Past Events
Mathematics for finding the right dose: my journey from academia to the pharmaceutical industry
Friday, Nov. 1, 2024, 1:25 p.m. through Friday, Nov. 1, 2024, 2:25 p.m.
Lind Hall 325 or Zoom
Industrial Problems Seminar
Marco Avila Ponce de Leon (Mathworks)
Formally verified AWS authorization
Friday, Oct. 25, 2024, 1:25 p.m. through Friday, Oct. 25, 2024, 2:25 p.m.
Lind Hall 325 or Zoom
Industrial Problems Seminar
Sean McLaughlin (Amazon Web Services)
Body Composition Analysis: Insights Through Regression and Machine Learning
Data Science Seminar
Nadia Drenska (Louisiana State University)
An Overview of Mathematics behind Semiconductor Technology
Friday, Oct. 18, 2024, 1:25 p.m. through Friday, Oct. 18, 2024, 2:25 p.m.
Lind Hall 325 or Zoom
Industrial Problems Seminar
Yue (Joey) Liu (Micron Technology)
Graph-based Semi-supervised and Unsupervised Local Clustering
Tuesday, Oct. 15, 2024, 1:25 p.m. through Tuesday, Oct. 15, 2024, 2:25 p.m.
Lind Hall 325 or via Zoom
Data Science Seminar
Zhaiming Shen (Georgia Tech)
The Impact of High-Performance Computing on Linear Solver Algorithms and Mathematical Software
Friday, Oct. 11, 2024, 1:25 p.m. through Friday, Oct. 11, 2024, 2:25 p.m.
Lind Hall 325 or Zoom
Industrial Problems Seminar
Ulrike Meier Yang (LLNL)
On efficient, approximate sampling for high dimensional scientific computing
Tuesday, Oct. 8, 2024, 1:25 p.m. through Tuesday, Oct. 8, 2024, 2:25 p.m.
Lind Hall 325 or via Zoom
Data Science Seminar
Yifan Chen (New York University)
From academia to Industry. Old and new challenges and strategies.
Industrial Problems Seminar
Luis Duque Alvarez (Meta)
In-context learning of solution operators to linear elliptic PDEs
Tuesday, Oct. 1, 2024, 1:25 p.m. through Tuesday, Oct. 1, 2024, 2:25 p.m.
Lind Hall 325 or Zoom
Data Science Seminar
Frank Cole (University of Minnesota)
Applied Machine Learning and Computer Vision: Solving Industry Challenges in Consumer Products
Friday, Sept. 27, 2024, 1:25 p.m. through Friday, Sept. 27, 2024, 2:25 p.m.
Lind Hall 325 or Zoom
Industrial Problems Seminar
Sajad Vahedizade (3M)