Scholarly Colloquia and Events

  • 4/10 UTC-IASE Seminar Series: Nick Sahindis

    Join us on Monday, April 10th, 2017 for a UTC-IASE seminar with presenter, Nick Sahindis from 1:00-2:00PM in the Information Technology and Engineering Building (ITE) in room 336. This seminar is entitled as: The ALAMO Approach to Machine Learning: Best Subset Selection, Adaptive Sampling, and Constrained Regression. Food and Refreshments will be provided.

    For more information, contact: UTC-IASE at utc-iase@engr.uconn.edu