Supervisor: Prof. Pietro Liò (Cambridge) · Co-Supervisor: Prof. Fabrizio Silvestri (Sapienza)
Focus: Graph Neural Networks, Geometric Deep Learning, Topological Deep Learning and Diffusion Models
Memberships: RSTLess Group · CaRAML Group
Teaching Assistant: Geometric Deep Learning, University of Cambridge
Final mark: 110 / 110 🏅 Top marks
Thesis: Polynomial Sheaf Diffusion and Equivariant Sheaf Neural Networks
Memberships: ALCOR Lab · ISPAMM Lab
Courses: AI, Machine Learning, Neural Networks, Robot Programming, Robotics I & II, NeuroEngineering, Computer Vision, Medical Robotics, Reinforcement Learning, Autonomous & Mobile Robotics, Deep Learning, Advanced ML, Generative AI Safety, HRI, Robot Benchmarking & Competitions, Multilingual NLP.
Final mark: 110 / 110 with Honours 🏅 Summa cum laude
Thesis: Building Real-Time Multivariate Anomaly Detection Systems in Industry's 5G Networks, GitHub
Membership: OmniAI Lab
Courses: Deep Learning, AI Lab & Computer Vision, ML, AI, Web & Software Architecture, Cybersecurity, Programming I/II, Databases, HCI, Networking, OS, Algorithms, Statistics, Startup & Management, Computer Architecture, Calculus I/II/III, Linear Algebra, Physics, Probability, Foundations of CS.
Final mark: 100 / 100 🏅 Top marks
Project: Electric Company: Ticketing System, GitHub
Supervisor: Prof. Kazuya Yoshida
Project: MoonBot Navigation, Autonomous lunar robot with Dijkstra-based path planning, visual object detection, custom gripper control.
🏆 Won TESP 2025 Competition 📜 Certificate of Research Excellence
Supervisor: Prof. Alexander Steinmaurer
Project: CareConnect, AI-driven hospital system for environmental data querying, real-time graph generation, and robotic action triggering via LangChain.
🏅 Best Poster & Project Award
Braithwaite, L.; Borgi, A.; Onorato, G.; Tarantelli, K.; Restuccia, F.; Silvestri, F.; Liò, P. (2026). "Heterogeneous Sheaf Neural Networks." NeurIPS 2026 Workshop on Symmetry and Geometry in Neural Representations (NeurReps). arXiv:2409.08036.
Van Looy, J.-W.; Trenta, A.; Gravina, A.; Borgi, A.; Zanchetta, F.; Liò, P.; Bacciu, D.; Fioresi, R. (2026). "Oscillatory Neural Dynamics over Sheaves." arXiv:2610.10018.
Ali, R.; Borgi, A.; Severino, M.; Gravina, A.; Bacciu, D.; Liò, P.; Irwin, C. (2026). "Let the Heads Talk: Beyond Diagonal Graph Attention." arXiv:2610.01494.
Yu, T.; Wang, J.; Li, M.; Hu, Y.; Hu, J.; Cai, X.; Hu, W.; Borgi, A. (2026). "Program Graph Learning for Software Vulnerability Analysis: A Survey." Transactions on Graph Intelligence and Network Applications. https://doi.org/10.53941/tgina.2026.100005.
Borgi, A.; Severino, M.; Silvestri, F.; Liò, P. (2026). "Equivariant Sheaf Neural Networks: Learning Geometric Transport on Graphs." arXiv:2608.28853.
Ali, R.; Borgi, A.; Irwin, C.; Severino, M.; Liò, P. (2026). "Remember to Forget: Gated Adaptive Positional Encoding." arXiv:2605.10414.
Borgi, A.; Silvestri F.; Liò P. (2025). "Polynomial Neural Sheaf Diffusion: A Spectral Filtering Approach on Cellular Sheaves.
Borgi, A.; Maiano, L.; Amerini, I. (2025). "Z-SASLM: Zero-Shot Style-Aligned SLI Blending for Latent Manipulation." CVPR 2025 Workshops.