*********************************
There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
*********************************
Atlanta, GA | Posted: March 4, 2019
Summary Sentence:
Three SoM professors have received the coveted NSF CAREER grant.
Full Summary:
No summary paragraph submitted.
career_slideThe Faculty Early Career Development (CAREER) Program is a Foundation-wide activity that offers the National Science Foundation's most prestigious awards in support of early-career faculty who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization.
This year, three more SoM professors have been granted this coveted award, increasing the number CAREER awards to SoM professors to 22 awards since the creation of the award in 1997. This years winners are:
Professor Yao is an Assistant Professor in SoM, whose interests include mathematical analysis of nonlinear PDEs arising from fluid mechanics and mathematical biology, who has also been involved with research experiences for undergraduates (REU) programs.
Professor Nitzan is an Assistant Professor in SoM and works in harmonic analysis, an area of mathematics that is of much interest in natural sciences and engineering, including in sound and image processing, wireless communications and data transmission, methods in quantum mechanics and quantum computing, and the analysis of signals in geophysics and medicine.
Assistant Professor Molei Tao's research is primarily concerned with control systems characterized by multiple scales, geometric structures, and randomness. Prof. Tao's group addresses both scientific curiosity and engineering practicality, from studying extrasolar and Solar planetary dynamics, the engineering problems of energy transfer and harvest, rare events quantification, the resonant control of microscopic systems, to the interplay between dynamics and machine learning.
