(734)936-0269
Applications: Complex Systems, Computer Science, Networks, Transportation Research Methodologies: Computational Tools for Data Science, Decision Science, Dynamical Models, Optimization, Real-time Data Processing Relevant Projects:

DARPA

Connections:

IEEE Control Systems Society Technical Committee on Computational Aspects of Control System Design (TC-CACSD)

Necmiye Ozay

Assistant Professor, Electrical Engineering and Computer Science, College of Engineering

Necmiye Ozay, PhD, is Assistant Professor of Electrical Engineering and Computer Science, College of Engineering, at the University of Michigan, Ann Arbor.

Prof. Ozay and her team develop the scientific foundations and associated algorithmic tools for compactly representing and analyzing heterogeneous data streams from sensor/information-rich networked dynamical systems. They take a unified dynamics-based and data-driven approach for the design of passive and active monitors for anomaly detection in such systems. Dynamical models naturally capture temporal (i.e., causal) relations within data streams. Moreover, one can use hybrid and networked dynamical models to capture, respectively, logical relations and interactions between different data sources. They study structural properties of networks and dynamics to understand fundamental limitations of anomaly detection from data. By recasting information extraction problem as a networked hybrid system identification problem, they bring to bear tools from computer science, system and control theory and convex optimization to efficiently and rigorously analyze and organize information. The applications include diagnostics, anomaly and change detection in critical infrastructure such as building management systems, transportation and energy networks.