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.
A Direct Data-Driven Control Design for Autonomous Bicycles (Sep 2024) Niklas Persson, Mojtaba Kaheni, Alessandro Papadopoulos IEEE International Conference on Automation Science and Engineering (CASE 2024)
A Privacy-Preserving Distributed Greedy Framework to Desynchronize Power Consumption in a Network of Thermostatically Controlled Loads (Jul 2024) Mojtaba Kaheni, Alessandro Papadopoulos, Elio Usai , Mauro Franceschelli IEEE Transactions on Control Systems Technology (TCST 2024)
Hybrid Moving Controller: Modified Hybrid Moving Target Defense with Stability Guarantees (Jun 2024) Mojtaba Kaheni, Alessandro Papadopoulos 22nd European Control Conference (ECC 2024)
Selective Trimmed Average: A Resilient Federated Learning Algorithm With Deterministic Guarantees on the Optimality Approximation (Jan 2024) Mojtaba Kaheni, Martina Lippi , Andrea Gasparri , Mauro Franceschelli IEEE Transactions on Cybernetics (IEEE TCyb)
Resilient and Privacy-Preserving Multi-Agent Optimization and Control of a Network of Battery Energy Storage Systems Under Attack (Sep 2023) Mojtaba Kaheni, Elio Usai , Mauro Franceschelli IEEE Transactions on Automation Science and Engineering (TASE)
Distributed Asynchronous Greedy Control of Large Networks of Thermostatically Controlled Loads for Electric Demand Response (Jun 2022) Mojtaba Kaheni, Alessandro Pilloni , Giulia Serra Ruda , Elio Usai , Mauro Franceschelli IEEE Control Systems Letters (IEEE Contr Lett)
Project Title | Status |
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MARC: Mälardalen University Automation Research Center | active |
TRIM: TRustworthy Interaction of Multi-agent systems | active |