He has worked as a researcher in the different places: in the Knowledge & DB Lab (group, N.T.U. Athens), in GMD-IPSI (currently Frauhofer - IPSI), Germany, in Fern-Universitaet Hagen, in project VERSO (later GEMO) in INRIA/Paris, in IBM India Research Laboratory and in Max Planck Instistut fur Informatik (Saarbruecken, Germany) in the group of G. Weikum. M. Vazirgiannis held a Marie Curie Intra-European fellow (2006-2007) in area of "P2P Web Search", hosted by INRIA FUTURS.
His current research interests are in the area of bigdata mining – aiming at harnessing the potential of machine learning algorithms for large scale data sets including text and graphs. More specifically his current work is on graph degeneracy for large scale graph mining, graph based text retrieval, learning models from time series data and text mining for the web (i.e. advertising, news streams).
His industrial experience and expertise lie in the areas of data mining and machine learning for large scale data repositories (i.e. the Web graph, social networks, medical data etc).He has contributed chapters in books and encyclopedias, published two international books and more than a hundred papers in international refereed journals and conferences. (List of Publications in DBLP) Google Schoelar Profile He is also co-author of three patents.
He has supervised ten completed PhD theses while currently he supervises two more PhD Students. Dr Vazirgiannis has founded the DaSciM Research team (in École Polytechnique) focusing in the area of data and web mining. He is involved in teaching in data mining and machine learning for big data in Ecole Polytechnique, Telecom ParisTech, ENS Cachan.
Dr. Vazirgiannis has participated in more than fifty programme committees of international conferences in the areas: Data Bases, Data Mining/Machine learning and the Web. He served as:
- The Data Mining Track chair of the IEEE - ICDE 2011 conference.
- Programme co-Chair of the ECML/PKDD 2011 Conference in Athens, Greece.
- Organizer of the "Data Science in the Bigdata Era" workshop, July 2013, Paris
- Organizer of the "LIX Colloquium 2014 on Data Science", Fall 2014, Paris