Mauro Dragoni

Fondazione Bruno Kessler, IT
Mauro Dragoni is a post-doc researcher at the Fondazione Bruno Kessler in Trento since 2011.
He received his Ph.D. degree in Computer Science from the Università degli Studi di Milano in 2010 and his major research interests concern the Computational Intelligence and Knowledge Management fields applied to the Information Retrieval, Ontology Matching, and Sentiment Analysis topics. In particular, he focuses on applying state of the art research paradigms to the implementation of real-world knowledge management systems.

Nattiya Kanhabua

L3S Research Center / University of Hannover, DE
Dr. Nattiya Kanhabua is a postdoctoral researcher at the L3S Research Center in Hannover, Germany. Her research interests are information retrieval, Web and social media mining, user behavior studies, and health-related analytics. She has worked in several EU-funded projects including (1) ForgetIT – Concise Preservation by Combining Managed Forgetting and Contextualized Remembering, and (2) ALEXANDRIA, an ERC Advanced Grant Project on Foundations for Temporal Retrieval, Exploration and Analytics in Web Archives. Previously, she was a team member of the finished EU-funded project on Medical Ecosystem: Personalized Event-based Surveillance (M-Eco) towards the goal of monitoring and detecting disease outbreaks in Twitter. She gave a lecture on Web Dynamics in the 6th Russian Summer School in Information Retrieval (RuSSIR’2012) and has co-organized the Human Memory-Inspired Multimedia Organization and Preservation (HMMP’15) Workshop @ IEEE ICME 2015. She has publication records in top-tier conferences (e.g., SIGIR, WSDM, and ECIR). Her professional memberships include (1) program committee for SIGIR’15, ECIR’15, MEDInfo’15 and TempWeb’15, (2) reviewer for WWW’15, ACM TOIS, IEEE TKDE, IPM, and Information Retrieval, and (3) Guest Editorial Board for a special issue of Information Processing & Management on Time and Information Retrieval.

Stephane Marchand-Maillet

University of Geneva, CH
Stéphane Marchand-Maillet is Associate Professor in the Department of Computer Science at the University of Geneva, Switzerland, where he leads the Viper group. His research is directed towards large-scale, high-dimensional distributed information mining, indexing and machine learning, with applications including Big Data, Business and Education. He has authored, co-authored or edited a number of publications on these topics. He and his group are part of several national and European and international projects in the domain.
He was general co-chair of the International Conference of the ACM-SIG on Information Retrieval in 2010 (ACM-SIGIR 2010) and general co-chair of the 16th IEEE Conference in Business Informatics in 2014 (IEEE-CBI 2014).

URL: http://viper.unige.ch

Julian Szymanski

Gdansk University of Technology, PL
Julian Szymański (born 30.09.1973) received the MSc and PhD degrees from Gdańsk University of Technology in computer science and MSc from the Nicolaus Copernicus University in philosophy. Now he works as assistant professor at Electronics Telecommunications and Informatics faculty of Gdańsk University of Technology at Computer Architecture Department. The main areas of the research are machine learning and cognitive language modeling with applications to information retrieval. He is the author of over 50 scientific publications that have appeared in international journals and conference proceedings. He has been the coordinator of 3 national projects in the areas of information retrieval.

Personal web page: http://julian.eti.pg.gda.pl

Paolo Missier

Newcastle University, UK
Dr. Paolo Missier is a Lecturer in Information and Knowledge Management with the School of Computing Science, Newcastle University, UK.
Amongst his current research interests are models and architectures for the management and exploitation of data provenance. Since 2010 he has been co-leading the Provenance Working Group of the NSF-funded DataONE project. Between 2011 and 2013 he has been an active member of the W3C Working Group on Provenance on the Web, where he co-edited a number of the resulting recommendation documents.
Between 2012-2013 he was PI of the “Trusted Dynamic Coalitions” project (EPSRC/DSTL), investigating models, algorithms, policies, and tools for abstracting provenance with a view to control its partial disclosure in the context of information exchanges amongst partners with limited trust.
Paolo holds a Ph.D. in Computer Science from the University of Manchester, UK (2007), a M.Sc. in Computer Science from University of Houston, Tx., USA (1993) and a B.Sc. and M.Sc. in Computer Science from Universita’ di Udine, Italy (1990).

Miguel Ángel Martínez

Universidad de Valladolid, ES
Miguel A. Martínez-Prieto is Assistant Professor in the Department of Computer Science at the University of Valladolid, Spain. He completed his Ph.D in Computer Science from the same University in 2010. His research interests are mainly related to data compression and its application to the efficient representation, management, and querying of huge datasets. He is co-author of HDT, the binary format acknowledged by the W3C for publication and exchange of huge RDF in the Web of Data.

Antonio Fariña

Universida de Da Coruña, ES
Antonio Fariña received his PhD in Computer Science in 2005 from the University of A Coruña. Today he is an associate professor from the Computer Science Department at the same University, where he is a member of Databases Laboratory. His research has mainly focused in Text Retrieval on natural language text collections. Actually, his main contributions to this field are related to text compression, as well as to compressed indexing structures. Nowadays he is involved in research related to compression and indexing of temporal graphs and RDF. Other areas of interest are: Algorithms, Searches in Metric Spaces, and Geographic Information Systems.