Alessio Borgi - About
🚀 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.
Hi, I’m Alessio 👋
I’m a PhD student in Graph Neural Networks and Generative AI, under the supervision of Prof. Pietro Liò (University of Cambridge). I am also co-supervised by Prof. Fabrizio Silvestri (Sapienza University of Rome). I have obtained my Master of Engineering in Artificial Intelligence & Robotics and my Bachelor of Engineering in Applied Computer Science and Artificial Intelligence at Sapienza University of Rome, both with the highest marks. My research sits at the intersection of Graph Neural Networks, Geometric Deep Learning, Topological Deep Learning and Diffusion Models, with applications to Robotics, Vision, and Biomedical AI.
Top Languages
Not available (build step didn’t export languages).
Contribution Heatmap
Popular Repositories
AMR_CleaningRobot
Simulation of a Cleaning Robot with the capability of performing SLAM of the environment the robot is navigating, Planning Trajectories to calculate optimal paths considering static and dynamic obstacles, and Dynamic Obstacle Avoidance to detect and navigate around obstacles.
BioHeat-PINNs
Improving hyperthermia treatment by controlling temperature distribution in both 1D and 2D domains and thermal energy applied to cutaneous and subcutaneous tissues, through Bio-Heat equation with Physics-Informed Neural Networks (PINNs).
RoboMAT
A comprehensive MATLAB library for solving a wide range of robotics tasks, providing tools and functions for robotic simulations, control systems, kinematics, and path planning.
RealTime-VLM
RealTime-VLM brings real-time VLM inference to the browser. It continuously captures webcam frames, sends image+text to an OpenAI-compatible API, and displays responses with sub-second latency. Works with local or hosted VLMs.
Z-SAMB_StyleAligned_MultiReference-MultiModal
Novel framework for Zero-Shot Style Alignment in Text-to-Image generation, incorporating Multi-Modal Context-Awareness and Multi-Reference Style Alignment, using minimal attention sharing, ensuring consistent style transfer without fine-tuning.
Z-SASLM
[CVPR 2025] Z-SASLM is a zero-shot framework for multi-style image synthesis leveraging Spherical Linear Interpolation (SLI) to achieve smooth, coherent blending—without any fine-tuning.
What I’m into right now
🧮 Equivariant Sheaf NNs
Fiber-aware transports, E(n)-equivariance, and **polynomial/sheaf diffusion** for controllable generation.🎨 Diffusion Models
Multi-style conditioning, **latent manipulation**, and stable **zero-shot style alignment**.🧠 Graphs everywhere
Protein/structure generation, heterophily benchmarks, EEG/brain graphs & interpretability.🤖 Robotics
Kinematics & dynamics, planning, simulation-to-real pipelines, and control under constraints.Recent publications
Open-source spotlights
CareConnect
Chat + graphs to orchestrate environment/hospital data and **robotic actions**.
MoonBot Navigation
Autonomous lunar navigation & interaction; planning + onboard vision.
XGNN GraphGenRL
Policy-based **model-level explanations** via graph generation.
More code: github.com/alessioborgi
How I like to collaborate
- Clear goals, fast iterations — short sprints, public ablations, reproducible seeds.
- Transparent repos — tidy READMEs, configs, and W&B (or similar) logs.
- Strong baselines — fair comparisons, stats tests, and error analysis over cherry-picked plots.
- Write it as we build — draft notes, figures, and bib entries early; keep LaTeX in sync with code.
If that resonates, let’s build something together →
borgialessio01@gmail.com · GitHub · Google Scholar
A few things I’m exploring next
Quick links
- 📄 CV — download
- 🧪 Publications — browse
- 🧱 Projects — code & demos
- 🎤 Participation & Talks — events & slides