Stelios is a computer scientist working in the area of computing systems, working with algorithms that improve the performance of large scale systems. He enjoys exploring data science techniques that span the areas of distributed computing systems including Cloud computing, Internet of Things and applications of statistical learning algorithms for real-time big data analytics. His research directions are shaped around the design and implementation of new techniques and adoption of existing trends for the current systems to become more efficient, interoperable, and reliable and to operate on massive data sets. He is always looking for PhD students, so if you are interested in working in the area of distributed computing systems drop him an email.
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Areas of interest: Distributed computing systems, large scale resource management, cloud computing and big data processing