Alessio Borgi - About

Welcome to my corner of the web

Alessio Borgi

PhD Researcher · Graph Neural Networks & Generative AI
Sapienza University of Rome  ·  University of Cambridge

Graph Neural Networks Geometric Deep Learning Topological Deep Learning Diffusion Models Robotics Biomedical AI Vision

๐Ÿš€ Open to Collaborate!

I'm eager to work with anyone who has great ideas, wants to learn and share their experience. Don't hesitate to reach out if you'd like to collaborate on a project, research, paper idea, or a moonshot you're cooking up.

๐Ÿ‘‹ About Me

I'm a PhD student in Graph Neural Networks and Generative AI, under the supervision of Prof. Pietro Liรฒ (University of Cambridge) and co-supervised by Prof. Fabrizio Silvestri (Sapienza University of Rome). I obtained my Master of Engineering in Artificial Intelligence & Robotics and my Bachelor of Engineering in Applied Computer Science and Artificial Intelligence at Sapienza, 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.

๐Ÿ—บ๏ธ Places I've Been

Home Study Holiday

๐Ÿ“„ Latest Publications

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๐Ÿ’ผ Latest LinkedIn Post

G-Research Early Career Research Funding Grant Awarded!
2025-12-24 ·
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๐Ÿ™ GitHub Activity

Total Stars
49
Total Forks
13
Public Repos
29
Followers
16

Top Languages GitHub

Jupyter Notebook
95.1%
Python
4.4%
Go
0.1%
MATLAB
0.1%
Vue
0.1%
Mathematica
0.0%
C++
0.0%
Cython
0.0%

Contribution Heatmap

GitHub contribution heatmap
Source: GitHub contributions (last 1 year)

Popular Repositories GitHub

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.

โญ 16 ๐Ÿด 1

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).

โญ 7 ๐Ÿด 1

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.

โญ 5 ๐Ÿด 0

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.

โญ 5 ๐Ÿด 0

MoonBot-Navigation

Autonomous robot for lunar navigation and object interaction, developed during TESP '25 at the Space Robotics Lab (Tohoku University). Features custom robot design, Dijkstra-based path planning, object detection with vision, and gripper control.

โญ 4 ๐Ÿด 0

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 blendingโ€”without any fine-tuning.

โญ 2 ๐Ÿด 0

AdaViT

Adaptive Vision Transformer for efficient image classification, implementing dynamic token sparsification to reduce computational costs while maintaining accuracy.

โญ 2 ๐Ÿด 1

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.

โญ 2 ๐Ÿด 0

XGNN-GraphGenRL

Explainable Graph Neural Networks (XGNNs) and Reinforcement Learning (RL) techniques for graph generation and optimization tasks. The project aims to explore and validate the use of explainable AI for creating interpretable graph structures.

โญ 1 ๐Ÿด 1

SkinMe

A deep learning-based application for skin disease detection and classification.

โญ 1 ๐Ÿด 2

ALPR-Automatic-License-Plate-Recognition

A comprehensive system for detecting and recognizing license plates in real-time, combining image processing, object detection, and optical character recognition (OCR) to provide an accurate and efficient solution for automatic license plate recognition, with also double GUI, both for the Security Manager and for the Car User.

โญ 1 ๐Ÿด 2

Clustering-Deepening

An in-depth exploration of clustering algorithms and techniques in machine learning, with applications focus on Object Tracking and Image Segmentation.

โญ 1 ๐Ÿด 1