Learn involves how to extract information from data that makes systems smart and adaptive or even autonomous. Since the generation and storage of data will often be distributed, there is a strong need for efficient distributed data analytics. A fundamental understanding of how machine learning algorithms extract information from data is still missing, and the impact of the data on the learning process and the resulting bias is hardly understood. This gives rise to questions concerning legal safeguards and the rule of law.
If you are interested in joining the working group, please feel free to contact the chair.
Professor, Division of Theoretical Computer Science at KTH, Member of the Strategic Research Committee, Chair working group Learn, Digital Futures Facultyargioni@kth.se
Assistant Professor, Department of Mathematics at KTH, Vice Chair Working group Learn, Digital Futures Faculty+46 8 790 81 19
Assistant Professor at KTH EECS, Working group Learn, Co-PI of project Seed funding for large grant proposals, Co-PI of project Data-driven cardiovascular assist devices, Digital Futures Facultybaue@kth.se
Professor and Dep. Head of Division at Division of Speech, Music and Hearing at KTH, Working group Learn, Co-PI of research project Advanced Adaptive Intelligent Systems (AAIS), Digital Futures fellow, Digital Futures Faculty+46 8 790 89 65
Professor, Division of Software and computer Systems at KTH, Working group Learn, Digital Futures fellow, Digital Futures Faculty+46 8 790 43 06
Associate Professor, Computer Science, Division of Computational Science and Technology at KTH EECS, Co-PI of research project Humanizing the Sustainable Smart City (HiSS), Co-Supervisor for Postdoc project Intelligence through reasoning, Digital Futures Faculty+46 8 790 65 13
Senior lecturer, Department of Computer and Systems Sciences at Stockholm University, Working group Learn, Digital Futures Faculty+46 8 16 16 91
Senior Research Scientist, Swedish Institute of Computer Science at RISE, Adjunct professor at KTH Royal Institute of Technology, Working group Learn, Digital Futures Faculty+46 10 228 43 13
Associate Professor, Department of Robotics, Perception and Learning at KTH, Working group Learn, PI of research project Advanced Adaptive Intelligent Systems (AAIS), Supervisor for Postdoc project Designing Gamified Robot-Enhanced Interventions for Children with Neurodevelopmental Disorders, Supervisor for postdoc project On The Feminist Design of Social Robots and Designing Robots For Young People, With Young People, Digital Futures Facultyiolanda@kth.se
Professor, Division of Decision and Control Systems at KTH, Working group Learn, Co-PI of research project Data-Limited Learning of Complex Dynamical Systems, Digital Futures fellow, Digital Futures Faculty+46 8 790 63 51
Associate Professor, Division of Computational Science and Technology at KTH, Working group Learn, Digital Futures Faculty+46 8 790 64 37
Assistant Professor at KTH SCI, Working group Learn, Co-PI of project cAIMBER: Causal Artificial Intelligence for Human Mobility Behavior Analysis Using Trajectory Data, Digital Futures Faculty+46 8 790 65 85
Associate Professor, Division of ISE at KTH EECS, Supervisor for Postdoc project Intelligent wireless communications and high-accuracy positioning systems, Working group Learn, Co-supervisor of Industrial Postdoc project: SMART – Smart Predictive Maintenance for the Pharmaceutical Industry, Digital Futures Faculty+46 8 790 65 77