Jussi Kangasharju received his MSc from Helsinki University of Technology in 1998. He received his Diplome d'Etudes Approfondies (DEA) from the Ecole Superieure des Sciences Informatiques (ESSI) in Sophia Antipolis in 1998. In 2002 he received his PhD from University of Nice Sophia Antipolis/Institut Eurecom. In 2002 he joined Darmstadt University of Technology (TUD), first as post-doctoral researcher, and from 2004 onwards as assistant professor. Since June 2007 Jussi is a professor at the department of computer science at University of Helsinki. Between 2009 and 2012 he was the director of the Future Internet research program at Helsinki Institute for Information Technology (HIIT). Jussi's research interests are information-centric networks, edge and cloud computing, content distribution, opportunistic networks, and green ICT. He is a member of IEEE and ACM.
Tomi Männistö is a professor of Empirical Software Engineering Research Group in the Department Computer Science of the University of Helsinki . His research interests include product requirements and software architectures, software products, software intensive services, product variability and conceptual modelling. Currently, the research is also working on the software engineering paradigm called continuous experimentation in which data from real usage of software is collected and analysed for decision-making in software development.
Teemu Roos is a Professor of Computer Science at the University of Helsinki. He is also the leader of the AI Education programme at the Finnish Center for AI. Roos is the lead instructor of the Elements of AI online course has a pivotal role in Finland's unique, inclusive AI strategy, with over 450 000 participants to date. Keywords: artificial intelligence, machine learning, data science
Professor of Computer Science, Vice Dean of Faculty of Science (academic affairs). Works on artificial intelligence (AI), data science and computational creativity.
Associate Professor of Data Science (Machine Learning and Artificial Intelligence).
Coordinating Professor of Research Programme in Privacy-preserving and Secure AI at the Finnish Center for Artificial Intelligence FCAI.
Deputy director and steering group member of Master's Programme in Data Science, University of Helsinki.
Permanent Expert, Steering Group of Health and Social Data Permit Authority Findata.
Action Editor, Journal of Machine Learning Research (Machine Learning Open Source Software section).
Associate Editor, Statistical Applications in Genetics and Molecular Biology.
I act as Vice-Director for HIIT and for HiDATA and I am in the management of FCAI. Helsinki Institute for Information Technology HIIT is a joint research institute of University of Helsinki and Aalto University. Helsinki Centre for Data Science HiDATA and Finnish Center for Artificial Intelligence FCAI operate in the framework of HIIT.
I'm university lecturer and docent in computer science and teach courses on computer organisation, operating systems, and data analysis with Python during study year 2020-2021. I also actively participate in research, e.g., on developing novel methods for exploratory data analysis combining the capabilities of the human and the computer. My research interests spans from constraint-based reasoning and knowledge representation to data analysis, and, in particular, the combinations therein. For more information see https://sites.google.com/site/emiliaoikarinen/
I am an Academy Research Fellow at the Department of Computer Science. My research interests include string algorithms and bioinformatics. Currently I work especially with problems related to genome assembly.
Teaching post-graduate courses in the area of Software, supervising Master's Thesis, doing research in Software Engineering