# News

Oct 12, 2017, 12:00 PM

Among the speakers: New GGAM member, Dr. Shiqian Ma (Department of Mathematics). He works on theory and algorithms of optimization and its various applications in areas like machine learning, statistics, signal processing, image processing, bioinformatics, etc.

Aug 21, 2017, 3:36 PM

Professor Liu is committed to graduate education in the applied mathematical research areas. In particular, she is interested in the area of data-driven resource management and control, where she uses machine learning and optimization techniques to improve the performance of networks.

Aug 1, 2017, 12:00 PM

GGAM Faculty members received prestigious awards. Jesús De Loera received the 2017 MAA Golden Section Teaching Award. James Bremer was named a 2016–17 UC Davis Chancellor's Fellow. Terry Nathan received the 2016 Award for Excellence in Graduate Mentoring. Phillip Rogaway received the 2016 Levchin Prize.

May 4, 2017, 9:59 PM

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.

Apr 2, 2017, 7:19 PM

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.

Feb 17, 2017, 4:47 PM

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.

Dec 2, 2016, 5:39 PM

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.