@MISC{Mailler_researchstatement, author = {Roger Mailler}, title = {Research Statement}, year = {} }
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Abstract
My research interests span the development of core techniques and the implementation of application-driven systems in the areas of distributed problem solving and machine learning. As a researcher, I have always felt that the result of good research is the development and understanding of general techniques for solving problems. However, computer science also involves engineering and as such, I understand that techniques that are built to solve generalized problems often fail in the real world. As scientists, we are often forced to make a trade-off decision between developing deep understanding using simplified models and creating practical implementations that are often situation specific. My research work has always focused on bridging the gap between these two seemingly contrary views of computer science research. As the famous saying goes “Necessity is the mother of invention ” and many of my research insights have been derived in exactly this manner. From the creation of systems of necessity came the invention of problem specific solutions that led to generalized methods and, finally, deep understanding. Graduate and Dissertation Work As a graduate student, one of my earliest efforts was the implementation of the tracking,