A Machine Learning Approach to the Estimation of Near-Optimal Electrostatic Force in Micro Energy-Harvesters. - Masoud Roudneshin; Kamran Sayrafian; Amir G. Aghdam (WiSEE, 2019)

Effective Learning Algorithms for Search and Rescue Missions in Unknown Environments. - Masoud Roudneshin; Amir Mohammad Moradi Sizkouhi; Amir G. Aghdam (WiSEE, 2019)

Robust Suboptimal Output Synchronization of Nonlinear Heterogeneous Agents. - Reza Babazadeh; Masoud Roudneshin; Rastko R. Selmic; Amir G. Aghdam (ACC, 2020)

Reinforcement Learning in Deep Structured Teams: Initial Results with Finite and Infinite Valued Features. - Jalal Arabneydi; Masoud Roudneshin; Amir G. Aghdam (CCTA, 2020)

Adaptive Estimation of Near-Optimal Electrostatic Force in Micro Energy-Harvesters. - Masoud Roudneshin; Kamran Sayrafian; Amir G. Aghdam (CCTA, 2020)

Reinforcement Learning in Nonzero-sum Linear Quadratic Deep Structured Games: Global Convergence of Policy Optimization. - Masoud Roudneshin; Jalal Arabneydi; Amir G. Aghdam (CDC, 2020)

A Near-Optimal Solution to a Class of Deep Structured Teams with Nonlinear Dynamics. - Vida Fathi; Masoud Roudneshin; Amir G. Aghdam (MED, 2021)

Maximizing Harvested Energy in Coulomb Force Parametric Generators. - Masoud Roudneshin; Kamran Sayrafian; Amir G. Aghdam (ACC, 2022)

An Asymmetric Adaptive Approach to Enhance Output Power in Kinetic-Based Microgenerators. - Masoud Roudneshin; Kamran Sayrafian; Amir G. Aghdam (IEEE SENSORS, 2022)

Risk-Constrained Control of Mean-Field Linear Quadratic Systems. - Masoud Roudneshin; Saba Sanami; Amir G. Aghdam (CDC, 2023)

On Forward Kinematics of a 3SPR Parallel Manipulator. - Masoud Roudneshin; Kamran Ghaffari; Amir G. Aghdam (IEEE Control. Syst. Lett., 2023)

Adaptive Maximization of the Harvested Power for Wearable or Implantable Sensors With Coulomb Force Parametric Generators. - Masoud Roudneshin; Kamran Sayrafian; Amir G. Aghdam (IEEE Internet Things J., 2023)