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Georgios Fellouris is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Illinois. His research interests encompass various areas within statistics, focusing on advanced methodologies for sequential detection of anomalies and stochastic processes. He has published numerous papers in reputable journals, contributing significantly to the field of probability measures and large sample theory. Fellouris has been an influential member of the academic community, with ongoing projects that aim to develop new methods to detect subtle faults in systems, preventing catastrophic failures. He teaches several courses on statistical theory and practice, reflecting his commitment to educating the next generation of engineers and statisticians. His work not only enhances academic understanding but also has practical implications in engineering disciplines.
GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.