Coauthor of Big Data: A Revolution That Will Transform How We Live, Work, and Think. He explores the amazing new possibilities of big data.
Deputy head of Department of Applied Mathematics and Computer Science (DTU Compute) EU Horizon2020 expert and member of the NTF evaluation panel for Nano-Tera
Associate professor at DTU Compute, where he teaches and conducts research in the areas of privacy, security and trust.
Business Unit Manager at KMD, holds a M.Sc, Computer Science from DTU. A background in GIS and has over time worked for different companies with focus on digitalization, analytics and GIS.
Holds a Master in Science in Public Administration from AAU. More than 15 years of experience working with organizational and management development in the public sector as management consultant and manager.
Deputy Director at the Alexandra Institute and Professor of applied artificial intelligence and the Norwegian University of Science and Technology.
Analytics Architect at IBM Nordics. His role is to infuse analytics and innovation into organisations. Finding the right use cases, supported by data and converting them into a viable solution.
Analytics Architect in IBM Denmark. During the last 5 years , Søren has been developing and delivering Big Data & Analytics solution architecture for key IBM customers across multiple industries. and Nordic countries.
Senior IT Specialist at IBM, working with Big Data (noSQL) and streaming technologies in a pan-European role. Claus has worked with database technologies and data warehousing.
Associate, Bech-Bruun, advises Danish and foreign businesses as well as public authorities on data protection law and compliance, including data protection compliance audits, analyses and due diligence in connection with business transfers.
Associate Professor at the Department of Applied Mathematics and Computer Science, DTU. Currently working in the intersection between physics, sociology, and computer science.
Senior Business Analyst at Maersk Line and former Associate Professor at DTU Compute, the Section for Statistics and Data. Analysis. Research interests include: Data science, machine learning, statistical learning, spectral image analysis.
Associate Professor in the Algorithms, Logic, and Graph Theory group (AlgoLog) at DTU Compute. scientific interest is in data structures with focus on data compression, pattern matching, approximation algorithms.
Associate professor in the Algorithms, Logic, and Graph Theory group (AlgoLog) at the Technical University of Denmark, Department of Applied Mathematics and Computer Science.
Associate professor and he is affiliated both with the Scientific Computing section at DTU Compute, and with the HPC Competence Center at DTU.. Dammann works with all aspects of High-Performance Computing.
Associate professor at the Software Engineering Section of DTU Compute. Kindler’s main research interest is in Model-bases Software Engineering (MBSE) and Business process management.
Associate Professor and Head of Section at the Section for Image Analysis and Computer Graphics (IACG) at DTU Compute. Scientific interest is Computer Vision, Object Recognition, Object Classification, 3D Reconstruction.
Assistant Professor in Cognitive Systems and Head of Studies for the Digital Media Engineering MSc program at DTU Compute 30 years of experience within digital media engineering.
Professor of Market Strategy and Business Development at Copenhagen Business School. Academic Director of the CBS Competitiveness Platform and leads the “From Big Data to Big Business” research project.
Chairman of entrepreneurship at ETH Zürich, part-time professor in Entrepreneurship at Imperial College London Business School. Co-founded a portfolio of successful start-ups in businesses such as digital cinema, mobile internet and venture incubation.
Program Director at DTU Busines with more than 25 years professional experience from international business consulting and corporate leadership positions. Besides holding an Executive MBA from CBS, he has earned two Ph.d.’s from Kyushu University, Japan and University of Copenhagen, respectively, as well as an M.A. in Industrial Planning.
Professor, head of section, at DTU Compute. His work is mainly on applied statistics and data analysis: Research based Consultancy, Big Data, Image Analysis, Image Processing and Multivariate Statistics.
Professor at the Technical University of Denmark and from 2010 to 2015 director of DTU Compute. Her scientific field interests are on learning objects, e-learning, learning platforms and student based learning.