Lecturers
 Prof. Dr. Heiko Paulheim University of Mannheim, DE e-mail: |
Prof. Pauheim is the interim Chair for Data Science at the University of Mannheim and the Program Director of Mannheim Master in Data Science. He has published over 100 research articles and editorials and teaches Semantic Web Technologies and Data Mining. His research interests cover Knowledge Graphs on the Web and their Applications, Data Quality and Data Cleaning on Knowledge Graphs, Machine Learning and Data Mining on Linked Data (see: RapidMiner LOD Extension), and Anomaly Detection. |
 Laura Po University of Modena and Reggio Emilia, IT | Dr. Laura Po is an Associate Professor in the University of Modena and Reggio Emilia. She has obtained a Ph.D. in Computer Engineering and Science from the University of Modena and Reggio Emilia on 13th February 2009, within the INFORMATION AND COMMUNICATION TECHNOLOGIES (ICT) School. She has received Magna cum laude "Laurea" degree in Computer engineering from the University of Modena and Reggio Emilia on 17th February 2005. She is author of over 20 publications in journals and proceedings of national and international conferences, and national and international book chapters. She has participated in national and international research projects: MIUR Project [2004-2006]: WISDOM; FIRB Project [2006-2008]: NeP4B; IST FP6 STREP project [2006-2008]: STASIS, 'Searching a needle in amounts of data ! ' project [2009-2010]: a project funded by Fondazione Cassa di Modena; IC1302 COST Action [2013-2016]: "KEYSTONE Semantic keyword-based search on structured data sources". She has been a reviewer for several international journals in the field of information and knowledge management. She has been selected as external reviewer for ERC Consolidator Grant in 2014. Her research interests are data integration, automatic extraction of metadata, semantic Web, description logics, probabilistic mapping, annotation, disambiguation of semi-structured data sources, recommendation systems, linked data, open government data. Home page: https://www.dbgroup.unimo.it/~po/ |
 Elena Demidova L3S Research Center, Leibniz Universität Hannover, DE | Dr. Elena Demidova is a Senior Researcher at the L3S Research Center in Hannover, Germany. In the past, Elena worked as a Senior Research Fellow at the Web and Internet Science (WAIS) Group, Electronics and Computer Science (ECS), University of Southampton, UK, as well as a researcher and a project manager at the L3S Research Center. Elena received her Ph.D. degree from the Leibniz Universität Hannover, Germany, in 2013 and her M.Sc. from the Universität Osnabrück (Germany) and the University of Twente (The Netherlands) in 2006. Elena has been involved in the leading roles in several large scale EU-funded and national projects including most recently Data4UrbanMobility, WDAqua ITN, ALEXANDRIA, FP7 IP ARCOMEM and KEYSTONE COST Action. Her work has been published throughout major conferences and journals, including ACM TWEB, ACM SIGIR, ACM CIKM, and IEEE TKDE, and she has been a reviewer and committee member for numerous scientific events and publications, most recently including the roles of PC member for ISWC, ESWC and CIKM conferences as well as guest editor for IJSWIS. Elena’s main research interests are in multilingual data analytics, Open Data and the Web. |
 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 Universitá 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. |
 Vagan Terziyan University of Jyväskylä, FI | Vagan Terziyan, Professor in Distributed Systems, Faculty of Information Technology, University of Jyväskylä (Finland). He got his M.Sc. Degree in Applied Mathematics (1981), PhD in Artificial Intelligence (1985), and Habilitation (1993) in Knowledge Engineering, - all from Kharkiv National University of Radioelectronics (Ukraine). He has also academic title of Professor in Software Engineering granted by the State Attestation Committee of Ukraine. His area of expertise includes distributed self-managed systems, semantic and agent technologies, cognitive computing and deep learning, artificial intelligence and others. |
