iSWAG 2015


iSWAG Symposium

The International Symposium on Web Algorithms (iSWAG) is dedicated to all academic and industrial researchers working on algorithmic problems related to the web. The aim of iSWAG 2015 is to cover as completely as possible the field of research on algorithms for solving web related problems.



Henri Verdier
Henri Verdier is currently the State Chief data officer of French Government. Henri Verdier is also Head of Etalab, the French agency in charge of public open data. In this position, he has recently launched DataConnexions, a collaborative initiative to rethink Data.gouv.fr, the national open data portal, and part of a roadmap on opening public data. A graduate of the Ecole normale supérieure, a higher education institution and one of the most prestigious in France, Verdier is also founder of Cap Digital, co-founder of MFG-Labs, a member of the ARCEP Strategic Committee and of the CNIL Strategic Committee.



Marc Spaniol
Marc Spaniol is a Full Professor at Université de Caen Basse-Normandie, France. He received a doctorate in computer science from RWTH Aachen University and was then a post-doctoral researcher at Max-Planck-Institut ffrü Informatik (MPI-INF). He is member of the Intl. Advisory Board of the Spanish ACM SIG Chapter on Computer Science Education and the German computer science society (GI). He has co-organized and serves as a PC-Chair of several conferences and workshops such as the International Web Archiving Workshop (IWAW) 2009 & 2010, the Temporal Web Analytics Workshop (TempWeb) series 2011-2015and as well as of the 8th and 9th International Conference on Web-based Learning (ICWL) 2009 & 2010. His research interests and publications are in the area in the field of Web data quality, temporal Web mining and knowledge evolution.



Michalis Vazirgiannis
Dr. Vazirgiannis is a professor in LIX, Ecole Polytechnique. He holds a degree in Physics, a MSc. in Robotics, both from U. Athens (Greece), and a MSc. in Knowledge Based Systems from Heriot Watt University (Edinburgh, UK). He acquired a Ph.D. degree from the Dept. of Informatics, U. Athens, Greece. Since then, he has conducted research in GMD-IPSI (now Fraunhofer), Max Planck MPI (Germany) and INRIA (Paris). He has been a teaching at AUEB (Greece), Ecole Polytechnique, Telecom Paris, ENS (France) and in Deusto University (Spain). His current research interests are on Graph Mining, Text mining and recommendation algorithms. His has long experience with R&D projects in the areas: i. data mining and machine learning for large scale data repositories (i.e. the Web/social networks, medical data, time series etc.), ii. Data integration and preprocessing and exploration, iii. Web Mining and advertising/marketing. He recently established the Data Science and Mining team at the Informatics Laboratory in Ecole Polytechnique(France) focusing on Data Science and Machine Learning issues. He has supervised twelve completed PhD theses. He has contributed chapters in books and encyclopedias, published two international books and more than a hundred thirty papers in international refereed journals and conference proceedings. He is also co-author of two patents filed in the Greek patent office and of one patent application filed in the EU patent. He is actively involved in national and international research & development projects. He has received the ERCIM (2001) and the Marie Curie EU (2006) fellowships and held a DIGITEO Chair grant (2010-13) on Web Mining in France. He participates in the editorial boards of the Intelligent Data Analysis Journal, the Springer Social Network Analysis and Mining Journal while he served as guest editor for special issues of the " Machine Learning", "Data Mining & Knowledge Discovery" and IEEE "Internet Computing" journals. He co-chaired the PC committee of ECML/PKDD 2011 conference, has served the Data Mining Track chair of the IEEE "ICDE" 2011 conference and has participated as a conference committee member for more than fifty international conferences, in the areas: Data Bases, Data Mining/Machine learning and the Web. He is chairing the AXA "Data Science" chair in Ecole Polytechnique and has collaborations with the industry including Google and Airbus.
More information at: http://www.lix.polytechnique.fr/~mvazirg/



Michele Trevisiol
Michele Trevisiol is a Research Scientist in Yahoo Labs in the Advertising Quality Group. His current research is focused on estimating the quality of the Ads, exploring ways to increase the satisfaction of both users and advertisers. Prior to this, he was working for a short period on community growth and tweets targeting in Twitter, where he drove the Removal Request Project during his internship. He also worked on geo-location during another internship at INRIA/IRISA Rennes. Michele obtained his PhD at Universitat Pompeu Fabra, supervised by Ricardo Baeza-Yates, after joining Yahoo Labs Barcelona in 2010 as a Research Engineer. During this period, Michele investigated ways to improve content ranking and recommendation in the context of Flickr and Yahoo news, inferring user browsing patterns from data logs to collect users implicit feedback.