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Wydział Matematyki, Informatyki i Mechaniki Uniwersytetu Warszawskiego
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Parallel and distributed systems
Description
Theory and practice of distributed computing systems. The research topics include both Cloud Computing and Big Data as well as networked embedded systems based on low-power wireless devices realizing the Internet of Things vision.
Seminars
Seminar Computational Biology and Bioinformatics
Employees
Szymon Piotr Acedański
Wireless sensor networks, natural language processing
Mateusz Banaszek (student)
Grzegorz Bokota
Processing on clusters, MapReduce algorithms
Krzysztof Diks
Parallel and distributed algorithms, communication problems in networks
Paweł Gora
Processing on clusters, MapReduce algorithms
Przemysław Horban
Wireless sensor networks, machine learning
Konrad Iwanicki
Large scale distributed systems, wireless micro-networks, Internet of Things
Maciej Kisiel (student)
Mirosław Kowaluk
Processing on clusters, MapReduce algorithms
Dawid Łazarczyk (student)
Adam Malinowski
Szymon Pajzert (student)
Processing on clusters, MapReduce algorithms
Wojciech Rytter
NC (Nick's Class) parallel algorithms, radio networks, algorithms for mobile agents in graphs
Krzysztof Rządca
Classification and management of resources in large scale systems such as clouds, data centers and social networks
Inga Rüb
Compilers and operating systems for embedded devices, Internet of Things
Cezary Siłuszyk (student)
Jacek Sroka
Processing on clusters, MapReduce algorithms
Krzysztof Jan Stencel
Processing on clusters, MapReduce algorithms
Jerzy Tyszkiewicz
Processing on clusters, MapReduce algorithms
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