Joel A. Tropp Named 2019 SIAM Fellow
Joel A. Tropp, Steele Family Professor of Applied and Computational Mathematics has been elected to the 2019 class of Society for Industrial and Applied Mathematics (SIAM) fellows. He was nominated for his exemplary research as well as outstanding service to the community. He is being recognized for contributions to signal processing, data analysis and randomized linear algebra.
AWS and Caltech Partner to Accelerate AI and Machine Learning
From autonomous robotics to state of-the-art computer vision, Caltech and Amazon have a lot in common, including the belief that pushing the boundaries of artificial intelligence (AI) and machine learning (ML) will not only disrupt industries, but it will fundamentally change the nature of scientific research. As part of this two-year renewable research collaboration, Amazon will provide both financial support, in the form of funding for graduate fellowships, and computing resources, in the form of AWS Cloud credits, to accelerate the work of faculty and students at Caltech in these areas. [AWS AI Blog]
Professor Tropp Receives Pioneer Award
Joel A. Tropp, Professor of Applied and Computational Mathematics, will receive the Compressive Sampling Pioneer Award at this year’s International Society for Optics and Photonics - Defense Security and Sensing conference (SPIE. DSS). He is one of the first researchers to contribute to the field of sparse approximation, which is also known as compressive sampling. At the conference he will give a presentation on sampling theorems for structured signals, based on his paper entitled “Living on the Edge.”
The Thomson Reuters compilation of the most highly cited researchers— those in the top 1%—from the period 2002–2012 include EAS professors Harry Atwater, Richard Murray, Joel Tropp, John Seinfeld, Kerry Vahala, and Paul Wennberg. Other Caltech professors were also among the top 1%—including Colin Camerer, Mark Davis, Richard Ellis, William Goddard, Robert Grubbs, Hiroo Kanamori, Jeff Kimble, John O’Doherty, and Charles Steidel. This compilation aims to identify researchers with exceptional impact on their respective fields. [Detailed information on the methodology]