UCLA Math PhD students James Chapman, Bohan Chen, and Zheng Tan were awarded ‘Best Student Paper’ for the Algorithms for Synthetic Aperture Radar Imagery XXX workshop at the 2023 SPIE Defense + Commercial Sensing Conference.
Alongside their mentors UCLA Math Professor Andrea Bertozzi, University of Minnesota Professor Jeff Calder, and UCLA PhD graduate Kevin Miller, they researched and published the paper titled, Novel batch active learning approach and its application to synthetic aperture radar datasets. The full paper and presentation is available to view here.
SPIE is an international society for optics and photonics that focuses on strengthening the global optics and photonics community through conferences, publications, and professional development. Their core mission is to bring together engineers, scientists, students, and industry leaders to advance light-based science and technologies.
This year’s SPIE Defense + Commercial Sensing 2023 Conference took place from April 30th to May 4th at Orlando, Florida. The SPIE DCS is now accepting paper submissions for next year’s conference scheduled for April 21st to 25th, 2024 at National Harbor, Maryland.
View the SPIE DCS 2023 awards announcement here.
Learn more about SPIE and their mission at https://spie.org/