- September 18, 2019
More than 100 PhD students from electrical and bioengineering, data science, computer science, neuroscience and the social sciences, including some with disabilities, will be trained to use state-of-the-art data analytic methods and wearable computing technologies based on novel transdisciplinary competencies, applications and practice curriculum.
Research interests: Critical Infrastructure Protection (CIP), vulnerability assessments and mitigations, probabilistic risk evaluation and risk management, security engineering, blast modeling and mitigation of effects, facilities engineering, and facilities management.
Research Interests: Computer architecture support for security, malware detection, adversarial machine learning, and side channel attacks