The 36th IEEE Real-Time Systems Symposium (RTSS'15) sponsored by the IEEE Computer Society Technical Committee on Real-Time Systems

Thirteenth IEEE International Conference on Pervasive Computing and Communications (IEEE PerCom 2015) http://www.percom.org St. Louis, Missouri, USA | March 23 - 27, 2015 Sponsored by: IEEE Computer Society (IEEE TCCC, IEEE TCPP) National Science Foundation Pervasive and Mobile Computing Journal (Elsevier) Missouri University of Science and Technology, Rolla, USA       *** Registration Details ***

The NSF cyberinfrastructure ecosystem presented an aggregate of complex cybersecurity needs (e.g., scientific data and instruments, unique computational and storage resources, complex collaborations) as compared to other organizations and sectors. This community had a unique opportunity to develop information security practices tailored to these needs, as well as break new ground on efficient, effective ways to protect information assets while supporting science.

The goal of this workshop was to bring together, for the first time, American and Brazilian cyber security researchers to discuss the main challenges of the field, and to promote cross-collaboration and the building of ties among the attendees. This workshop promoted innovation in solving cyber security and privacy problems, by having the top researchers in each country, from several sub-fields sharing their research and brainstorming solutions for open problems in the area.

Abstract: The use of robots in society could be expanded by using reinforcement learning (RL) to allow robots to learn and adapt to new situations on-line. RL is a paradigm for learning sequential decision making tasks, usually formulated as a Markov Decision Process (MDP). For an RL algorithm to be practical for robotic control tasks, it must learn in very few samples, while continually taking actions in real-time. In addition, the algorithm must learn efficiently in the face of noise, sensor/actuator delays, and continuous state features.

Abstract: Securing critical networked cyber-physical systems (NCPSs) such as the power grid or transportation systems has emerged as a major national and global priority. The networked nature of such systems renders them vulnerable to a range of attacks both in cyber and physical domains as corroborated by recent threats such as the Stuxnet virus.

Abstract: The goal of this research project is to create a scalable and robust cyber-physical system (CPS) framework for the observation and control of the functional interdependencies between bridge structures (stationary physical systems) and trucks, vehicles and human inspectors (mobile physical agents). Figure 1 shows the SHM-based CPS framework that is built around demonstration highway bridges with permanent wireless bridge monitoring system installed.