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Research
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Research ScopeOur research objective is two fold: academic excellence and societal impact. For years, computer system design and performance evaluation has always been and still is a primary research focus. Recognizing the complexity and challenge of large scale applications, we maintain uninterrupted interdisciplinary collaboration for years. In the earlier time, we have worked with the Intelligent Transportation Systems (ITS) community for a decade since its inception. We advocated distributed computing algorithms, networking protocols, sensor data fusion at a time when most traffic signals worked in isolation with little or no networking infrastructure available. Recently our research effort has also been expanded into bio & medical related computing problems . Some solutions have been deployed (a portable medical information management system, retinal laser injury screening), or under clinical trials (a computer based retinal analysis system for screening of diabetic retinopathy). Some others are under active development. Research Methodology Our research is styled with holistic solution approaches. Both originality and practicality are important values to our work. In addition to our core knowledge in system architectures and computing algorithms, our primary analytical tools include stochastic modeling, signal processing and statistics. CSIC represents a deep embedding strategy of computing solutions into major applications to close the gap imposed by the drastic differences between cyberspace and the physical world. Concurrent research on system and application problems creates numerous synergistic interactions, which bring vibrant, exciting research energy in attacking challenging problems. For instance, the need for privacy, decentralized authentication in medical services inspired us to work on the electronic cash based security management systems to support anonymous, accountable authentication solutions. In another our recent success story, a divide-and-conquer strategy is used as the high level foundation of different pixel level algorithms to create a universal retinal analysis system. Many more examples can be illustrated. |
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