Andrea Burattin
In 2013 Andrea Burattin received the PhD degree in Computer Science from a joint program between the University of Bologna and the University of Padua.
The title of his PhD thesis is "Applicability of Process Mining Techniques in Business Environments". He spent several months at the Technical University of Eindhoven working with Wil van der Aalst and his team. He is still actively collaborating with this group. His research interests include the deploy of process mining techniques in industrial environments, automatic parameters configuration of mining algorithm, control-flow discovery and online mining of data and event streams.

Fabrizio M. Maggi
Fabrizio Maria Maggi received his PhD degree in Computer Science in 2010 from the University of Bari, Italy, and after a period at the Architecture of Information Systems (AIS) research group - Department of Mathematics and Computer Science - Eindhoven University of Technology, he is currently a research fellow at the Software Engineering Group - Institute of Computer Science - University of Tartu. He authored more than 40 articles in journals, such as ACM Transactions on Intelligent Systems and Technology, Information Systems, and highly competitive conference including BPM, CAiSE, Petri nets, and CoopIS. The main topics of his publications are process mining, (declarative) business process modeling and business constraints/rules, monitoring of business constraints at runtime.

Marcello Leida
Marcello Leida received his PhD in Computer Science from the Universita` degli Studi di Milano as part of a joint research collaboration effort between the Intelligent Systems Research Centre in BT and the Knowledge Management Group of Universita` degli Studi di Milano. Prior to joining EBTIC, he was Postdoc Researcher at the BT Group’s Intelligent Systems Lab (Ipswich, UK). He is leading several projects focused on big data analysis, process mining, semantic web, stream processing, visual analysis and machine learning techniques applied to process analysis. He is principal investigator on the Process Mining and Real Time Big Data analysis projects, he is responsible of the deployment of process mining solutions in big enterprises.

Program Committee
  • Rafael Accorsi, University of Freiburg, Germany
  • Mario Luca Bernardi, University of Sannio, Italy
  • Josep Carmona, Universitat Politecnica de Catalunya, Spain
  • Paolo Ceravolo, University of Milan, Italy
  • Jonathan H. Chan, King Mongkut's University of Technology Thonburi, Thailand
  • Marta Cimitile, Unitelma Sapienza, Italy
  • Jan Claes, Ghent University, Belgium
  • José Alfredo F. Costa, Federal University (UFRN), Brazil
  • Jochen De Weerdt, KU Leuven, Belgium
  • Claudio Di Ciccio, Vienna University of Economics and Business, Austria
  • Chiara Di Francescomarino, Fondazione Bruno Kessler, Italy
  • Basim Majeed, EBTIC, United Arab Emirates
  • Andrea Marrella, Sapienza - Università di Roma, Italy
  • Massimo Mecella, Sapienza - Università di Roma, Italy
  • Marco Montali, Free University of Bozen-Bolzano, Italy
  • Tijs Slaats, IT University of Copenhagen, Denmark
  • Alessandro Sperduti, University of Padua, Italy
  • Paul Taylor, BT Technology, Service & Operations, United Kingdom
  • Philip Weber, University of Birmingham, United Kingdom