The grant will support his efforts to develop a comprehensive and fundamental understanding of robust machine learning algorithms against both natural and adversarial threats.
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 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 annual award recognizes a doctoral thesis that shows great potential and aligns with the scientific mission of Drones, an international open-access journal.
