College of Engineering and Computing

Christopher Carr is a leadership and policy wonk in diversity, higher education, and STEM (science, technology, engineering, and mathematics).

Research Interests: Financial mathematics, risk analysis, quantitative analysis, time series, biomedical applications.

Research Interests: Data science, statistics for big or high-dimensional data, simultaneous inference, multiple comparisons, selection bias, measurement errors, mixtures, causal inference, semi and nonparametric analysis, machine learning, biostatistics, random fields, crowdsourcing, EHR and Text analysis, the interface of statistics and computer science, and other interdisciplinary work.

Research Interests: Data science for social good, which aims to solve social problems through data-driven approaches.

Research Interests: Machine Learning, Urban Computing, Intelligent Transportation, Spatial-Temporal Data Mining and Prediction, Online Misinformation Mining and Detection

Research Interests: Computer architecture support for security, malware detection, adversarial machine learning, and side channel attacks

Research Interests: Local Search, Combinatorial Optimization, Metaheuristics, Software Testing

Research Interests: HCI, VR/AR

Research Interests: Databases and data mining

Research Interests: Cybersecurity, Internet protocols, Network measurements, network security