Cooperate
Cooperate recognises that systems are to an ever-increasing degree distributed and interconnected; creating new opportunities, but also increasing design and implementation complexity. Although decisions and operations may be distributed, the system components need to be cooperatively designed to ensure flexibility, efficiency and resilience. Furthermore, technology should support the collaboration between humans, and between humans and intelligent systems.
If you are interested in joining the working group, please feel free to contact the chair.
György Dán
Professor, Division of Network and Systems Engineering at KTH, Member of the Strategic Research Committee, Chair working group Cooperate, PI of research project Susan’s Ride on Campus2030, PI of research project Causal reasoning for real-time attack identification in cyber-physical systems, Co-PI of demo project CAVeaT Connected Automated Vehicles trialling and Trustworthiness, Co-PI of research project Learning in Routing Games for Sustainable Electromobility, Digital Futures Faculty
+46 8 790 42 53gyuri@kth.se
Sindri Magnússon
Associate professor, Department of Computer and Systems Sciences at Stockholm University, Vice Chair Working group Cooperate, Co-PI: Decision-making in Critical Societal Infrastructures (DEMOCRITUS), Former Co-PI: Data-Driven Control and Coordination of Smart Converters for Sustainable Power System Using Deep Reinforcement Learning at C3.ai DTI, Former Co-Supervisor: Distributed Optimization and Federated Learning in Emerging Smart Networks, Digital Futures Faculty
+46 8 16 11 15sindri.magnusson@dsv.su.se
Paris Carbone
Assistant Professor Division of Software and Computer Systems EECS school at KTH, Working group Cooperate, Co-PI: PORTALS - Teleporting smart edge services to a serverless future, , Former Co-PI: Resilient Decentralized Computing: Enabling Trust and Simplicity in Smart Edge Services, Digital Futures Faculty
parisc@kth.se
Marco Chiesa
Associate Professor, Division of software and computer systems at KTH EECS, Working group Cooperate, Co-PI: Emergence 2.0 - Securing Edge Networks with a Programmable Intelligent Architecture, Former Co-PI: Enabling Machine-Learning Intelligence for Network Cybersecurity (EMERGENCE), Digital Futures Faculty
+46 8 790 44 29mchiesa@kth.se
Dimos Dimarogonas
Professor, Division of Decision and Control Systems at KTH, Working group Cooperate, PI: Towards Safe Smart Construction - Algorithms, Digital Twins and Infrastructures, Digital Futures Faculty
+46 8 790 73 26dimos@kth.se
Viktoria Fodor
Professor, Division of Network and Systems Engineering at KTH, Member of the Executive Committee, Associate Director Strategic Research and Chair of the Strategic Research Committee, Working group Cooperate, PI of research project Decision-making in Critical Societal Infrastructures (DEMOCRITUS), Digital Futures Faculty
+46 8 790 42 68vjfodor@kth.se
James Gross
Professor, Division of Electrical Engineering and Computer Science at KTH, Member of the Executive Committee, Associate Director Partner Programme, Member of the Strategic Research Committee, Member of Working group Cooperate, Co-PI: Towards Safe Smart Construction - Algorithms, Digital Twins and Infrastructures, Digital Futures fellow, Digital Futures Faculty
+46 8 790 88 19jamesgr@kth.se
Ivy Peng
Associate Professor of Computer Science at EECS KTH, Docent in Parallel Computing, High-performance Computing, EECS School at KTH, Working group Cooperate, Digital Futures Faculty
ivybopeng@kth.se
Mikael Skoglund
Professor and Head of Department, Division of Information Science and Engineering at KTH, Member of the Executive Committee, Associate Director Fellows, ICT TNG Director, Working group Cooperate, Co-PI: PERCy, Co-PI: Humanizing the Sustainable Smart City (HiSS), Main supervisor: Fast Distributed Learning based on Adaptive Gradient Coding with Convergence Guarantees, Digital Futures Faculty
+46 8 790 84 30skoglund@kth.se
Qianwen Xu
Assistant Professor at KTH, Former Co-PI: Autonomous coordination and control of smart converters for sustainable power systems, Former PI: Data-Driven Control and Coordination of Smart Converters for Sustainable Power System Using Deep Reinforcement Learning, Digital Futures Faculty
+46 8 790 63 56qianwenx@kth.se