ÌýDirect (non-iterative) and iterative reconstruction methods, including the D-bar method, a direct reconstruction algorithm based on techniques of inverse scattering, will be presented. ÌýResults from data collected on infants at Children's Hospital Colorado will demonstrate its potential for monitoring infants in the NICU.
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About the Speaker

Dr. Jennifer Mueller is the Albert C. Yates Chair Professor of Mathematics and a Professor of Biomedical Engineering at Colorado State University (CSU). She received her Ph.D. from the University of Nebraska-Lincoln in 1997, and was an NSF Postdoctoral Fellow at Rensselaer Polytechnic Institute before joining the faculty at CSU in 2000. ÌýShe held the 3-year position of Professor Laureate in the College of Natural Sciences at CSU from 2020 through 2022. ÌýHer research encompasses development of new hardware, reconstruction algorithms, and clinical applications for electrical impedance tomography (EIT) and ultrasound computed tomography (USCT). ÌýSupported by the NIH, her work involves close collaborations with mathematicians, engineers, and physicians in the U.S. and abroad. ÌýDr. Mueller serves as an Associate Editor for IEEE Transactions on Medical Imaging and is the co-founding editor of the journal Applied Mathematics for Modern Challenges. ÌýShe is co-author with Samuli Siltanen of the book "Linear and Nonlinear Inverse Problems with Practical Applications", SIAM, 2012, and they are working on a new book: "Introduction to Inverse Problems: A Data Science Perspective". Ìý
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Conferences Photos

Previous SIAM Conferences