Visual identification of structural flaws is quite valuable not only to predict an imminent collapse of a bridge, but also to determine effective precautionary measures and repairs.

This project features conception, design, and deployment of a wireless network of embedded devices, for monitoring the behavior of animals in the wild.  The system is being deployed and tested in biologically relevant scenarios.

Electricity usage of buildings (including offices, malls and residential apartments) represents a significant portion of a nation's energy expenditure and carbon footprint. Buildings are estimated to consume 72% of the total electricity production in the US. Unfortunately, however, 30% of this energy consumption is wasted. Virtual energy assessment is an approach that can optimize building energy efficiency and minimize waste at a low cost with minimal expert intervention.

This project is focused on the fundamental research in establishing a foundational framework towards the development of an autonomous Cyber-Physical System (CPS) through distributed computation in a Networked Control Systems (NCS) paradigm. Specific attention is focused on an application where the computational, and communication challenges are unique due to the sheer dimensionality of the physical system. An example of such CPS is the smart power grid, which includes large-scale deployment of distributed and networked Phasor Measurement Units (PMUs) and wind energy resources.

Traffic control management strategies have been largely focused on improving vehicular traffic flows on highways and freeways but arterials have not been used properly and pedestrians are mostly ignored. New urban arterial designs encourage modal shifts which gives further impetus to devise novel traffic control strategies to more quickly respond to changing conditions and salient events, while balancing safety and efficiency for all users.

This project is to develop dynamical models of distributed computation systems that are resilient to noise, unreliable communication and other source uncertainty. The key idea is centered on the development of optimization systems. These are dynamical systems that (solve) stabilize around the optimal solution of a (static) convex optimization problem. If the optimization problem is separable, then the designed dynamic system decomposes into a set of locally interacting dynamic systems.

The objective of this project has been to apply the techniques developed for communications networks to collaborative, intelligent vehicles. The techniques are applied to a lane merge protocol that assists a driver who is merging between two vehicles in an adjacent lane. The previous work that has been reported on this project includes: a multiple stack, layered architecture; a strategy for using synchronized clocks; and the probabilistic verification of protocols. 

Future CPS will include large, decentralized systems of semi-autonomous sensor and actuator components, and will need to operate safely beyond human response times. One current datarich example is the U.S. network of electronic exchange networks which is the largest and fastest network CPS in existence, but is already known to produce a wide variety of sub-second instabilities that are little understood and which impact safety, efficiency and accuracy. Urgent questions facing such CPS systems are therefore: When do extreme and hence potentially

SCALE (Safe Community Awareness and Alerting) is a  Global Cities Challenge Project with  multiple deployments, the primary one being in  in Montgomery County, Maryland.  SCALE2 is a community government/academic/industry partnership effort that aims to deploy, actuate and evaluate techniques to support multiple heterogeneous IoT technologies in real world communities. Through SCALE, significant public benefits can be enabled in the areas of emergency preparedness/response at the individual and community scale.