Ph.D. in Informatics, M.Sc. in Knowledge Based Systems, M.Sc. in Robotics, B.Sc. National and Kapodistrian University of Athens.
Dr. Vazirgiannis is a Professor at LIX, Ecole Polytechnique in France, with a partial affiliation at AUEB, Greece. He holds a degree in Physics and a PhD in Informatics from Athens University(Greece) and a Master degree in AI from HerioWatt Univ Edinburgh. He has conducted research in GMD-IPSI, Max Planck MPI (Germany), in INRIA/FUTURS (Paris). He has been a teaching in AUEB (Greece), Ecole Polytechnique, Telecom-Paristech, ENS (France), Tsinghua (China) and in Deusto University (Spain).
His current research interests are on machine learning and combinatorial methods for Graph analysis (including community detection, graph clustering and embeddings, influence maximization), Text mining including Graph of Words, word embeddings with applications to web advertising and marketing, event detection and summarization. Also distributed machine learning algorithms, distributed dimensionality reduction, distributed resource management. He has active cooperation with industrial partners in the area of data analytics and machine learning for large scale data repositories in different application domains such as Web advertising and recommendations, social networks, medical data, aircraft logs and insurance data. He has supervised fourteen completed PhD theses – several of them supported by industrial funding including Google, Airbus, BNP etc.
On the publication frontier, he has contributed chapters in books and encyclopedias, published three books and more than a hundred forty papers in international refereed journals and conferences. He has organized large scale conferences in the area of Data Mining and Machine Learning (such as ECML/PKDD) while he participates in the senior PC of AI and ML conferences – such as AAAI and IJCAI. He is also co-author of three patents. He has received the ERCIM and the Marie Curie EU fellowships and lead a DIGITEO chair grant. Since 2015 M. Vazirgiannis leads the AXA Data Science chair.