Anna Wilbik is professor in Data fusion and Intelligent Interaction at DKE, Maastricht University. She received her PhD (with honors) in Computer Science from the Systems Research Institute, Polish Academy of Science, Warsaw, Poland, in 2010. In 2011, she was a Post-doctoral Fellow with the Department of Electrical and Computer Engineering, University of Missouri, Columbia, USA. Anna is an alumnus of the Stanford University TOP500 Innovators: Science – Management – Commercialization Program. From 2013 till 2020 she was an Assistant Professor in the Information Systems Group of the Department of Industrial Engineering and Innovation Sciences at Eindhoven University of Technology (TU/e). She translated several academic books for PWN Polish Scientific Publishers. Currently she is also a vice-chair of The Fuzzy Systems Technical Committee (FSTC) of CIS IEEE and chair of task force on Explainable Machine Learning of CIS IEEE. Her research interests include: interpretable decision making models, information and data fusion, federated learning.
Adriana Iamnitchi is Professor of Computer Science and Engineering at University of South Florida. Her research lies at the intersection of distributed systems and social computing. The overarching goal of her current work is empirical analysis of phenomena in online social environments and designing solutions for modeling them. Her work has been funded by the National Science Foundation, Office for Naval Research, and DARPA. She has served on the Technical Program Committee of numerous conferences in distributed systems and online social networks, such as HPDC, WWW, and ICDCS. Iamnitchi has been Associate Editor for IEEE Transactions on Parallel and Distributed Systems and Elsevier Online Social Networks and Media. She holds a PhD in Computer Science from The University of Chicago and is an ACM Distinguished Member, IEEE Senior Member, and recipient of the National Science Foundation CAREER award.
Dr Rachel Cavill is an assistant professor in the department of Data Science and Knowledge Engineering (DKE) at Maastricht University. After receiving her MMATH in Mathematics and Computer Science from the University of York in 2002, she continued at the same institution and received her PhD in 2007, developing bio-inspired machine learning algorithms. She transitioned into the field of bioinformatics during her postdoc years. During this time she spent four years working at Imperial College London, focusing on the analysis of ‘omics’ data, in particular, the integration of datasets acquired using different technologies on matched samples. This theme of data integration continues in her current research taking a broader form, as she and her team explore how machine learning and data science approaches can allow us to integrate biological datasets from different sources.
Anne is the Director of Science Strategy at TNO. She is responsible for the knowledge position of TNO’s unit Strategic Analysis and Policy. She is a senior researcher with over fifteen years’ experience in the fields Digital Government, Public Administration and Information Systems. Widely published on data-driven policy making, the societal impact of big and open data, emerging technologies such as artificial intelligence in public service delivery, and the impact of digitalization on organizations and governance. Set up TNO’s Policy Lab initiative, conducting experiments with data-driven policy making in collaboration with government organizations.
Associate Professor IDS, Faculty of Science and Engineering