Willem received his PhD at VU University Amsterdam and TNO for work on Ontology Alignment for Information Integration. His main research topics in the past 10 years are semantics, augmented sense making, visual analytics, information integration, and text mining.

He is a co-organizer of the LISC and DeRiVE workshop series; the Ontology Alignment Evaluation Initiative (OAEI); and the Linked Science Tutorial series about improving the speed, efficiency and transparency of Web research.

He has developed the Simple Event Model (SEM), an OWL ontology for the description of event data; spatiotemporal indexing for SWI-Prolog (awarded with a best paper award at the EKAW 2010 conference), and the SPARQL package for the R statistical programming language.

Willem was Chief Data Scientist at SynerScope B.V. where, as member of the management team, he helped to bring in a Series A investment. He developed various interactive visual analytics techniques for free text and brought them to the market in the fields of logistics, financial services.

Since 2013 he is guest researcher at the Web & Media group of the VU University Amsterdam, where until that time he was Assistant Professor, and gives lectures at various higher education institutions, such as TIAS, the Amsterdam Business School, Hogeschool InHolland, TU Delft and the University of Amsterdam.

Dr. Adam S.Z. Belloum is an assistant professor in the System and Network Engineering (SNE) research group at the Institute of Informatics of the University of Amsterdam. 

He’s a member of the MultiScale Networked Systems (MNS) part of Systems and Networking Lab (SNE) of the informatics institute of the University of Amsterdam. He received the MSc and PhD degrees from the Université de Technologie de Compiègne, France. He is leading the research on optimal scheduling of complex distributed data intensive scientific application on e-Infrastructure, and developing methods and techniques for managing data across federated storage. He has participated in a several research projects and a number of Dutch funded projects (VLAMGVL-eCOMMIT, (gSLMVPH-shareEDISON. Currently leading research activities in two research projects logistics on Data logistics for (DL4LD ), and health Enabling Personal Interventions(EPI ). For more information, see also https://aszbelloum.wixsite.com/aszbelloum/.

Carlos obtained his PhD in Computer Science at the University of Exeter. Afterwards he worked on various research projects at the University of Exeter and Plymouth University in collaboration with industrial and academic partners in a wide range of topics: automatic detection of abnormal energy consumption in buildings, video tracking of dairy cows, modelling high performance storage systems and segmentation of medical images.

At the eScience Center, he has worked as an engineer in diverse projects in digital humanities and life sciences, developing expertise in natural language processing, linked open data and software sustainability. He is also a certified Software Carpentry instructor and is frequently involved in organising trainings.

As Technology Lead Efficient Computing, Jason is involved in many of the projects at the Netherlands eScience Center that apply parallel and distributed programming to scientific applications. In addition, he guides internal software development at the center and scouts for new software technology that can be used in our projects.

In the past, he has participated in many research projects, such as EU FP5 GridLab, the Dutch Virtual Labs for eScience, StarPlane, PROMM-GRID, and COMMIT, where he has worked on a range of topics related to large scale distributed computing. In these projects he has developed a monitoring system for a world-wide Grid, robust communication libraries, programming models for computing on heterogeneous distributed systems, and several eScience applications that use dynamically allocatable optical networks.

Elena received a PhD degree in Computer Science from Trinity College, Dublin, Ireland in 2003 with a dissertation on the topic of 3D texture analysis and modelling with application to MRI brain images.

Since then she works in the Netherlands on variety of interdisciplinary projects and application areas. At the Centrum Wiskunde en Informatica (CWI), Amsterdam, Elena worked on European and NWO projects for photo-identification of cetaceans. Her paper on saliency detector for the photo-identification has been awarded a best paper award at GVIP’ in 2005.

In 2007 Elena worked at the Dutch center for applied research TNO on object recognition tools for assisting the police investigators in their work. Between 2008 and 2012 she was part of the R&D team of Prime Vision, B.V., Delft developing OCR and indicia recognition software for the postal industry. In 2012 Elena has also worked at CWI on a project for automatic monitoring via camera and other sensor networks for assessing the risk of forest fires in cultural heritage regions of Southern Europe.

Elena joined the Netherlands eScience Center as eScience Engineer in 2013 to work on medical imaging and other multidisciplinary projects. Between 2014 and 2019 , she has been an eScience Coordinator being the line-manager of several engineers and coordinating many eScience collaborative projects mostly in the climate, biomedical imaging, ecological and other domains.

Since the spring of 2019 she is the technology lead data analytics. Elena is also doing research and development of generic cross-project tools for image processing and has interests in explainable artificial intelligence.

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