Thesis Title: Optimizing Drone-based Applications for Delivery and Smart Agriculture

Advisor: Professor Maria Cristina Pinotti

Thesis in Brief: I explored and optimized drone-based solutions for last-mile delivery and smart agriculture. I devised novel strategies for complex combinatorial problems in route optimization and agricultural operations. Additionally, I investigated computer vision techniques for pest monitoring in orchards using drones, leading to an autonomous protocol for pest management. I was honored with a PhD with distinction for his significant contributions.

Thesis Title: Routing Drones Being Aware of Wind Conditions

Advisor: Professor Maria Cristina Pinotti

Thesis in Brief: My thesis, "Routing Drones Being Aware of Wind Conditions", explored the influence of wind on drone routes, particularly in last-mile delivery contexts. I demonstrated for the first time that wind can be leveraged to extend drone flight paths. I developed several algorithms to optimize drone routes in presence of winds that can dynamically change over the time. Synthetic simulations were employed to conduct feasibility analyses leveraging on those algorithms and prove theoretical results.

Thesis Title: Lattice-Based Cryptography

Advisor: Professor Marco Baioletti

Thesis in Brief: During my undergraduate studies, I delved into the core principles of computer science, focusing on algorithms, data structures, networking, and programming. In my thesis titled "Lattice-Based Cryptography", I embarked on an exploration of cryptographic systems robust against Quantum Computers. Inspired by NTRU, I developed a cryptosystem designed to withstand quantum attacks.