Education:

• 2022 - 2025 M.Sc.

       Automation and Control Engineering, Politecnico di Milano, Italy.

       Thesis: MPC of Robotic Fleets for Automated Warehouses (in collaboration with Fives Group).

• 2019 - 2022 B.Sc.

       Computer Science and Automation Engineering, Politecnico di Bari, Italy.

       Thesis: Study and Analysis of applications based on Blockchain Technologies for Energy Network Management.

Projects:

• MPC for Robotic Fleet Coordination:

        Master's thesis project focused on optimizing warehouse logistics using Model Predictive Control and the Hungarian Algorithm for a fleet of autonomous mobile robots.

• Quadcopter Trajectory Control

        Controlled the attitude and position of a quadcopter using dynamic modeling, PID, and Feedback Linearization in MATLAB/Simulink.

• Time Series Forecasting with AI

        Developed a ResNet-based model with an attention mechanism for multivariate forecasting and explored Generative Adversarial Networks (GANs) for data augmentation.

• Plant Diagnosis with CNNs

        Performed binary classification of plant health using Convolutional Neural Networks (CNNs) and SimSiam.

• Room Temperature Control with LMIs

        Achieved robust environmental regulation using LMI-based synthesis for networked control.

• CAM-Based Milling Workflow

        Developed a multi-setup milling process in Fusion 360, including tool selection, machining strategy, and process validation.

• IoT Sensor Network

        Designed a topic-based IoT system in TinyOS with MQTT data streaming to ThingSpeak.

• FEM-Based System Modeling

        Conducted dynamic simulation using finite element analysis.

Research Interest:

Model Predictive Control (MPC), Robotic Fleet Coordination, Motion Control, Autonomous Drones, Deep Learning for Control, ROS-based Development, Localization Algorithms.