 Sherif Sakr King Saud bin Abdulaziz University for Health Sciences and University of New South Wales, Sydney, Australia | Prof. Sherif Sakr is is currently a Professor of Computer Science at King Saud bin Abdulaziz University for Health Sciences. He is also affiliated with The School of Computer Science and Engineering (CSE) at University of New South Wales (UNSW Australia) and Data61/CSIRO (formerly NICTA). He received his PhD degree in Com- puter and Information Science from Konstanz University, Germany in 2007. He received his BSc and MSc degrees in Computer Science from the Information Systems depart- ment at the Faculty of Computers and Information in Cairo University, Egypt, in 2000 and 2003 respectively. In 2008 and 2009, Sherif held an Adjunct Lecturer posi- tion at the Department of Computing of Macquarie University, Australia. Prof. Sakr held a visiting Researcher/Professor appointments in international reputable research and academic institutes including Microsoft Research, Redmond, USA (2011), Nokia Bell Labs, Ireland - Formerly Alcatel-Lucent Bell Labs (2012), Humboldt-Universitt zu Berlin, Germany (2015), University of Zurich, Switzerland (2016), Technical Unversity of Dresden, Germany (2016). In 2013, Sherif has been awarded the Stanford Innovation and Entrepreneurship Certificate. Prof. Sakr is an IEEE Senior Member and an IEEE Distinguished Speaker. Home page: http://www.cse.unsw.edu.au/~ssakr/ |
 Jeremy Debattista Fraunhofer IAIS and Univ. of Bonn, DE | Jeremy Debattista is a research fellow at the ADAPT Centre in Trinity College Dublin, Ireland. He received his B.Sc (Hons) in Computer Science and AI from the University of Malta. Jeremy worked at the Digital Enterprise Research Institute (now Insight) in Galway Ireland between 2011 and 2013, where he was also awarded his Masters in Applied Science Degree. His research focused on rule-based modeling and event processing for ubiquitous devices. During his Ph.D (under the supervision of Prof. Dr. Sören Auer at the University of Bonn, Germany), Jeremy focused on pressing challenges related to Linked Data quality, including the application of probabilistic techniques for large Big linked datasets, and the definition of a novel meta-model for data quality. Jeremy was one of the main and active contributors in a recent W3C Data Quality vocabulary. He published a number of journal and conference publications in the field of Linked Data quality. Currently, Jeremy is the co-organiser of the MEPDaW series workshop (Managing the Evolution and Preservation of the Data Web) at the European Semantic Web Conference and has been a reviewer and committee member for a number of scientific events. Home page: https://www.scss.tcd.ie/~debattij/ |
 Antonio Farina Univ. of A Coruna, ES | Antonio Farina received his PhD in Computer Science in 2005 from the Uni- versity of A Coruna. 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. |
 Javier D. Fernandez Wirtschaftsuniversität Wien, AT | Javier D. Fernandez holds a PhD in Computer Science by the University of Valladolid (Spain), and the University of Chile (Chile). His thesis addressed efficient management of Big Semantic Data, proposing HDT, a binary RDF representation for scalable publishing, exchanging and consumption in the Web of Data. Dr. Javier D. Fernandez is currently a post-doctoral research fellow under an FWF (Austrian Science funds) Lise-Meitner grant. His current research focuses on efficient management of Big Semantic Data, RDF streaming, archiving and querying dynamic Linked Data. He has published more than 40 articles in international conferences and workshops and was editor of the HDT W3C Member Submission. |
 Miguel A. Martinez-Prieto University of Valladolid, ES | Miguel A. Martinez-Prieto is assistant professor in the Department of Computer Science at the University of Valladolid (Segovia, Spain). He completed his Ph.D in Computer Science from the same University in 2010 and held a post-doctoral fellow at the University of Chile (2010-2012). His main contributions are related to data compression and its application to the efficient encoding and querying of big datasets. He has published more than 60 articles in this area, highlighting his work on compressed RDF management and string dictionaries. His current research is focused on Big Data analytics for air traffic management. |
