Abstract: Recent years have seen medical devices go from being monolithic to a collection of integrated systems. Modern medical device systems have thus become a distinct class of cyber-physical systems called Medical Cyber Physical Systems (MCPS), featuring complex and close interaction of sophisticated treatment algorithms with the physical aspects of the system, and especially the patient whose safety is of the utmost concern. The goal of this project is to develop a new paradigm for the design and implementation of safe, secure, and reliable MCPS, which includes:

Abstract: Telerobotic systems, such as those used in rescue operations, remotely-operated vehicles or the next-generation robotic surgery, human operators interact with robots through a communi- cation network.

Abstract: Transforming the traditional, single-vehicle-based safety and efficiency control, next-generation vehicles are expected to form platoons for optimizing roadway usage and fuel efficiency while ensuring transportation safety. Two basic enablers of vehicle platooning are vehicular wireless networking and platoon control.

Abstract: Scientific challenges: How can multiple cooperative cyber-physical systems communicate and coor- dinate to accomplish complex high-level tasks within unknown, dynamic and adversarial environments?

Abstract: The objective of this study is to develop a high-performance and robust neural-machine interface (NMI) for artificial legs, which can accurately and reliably identify user intent in real-time.

Abstract: Cyber-Physical Systems (CPS) are deployed in a wide variety of safety critical applications from avionics, medical, and automotive domains. For these applications, it is essential to create a precise specification and formally verify that the implementation behaves as specified. The formal verification of these systems presents a wide variety of challenges. Models of these systems must represent the physical world, analog sensors and actuators, computer hardware and software, networks, and feedback control.

Abstract: Motivation: Energy infrastructure is a critical underpinning of modern society. To ensure its reliable operation, a nation-­‐wide or continent-­‐wide situational awareness system is essential to provide high-­‐resolution understanding of the system dynamics such that proper actions can be taken in real-­‐time in response to power system disturbances and to avoid cascading blackouts. The power grid represents a typical highly dynamic cyber-­‐physical system (CPS).

Abstract: INSIGHT, an innovative GK-12 STEM Fellowship Program integrates sensor technology with computing and information science in a standards-based science, technology, and engineering curricula. GK-12 STEM Fellows are teamed with science, technology, and physical education teachers for two years to carry out hands-on classroom activities utilizing technology and engineering practice with a focus on the use of sensors, computing, and information technology aligned with state curriculum standards.

Abstract: Our overarching goal is to develop a framework for design automation of cyber‐physical systems that augment human‐in‐the‐loop inference and interaction by complex systems operating at the interface of computation and physical environment.

Abstract: The objective of this research is to develop new principles for creating and comparing models of skilled human activities, and to apply those models to systems for teaching, training and assistance of humans performing these activities. The models investigated will include both hybrid systems and language-based models. The research will focus on modeling surgical manipulations during robotic minimally invasive surgery. Models for expert performance of surgical tasks will be derived from recorded motion and video  data.