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
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.
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
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 and hands-on sessions will be virtually presented over the first week, followed
The first ever meeting in Latin America held on Artificial Intelligence took place in Montevideo, Uruguay in November 2019. To view a video overview of the conference please click here.
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
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
Congratulations to Prof. Rama Chellappa for being named this year’s recipient of IEEE’s Jack S. Kirby Signal Processing Medal “for contributions to image and video processing, especially applications to face recognition.” The awards this year were presented in the form of short online videos honoring each recipient and their contributions. Please click
A list with links to the accepted papers that will be presented at ICML 2020 follows: Schatten Norms in Matrix Streams: Hello Sparsity, Goodbye Dimension Coresets for Clustering in Graphs of Bounded Treewidth On the Noisy Gradient Descent that Generalizes as SGD FetchSGD: Communication-Efficient Federated Learning with Sketching Obtaining Adjustable Regularization
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 estimates, statistical pattern recognition, dimensionality reduction,