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.

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

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

The grant will support his efforts to develop a comprehensive and fundamental understanding of robust machine learning algorithms against both natural and adversarial threats.

The two-year fellowships offer an opportunity to work closely with MC2 faculty and graduate students in multiple areas of cybersecurity and privacy.

The funding will support his work on the generation and use of synthetic datasets to improve the accuracy of machine learning methods.

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

Machine Learning Researchers’ Algorithm Could Help Increase Global Supply of a Precious Resource

First-year doctoral student Elizabeth Bennewitz is one of 45 finalists with a chance of receiving up to $250,000 in support from the Fannie and John Hertz Foundation.