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. 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.
Interested in discussing the research we are working on or learning more? Please contact:
Director of Professional Graduate Programs and Associate Teaching Professor
Introduction to Programming with C++, Data Structures, Discrete Mathematics For Computer Science, and Algorithms
Cyber-Physical-Human Systems; Statistical Inference & Machine Learning; Nudge & Persuasion; Security, Fairness, Transparency and Trust