(Introduction of Research Topics of INFONET : (PDF)
Today, an average person can easily find oneself immersed in computer networks, braodband WiFi networks, satellite communications networks, and smart phone networks. They are with us now and will surely stay with us in the future. These networks are not, it is anticipated however, going to serve us with mere communications purposes only. Communications networks, especially those with self-organizing and self sustaining capabilities, have found themselves useful in the areas whose purpose is not merely providing the means of communications but also other capabilities traditionally not been conceived for a communication network to handle, such as sensing, computing, and controlling. Examples of such networks are the wireless sensor networks, the wireless robotic networks, the network for telemetry, and the computing network. The networks in the future will be more like an alive network, we envision: a network which manages to live a life of its own with a given set of resources. The networks will be composed of a certain number of nodes; each with a given set of capabilities. They can form a communications network and communicate among themselves as well as with other external networks. Some nodes are equipped with sensors; others with computing resources and actuators. The networks can perceive their environment via the sensing units and respond to the events unfolding around them. They can stay being aware of the change in the environment they live in. Computation resources are given to some of them. They can process and analyze the perceived data. From the analysis, the networks can extract advanced information, and use it to make critical decisions and determine on their own how to respond to the perceived inputs and environmental changes. In addition, the networks can actively engage in exerting influence on their environment, by via the actuating units.

Our research aim is to create an engineering and mathematical framework with which the complex behaviors of the aforementioned networks can be analyzed and understood, and from which design guidelines can be drawn so that such a network can be engineered in reality. Following such a vision, our lab is named as INFOrmation-processing and control Network (INFONET) laboratory. This lab was initiated by Prof. Heung-No Lee with this vision on Jan. 8th, 2009.

INFONET Research Statements. INFONET research aims to investigate how a network of nodes with given resources processes information, communicate and control. Information can be gathered via those units capable of sensing. It is then processed autonomously within the network via communications link. Such communications and information processing within the network are done to create new information. The new information leads to form control and activation messages.Research Objective of INFONET Lab is to understand the desirable behavior of such networks and develop a mathematical foundation.Impact. On the new foundation, new networking systems whose limits are extended, whose operations optimized, and whose performance enhanced can be designed. This new network theory is anticipated to be useful in nano devices networks, wireless sensor and activator networks, and brain controlled robot systems.

Topics of interest include but not limited to

    • Wireless sensor networks
    • Network codes
    • CompressiveSensing
    • Network control and learning
    • Cross layer optimization
    • Graph codes/iterative decoders
    • Information theory
    • Analog/digital communications
    • Underwater acoustic channels
    • ReinforcedLearning
    • Cognition
    • ComplexSystems
    • EEG analysis and Brain-computer interface