MoBiD 2017
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The sixth International Workshop on Modeling and Management of Big Data (MoBiD)
Nov. 6th-9th, 2017, Valencia Spain

In conjunction with the 36th International Conference on Conceptual Modelling (ER2017)



David Gil
Department of Computing Technology and Data Processing
University of Alicante, Spain

David Gil is an associated professor at the Department of Computing Technology and Data Processing at the University of Alicante, Spain. David received a Ph.D. in Computer Science from the University of Alicante (Spain) in 2008. His research interests include Applications of Artificial Intelligence, data mining, data warehouses, multidimensional databases, OLAP, design with UML, and MDA. He has published papers in high quality international conferences such as IJCNN, SAC, HEALTHINF, DCAI, SCAI, SAIS, etc. He has also published papers in highly cited international journals such as Expert Systems With Applications, Applied Soft Computing. Dr. Gil has served as a Program Committee member of several conferences and workshops such as DAWAK, ARES and CaiSE. He is a reviewer of several journals such as Neurocomputing, Expert Systems with applications and Soft Computing. He is also involved in the organization of several international workshops (MoDIC'12, MoBiD'13-16)

Thomas Bäck
Leiden University & divis intelligent solutions GmbH, The Netherlands

Thomas Bäck is head of the Natural Computing Research Group at the Leiden Institute of Advanced Computer Science (LIACS). He has more than 250 publications on data science and nonlinear global optimization and decision support, is the author of a book on evolutionary algorithms, entitled Evolutionary Algorithms in Theory and Practice, and co-editor of the Handbook of Evolutionary Computation. He is editorial board member and associate editor of a number of journals on evolutionary and natural computation, co-editor of the Natural Computation Book Series (Springer), and has served as program chair for all major conferences in evolutionary computation. He is an elected fellow of the International Society for Genetic and Evolutionary Computation for his contributions to the field. In 2015, he received the prestigious IEEE Evolutionary Computation Pioneer Award for his contributions in synthesizing evolutionary algorithms. His research interests are also in applications of data science and optimization to the life sciences, and in industrial applications in areas such as industry 4.0, process optimization, and product development. In his research projects, he collaborates with companies such as BMW, Honda Research, Tata Steel, and many others.

Nicholas Multari
Pacific Northest National Laboratory
Richland, WA 99352, U.S.A.

Dr. Nick Multari received a bachelor's degree in mathematics from Manhattan College, New York, a Masters in computing and information science from Trinity University, Texas, and a Ph.D. in computer science from the University of Texas at Austin. He has held a number of positions over a 40-year career including his current position at PNNL where he leads the lab's Asymmetric Resilient Cybersecurity Initiative, a multi-year investment whose objective is to create more secure and resilient infrastructures by moving the asymmetric advantage of the attacker to the defender. Dr. Multari is co-chair of the IEEE Workshop on Cyber Resilience Economics, has been an invited speaker at a number of international venues, and served as a consultant to the USAF Scientific Advisory Board (SAB) investigating the effects of the contested cyber environment on the USAF mission. Dr. Multari is also an associated editor of the Data & Knowledge Engineering Journal, is the chair of the external advisory board to the Department of Electrical and Computer Engineering as well as a member of the board for the Software Engineering Program at Iowa State University.

Juan Trujillo
Department of Software and Computing Systems
University of Alicante, Spain

Juan Trujillo is a Full Professor at the Department of Software and Computing Systems in the University of Alicante, Spain, and the leader of the Lucentia Research Group. His main research topics include Business Intelligence applications, Business Intelligence 2.0, Key Performance Indicators (KPIs), data warehouse development, OLAP, data mining, UML, MDA, and data warehouse security & quality. He has participated in the official registration of different tools related to Data Warehouse modelling. He has advised 11 PhD students and published more than 180 papers in different highly impact conferences such as the ER, UML or CAiSE, and more than 30 papers in highly ranked peer-reviewed journals such as the DKE, DSS, ISOFT, IS, or JDM. He has also been co-editor of five special issues in different JCR journals such as DKE, DSS, and IJDWM. He has also been PC member of conferences and reviewer of JCR journals such as ER, CIKM, ICDE, DOLAP, DSS, JDM, or DKE, and PC co-Chair of DOLAP'05, DAWAK'05-'06 and FP-UML'05-'09, and ER2013. Further information on his main research publications can be found on:

