The objective of this research is considering security and timing as primary concerns, re-envisioning computer architecture and network algorithms to provide a robust foundation for CPS. The approach is rethinking the hardware and software divide, providing true process concurrency and isolation. Extending these benefits to the communication network so integral to CPS, multicast and security innovations that consider CPS constraints will be proposed. This project will provide computational and communication foundations for CPS through the following tasks.

The objective of this research project is to achieve fundamental advances in software technology that will enable building cyber-physical systems to allow citizens to see the environmental and health impacts of their daily activities through a citizen-driven body-worn mobile-phone-based commodity sensing platform. The approach is to create aspect-oriented extensions to a publish-subscribe architecture, called Open Rich Services (ORS), to provide a highly extensible and adaptive infrastructure.

The objective of this research is the development of methods for the control of energy flow in buildings, as enabled by cyber infrastructure. The approach is inherently interdisciplinary, bringing together electrical and mechanical engineers alongside computer scientists to advance the state of the art in simulation, design, specification and control of buildings with multiple forms of energy systems, including generation and storage. A significant novelty of this project lies in a fundamental view of a building as a set of overlapping, interacting networks.

The objective of this research is to study active sensing and adaptive fusion using vision and acoustic sensors for continuous, reliable fall detection and assessment of fall risk in dynamic and unstructured home environments.

The objective of this research is to meet the urgent global need for improved safety and reduced maintenance costs of important infrastructures by developing a unified signal processing framework coupling spatiotemporal sensing data with physics-based and data-driven models.

The objective of this research is to develop methods to monitor and ensure the robustness of a class of cyber-physical systems termed "physical networks," such as electric, water, sewage, and gas networks. The approach is to analyze such networks using the mathematical formalism of graphical models. The project models a physical network as a graph, whose variables have a concrete physical interpretation, such as voltage, satisfying known physical laws, such as Kirchoff laws.

The objective of this research is to scale up the capabilities of fully autonomous vehicles so that they are capable of operating in mixed-traffic urban environments (e.g., in a city such as Columbus or even New York or Istanbul). Such environments are realistic large-city driving situations involving many other vehicles, mostly human-driven. Moreover, such a car will be in a world where it interacts with other cars, humans, other external effects, and internal and external software modules.