Portfolio item number 1
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๐จ๐ปโ๐ป Iโm eager to work with anyone who has great ideas, wants to learn more and more and also share their experience to others. Donโt hesitate to write me if youโd like to propose your help or ask for mine on a project, research, paper-idea, or a moonshot youโre cooking up.
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Adaptive Vision Transformer with dynamic token sparsification and halting for efficient image classification.
End-to-end real-time license plate detection and OCR pipeline with dual GUIs โ one for security managers, one for drivers โ built with PyTorch and Streamlit.
Autonomous mobile robot for indoor cleaning with navigation, obstacle avoidance, and task orchestration.
A simulation platform for developing and testing autonomous driving algorithms โ using CNNs to map raw camera frames to steering and throttle commands.
Physics-Informed Neural Networks for real-time temperature estimation via the Pennes Bio-Heat Equation, supporting hyperthermia therapy control.
An AI system for querying hospital environmental sensor data via natural language chat, generating real-time graphs, and triggering automated actions via LangChain and MQTT.
An in-depth study of clustering algorithms โ from k-Means to DBSCAN and GMMs โ applied to object tracking and image segmentation.
End-to-end analysis and implementation of IT infrastructure (disaster recovery, smart working, fleet management) and a full ticketing system for an electric consultancy firm.
Classifies spam and ham emails using a Bidirectional LSTM โ capturing both forward and backward temporal context in email text for high-accuracy filtering.
A full-stack web help desk for issue tracking and customer support โ with ticket management, user authentication, and real-time status updates.
End-to-end smart home system โ from a physical miniature house build to Arduino-powered sensors, automated routines, and a companion mobile app.
A full-stack Instagram-like photo sharing app โ upload, explore, like, and comment โ built with Vue.js frontend, Go REST API, and Docker deployment.
A Java library that models core Category Theory constructs โ categories, functors, natural transformations โ and demonstrates their practical role in software design.
A systematic exploration of ML pipeline optimisation โ covering preprocessing, feature engineering, model selection, and hyperparameter tuning across multiple algorithms.
Autonomous lunar rover navigation and interaction โ winner of the TESP 2025 Competition.
Optimising the Differentiable Search Index (DSI) with data augmentation and parameter-efficient fine-tuning (LoRA, QLoRA, AdaLoRA) โ evaluated on MS MARCO.
Collects, analyses, and visualises PC performance metrics โ then applies ML clustering to detect anomalies and performance degradation patterns.
Generate static, unlimited-use QR codes with custom styles, embedded icons, and optional captions โ entirely in Python.
Browser-based real-time VLM inference โ continuously captures webcam frames and feeds them to any OpenAI-compatible vision API with sub-second latency.
MATLAB library for robotics simulations, kinematics, dynamics, control, and path planning.
A real-time anomaly detection pipeline for 5G network telemetry, developed in collaboration with Hewlett Packard Enterprise (HPE).
A deep learning application that classifies skin conditions from dermoscopic images using CNNs and LSTMs, supporting early diagnosis assistance.
A zero-shot framework for consistent style transfer in text-to-image generation โ using minimal shared attention to propagate a reference style without fine-tuning.
A Flutter/Dart mobile app that connects university students for ride-sharing โ schedule, match, and split commutes within the campus community.
Model-level explanations for GNNs via reinforcement-learned graph generation on MUTAG.
CVPR 2025 workshop paper โ a zero-shot framework for smooth multi-style image synthesis using Spherical Linear Interpolation in the latent space of diffusion models.
Published in arXiv preprint arXiv:2409.08036, 2024
HetSheaf is a cellular-sheaf framework for heterogeneous graphs that encodes node and edge types through type-aware local feature spaces and learned restriction maps โ without specialised architectural components. The companion SheafPool readout is invariant to basis changes and enables graph-level prediction. Gains of up to +2 pp on the Heterogeneous Graph Benchmark with up to 10ร fewer parameters.
Recommended citation: Braithwaite, L.; Borgi, A.; Onorato, G.; Tarantelli, K.; Restuccia, F.; Silvestri, F.; Liรฒ, P. (2024). "Heterogeneous Sheaf Neural Networks." arXiv:2409.08036.
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Published in CVPR (Computer Vision and Pattern Recognition) 2025 Workshops (Nashville, USA ๐บ๐ธ), 2025
Z-SASLM introduces a zero-shot, fine-tuning-free approach to style alignment in diffusion models by blending multiple reference styles directly in latent space using spherical linear interpolation (SLI) with learned, context-aware weights. The method avoids model retraining, preserves content semantics, and yields consistent style transfer across prompts and seeds.
Recommended citation: Borgi, A.; Maiano, L.; Amerini, I. (2025). "Z-SASLM: Zero-Shot Style-Aligned SLI Blending for Latent Manipulation." CVPR 2025 Workshops.
Go to the Webpage | Download Paper | Download Poster | Download Bibtex | GitHub Code
Published in arXiv preprint arXiv:2512.00242, 2025
ArXiv preprint on Polynomial Neural Sheaf Diffusion: A Spectral Filtering Approach on Cellular Sheaves.
Recommended citation: Borgi, A.; Silvestri F.; Liรฒ P. (2025). "Polynomial Neural Sheaf Diffusion: A Spectral Filtering Approach on Cellular Sheaves.
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Published in arXiv preprint arXiv:2605.10414, 2026
GAPE (Gated Adaptive Positional Encoding) addresses core limitations of RoPE in long-context language models. A content-aware bias is injected directly into attention logits while preserving rotary geometry: query-dependent and key-dependent gates suppress irrelevant distant tokens while protecting salient context, improving attention sharpness and long-context performance on retrieval and standard benchmarks.
Recommended citation: Ali, R.; Borgi, A.; Irwin, C.; Severino, M.; Liรฒ, P. (2026). "Remember to Forget: Gated Adaptive Positional Encoding." arXiv:2605.10414.
Go to the Webpage | Download Paper | Download Bibtex
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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