Heike Trautmann
ERCIS, University of Münster, Germany

Heike Trautmann is a Professor of Information Systems and Statistics at the University of Münster, Germany, and Vice Dean for International Affairs, School of Business & Economics, WWU Münster. She is a Director of the European Research Center for Information Systems (ERCIS) in Münster and currently also holds the Pascal chair at the LIACS instiute in Leiden (The Netherlands). From 2001 to 2002, she worked as Business Analytics Consultant, Roland Berger Strategy Consultants in Munich, Germany. Her current research activities are focused on multiobjective (evolutionary) optimisation as well as algorithm selection and benchmarking concepts for continuous and combinatorial optimization. Moreover, she has several Big Data projects with industry, in particular on Customer Relationship Management as well as on propaganda detection in online media, funded by the German ministry of education.

Jesús Peral
Department of Software and Computing Systems
University of Alicante, Spain

Jesús Peral is an assistant professor at the Department of Software and Computing Systems in the University of Alicante. He obtained his PhD in Computer Science from the University of Alicante (2001). His main research topics include: Natural Language Processing, Information Extraction, Information Retrieval, Question Answering, data warehouses and Business Intelligence applications. He has participated in numerous national and international projects, agreements with private companies and public organizations related to his research topics. He has published many papers (more than 40 papers) in Journals and Conferences related to his research interests.

Gottfried Vossen
ERCIS, University of Münster, Germany

Gottfried Vossen is a Professor of Computer Science in the Department of Information Systems at the University of Münster in Germany. He is a Fellow of the German Computer Science Society and an Honorary Professor at the University of Waikato Management School in Hamilton, New Zealand. He is the European Co-Editor-in-Chief of Elsevier's Information Systems - An International Journal, and a Director of the European Research Center for Information Systems (ERCIS) in Münster. His research interests include conceptual as well as application-oriented challenges concerning databases, information systems, social business process modeling, and Web applications, cloud computing, and big data. His research group at Münster currently works on data marketplaces and data pricing, data profiling, architecture development for big data analytics, and the introduction of gamification into business process modelling.

Il-Yeol Song
College of Computing and Informatics
Drexel University
Philadelphia, PA 19104, U.S.A.

Dr. Il-Yeol Song is professor in the College of Computing and Informatics of Drexel University, Director of Doctoral Program in Information Studies in his college, and Deputy Director for NSF Research Center on Visual & Decision Informatics. He is also an affiliated professor of Computer Science Department of KAIST, Korea. He is an ACM Distinguished Scientist and an ER Fellow. His research interests include conceptual modeling, data warehousing & OLAP, CRM, big data management & analytics, and smart health & healthcare informatics. Dr. Song published over 200 peer-reviewed papers and co-edited 22 proceedings. He is a co-Editor-in-Chief of Journal of Computing Science and Engineering (JCSE) and is in an editorial board member of DKE, JDM, IJEBR, and JDFSL. He won the Best Paper Award in the IEEE CIBCB 2004. He won 14 research awards from competitions of annual Drexel Research Days. Dr. Song currently serves as the Steering Committee member of the ER conference. He is also a steering committee member of DOLAP and ADFSL conferences. He served as a program/general chair of over 20 international conferences/workshops including DOLAP'98-13, CIKM'99, ER'03, FP-UML'06, DaWaK'07-'08, , DESRIST'09, CIKM'09, and MoBiD'13-14

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