Mojtaba Kaheni, Post Doc


Mojtaba Kaheni is an automation researcher with expertise in control engineering, focusing on distributed optimization and multi-agent systems. Currently, he serves as a postdoctoral researcher at Mälardalen University in Sweden, within the Division of Intelligent Future Technologies. His academic journey began with an M.Sc. and Ph.D. in control engineering from Shahrood University of Technology in Iran, completed in 2011 and 2019, respectively.

Kaheni's research explores complex systems, including nonlinear control and distributed optimization. His work often involves the application of these theories to real-world problems, such as electric demand response and energy storage systems. In addition to these, his interest spans privacy-preserving and resilient multi-agent systems, which are crucial in today's interconnected, cyber-physical systems.

Before his current role, Kaheni was a visiting scholar at the University of Florence in 2017 and a postdoctoral researcher at the University of Cagliari from 2020 to 2022. His recent projects and publications address cutting-edge topics like autonomous vehicles, privacy-preserving control frameworks, and federated learning algorithms. He has been involved in research on desynchronizing power consumption in large networks and optimizing control strategies for energy management.

Kaheni's contributions are impactful in both academic and practical domains, as his work addresses pressing technological challenges in smart grids, energy systems, and distributed networks.

PhD students supervised as assistant supervisor:

Niklas Persson