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Multimedia Systems Networking and Communications

Prof. R. Chandramouli

The current research and development focus of our group includes image/video compression, joint source-channel coding, error-resilient coding for wireless networking, low power wireless networks, multimedia security, multiresolution signal processing, and low power VLSI. We have successfully developed and demonstrated promising technologies in these areas with support from government agencies and industries. If you are interested in supporting our efforts, please feel free to contact one of the faculty members in the group. Visit the MSYNC Laboratory Website!

Signal Processing and Communications

Prof. Hongbin Li

Current Areas of Research Include: Signal Processing:

detection and estimation theory
distributed signal processing with band limited constraint ( e.g., for wireless sensor networks)
sensor array and multichannel processing

Wireless Communications and Networking:

modulation, coding, and information theory
diversity combining and analysis
wireless relays and cooperation
mobile ad-hoc networks (MANETs)

Visit the SPAC Laboratory Website!

Visual Information Environment

Prof. Hong Man Currently at VIEL, our research efforts are orchestrated along two majo

r directions:

data networking: our objective is to effectively solve the two major challenges of today's Internet -- quality of service and security. We are investigating the approach with joint (or cross-layer) designs of various networking components, including source coding, channel coding, encryption, routing, queuing, and media access control.
data analysis:our goal is to effectively extract useful information from rich media content. We are applying signal processing, statistics and pattern recognition techniques on various visual information to perform detection, classification, segmentation, archiving, as well as distributed decision based on data networks.

Visit the VIEL Laboratory Website!

Wireless Information Systems Engineering

Prof. Yu-Dong Yao

The WISELAB will provide the resources for exploration of advances in wireless communication systems, including performance analysis, algorithm development, and experimentation. Systems-level solutions are of particular interest, seeking to improve signal transmission performance and to increase wireless system capacity. Visit WISELAB Website!

Embedded Systems & Robotics

Prof. Yan Meng Research projects have included the study of 'Bio-inspired Self-Organizing Self-Adaptive Multi-Agent Systems'.

With the advance of technologies in networked intelligent systems, we will soon be surrounded by large collections of autonomous systems, which are equipped with sensors and actuators, aware of their local environment, communicate freely, and organize themselves to perform the required actions and services. These ubiquitous complex systems open up fascinating new areas for our life, meanwhile, have the problem of their controllability. Traditional approaches to solving complex system problems are centralized, which mainly focus on the decomposition and distribution of a problem into multiple subtasks, and the collective construction of a solution to the problem. Visit the ESRL Laboratory Website!

Robotics & Automation

Prof. Yi Guo

The Robotics and Automation Laboratory was founded in August 2005 by Prof. Yi Guo and is engaged in research in autonomous mobile robots and control systems. We develop fundamental understanding in autonomous mobility and robot cooperation, and provide computational algorithms for increasing cooperative mobility of mobile robotic systems. Control system synthesis spans from multi-agent systems, communication systems, electric power systems, and nano-scale systems. Visit the Robotics and Automation Laboratory Website!

Data Analysis and Information Security

Prof. Yingying (Jennifer) Chen As wireless and sensor networks continue to have an important impact on our life

and eventually become a part of our social fabric, the network infrastructure will increasingly become the tempting targets for malicious attacks. Further, with the huge amount of information transmitted over the networks and eventually displayed in the Internet, the main question that people asked about is what should constitute "fair use" of the information. The Data Analysis and Information Security (DAISY) Laboratory focuses on both addressing the problems in information security, system privacy, and data integrity using statistical approaches and machine learning techniques, as well as building test beds to facilitate research in these areas. Visit the DAISY Laboratory Website!

Wireless Networks

Prof. C. Comaniciu

Our current research project is entitled "Cross-Layer Cooperation for Energy Efficiency in Wireless Sensor Networks: Game Theoretic Solutions". This project aims to develop cross-layer resource management algorithms for energy efficiency in wireless sensor networks. Cooperation between layers by exchanging pertinent information is exploited for optimizing the algorithms. Furthermore, distributed algorithms are proposed, in which each sensor makes localized, independent decisions, to adapt its transmission parameters (powers, access probability, routes, aggregation level, etc). The interactions between sensors, as well as the overall behavior of the proposed protocols can be analyzed based on a game theoretic framework. The focus of the project is on analyzing the tradeoffs in designing energy efficient protocols, involving interference management, data aggregation and sleeping schedule design. Visit the WNET Laboratory Website!