Abstract: Parking can take up a significant amount of the trip costs (time and money) in urban travel. As such, it can considerably influence travelers' choices of modes, locations, and time of travel. The advent of smart sensors, wireless communications, social media and big data analytics offers a unique opportunity to tap parking's influence on travel to make the transportation system more efficient, cleaner, and more resilient.

Abstract:

Abstract: As part of our CPS project, we have focused on the problem of model repair for cyber-physical systems. This work involves identifying constraints caused due to physical components during revision. We consider four types of constraints cyber-cyber, cyber-physical, physical-cyber and physical-physical. Based on the complexity limitations caused by these constraints we are developing efficient heuristics to mitigate the cost of model repair. We have also focused on extending revision to code level.

Abstract: Our overall aim in this project is to synthesize desired behaviors in populations of bacterial and mammalian cells. To this goal, we define the basis of a next-generation CPS called biological CPS (bioCPS). The enabling technologies are synthetic biology and micron-scale mobile robotics. Synthetic gene circuits for decision making and local communication among the cells are automatically synthesized using a Bio- Design Automation (BDA) workflow.

Abstract: The overall research objective of the project is to establish and demonstrate a generic motion sensing co-design procedure that significantly reduces the complexity of mission design for swarming CPS, and greatly facilitates the development of effective and efficient control and sensing strategies.

Abstract: The research objective of this project is to bridge two disparate paths to the control of hybrid dynamical systems—namely, symbolic model-based and Lyapunov analysis-based approaches—via convex programming in order to address major challenges in hybrid control. The primary goal is to establish nonconservative, robust, and scalable control theories and algorithms for verifying/achieving desired stability and performance bounds for hybrid affine systems.

Overview: The existence of complex interactions and interdependencies in cyber-physical critical infrastructures is well known, but a poorly understood phenomena. As an example, a smart grid (SG) is dependent on the cyber infrastructure for advanced metering, data collection/analytics and control, and this dependency brings in serious security and vulnerability implications.

Abstract:

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 (mobile physical agents).  Figure 1 shows the architecture of the proposed CPS framework for the observation and control of truck loads imposed on highway bridges.  While many accomplishments have been achieved during the first year of the project, this poster pres

Abstract: This highly interdisciplinary research addresses two fundamental challenges in image sensing and image understanding: 1) versatile camera systems in a small form factor, and 2) 3-dimensional scene and object recognition from 2-dimensional photos. These fundamental challenges are tackled together by developing a cyber-physical imaging system, called a smart flexible camera sheet, which integrates an array of many micro-cameras (each millimeters in size) onto a thin substrate.