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

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

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.

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.

Nicole Yunger Halpern brings a vast intellectual curiosity to physics, from tackling abstract theory to collaborating with experimentalists, all the while drawing distinct connections between diverse disciplines of physics.

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.