Thesis

Supervised Students

PHD Students

1. Manuel Donsante, ongoing, 2024. Co-supervised.

2. Muhammad Imran, "Control and Data-driven Operational Strategies for Industry 4.0 and Sustainable City Logistics", 2022. Co-supervised.

Master in Control Engineering

1. Marzia Rum. Thesis on task scheduling. 2024. Ongoing.

2. Andrea Belleggia. Thesis on traffic control. 2024. Ongoing.

3. Simone Barcellona. "Sviluppo di un sistema di controllo basato su ottimizzazione distribuita MIP per la ricarica intelligente su larga scala di veicoli elettrici", 2023.

4. Riccardo Izzo. "Traffic Control with Model Predictive Control and Deep Reinforcement Learning: a Comparison", 2023.

5. Giovanni Antonucci. "Task Scheduling in Assembly Lines with Deep Reinforcement Learning", 2023.

6. Aslam Nat. "Model Predictive Control for Electric Vehicles Smart Charging". 2023.

7. Chiara Maria Francesca Cirino. "Model Predictive Control Algorithm for Task Scheduling", 2022.

8. Daniele Sciamanna. "Control of an Energy Storage System based on Deep Reinforcement Learning", 2022.

Bachelor's in Control Engineering

1. Alessandro Germanò. Model Predictive Control of a Road Intersection. 2024.

2. Matteo Ancona. "Modellizzazione e Controllo Predittivo di un Pacco Batteria di un Veicolo Elettrico". 2024.

Feel free to contact me if you are interested in a thesis under my supervision. The average duration for the thesis work is 6 months.