Professor N. Mamoulis
Dipl CE Patras; PhD HKUST
Nikos Mamoulis received a diploma in Computer Engineering and Informatics in 1995 from the University of Patras, Greece, and a PhD in Computer Science in 2000 from the Hong Kong University of Science and Technology. He was a faculty member at the Department of Computer Science, The University of Hong Kong, which he joined in 2001. He is currently with the University of Ioannina. In the past, he has worked as a research and development engineer at the Computer Technology Institute, Patras, Greece and as a post-doctoral researcher at the Centrum voor Wiskunde en Informatica (CWI), the Netherlands.
During his PhD thesis, Prof. Mamoulis has worked on the development of a prototype spatial query execution engine where spatial operators were combined using a query optimizer to execute complex queries, like multiway spatial joins. He has also designed novel binary and n-ary join operators. Other topics he has worked on include constraint satisfaction search algorithms for binary and non-binary problems, similarity search in high dimensional spaces, on-line analytical processing, data mining, object-oriented and semi-structured data management, spatio-temporal data management, query processing over streams, data summarization, security and privacy preservation in databases, sensor networks, and uncertain data management.
Prof. Mamoulis has been a program committee member of over 80 international conferences and workshops, including SIGMOD, VLDB, ICDE, KDD, and ICDM. He co-organized several conferences and workshops, including SSTDM06, SSDBM08, DBRank09, SSTD09, and ICDE 2010 PhD Workshop. He is an editorial board member of Geoinformatica (Springer) and an associate editor of IEEE Transactions on Data and Knowledge Engineering and the VLDB Journal.
Spatial, spatio-temporal and multimedia databases, object-oriented and object-relational databases, data mining, search/clustering in high dimensional spaces, constraint satisfaction problems, query processing over streams, data summarization, privacy preservation in databases, and sensor networks.
- L. H. U, K. Mouratidis, M. L. Yiu, and N. Mamoulis, Optimal Matching between Spatial Datasets under Capacity Constraints, ACM Transactions on Database Systems (TODS), 35(2), 44 pages, April 2010
- M. L. Yiu and N. Mamoulis, Multi-Dimensional Top-k Dominating Queries, the VLDB Journal, 18(3): 695-718, June 2009.
- N. Mamoulis, M. L. Yiu, K. H. Cheng, D. W. Cheung, Efficient Top-k Aggregation of Ranked Inputs, ACM Transactions on Database Systems (TODS), 32(3), August 2007
- S. Bedathur, K. Berberich, J. Dittrich, N. Mamoulis, and G. Weikum, Interesting-Phrase Mining for Ad-Hoc Text Analytics, Proceedings of the 36th Very Large Data Bases Conference (VLDB), Singapore, September 2010.
- S. Zhang, N. Mamoulis, and D. W. Cheung, Scalable Skyline Computation Using Object-based Space Partitioning, Proceedings of the ACM Conference on Management of Data (SIGMOD), pp. 483-494, Providence, RI, June 2009.
Recent Research Grants
- 2010-2012: Algorithms for Large-Scale Matching Problems, HKU 715509E (from Hong Kong RGC)
- 2009-2011: Privacy Preservation in the Publication of Data Sequences, HKU 715108E (from Hong Kong RGC)
- 2008-2010: Top-k Dominating Queries on Multi-dimensional Data, HKU 714907E (from Hong Kong RGC)
- 2007-2010: Evaluation of Advanced Spatial Queries in Sensor Networks, HKU 7155/06E
- 2006-2008: Continuous Constraint Query Evaluation for Spatio-temporal Data Sequences, HKU 7160/05E (from Hong Kong RGC)
- 2004-2006: Periodicity of Movement in Spatiotemporal Databases, HKU 7142/04E (from Hong Kong RGC)