Networks
Networks make the whole greater than the sum of its parts. Social networks, computer networks, and transportation networks are all examples of networks that are deeply enmeshed into our lives. CISE investigates fundamental research questions in networks, such as network formation and evolution, and interaction between network agents (which may be selfish or malicious). The questions are addressed through advances in the fields of optimization, control, distributed algorithms, and game theory. The theoretical methods are complemented by experimental work, which include testing of IoT and 5G network systems, deployment of networks of autonomous agents (e.g., robots, drones, and connected vehicles), design of neural networks for deep learning, federation of cloud computing systems, and data-driven methods to detect and thwart malicious behavior on the Internet.
NeTS: Small: Understanding Communication Strategies for Ad hoc Networks
Ad-hoc networks hold great promise, but there is a vast array of competing proposals for organizing such networks. Unfortunately it is unclear, in general, how to choose among the various proposed designs in any given deployment. In response, this project is asking a fundamental question: how should a collection of nodes decide what basic architecture […]
TC: Large: Securing the Open Softphone
Mobile phones are in the midst of a dramatic transformation; they are becoming highly powerful sensor-rich software-controlled computing and communication devices. These “softphones” are increasingly entrusted with maintaining users’ electronic identity, calendars, social networks, and even bank accounts. However, the vast increases in the flexibility of softphones comes with equally large security issues and opportunities, […]
NeTS: Small: New Directions in Network Dimensionality Reduction for Routing and Beyond
Many important problems in computer networking depend on the observed properties of network graphs — graphs obtained by measuring real network. These include networks of routers, autonomous systems, wireless nodes, and social relationships. Unfortunately, despite the explosion of detailed data now available, such graphs are still poorly understood, in part because of the high dimensionality […]
CPS: Synergy: Data Driven Intelligent Controlled Sensing for Cyber Physical Systems
The goal of this project is to develop the foundations of a control and optimization science base for sensor networks viewed as complex systems operating in an uncertain and potentially adverse environment. The approach taken is a combination of addressing fundamental research issues while maintaining a focus on a specific target application domain, a manufacturing […]