Hi, I’m Lorenzo Bazzana 👋

• Built a 10k virtual museum dataset and boosted SoTA retrieval models +40% R@1 with hierarchical room‑aware learning. Read the paper!
• Prototyped 3D vehicle detection from roadside cameras; engineered an image annotation tool to accelerate high‑quality dataset creation.

• Ran a cybersecurity gap analysis on industrial networks and devices and delivered a remediation plan as part of a thesis‑driven internship.

Macrì, Bazzana, et al. Theme‑aware contrastive learning across 10,000 virtual museums.

Paper

Presenter for AILab Udine’s Reproducibility Track paper “AdOCTeRA – Adaptive Optimization Constraints for Improved text‑guided Retrieval of Apartments.”

Paper

CVSS v3.1: 9.8 (Critical)

CVE entry

Joint degree • University of Udine & AAU Klagenfurt (Austria)

• Thesis: Enhancing Metaverse Retrieval Effectiveness through Hierarchical Room‑Aware Representations.
• Scholarship: “Scuola Superiore Universitaria di Toppo Wassermann” (3 admits/year).

University of Udine • Top‑5 of the class.

• Thesis: Gap analysis of an industrial measurement system & remediation plan for its security implementation.