Published multiple papers on edge computing, federated learning, task scheduling, etc., such as 'A personalized and explainable federated learning approach for recommendation systems', 'Towards a sustainable workflow scheduling framework in edge-cloud infrastructures', etc.
Research Experience
Works as Associate professor at Department of Computing Science, located at MIT-huset, Umeå universitet, MIT.B.225.
Background
Associated Professor at the Department of Computing Science and Leading Researcher in ADSLab. Enthusiastic researcher in Edge AI, Federated Learning, Distributed Data Privacy, Cloud Computing, & BD.