Mojtaba Kaheni, Post Doc


Mojtaba Kaheni is a Postdoc researcher at the Akademin för Innovation, Design och Teknik (IDT), Mälardalen University , Västerås, Sweden. He earned his M.Sc. and Ph.D. in control engineering from Shahrood University of Technology, Shahrood, Iran, in 2011 and 2019, respectively. He was a Visiting scholar with the University of Florence, Italy, from May 2017 to October 2017 and he has also served as a Postdoc researcher at the University of Cagliari, Italy, from August 2020 till December 2022. His research interests include distributed optimization, multi-agent systems and nonlinear control.

[Show all publications]

Latest publications:

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)

Resilient Constrained Optimization in Multi-Agent Systems With Improved Guarantee on Approximation Bounds (May 2022)
Mojtaba Kaheni, Elio Usai , Mauro Franceschelli
IEEE Control Systems Letters (IEEE Contr Lett)

A Distributed Optimization and Control Framework for a Network of Constraint Coupled Residential BESSs (Aug 2021)
Mojtaba Kaheni, Elio Usai , Mauro Franceschelli
2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) (CASE)

PhD students supervised as assistant supervisor:

Niklas Persson