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After earning undergraduate and master's degrees from the [[University of Patras]] in Greece, Kalnis completed a PhD at the [[Hong Kong University of Science and Technology]].<ref name=KAUST>{{cite web|title=Panagiotis Kalnis|url=http://www.kaust.edu.sa/faculty/kalnis.html|publisher=[[King Abdullah University of Science and Technology]]|accessdate=January 1, 2015}}</ref> |
After earning undergraduate and master's degrees from the [[University of Patras]] in Greece, Kalnis completed a PhD at the [[Hong Kong University of Science and Technology]].<ref name=KAUST>{{cite web|title=Panagiotis Kalnis|url=http://www.kaust.edu.sa/faculty/kalnis.html|publisher=[[King Abdullah University of Science and Technology]]|accessdate=January 1, 2015}}</ref> |
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Kalnis is a professor of [[computer science]] at the [[King Abdullah University of Science and Technology]].<ref>{{Google Scholar id|-NdSrrYAAAAJ}}</ref> While working there, he along with colleagues from [[Thomas J. Watson Research Center]] have developed a Pregel system called ''Mizan''.<ref>{{cite journal|url=http://dl.acm.org/citation.cfm?id=2465369|author1=Zuhair Khayyat|author2=Karim Awara|author3=Amani Alonazi|author4=Hani Jamjoom|title=Mizan: a system for dynamic load balancing in large-scale graph processing|publisher=[[Association for Computing Machinery|ACM]]|date=April 15, 2013|pages=169–182|isbn=978-1-4503-1994-2|doi=10.1145/2465351.2465369}}</ref> He previously worked at the [[National University of Singapore]], where he and his colleagues developed a [[tree traversal]] algorithm which showed suggested edit distance which in turn reduced computation cost.<ref>{{cite journal|url=http://dl.acm.org/citation.cfm?id=1066243|author1=Rui Yang|author2=Panos Kalnis|author3=Anthony K. H. Tung|title=SIGMOD 2005 proceedings of the ACM SIGMOD International Conference on Management of Data|publisher=ACM|year=2005|isbn=1-59593-060-4|doi=10.1145/1066157.1066243|pages=754–765}}</ref> In 2009 he and [[Nikos Mamoulis]] from [[University of Hong Kong]] have used [[k-anonymity]] and [[l-diversity]] models to create [[Heuristic (computer science)|heuristics]] to solve one-dimensional issues while in linear time.<ref>{{cite journal|url=http://dl.acm.org/citation.cfm?id=1538911|author1=Gabriel Ghinita|author2=Panagiotis Karras|author3=Panos Kalnis|author4=Nikos Mamoulis|title=A framework for efficient data anonymization under privacy and accuracy constraints|journal=[[ACM Transactions on Database Systems]]|publisher=ACM|date=June 2009|volume=34|issue=2|doi=10.1145/1538909.1538911}}</ref> |
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Panagiotis Kalnis is a Greek academic who specializes in cloud computing and databases.
After earning undergraduate and master's degrees from the University of Patras in Greece, Kalnis completed a PhD at the Hong Kong University of Science and Technology.[1]
Kalnis is a professor of computer science at the King Abdullah University of Science and Technology.[2] While working there, he along with colleagues from Thomas J. Watson Research Center have developed a Pregel system called Mizan.[3] He previously worked at the National University of Singapore, where he and his colleagues developed a tree traversal algorithm which showed suggested edit distance which in turn reduced computation cost.[4] In 2009 he and Nikos Mamoulis from University of Hong Kong have used k-anonymity and l-diversity models to create heuristics to solve one-dimensional issues while in linear time.[5]
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