News and Announcements
He develops mathematical theories and algorithms to solve inverse problems arising from signal processing, wireless communication and image processing. A total of three prizes is awarded this year by the Society for Industrial and Applied Mathematics (SIAM). Shuyang's prize is for his paper "Self-calibration and biconvex compressive sensing", coauthored with his advisor, Prof. Thomas Strohmer.
The Society for Industrial and Applied Mathematics (SIAM) has just announced the 2017 Class of SIAM Fellows, among them Prof. Zhaojun Bai, Professor of Computer Science and Mathematics, who is recognized for significant contributions to numerical linear algebra, eigenvalue computation in particular, and its application to computational science and engineering.
The GGAM Mini-Conference 2017 took place on February 16. Three speakers, Professors Miles Lopes, Xiaodong Li, and Patrice Koehl, presented their research. Two poster sessions were held, in which graduate students presented their applied mathematics research. The poster session and the following reception were also an opportunity for visiting prospective graduate students to learn about the research activities in GGAM.
Dr. Rademacher works in theoretical computer science and some related areas. He is primarily interested in the foundations of data science and artificial intelligence and this has lead to a focus on problems in convex geometry, machine learning, matrix computations and optimization. Dr. Rademacher received his Ph.D. in mathematics from the Massachusetts Institute of Technology. He has received an NSF CAREER award.
He gave plenary talks at the IEEE Information Theory Workshop in Cambridge in September and at the 50th Annual Asilomar Conference on Signals, Systems, and Computers Conference in November; earlier this year, in May, he gave a plenary talk at the SIAM Conference on Imaging Science.
Topics: GGAM member Prof. Kevin Luli receives NSF CAREER award; 2009 Applied Math Ph.D. Deanna Needell receives 2016 IMA Prize, joins UCLA faculty; new faculty and researchers; research highlight by Naoki Saito: "Analyzing Data on Graphs and Networks"; emeritus focus by Roger Wets: "A Treasure Trove of Fundamental Questions"; department awards.
The Computational Infrastructure for Geodynamics (CIG) develops open-source software for modeling and solving scientific problems in solid-Earth geophysics. CIG facilitates use of high-performance computing in collaboration with national computing facilities. This creates cutting-edge research opportunities for applied mathematics students.
