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CREWMAN Research Gropus
The scope of research at CReWMaN lab is divided across 6 research groups.
Wireless sensor networks (WSNs) consist of battery-powered devices that sense the surrounding environment, eventually process the sensed data, and then relay them over a multi-hop wireless network to a base station or sink for usage by human operators or other applications. As such WSNs have seen applications in a wide array of scenarios: from wildlife monitoring in natural environments to road traffic analysis in urban areas.
Wireless and mobile communications, social technologies and sensors are connecting us, the Internet and the physical world into one piece, where tremendous amount of data are being collected on who we know, where we are, what we are doing and where we plan to go. Mining and analyzing these data help us better understand humans’ focus and even predict their future activities, thus facilitating us to develop better applications to serve people.
CoNS is a newly created research group affiliated with CReWMaN. We are interested in both fundamental and practical design aspects of the Internet. Our research focuses on tackling complexity and scalability challenges at both network and system level.
WiNe group conducts research in next generation wireless networks (e.g. 3G and 4G Cellular Networks, VVoIP/SIP, IP Multimedia Subsystem). Our focus is on design and implementation of analytical models, protocols and algorithms for wireless networks. The goal is to analyze the performance of the networks.
The concept of Mobile, Ubiquitous and Grid Computing has become as pervasive as the technology it foretells, representing a vision of a futuristic society in which pervasive, omnipresent technology supports every endeavor of man. It is clear that the rapid pace of technological development within our society will continue and accelerate, but, even at this pace, the perfect ubiquitous society will take time. CReWMaN shares this vision, but at MUG we are also working hard to make it a reality.
Biological systems can be envisioned to be a complex network of physical objects (example: molecules, ions, and bacteria) through the different signaling methods (example: reactions/binding through diffusions and transportation). This "networking" is responsible for driving the wide variety of structure and form found in living organisms, spreading of diseases and evolution of the species. The network can be extended from the interaction of the genes, to the proteins, moving into higher scales - interaction between cells, tissues and finally to that of organs manifesting itself in 'Life'.