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20222026
most citedCueless EEG imagined speech for subject identification: dataset and benchmarks

4 citations · 7 across the 37 of their papers we have counts for

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12 papers · 1 filter

eess.SY2026

Distributed Algorithms for Filtering, Estimation, and Fault Detection over Cyber-Physical-Systems: A Tutorial and Survey

Mohammadreza Doostmohammadian, Mahdi Shamsi, Hadi Zayyani +4

This survey provides overview of distributed estimation, filtering, and fault detection techniques in the context of cyber-physical systems (CPS). To establish a strong foundation,…

eess.SY2026

Using Non-Lipschitz Signum-based Functions for Distributed Optimization and Machine Learning: Trade-off Between Con-vergence Rate and Optimality Gap

Mohammadreza Doostmohammadian, Amir Ahmad Ghods, Alireza Aghasi +2

In recent years, the prevalence of large-scale data-sets and the demand for sophisti-cated learning models have necessitated the development of efficient distributed ma-chine learn…

eess.SY2026

Distributed Observer-based Fault Detection over Intelligent Networked Multi-Vehicle Systems

Mohammadreza Doostmohammadian, Hamid R. Rabiee

Decentralized strategies are of interest for local decision-making over multi-vehicle networks. This paper studies mixed traffic networks of human-driven and autonomous vehicles wi…

eess.SY2026

Impact of Clustering on the Observability and Controllability of Complex Networks

Mohammadreza Doostmohammadian, Hamid R. Rabiee

The increasing complexity and interconnectedness of systems across various fields have led to a growing interest in studying complex networks, particularly Scale-Free (SF) networks…

eess.SY2025

Distributed Automatic Generation Control subject to Ramp-Rate-Limits: Anytime Feasibility and Uniform Network-Connectivity

Mohammadreza Doostmohammadian, Hamid R. Rabiee

This paper considers automatic generation control over an information-sharing network of communicating generators as a multi-agent system. The optimization solution is distributed…

eess.SY2025

Momentum-based Accelerated Algorithm for Distributed Optimization under Sector-Bound Nonlinearity

Mohammadreza Doostmohammadian, Hamid R. Rabiee

Distributed optimization advances centralized machine learning methods by enabling parallel and decentralized learning processes over a network of computing nodes. This work provid…

eess.SY2025

Momentum-based Distributed Resource Scheduling Optimization Subject to Sector-Bound Nonlinearity and Latency

Mohammadreza Doostmohammadian, Zulfiya R. Gabidullina, Hamid R. Rabiee

This paper proposes an accelerated consensus-based distributed iterative algorithm for resource allocation and scheduling. The proposed gradient-tracking algorithm introduces an au…

eess.SY2025

Distributed Observer Design for Tracking Platoon of Connected and Autonomous Vehicles

Mohammadreza Doostmohammadian, Hamid R. Rabiee

Intelligent transportation systems (ITS) aim to advance innovative strategies relating to different modes of transport, traffic management, and autonomous vehicles. This paper stud…

eess.SY2025

Fully Distributed and Quantized Algorithm for MPC-based Autonomous Vehicle Platooning Optimization

Mohammadreza Doostmohammadian, Alireza Aghasi, Hamid R. Rabiee

Intelligent transportation systems have recently emerged to address the growing interest for safer, more efficient, and sustainable transportation solutions. In this direction, thi…

eess.SY2024

Nonlinear Perturbation-based Non-Convex Optimization over Time-Varying Networks

Mohammadreza Doostmohammadian, Zulfiya R. Gabidullina, Hamid R. Rabiee

Decentralized optimization strategies are helpful for various applications, from networked estimation to distributed machine learning. This paper studies finite-sum minimization pr…

eess.SY2024

Log-Scale Quantization in Distributed First-Order Methods: Gradient-based Learning from Distributed Data

Mohammadreza Doostmohammadian, Muhammad I. Qureshi, Mohammad Hossein Khalesi +2

Decentralized strategies are of interest for learning from large-scale data over networks. This paper studies learning over a network of geographically distributed nodes/agents sub…

eess.SY2023

Distributed Delay-Tolerant Strategies for Equality-Constraint Sum-Preserving Resource Allocation

Mohammadreza Doostmohammadian, Alireza Aghasi, Maria Vrakopoulou +3

This paper proposes two nonlinear dynamics to solve constrained distributed optimization problem for resource allocation over a multi-agent network. In this setup, coupling constra…