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.
Conditions for Mean and First-Moment Stability of Positive Markov Jump Linear Systems with Time-Varying Subsystems (Dec 2025) Vittorio De Iuliis , Mojtaba Kaheni, Alessandro Papadopoulos, Costanzo Manes 64th IEEE Conference on Decision and Control (CDC) (CDC 2025)
A Modified Adaptive Data-Enabled Policy Optimization Control to Resolve State Perturbations (Dec 2025) Mojtaba Kaheni, Niklas Persson, Vittorio De Iuliis , Costanzo Manes , Alessandro Papadopoulos 64th IEEE Conference on Decision and Control (CDC) (CDC 2025)
FedSecure: A Privacy-Preserving Federated Learning Algorithm (Jun 2025) Mojtaba Kaheni, Martina Lippi , Andrea Gasparri , Alessandro Papadopoulos 23rd European Control Conference (ECC) (ECC2025)
Rule-Based Predictive Control for Battery Scheduling in Microgrids Under Power Generation and Load Uncertainties (Jan 2025) Mojtaba Kaheni, Jiali Fu , Alessandro Papadopoulos IEEE Transactions on Automation Science and Engineering (TASE)
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)
Project Title | Status |
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MARC: Mälardalen University Automation Research Center | active |
TRIM: TRustworthy Interaction of Multi-agent systems | active |