Panos Kalnis
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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, along with Gabriel Ghinita, Panagiotis Karras, and Nikos Mamoulis from the University of Hong Kong, he created heuristics to solve the problems posed by k-anonymity and l-diversity data privacy models in linear time.[5]
References
- ↑ "Panagiotis Kalnis". King Abdullah University of Science and Technology. Retrieved January 1, 2015.
- ↑ Panos Kalnis publications indexed by Google Scholar
- ↑ Zuhair Khayyat; Karim Awara; Amani Alonazi; Hani Jamjoom (April 15, 2013). "Mizan: A system for dynamic load balancing in large-scale graph processing". Proceedings of the 8th ACM European Conference on Computer Systems. ACM. pp. 169–182. doi:10.1145/2465351.2465369. ISBN 978-1-4503-1994-2. S2CID 13835043.
- ↑ Rui Yang; Panos Kalnis; Anthony K. H. Tung (2005). SIGMOD 2005 proceedings of the ACM SIGMOD International Conference on Management of Data. ACM. pp. 754–765. doi:10.1145/1066157.1066243. ISBN 978-1-59593-060-6. S2CID 7114520.
- ↑ Gabriel Ghinita; Panagiotis Karras; Panos Kalnis; Nikos Mamoulis (June 2009). "A framework for efficient data anonymization under privacy and accuracy constraints". ACM Transactions on Database Systems. 34 (2): 1–47. CiteSeerX 10.1.1.156.9150. doi:10.1145/1538909.1538911. S2CID 3506686.
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