Guido Cervone's research interests are very wide, and involve both theoretical and practical development of data mining algorithms.

He has an interest in remote sensing, and has analyzed data in many different parameters, with a primary interest in Surface Temperature.

He uses this data to look at earthquakes, hurricanes, seasonal and inter-annual phenomena such as the Monsoon and El-nino. Most noticeably, he has found statistically significant changes before earthquakes, which potentially gives a better understanding of the related processes.

"One of the major problems with remote sensing is that the always increasing number of satellites, equipped with always more precise instruments, generates a huge amount of data on a daily basis," he says. "Analyzing such amount of data is a Herculean task, which benefits enormously from automatic data mining algorithms. No person can possibly go through such an enormous amount of data, but on the other hand is possible to analyze synthesis of the data, in particular when this is in a form that is easy and practical to understand."

Cervone operates the antenna receiving station on George Mason University's Fairfax Campus. He receives data from the NOAA polar series and the Chinese Fenyung 1 series. The data is being used for hurricane studies, and often used by local stations for their weather forecasts.