News: Uncategorized

Carey Priebe awarded an IMS Fellowship

May 22, 2020

We are pleased to share with you the news that Carey Priebe, professor in the Department of Applied Mathematics and Statistics, has been elected as a Fellow of the Institute of Mathematical Statistics, a recognition of his outstanding research and leadership in the field of statistics. Carey’s research focuses on computational statistics, kernel and mixture […]

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Nicolas Charon receives NSF Career Award

February 6, 2020

Congratulations Nicolas. Assistance Professor Nicolas Charon is a recipient of the National Science Foundation’s Early CAREER Award. Nicolas’s research focuses on shape analysis and its applications to medical imaging and computational anatomy. His five-year CAREER award will support his project, “Shape Analysis in Submanifold Spaces: New Directions for Theory and Algorithms,” which will investigate ways […]

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Data science in the city: How research, data can drive solutions to pervasive urban problems

November 15, 2019 One collaboration featured at the symposium was an ongoing project to track vacant properties in the city, a team effort co-led by the Housing Authority of Baltimore City and Johns Hopkins engineers. Tamás Budavári, the Whiting School professor who leads that’s program’s research, has been described in Wired as “the astrophysicist who wants to help solve Baltimore’s urban blight.”  

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Optimization Letters Best Paper Award for 2018

November 4, 2019

Pavlo A. Krokhmal Oleg A. Prokopyev   Dear Colleagues: It is our pleasure to announce that the following paper was named the winner of the 2018 OPTL Best Paper Award: Frank E. Curtis, Zachary Lubberts, Daniel P. Robinson (2018), Concise complexity analyses for trust region methods, Optimization Letters 12(8), 1713-1724. Abstract: Concise complexity analyses are […]

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Simons Foundation grant supports Eyink’s work untangling fluid turbulence

September 18, 2019

With $4 million in support from the New York-based Simons Foundation, an international team of researchers including Gregory Eyink of Johns Hopkins Engineering’s Department of Applied Mathematics and Statistics is embarking on a study aimed at understanding fluid turbulence from a physics perspective. “Our hope is that this collaboration will help to generate fundamental new […]

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