A Distributed Strategy to Maximize Coverage in a Heterogeneous Sensor Network in the Presence of Obstacles. - Hesam Mosalli; Amir G. Aghdam (CDC, 2023)

Generalized Power Iteration with Application to Distributed Connectivity Estimation of Asymmetric Networks. - Mohammad Mehdi Asadi; Mohammad Khosravi; Hesam Mosalli; Stéphane Blouin; Amir G. Aghdam (CoRR, 2023)

A Distributed Reinforcement Learning Strategy to Maximize Coverage in a Hybrid Heterogeneous Sensor Network. - Hesam Mosalli; Amir G. Aghdam (CDC, 2024)

Demand Forecasting for Electric Vehicle Charging Stations using Multivariate Time-Series Analysis. - Saba Sanami; Hesam Mosalli; Yu Yang 003; Hen-Geul Yeh; Amir G. Aghdam (ACC, 2025)

Maximizing Coverage in Heterogeneous Mobile Sensor Networks via a Gradient-Based Method without Direct Coverage Assessment. - Najmeh Zamani; Hesam Mosalli; Amir G. Aghdam (ACC, 2025)

Dynamic Load Balancing for EV Charging Stations Using Reinforcement Learning and Demand Prediction. - Hesam Mosalli; Saba Sanami; Yu Yang 003; Hen-Geul Yeh; Amir G. Aghdam (SysCon, 2025)