APOSTOLOS N. PAPADOPOULOS 

Associate Professor

"It is through science that we prove, but through intuition that we discover." (Henri Poincaré) 
INTROI was born in Eleftheroupolis (also known as Pravi), a small town near Kavala city. I obtained my 5year diploma from the Department of Computer Engineering and Informatics, University of Patras, Greece and my PhD from the Department of Informatics, Aristotle University of Thessaloniki, Greece. Since May 2016, I am an Associate Professor with the Department of Informatics of Aristotle University. According to Google Scholar my hindex is 30 and according to American Mathematical Society my Erdős number is 3. RESEARCH INTERESTSMy current research interests span the fields of DATABASES and DATA MINING. In particular, I am interested in efficient query processing techniques in database systems (multidimensional data management, spatiotemporal data management), algorithms for mining graphs (dense subgraph discovery, frequent subgraphs, hidden graphs, probabilistic graphs), parallel and distributed techniques for massive data sets using Spark and Hadoop, and data management and mining over data streams. ACTIVE PROJECTS INVOLVEDCUREX: seCUre and pRivate hEalth data eXchange (call H2020SC1FADTS20181) TUTORIALSCore Decomposition of Networks: concepts, algorithms and applications, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD) , Skopje, F.Y.R.O.M,, September 2017 (with Fragkiskos Malliaros and Michalis Vazirgiannis).
Core Decomposition of Networks: concepts, algorithms and applications,
International Conference on Data Mining (ICDM) , Barcelona, Spain, December 2016 (with Fragkiskos Malliaros and Michalis Vazirgiannis).
Tutorial acceptance ratio: submitted 17, accepted 4.
Core Decomposition in Graphs: concepts, algorithms and applications, presented in
the EDBT/ICDT Joint Conference , Bordeaux, France, March 2016 (with Fragkiskos Malliaros and Michalis Vazirgiannis).
Core Decomposition: algorithms and applications, presented in the
IEEE/ACM International Conference on Social Network
Analysis and Mining (ASONAM), Paris, France, August 2015 (with Fragkiskos Malliaros and Michalis Vazirgiannis). 
CERTIFICATIONSBig Data Analysis with Scala and Spark by Ecole Polytechnique Federale de Lausanne on Coursera (view certificate). HAPPY BECAUSE ...Based on the work of Tran, Fan and Shahabi published in VLDB 2016 [pdf]: "results show that in most settings, the MCOD algorithm offers the superior performance among all the algorithms, including the most recent algorithm Thresh LEAP". (MCOD is an algorithm that we proposed in ICDE 2011 for detecting distancebased outliers over data streams [ICDE 2011, SIGMOD 2013 demo]) The paper "MetricBased Topk Dominating Queries", Proceedings of the 17th International Conference on Extending Database Technology (EDBT), Athens, Greece, 2014: selected as the best paper for publication in ACM Transactions on Database Systems..
The paper "SkyGraph: an algorithm for inportant subgraph discovery in relational graphs",
Proceedings of ECML/PKDD, Antwerp, Belgium, 2008:
received the Best Knowledge Discovery Paper Award.

SELECTED PUBLICATIONSF. Malliaros, C. Giatsidis, A.N. Papadopoulos, M. Vazirgiannis: "The Core Decomposition of Networks: theory, algorithms and applications", The VLDB Journal, 2019. E. Tiakas, G. Valkanas, A.N. Papadopoulos, Y. Manolopoulos, D. Gunopulos: "Processing Topk Dominating Queries in Metric Spaces", ACM Transactions on Database Systems (TODS), [best paper from EDBT 2014], 40(4), pp.138, 2016. G. S. Brodal, A. Kaporis, A. N. Papadopoulos, S. Sioutas, K. Tsakalidis, K. Tsichlas: "Dynamic 3sided Planar Range Queries with Expected Doubly Logarithmic Time", Theoretical Computer Science (TCS), 526, pp.5874, 2014. E. Tiakas, G. Valkanas, A. N. Papadopoulos, Y. Manolopoulos, D. Gunopoulos: "MetricBased Topk Dominating Queries", Proceedings of the 17th International Conference on Extending Database Technology (EDBT), Athens, Greece, 2014. A. Kosmatopoulos, K. Tsichlas, A. N. Papadopoulos: "Dynamic Processing of Dominating Queries with Performance Guarantees", Proceedings of the 17th International Conference on Database Theory (ICDT), Athens, Greece, 2014. E. Valari, A. N. Papadopoulos: "Continuous Similarity Computation over Streaming Graphs", Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Prague, Czech Republic, 2013. D. Georgiadis, M. Kontaki, A. Gounaris, A. N. Papadopoulos, K. Tsichlas, Y. Manolopoulos: "Continuous Outlier Detection in Data Streams: an Extensible Framework and StateoftheArt Algorithms", Proceedings of the ACM SIGMOD International Conference on Management of Data, [demo track], New York, NY, USA, 2013. G. Valkanas, A. N. Papadopoulos, D. Gunopoulos: "SkyDiver: A Framework for Skyline Diversification", Proceedings of the 16th International Conference on Extending Database Technology (EDBT), Genoa, Italy, 2013. M. Kontaki, A. N. Papadopoulos, Y. Manolopoulos: "Continuous Topk Dominating Queries", IEEE Transactions on Knowledge and Data Engineering (TKDE), 24(5), pp.840853, 2012. E. Tiakas, A. N. Papadopoulos, Y. Manolopoulos: "Progressive Processing of Subspace Dominating Queries", The VLDB Journal, 20(6), pp.921948, 2011. M. Kontaki, A. Gounaris, A. N. Papadopoulos, K. Tsichlas, Y. Manolopoulos: "Continuous Monitoring of DistanceBased Outliers over Data Streams", Proceedings of the 27th IEEE International Conference on Data Engineering (ICDE), pp.135146, Hannover, Germany, 2011. A. Lyritsis, A. N. Papadopoulos, Y. Manolopoulos: "TAGs: Scalable ThresholdBased Algorithms for Proximity Computation in Graphs", Proceedings of the 14th International Conference on Extending Database Technology (EDBT), pp.295306, Uppsala, Sweden, 2011. 
PH.D. SUPERVISINGOngoingNikolaos Georgiadis "Data Mining and Big Data Analytics"Ioannis Christoforidis "Data Mining" Apostolos Lyritsis "Graph Mining Algorithms" Yannis Kalliantzis "Big Data Analytics" Dimitrios Mamatsas "Data Mining" GraduatedEleftherios Tiakas completed his thesis on "Similarity and Preference Queries in Multidimensional Spaces" 
