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: Additive Manufacturing, advanced materials, failure mechanics

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: 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: 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: Integration of advanced data analytics, and complex system simulation in construction management and infrastructure systems.