Symposium Winter 2021

/ January 21, 2021

The 2021 MINDS Symposium on the Foundations of Data Science will be held on January 28, February 9 & February 10 virtually over Zoom. Leading data science researchers will discuss the importance of data science in their fields and the continued need for advancement. Confirmed Speakers Agenda

Prof. Laurent Younes named a Fellow of the American Mathematical Society

/ January 8, 2021

Congratulations to MINDS Professor Laurent Younes, who has been named a Fellow of the American Mathematical Society, which recognizes members who have made outstanding contributions to the creation, exposition, advancement, communication, and utilization of mathematics. More information can be found here.

Prof. Rama Chellappa named to National Academy of Inventors

/ December 8, 2020

Congratulations to MINDS Bloomberg Professor Rama Chellappa, who has been elected a fellow of the National Academy of Inventors (NAI), a distinction that recognizes and honors academic inventors who have created or facilitated outstanding inventions that have had an impact on society. Five total Johns Hopkins faculty members were awarded the

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MINDS Winter School and Workshop 2021

/ December 8, 2020

2021 TRIPODS Winter School & Workshop on Graph Learning and Deep Learning This event aims to bring together experts in machine learning, statistical inference and learning on graphs, and optimization to share basic principles, recent research results, and practical ideas, on the foundations of graph and deep learning. A series of tutorials

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Yannis Kevrekidis named to National Academy of Engineering

/ October 23, 2020

Johns Hopkins chemical and biomolecular engineer Yannis Kevrekidis has been named to the National Academy of Engineering, a career distinction that recognizes the most accomplished engineers in the world. He is among 87 new members and 18 international members selected for the honor this year. Established in 1964, the NAE is made up of

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MINDS awarded NSF-Simons Foundation’s Research Collaborations on the Mathematical and Scientific Foundations of Deep Learning (MoDL)

/ September 2, 2020

The $10 million, five-year award titled “Collaborative Research: Transferable, Hierarchical, Expressive, Optimal, Robust, and Interpretable NETworks (THEORINET)” will support René and his team in developing a mathematical, statistical and computational framework that will explain the success of current deep network architectures, understand its pitfalls, and guide the design of novel architectures

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