Research
My research interests include parallel and distributed query processing, large-scale data management, distributed knowledge discovery, and spatio-temporal data management.
Current projects:
- VesselAI H2020, (Researcher), 2020-2022
- Chorologos HFRI/GSRT, (Principal Investigator), 2020-2021
Past projects:
- SPADES HFRI/GSRT, (Researcher), 2018-2021
- Track&Know H2020, (WP3 Leader), 2018-2020
- BigDataStack H2020, (Researcher), 2018-2020
- ExiBiDa (Researcher), 2016-2018
- datAcron H2020, (WP1 Leader), 2016-2018
- RoadRunner (Principal Investigator), 2014-2015
- CloudIX (Principal Investigator), 2011-2012
- Comidor (Researcher), 2008-2013
- Dascosa (Researcher), 2007-2012
Selected Recent Publications (Complete list of publications, My DBLP entry, Google Scholar, Academic Research, ResearchGate)
- N. Koutroumanis, C. Doulkeridis, A. Vlachou, Tearing Down the Tower of Babel: Unified and Efficient Spatio-temporal Queries for NoSQL Stores, in MDM 2022
- P. Tampakis, D. Spyrellis, C. Doulkeridis, N. Pelekis, C. Kalyvas, A. Vlachou, A Novel Indexing Method for Spatial-Keyword Range Queries, in SSTD 2021best paper award
- N. Koutroumanis, N. Kousathanas, C. Doulkeridis, A. Vlachou, A Demonstration of NoDA: Unified Access to NoSQL Stores, in VLDB 2021
- C. Doulkeridis, A. Vlachou, N. Pelekis, Y. Theodoridis, A Survey on Big Data Processing Frameworks for Mobility Analytics, in SIGMOD Record, 2021
- P. Nikitopoulos, G.A. Sfyris, A. Vlachou, C. Doulkeridis, O. Telelis, Pruning Techniques for Parallel Processing of Reverse Top-k Queries, in Distributed and Parallel Databases (Springer), 2021
- N. Koutroumanis, C. Doulkeridis, Scalable Indexing and Querying of Spatio-temporal Data in NoSQL Stores, in EDBT 2021
- G.M. Santipantakis, G.A. Vouros, C. Doulkeridis, Coronis: Towards Integrated and Open COVID-19 Data, in EDBT 2021 (demo paper)
- Y. Poulakis, C. Doulkeridis, D. Kyriazis, AutoClust: A Framework for Automated Clustering based on Cluster Validity Indices, in ICDM 2020
- S. Maropaki, S. Chester, C. Doulkeridis, K. Nørvåg, Diversifying Top-k Point-of-Interest Queries via Collective Social Reach, in CIKM 2020
- P. Tampakis, N. Pelekis, C. Doulkeridis, Y. Theodoridis, Scalable Distributed Subtrajectory Clustering, in IEEE Big Data 2019
- N. Koutroumanis, P. Nikitopoulos, A. Vlachou, C. Doulkeridis, NoDA: Unified NoSQL Data Access Operators for Mobility Data, in SSTD 2019
- P. Nikitopoulos, G.A. Sfyris, A. Vlachou, C. Doulkeridis, O. Telelis, Parallel and Distributed Processing of Reverse Top-k Queries, in ICDE 2019
- P. Nikitopoulos, A.-I. Paraskevopoulos, C. Doulkeridis, N. Pelekis, Y. Theodoridis, Hot Spot Analysis over Big Trajectory Data, in IEEE Big Data 2018
- N. Pelekis, P. Tampakis, M. Vodas, C. Doulkeridis, Y. Theodoridis, On temporal-constrained sub-trajectory cluster analysis, in Data Mining and Knowledge Discovery, 2017
- C. Baziotis, N. Pelekis, C. Doulkeridis, DataStories at SemEval-2017 Task 4: Bidirectional LSTM with Attention for Message-level and Topic-based Sentiment Analysis, in SemEval 20171st place
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C. Doulkeridis, A. Vlachou, D. Mpestas, N. Mamoulis, Parallel and Distributed Processing of Spatial Preference Queries using Keywords, in EDBT 2017
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M. Saouk, C. Doulkeridis, A. Vlachou, K. Nørvåg, Efficient Processing of Top-k Joins in MapReduce, in IEEE Big Data 2016
- P. Nikitopoulos, A.-I. Paraskevopoulos, C. Doulkeridis, N. Pelekis, Y. Theodoridis, BigCAB: Distributed Hot Spot Analysis over Big Spatio-temporal Data using Apache Spark (GIS Cup), in ACM SIGSPATIAL GIS'16 (GIS 2016 Challenge)
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K. Georgoulas, A. Vlachou, C. Doulkeridis, Y. Kotidis, User-centric Similarity Search, IEEE TKDE, 2016
- O. Gkorgkas, A. Vlachou, C. Doulkeridis and K. Nørvåg, Exploratory Product Search using Top-k Join Queries, Information Systems, 2016
- O. Gkorgkas, A. Vlachou, C. Doulkeridis and K. Nørvåg, Finding the Most Diverse Products using Preference Queries, in EDBT 2015
