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His research interests were broad and included scientific computing and algorithms related to applied mathematics, fluid mechanics, acoustics, electromagnetism, plasma physics, nanoscience, and more.

He says the journal has sparked his interest on numerous new ideas and concepts related to algorithms.

He was specifically recognized for his contributions to cryptographic protocol design and cryptography education.

The computer science graduate student specializes in affective computing—the study and development of intelligent systems that can understand, interpret and respond to human emotions and behavior.

The initiative's goal is to create a robust and accessible pool of qualified cyber professionals that can assist CYBERCOM in its mission of defending critical U.S. information networks.

The project was one of five that received seed funding from the UMD Brain and Behavior Institute this year.

The annual award recognizes a doctoral thesis that shows great potential and aligns with the scientific mission of Drones, an international open-access journal.

MC2 researchers have been recognized for their analysis of malware behavior in the first large-scale study of its kind.

The researchers were recognized for their work involving quantum optimization.

It was recognized as the best paper presented at SafeRL, a workshop that was part of the 35th Conference on Neural Information Processing Systems (NeurIPS), held virtually from December 6–14.