Abstract: Managing and processing big amounts of data typically consumes large amounts   of   energy   and   computing   time.  These   type   of   problems frequently occur in modern data centers. To solve this problem we can utilize  parallel  computing  which  is  the  most  used  way  to  carry  out, manage and proces data faster. It is necessary to locate techiniques for energy efficient computation.

Abstract: Wireless body area sensing networks (WBANs) have the potential to revolutionize health care in the near term and enhance other application domains including sports, entertainment, military and emergency situations. These WBANs represent a novel cyber-physical system that unites engineering systems, the natural world and human individuals.

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: Until now, the "cyber" component of automobiles has consisted of control algorithms and associated software for vehicular subsystems designed to achieve one or more performance, efficiency, reliability, comfort, or safety (PERCS) goals, primarily based on short-­term intrinsic vehicle sensor data. However, there exist many extrinsic factors that can affect the degree to which these goals can be achieved.

Abstract: Many practical barriers continue to exist for a blind individual who strives to live an independent and active life, despite decades of development of assistive technologies. This project addresses the following two most prominent challenges: (1) disparity in information-sharing among people with visual impairment and its limited understanding by the research community; and (2) lack of methods and tools for effectively addressing the disparity.

Abstract: The PIs are developing their novel modeling paradigm, Generalized Synchronization Trees (GSTs), into a rich framework for both describing cyber-physical systems (CPSs) and studying their behavior under interconnection. GSTs were inspired by Milner’s use of Synchronization Trees (STs) to model interconnected computing processes, but GSTs generalize the mathematical structure of their forebears in such a way as to encompass many classes of CPSs.

Abstract: Cyber-physical systems regulating critical infrastructures, such as electrical grids and water networks, are increasingly geographically distributed, necessitating communication between remote sensors, actuators and controllers. The combination of networked computational and physical sub- systems leads to new security vulnerabilities that adversaries can exploit with devastating consequences.

Abstract: Cyber-Physical Systems (CPS) are being increasingly deployed in critical infrastructures such as electric-power, water, transportation, and other networks. These deployments are facilitating real-time monitoring and closed-loop control by exploiting the advances in wireless sensor-actuator networks, the internet of “everything,” data-driven analytics, and machine-to-machine interfaces. CPS operations depend on the synergy of computational and physical components.

Abstract: The  electric  power  grid  is  a  critical  infrastructure  that  is  vulnerable  to  physical  and  cyber  attacks.   As a result, data describing grid topology and components is considered sensitive information. There is also increasing need to foster cooperation among the participants in microgrid-enabled electric marketplace.

Abstract: This project explores balancing performance considerations and power consumption in cyber-physical systems, through algorithms that switch among different modes of operation (e.g., low-power/high-power, on/off, or mobile/static) in response to environmental conditions. The main theoretical contribution is a computational, hybrid optimal control framework that is connected to a number of relevant target applications where physical modeling, control design, and software architectures all constitute important components.