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C. Doulkeridis and K. Nørvåg, A Survey of Large-Scale Analytical Query Processing in MapReduce, in VLDB Journal 2014
- C. Doulkeridis, Processing Joins over Big Data in MapReduce, tutorial in HDMS 2014
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A. Vlachou, C. Doulkeridis, K. Nørvåg and Y. Kotidis, Branch-and-Bound Algorithm for Reverse Top-k Queries, in SIGMOD 2013
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A. Vlachou, C. Doulkeridis, K. Nørvåg, Y. Kotidis and N. Polyzotis, Processing of Rank Joins in Highly Distributed Systems, in ICDE 2012
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A. Vlachou, C. Doulkeridis, N. Polyzotis, Skyline
Query Processing over Joins, in SIGMOD 2011
- A. Vlachou, C. Doulkeridis, K. Nørvåg and Y. Kotidis, Identifying the Most Influential Data Objects with Reverse Top-k Queries, in VLDB 2010
- A. Vlachou, C. Doulkeridis, Y. Kotidis and K. Nørvåg, Reverse Top-k Queries, in ICDE 2010
Teaching
Undergraduate level
Postgraduate level
M.Sc. in Advanced Information Systems
M.Sc. in Big Data and Analytics
Research results from diploma theses of M.Sc. students of the Dept. of Digital Systems
- Yannis Poulakis, Christos Doulkeridis, Dimosthenis Kyriazis, AutoClust: A Framework for Automated Clustering based on Cluster Validity Indices, in ICDM'20
- Panagiotis Nikitopoulos, Georgios A. Sfyris, Akrivi Vlachou, Christos Doulkeridis, Orestis Telelis, Parallel and Distributed Processing of Reverse Top-k Queries, in ICDE'19
- Nikolaos Koutroumanis, Apostolos Glenis, Georgios M. Santipantakis, Christos Doulkeridis, George A. Vouros, Integration of Mobility Data with Weather Information, in BMDA'19
- Panagiotis Nikitopoulos, Aris-Iakovos Paraskevopoulos, Christos Doulkeridis, Nikos Pelekis, Yannis Theodoridis, Hot Spot Analysis over Big Trajectory Data, in IEEE Big Data 2018
- Mei Saouk, Christos Doulkeridis, Akrivi Vlachou, Kjetil Nørvåg, Efficient Processing of Top-k Joins in MapReduce, in IEEE Big Data 2016
- Panagiotis Nikitopoulos, Aris-Iakovos Paraskevopoulos, Christos Doulkeridis, Nikos Pelekis, Yannis Theodoridis, BigCAB: Distributed Hot Spot Analysis over Big Spatio-temporal Data using Apache Spark (GIS Cup), in ACM SIGSPATIAL GIS'16 (GIS 2016 Challenge)
- Maria Karanasou, Anneta Ampla, Christos Doulkeridis and Maria Halkidi, Scalable and Real-time Sentiment Analysis on Twitter Data, in ICDM Workshop SENTIRE'16
- Georgios A. Sfyris, Nikolaos Fragkos and Christos Doulkeridis, Profile-Based Selection of Expert Groups, in
TPDL'16
- Dimitris Pertesis, Christos Doulkeridis, Efficient Skyline Query Processing in SpatialHadoop,
in Information Systems Journal, 2015
- Christos Doulkeridis, Akrivi Vlachou, Panagiotis Nikitopoulos, Panagiotis Tampakis and Mei Saouk, The RoadRunner Framework for Efficient and Scalable Processing of Big Data, in PCI'15
- Maria Karanasou, Christos Doulkeridis and Maria Halkidi, DsUniPi: An SVM-based approach for Sentiment Analysis of Figurative Language on Twitter, in SemEval'15
Bio
Education:
- Ph.D., Dept. of Informatics, Athens University of Economics and Business, 2007.
- M.Sc. Information Systems, Dept. of Informatics, Athens University of Economics and Business, 2003.
- Diploma: Electrical and Computer Engineering, National Technical Univ. of Athens, Greece, 2001.
Distinctions and awards:
- Ralf H. Güting Best Research Paper Award, SSTD'21: P. Tampakis, D. Spyrellis, C. Doulkeridis, N. Pelekis, C. Kalyvas, A. Vlachou: A Novel Indexing Method for Spatial-Keyword Range Queries
- Best Paper Award, EuroVA'19: S. Chen, G.L. Andrienko, N.V. Andrienko, C. Doulkeridis, A. Koumparos: Contextualized Analysis of Movement Events
- 1st Winner in SemEval'17 Task 4: Sentiment Analysis on Twitter
- 2nd Winner in SemEval'17 Task 6: #HashtagWars: Learning a Sense of Humor
- 3rd Winner in GISCUP'16 Competition, ACM SIGSPATIAL, 2016
- RoadRunner project, "ΑΡΙΣΤΕΙΑ ΙΙ", GSRT, 2015-2016
- Marie-Curie fellowship, 2011-2012
- ERCIM Alain Bensoussan fellowship, 2009-2010
- 2nd winner of 'Michael Dertouzos competition' on IT with a Human Face. In WCIT'04, 2004
