- Department Overview
- Computer Science Programs
- Student Opportunities
- Faculty and Staff
- News and Events
Computer Science has three primary research strengths, Cyber Security, Data Science, and Cyber-Physical systems.
Cyber Security: Eight T/TT faculty and one NTT research each have at least a 50% commitment to work in cybersecurity. This work is funded by NSF, NIST, AFRL, DOE, and some industrial support. The department leads a $3M Scholarship for Federal service grant targeted on US Ph.D. student production. Additionally, $867K in NSF funding is held by three faculty over three active projects.
Computer Security is a growing field encompassing both confidentiality and integrity threats to computer and engineered systems and preserving privacy and anonymity. Research themes are secure and privacy-preserving operations in cyber-physical infrastructure and mobile systems, enterprise IT security, cloud, edge, and sensor security. The campus is an NSA/DHS Center of Academic Excellence in Information Assurance, primarily led by Computer Science with participation by Computer Engineering and the Computer Science curriculum maps to the NICE standards. A graduate certificate in computer security is offered via streaming distance.
Data Science: Four T/TT and 2 NTT Teaching faculty have at least a 50% commitment in Data Science. The work is funded by NSF, Dept of Transportation, DOE, and some industrial support ($1.7M). Recent awards to junior faculty have increased this figure.
Data science is a growing field of understanding the world through data mining and deep learning and reasoning/artificial intelligence. Research Themes are Urban Infrastructures, Image Analysis and Computer Vision, Machine learning, Real-time scheduling, Heuristic Problem Solving.
Cyber-Physical Systems: Four T/TT faculty have at least a 50% commitment in Cyber Physical Systems (CPS). This work is primarily through NSF, NIST, and AFRL ($1.6M). Recent awards to junior faculty have increased this figure.
CPS plays a major role on an engineering campus. Departmental strengths include sensing, smart grid, and real-time systems.