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Empowering Excellence<br />

Networking and Computer Systems<br />

High Speed Switches and Routers<br />

• Architectures, analysis and design of high-performance switches<br />

and Internet routers, scheduling algorithms, traffic management,<br />

memory architectures, and quality of service guarantees.<br />

Wireless Technologies<br />

• Next-generation wireless networks and systems, cognitive and<br />

cooperative wireless networking, sensor networking, large-scale<br />

peer-to-peer systems, and multimedia communications.<br />

Distributed Systems<br />

• Large-scale content distribution in the Internet, peer-to-peer media<br />

streaming, the Internet topology, cloud computing, video delivery<br />

and multicasting, capacity provisioning and resource management<br />

in cellular networks, green computing and communications.<br />

Software Technologies<br />

Software Engineering<br />

• Software analysis and testing, software analytics, ubiquitous<br />

software development.<br />

Computer Music<br />

• Computer music and audio engineering.<br />

Software Theory and System<br />

• Cryptography and coding theory, mining software repository,<br />

multimedia and Internet computing, embedded systems and<br />

software, services computing.<br />

Research Highlights<br />

3D Digital City Modeling<br />

The vision and graphics group, led by Prof Long Quan, has worked on 3D reconstruction and<br />

modeling from images at the confluence of computer vision and computer graphics. The group<br />

has contributed the state of the art quasi-dense approach to three-dimensional reconstruction and<br />

structure from motion from images. The group then developed a series of modeling applications,<br />

ranging from smooth surface modeling to prior-based hair and tree modeling. Most recently,<br />

the group has been developing reconstruction and modeling approaches to large-scale threedimensional<br />

city modeling from two-dimensional Google Earth Street View and Microsoft Virtual<br />

Earth Streetside imagery.<br />

Landmark Photography<br />

Prof Pedro Sander worked with a team of researchers to develop the world’s largest digital<br />

photograph in September 2010. The photograph, depicting the city of Rio de Janeiro, Brazil, had a<br />

resolution of 150 billion pixels. The picture was the result of using cutting-edge technology to stitch<br />

together 11,000 photographs, each of 18 megapixels. Using very high quality printing, it would<br />

occupy the size of a football field, and with standard quality printing it would be at least twice that<br />

size.<br />

The researchers used a GigaPan robotic arm to position and take the photographs from the Sugar<br />

Loaf – a landmark in Rio de Janeiro, Brazil. The entire process took about four hours. The stitching<br />

process was challenging due to the large amount of data processing involved. Many stitching<br />

solutions were attempted to reduce the seam artifacts across images and the final process took<br />

several weeks. It took another full week just to upload the picture to the website over the Internet.<br />

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