funding

UConn Receives $8 Million to Continue Air Force Research Lab Project in Advanced Manufacturing

Posted on February 11, 2021 by Atkinson, Cassidy

September 1, 2020

The University of Connecticut has received an $8 million contract from the Air Force Research Laboratory (AFRL) to continue productive research aimed at improving aerospace manufacturing processes.

Read the full story here.

Congratulations Dennis & Uche for Receiving MLSE Travel Awards

Posted on May 10, 2019August 10, 2019 by

The second-annual MLSE conference highlights advances in research that utilize methods of artificial intelligence, the development of new machine learning algorithms designed for science and engineering problems, and the ways these methods lead to innovations across various fields. Researchers from academia, government, and industry will gather to explore the future of research in science and engineering.

On May 10, 2017, an internal symposium known as Machine Learning in Science and Engineering was held at Carnegie Mellon University to identify ways in which these computational tools are advancing diversity in several fields. Based on the strong response at CMU, an open conference was held on June 6–8, 2018 at the CMU campus in Pittsburgh in partnership with Georgia Tech.

This conference surveyed advances in basic research that utilizes methods of artificial intelligence, the development of new machine learning algorithms designed for science and engineering problems, and ways that these methods are leading to innovations across these fields. Researchers from academia, government, and industry participated in a unique and fascinating forum on the future of research and innovation in science and engineering.

http://dsf.ideas.gatech.edu/events/mlse

Our research group was awarded a $5.4 million R&D contract by the AFRL

Posted on March 15, 2019April 15, 2019 by Heike Brueckner

Alpay’s research group, in collaboration with Hebert’s research group and other researchers, will work to provide the next generation manufacturing solutions for the aerospace sector. The project, titled “Simulation-Based Uncertainty Quantification of Manufacturing Technologies,” will help the U.S. Air Force develop more efficient manufacturing processes. The goal is to understand each and every step of the manufacturing process to eliminate failures in specialized aerospace parts. Better understanding the manufacturing process will lead to reduced costs, improved component and system quality, and enhanced industrial capability.

https://today.uconn.edu/2019/03/uconn-receives-major-contract-air-force-rd-advanced-manufacturing/