News & Announcements

Colwell Reflects on Global Water Issues

Nov 04, 2019 - She recently gave the keynote address at a campus forum discussing the health of the Chesapeake Bay.

Roy Receives 2019 CSL Thesis Award

Oct 30, 2019 - The award is bestowed annually to a researcher whose doctoral thesis makes advances in a disciplinary area that has an interdisciplinary angle.

Shneiderman and Varshney Inducted into IEEE Visualization Academy

Oct 23, 2019 - It is considered the highest and most prestigious honor in the field of computer visualization.

Cukier Appointed to the Maryland Cybersecurity Council

Oct 23, 2019 - The Council was created by the Maryland General Assembly in 2015 and is charged with reviewing the state’s cyber readiness and developing a comprehensive plan to respond to and recover from attacks.

HCIL Researchers Present Eight Papers at VIS 2019

Oct 22, 2019 - The conference is considered the premier forum for the latest advances in theory, methods and applications related to computer visualization.

Tokekar Using Robots to Collect Important Data

Oct 14, 2019 - He's working in an area of robotics research he identifies as “3D problems”—robots doing jobs that can be dull, dirty and dangerous.

Hicks Wins NSA’s Annual Best Scientific Cybersecurity Paper Competition

Oct 02, 2019 - Hicks helped lead a team of researchers to victory in the National Security Agency’s 7th Annual Best Scientific Cybersecurity Paper Competition.

Rising Stars in Machine Learning Talk Features Gintare Karolina Dziugaite

Oct 01, 2019 - Her research combines theoretical and empirical approaches to understanding deep learning.

Hartree Fellows Add Scientific Strength to UMD’s Quantum Efforts

Sep 25, 2019 - The program recruits talented postdocs interested in quantum information science to work at UMD for up to three years.

Rising Stars in Machine Learning Talk Features Adji Bousso Dieng from Columbia University

Sep 25, 2019 - Her research involves combining probabilistic graphical modeling and deep learning to design models that are expressive and powerful enough to capture meaningful representations of high-dimensional structured data.

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