Abstract:

Abstract: Cyber-physical systems (CPS) have become increasingly prevalent in applications including health care, energy, and transportation. The tight coupling between cyber and physical components of CPS implies that cyber attacks can degrade the safety, availability, and performance of physical components. The cyber components also introduce multiple entry points to the CPS, lowering the cost of attacks compared to purely physical systems.

Abstract: One defining feature of cyberphysical systems is the fact that human users are closely intertwined with the physical system. Yet both the system and users themselves are often do not explicitly know how users would behave. A natural question arises: How do we design cyberphysical systems that effectively learn about their users, and optimize system behavior accordingly? This poster presents the idea of active regression as a vehicle to learn about users.

Abstract: Telerobotic systems are cyber‐physical systems where human operators and robots exchange information using a combination of publicly available communication networks and temporary ad‐hoc wireless and satellite networks.

Abstract:  This project designs algorithms for the integration of plug-in hybrid electric vehicles (PEVs) into the power grid. Specifically, the project will formulate and solve optimization problems critical to various entities in the PEV ecosystem -- PEV owners, commercial charging station owners, aggregators, and distribution companies -- at the distribution / retail level.

Abstract: The main goal of this project is to design algorithms and architectures for large scale integration of electrical vehicles in power grids. In particular the following topics will be explored: