Keynote speaker: Prof. Barbara Weber

barbara weberBarbara Weber is a full professor and head of the software engineering section at the Technical University of Denmark (DTU). Moreover, she holds an associate professor position at the Department of Computer Science at the University of Innsbruck (Austria), where she leads the research cluster on business processes and workflows. Barbara holds a Habilitation degree in Computer Science and a Ph.D. in Economics from the University of Innsbruck. Barbara has published more than 120 refereed papers, for example, in Nature Scientific Reports, Information and Software Technology, Software and System Modeling, Science of Computer Programming, Information Systems, and Data & Knowledge Engineering. She is co-organizer of the Cognise workshop series (held in conjunction with CAiSE conference), was PC chair of XP 2013 and BPM 2013, General Chair of BPM 2015, and is member of the BPM Steering Committee. She has been serving as editorial board member for the Information Systems journal and the Computing journal. Barbara’s research interests include human and cognitive aspects of software and information systems engineering, process model comprehension, process of process modeling, process mining, process-aware and neuro-adaptive software systems.

Keynote speaker: Dr. Marcus Ciolkowski

Dr. Marcus Ciolkowski is Principal IT Consultant at QAware GmbH, an independent software manufacturer and consultancy that has been repeatedly awarded Best IT Workplace in Germany by kununu and the Great Place to Work Institute.
QAware analyzes, renovates, invents, and implements software systems for customers whose success heavily depends on IT.
Marcus Ciolkowski is expert for empirical, statistical, and data engineering methods in Software Engineering. He has been project lead and business architect for several information systems projects in the telecommunication and automotive domain.
He is currently chief business architect for an enterprise search application within the automotive domain that connects and indexes information from more than 20 backend systems and is used world-wide. The project uses an agile process and has been running since 2012 with 20 developers on average.