people and organization
“No one shall disturb fuzzy circles” – Sara D‘Onofrio
Founder and Board
FMsquare was founded in 2016 by Andreas Meier, who served as president until 2020. Since 2021, the foundation is chaired by Edy Portmann and Gwen Wilke.
Andreas Meier is an emeritus professor of data science at the faculty of economics and social sciences of the University of Fribourg. After music studies in Vienna, he graduated in mathematics at the Federal Institute of Technology (ETH) in Zurich and got a Ph.D. and habilitation degree at the institute for computer science. He conducted research at the IBM Research Lab in California, was a systems engineer at IBM Switzerland, a director at a swiss bank corporation, and a member of the executive board of the CSS insurance company. His research areas included eBusiness, eGovernment, and information management.
Edy Portmann is Swiss Post Professor of Informatics at the Human-IST Institute of the University of Fribourg and member of the board of the Swiss Informatics Society. After an apprenticeship as an electrician, he studied information systems, business as well as economics and, later, got a doctorate in computer science. Among others, he worked for Swisscom, PwC, and EY. In addition, Edy Portmann was also a researcher at the universities of Singapore, Berkeley, and Bern. His transdisciplinary research focuses on cognitive computing and its application to the network industry.
Gwen Wilke is a lecturer of Data Analytics and Mathematics at the University of Applied Sciences Northwestern Switzerland (FHNW). She studied mathematics at the University of Vienna and the Technical University of Berlin, and received her Ph.D. from the Technical University of Vienna in the field of Geographic Information Science, specializing in Fuzzy Geometries. Among others, she was a guest researcher at the Berkeley Initiative in Soft Computing (BISC) at the University of California, Berkeley. Her research interests focus on Data Analytics and Human Data Interaction.
Sara D’Onofrio is IT Business Partner Manager of one of the largest retail companies in Switzerland, author and editor of the journal HMD Praxis der Wirtschaftsinformatik at Springer, guest lecturer at universities, and member of the FMsquare Foundation. She studied business administration and information systems and holds a Ph.D. in computer science. Her research and consulting interests include innovation, smart cities, and cognitive computing.
Michael Kaufmann is professor at the Lucerne University of Applied Sciences and Arts, School of Information Technology. He is coordinator of the research team Data Intelligence, examining methods and technologies for intelligent data management. Michael Kaufmann studied computer science, law and psychology at the University of Fribourg. With extra-occupational doctoral studies, he received his Ph.D. in Computer science on the topic of inductive fuzzy classification in marketing analytics. He worked at PostFinance as a data warehouse poweruser in corporate development; Later on, at Mobiliar Insurance as a data architect in the enterprise architecture unit; and as a business analyst at FIVE Informatik AG. Since 2014 he works at the Lucerne University of Applied Sciences in teaching and research.
Luis Terán is a senior researcher in cognitive computing at the Human-IST Institute, University of Fribourg, Switzerland, and external lecturer at the Lucerne University of Applied Sciences and Arts. Dr. Teran holds an M.Sc. degree in communication systems from the Federal Institute of Technology, Lausanne (EPFL), as well as a Ph.D. and a habilitation in computer science from the University of Fribourg. He was a researcher at the Universities of Bern and Zurich, and a Full Professor at Universidad de Las Fuerzas Armadas (ESPE), Ecuador. His research interests include Data Science, digitalization, information systems, machine learning, explainable artificial intelligence, recommender systems, human-centered computing, e-business, e-government, e-participation, e-democracy, e-health, and fuzzy classification.
Witold Pedrycz is Professor and Canada Research Chair in Computational Intelligence in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland. In 2012 he was elected a Fellow of the Royal Society of Canada and in 2009 he was elected a foreign member of the Polish Academy of Sciences. In 2007 he received a prestigious Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Society. Besides he is a recipient of the IEEE Canada Computer Engineering Medal, a Cajastur Prize for Soft Computing from the European Centre for Soft Computing, a Killam Prize, a Fuzzy Pioneer Award from the IEEE Computational Intelligence Society, and the 2019 Meritorious Service Award from the IEEE Systems Man and Cybernetics Society. His main research directions involve Computational Intelligence, fuzzy modeling, and Granular Computing, knowledge discovery and data science, pattern recognition, data science, knowledge-based neural networks among others.