Panagiotis Germanakos, Ph.D., is User Experience Research Expert and Instructor at SAP SE, leading and supporting the user research activities of product teams for delivering usable, high quality, human-centred solutions. He is also Research Scientist, serving as liaison between the business and academia, conducting basic/applied research, consulting and transferring knowledge that shapes innovations.

Prior to SAP he was co-founder and Deputy Head of the Semantic and Cognitive Research Adaptivity Technologies Research Group (SCRAT), of the University of Cyprus; ERCIM Post-doctoral Research Fellow in the Web Applications for the Future Internet Research Group in IIT-CNR, Italy; and Assistant Professor at the Department of Management and MIS, University of Nicosia, Cyprus.

He has an interdisciplinary background which lies in the cross-borders of Computer Science, Psychology and Business Informatics disciplines and he holds a PhD from the National & Kapodistrian University of Athens (2008). His research interests are in UX, Human-Computer Interaction, Adaptive Cognitive Systems, Web Personalization, User Modeling -- bringing the ‘human-in-the-loop’, Human-centred Artificial Intelligence.

Panagiotis has over 120 publications in accredited scientific books, journals and conferences. He has co-authored a monograph and co-edited 4 other books. His work has obtained a number of awards including a best paper award at SouthCHI 2013 and a best student paper award at AH 2008, and 3 best paper nominations. He has published 3 utility and 2 design patents and he is co-founder/ organizer of international scientific events like HAAPIE and HUMANIZE workshops. In addition, he has been participating during the years in numerous editorial, board and program committees of top journals, conferences and workshops like ACM UMAP, ACM IUI, INTERACT, ACM CHI, HCI International, etc., and he is a member of various international research networks and professional bodies like ACM, AIS, Expert Network of HCI-KDD (HCI - Knowledge Discovery & Data Mining).

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