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Events

Zev Woodstock, NC State, Proximal methods for optimization

SAS 1220

Convex optimization problems appear naturally across the sciences in fields such as compressed sensing, statistics, machine learning, image processing, and inverse problems. This talk will discuss the theory, applications, and…

Introduction to SIAM

The SIAM student chapter will be hosting an introductory lecture aimed at Undergraduates and Graduate students on national SIAM events, SIAM resources, and upcoming student chapter events. Cookies and coffee…

John Lagergren, SIAM Student Chapter: Graduate Student Tutorial

Mann 404

Machine learning has become widely popular in fields like computer vision, natural language processing, and speech recognition, often performing tasks better than humans. A fundamental building block of many of…

SIAM Student Chapter Academic Job Hiring Panel

SAS 1102

Profs. Ilse Ipsen, Ralph Smith, and Mansoor Haider will provide their insight on experiences in academic job hiring. This panel will provide graduate students interested in careers in academia with…

SIAM Seminar: ML Explainability vs. Adversarial ML

Mann 404

How do we know that we can trust our machine learning models?  How do we detect when an adversary is exploiting our machine learning solutions? How does the explainability of machine…

Tracie Ellis, SIAM Mathematics in Industry Seminar

Zoom

Zoom link: https://ncsu.zoom.us/j/96495890729?pwd=VUhKZWFKbXBGLy9LVjlJalRsL2RBdz09 Passcode: SIAM Abstract: Join Tracie Ellis, Vice President Business Analytics at Bandwidth, for an informal discussion about her team’s role in creating a data-driven culture at Bandwidth, a software/telecommunications…

Dustin Kapraun, EPA, SIAM Mathematics in Industry Series

Zoom

Dustin Kapraun attained degrees in mathematics (B.S., 1998), physics (M.S., 2002), and applied mathematics (Ph.D., 2014), all from North Carolina State University. After finishing the Ph.D., he completed two postdoctoral…

MATLAB Tutorial, SIAM Student Chapter part 1

LMP 218

The first SIAM event of the semester will be a MATLAB tutorial! This will be a two-part series, starting from the basics of MATLAB coding and building further into more…