5708 Barrows Hall, University of Maine,
Orono, ME 04469, USA
Office:207-581-2231,
Lab: 207-581-2133
Mathematical foundations of communications was formally established in 1948 by Claude Shannon. His famous channel capacity concept was topic of major research effrots around the world in the quest for finding a capacity acheiving code for reliable communication over noisy channels. The breakthough happened in 1993, when Claude Berrou and Alan Glavieux introduced Turbo-codes in ICC conference. Turbo-codes, being capable of performing very close to Shannon limit, enable new applications in communications and are used in the next generation of high speed wireless systems. In the recent years, another class of codes called LDPC codes were also introduced that are capable of performing close to channel capacity. Performance evluation of these high performance codes, created a challenge for researchers in communications area. Imagine how many bits are required to pass through a system model to provide a fairly accurate estiamte of bit error rate. Conventional methods such as Monte-Carlo simulation, proved to be extremely time consuming and impractical for evaluating performance of these new classes of capacity acheiving codes. Therefore, a new wave in research focused on analytical performance evaluations and simplified simulation techniques was created. This was started with finding performance bounds and then evolved to analytical methods relating the code weight distribution to the probability density of log-likelihood-ratio, and finally to the BER performance of the code. My research deals with analytical performance evaluation of high performance codes as motivated above, with several sub-directions including performance evaluation of wireless sensor networks, broadband wireless communications systems, and applying the coding and information theory concepts into network of passive sensors.
Over $4.8M in research grants has been received and managed to date. Here is the list of active projects: