Alexander Felfernig is a full professor at the Graz University of Technology (Austria) since March 2009 and received his PhD in Computer Science from the University of Klagenfurt. He directs the Applied Software Engineering (ASE) research group. His research interests include  configuration systems, recommender systems, model-based diagnosis, software requirements engineering, different aspects of human decision making, and knowledge acquisition methods. Alexander Felfernig has published numerous papers in renowned international conferences and journals (e.g., IJCAI, ECAI, ACM Recommender Systems, ACM Intelligent User Interfaces, AI Magazine, Artificial Intelligence, IEEE Transactions on Engineering Management, IEEE Intelligent Systems, Journal of Electronic Commerce) and is a co-author of the books on "Recommender Systems" published by Cambridge University Press and ”Knowledge-based Configuration – From Research to Business Cases” published by Elsevier/Morgan Kaufmann. He also acted as an organizer of international conferences and workshops such as the ACM Conference on Recommender Systems, the International Symposium on Methodologies for Intelligent Systems, and the International Workshop on Configuration. He is a member of the Editorial Board of Applied Intelligence and the Journal of Intelligent Information Systems. He currently manages two Horizon2020 research projects in the area of recommender systems and one Bridge1 research project on the national level that deals with the development of group decision technologies for complex products and services.