 Elmar Kiesling TU Wien, AT | Elmar Kiesling is a post-doctoral researcher at the Information & Software Engineering group at TU Wien, Austria, where he currently heads the Linked Data Lab. Before taking up this position, he was a senior researcher at Secure Business Austria, an industrial research center for IT security, and a doctoral researcher at the University of Vienna.His main research interests revolve around Linked Data and its adoption in an enterprise context as well as domains such as open government data and open science. At TU Wien, Elmar currently teaches courses on semantic web technologies, business process management, and business intelligence. He has contributed numerous publications in a wide range of research areas, including semantic web and linked data, operations research, decision support systems, agent-based simulation, security management, innovation management, and blended learning. |
 José R.R. Viqueira University of Santiago de Compostela, ES | José R.R. Viqueira is Associate Professor at the Department of Electronics and Computer Science of the Universidade de Santiago de Compostela (USC), Spain. Besides, he is founding member of the COGRADE (Computer Graphics and Data Engineering) research group of the USC and he is member of the research staff of the Centro Singular de Investigación en Tecnoloxías da Información (CITIUS). His current research lines are related to the management of very large scientific data sets, with special emphasis on spatio‐temporal and sensor data. He obtained a master (1998) and a PhD (2003) in Computer Science at the University of A Coruña. Since 1998 has been involved in research works related to spatial and spatio‐temporal data management, with special relevance in GIS applications and also in sensor data management. He is author of more than 50 international research papers and has participated in 23 competitive research projects (4 of them as principal investigador) and in more than 30 research and development contracts with companies and public administrations in topics related to the above ones (4 of them as main responsible). |
 Andreas Falkner Siemens, AT | Andreas Falkner is Senior Research Scientist at Siemens Corporate Technology (Research Group "Configuration Technologies") and Senior Key Expert for Product Configuration and Mass Customization. He holds a MS and a PhD degree in Computer Science from Vienna University of Technology. Since 1992 he has been developing product configurators for complex technical systems in various domains at Siemens. Currently he is involved in several projects concerning product configuration and data analytics (evaluation, support, implementation, research). |
 Navid Rekabsaz TU Wien, AT | Navid Rekabsaz is a researcher at the Information and Software Engineering group at TU Wien, Austria, where he currently pursues his PhD degree. He has been working in the group since 2014 on various projects, concerning professional search in domains such as patent, health, and social media. His research interests are in neural information retrieval, representation learning, and natural language processing. In his PhD, he focuses on the methods for learning semantic representations of words and adapting them for document retrieval. |
 Tomas Knap Semantic Web Company, AT | Tomas Knap works as an architect and researcher at Semantic Web Company, Austria. Tomas is responsible for UnifiedViews module in PoolParty Semantic Middleware, the main product of Semantic Web Company. Before joining Semantic Web Company, Tomas worked as an architect in software house EEA (Slovak company) and also for more than 5 years he was a researcher at Charles University in Prague, mainly focusing on Linked Data integration, quality, and management. |
 Martin Weber Catalysts, AT | Martin joined Catalysts in 2014, is an expert for artificial intelligence, natural language processing, data analysis, data science, voice interfaces, chatbots, and much more. He has been working with startups and is an active member of the local tech community (Technologieplauscherl, Hackathons, SoCraTes unconference, etc.). |
 Wasif Masood T-Mobile, AT | Wasif Masood did his master in computer science from RWTH Aachen Germany in 2011. During that time, he was also a part-time employee at Euro-lab Ericsson Herzogenrath Germany. In 2016, he finished his PhD in Information technology from University of Klagenfurt Austria where he focus on the need of time synchronization in distributed computing for IoT devices. During the period of his thesis evaluation, he was employed by Samsung SDI Graz Austria. Since beginning of 2016, he has been working as a Data Scientist in T-Mobile Austria. |
