Z-SASLM: Zero-Shot Style-Aligned SLI Blending for Latent Manipulation
Borgi, A.; Maiano, L.; Amerini, I. (2025). "Z-SASLM: Zero-Shot Style-Aligned SLI Blending for Latent Manipulation." CVPR 2025 Workshops.
CV
🚀 I’m always open to collaborate, exchange ideas or just talk about anything!
I’m eager to work with anyone who has great ideas, wants to learn more and more and also share their experience to others. Don’t hesitate to write me if you’d like to propose your help or ask for mine on a project, research, paper-idea, or a moonshot you’re cooking up.
Education
Ph.D. in Engineering in Computer Science — Artificial Intelligence, Sapienza University 🇮🇹 & University of Cambridge 🇬🇧 — 2025–present
Supervisors: Prof. Pietro Liò (supervisor), Prof. Fabrizio Silvestri (co-supervisor)
Focus: Graph Neural Networks & Generative AIM.Sc. in Artificial Intelligence & Robotics, Sapienza University 🇮🇹 — 2023–2025
Final mark: 110/110
Thesis: Polynomial Sheaf Diffusion and Equivariant Sheaf Neural Networks (link in progress)
Courses: Artificial Intelligence, 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.
Memberships: ALCOR Lab and ISPAMM Lab.B.Sc. in Applied Computer Science and Artificial Intelligence, Sapienza University 🇮🇹 — 2020–2023
Final mark: 110/110 with Honours
Thesis: Building Real-Time Multivariate Anomaly Detection Systems in Industry’s 5G Networks: A Comprehensive Workflow — GitHub.
Courses: Deep Learning, AI Lab & Computer Vision, Machine Learning, Artificial Intelligence, Web & Software Architecture, Cybersecurity, Programming I/II (+ Lab), Databases, HCI, Networking, Operating Systems, Algorithms, Statistics, Startup & Management, Business & CS, Computer Architecture, Calculus I/II/III, Linear Algebra, Physics, Probability, Foundations of CS.
Membership: OmniAI Lab.Secondary School — Information Technology, I.I.S. Guglielmo Marconi, Civitavecchia 🇮🇹 — 2015–2020
Final mark: 100/100
Thesis/Project: Electric Company: Ticketing System — GitHub.
Visiting Research
Space Robotics — Tohoku University, Space Robotics Lab, Sendai, Japan 🇯🇵 — June–July 2025
Supervisor: Prof. Kazuya Yoshida
Project: MoonBot Navigation — Autonomous robot for lunar navigation & object interaction. Dijkstra-based path planning, object detection (vision), custom robot design, gripper control.
Repository: MoonBot Navigation (GitHub)
Outcome: Selected as top-1 student for the exchange, won TESP 2025 Competition and received Research Certificate of Excellence. Program notes.AI & Robotics in Healthcare — Johannes Kepler Universität (JKU), Linz, Austria 🇦🇹 — Aug–Sept 2024
Supervisor: Prof. Alexander Steinmaurer
Project: CareConnect — AI-driven system to query environmental/hospital data via chat, generate real-time graphs, and trigger notifications & robotic actions using LangChain.
Repository: CareConnect (GitHub)
Achievement: Best Poster & Project Award (program showcase).
Work Experience
- AI & ML Software Research Engineer (Intern) — Hewlett Packard Enterprise (HPE) — Mar 2023 – Aug 2023
Research on Multivariate Anomaly Detection over 5G time-series.
– Designed a customer-centered & customer-agnostic workflow: from network data integration to feature selection for anomaly identification.
– Validated with a major network customer, reducing models to train/maintain and lowering design/inference resource/time requirements while preserving overall metrics.
– Honourable Mention in an internal HPE Hackathon.
– Team Best HPE 2023 Paper Award.
Awards
- Research Certificate of Excellence - Selected as top-1 student for the exchange, won TESP 2025 Competition, Tohoku University 2025.
- Generative AI Safety Challenge — Privacy Violation Detection (Individual Award) & Attack on Data (Team Award), Rome 2025.
- Best Poster Award — DeepMind’s Mediterranean Machine Learning (M2L) Summer School, Milan 2024.
- Best Paper Award (team) — HPE PathFinder, Rome 2023.
- Honourable Mention (Hackathon) — Hewlett Packard Enterprise, Rome 2023.
Skills
Programming Languages: Python · Java · C++ · Matlab · Java-FX · Swing · FXML · RISC-V · GO · JavaScript · VueJS · OpenAPI · CSS · HTML · SQL · PHP · Flutter
Core ML/Graph: PyTorch · Tensorflow · Diffusers · Transformers · W&B · NumPy · PySpark · Pandas · OpenCV
Robotics & Systems: ROS · Rviz · WeBots · GMapping
Tooling: CUDA · Git · Linux · Docker · LaTeX · Hydra/YAML · Streamlit · Figma · Arduino · Raspberry Pi · Docker · WordPress · Axios
Certifications
- Cambridge Assessment International Education — First Certificate (B2) (ID: B3329535)
- Instituto Cervantes — DELE A1 (ID: S6516DL9BAHUJHY248TJ4V4KJ2)
- DeepLearning.AI & AWS — Generative AI with Large Language Models (Coursera) (ID: VHCBD26QZP7W)
- AWS — AI & ML Scholarship Program (verified)
- COMAU — “Use and Programming” Robotic License (ID: kDHqAdhwAT)
- IBM — Cloud Core Certification (verified)
- IBM — Blockchain Essentials Certification (verified)
Languages
- Italian — C2 (Mother tongue)
- English — C1
- Spanish — A1
Publications
Contact
- 📧 Email: alessio.borgi@uniroma1.it borgialessio01@gmail.com
- 🔗 GitHub: alessioborgi
- Scholar: profile
- å ORCID: 0009-0007-1979-0857