Samuele Mazzei

I am conducting research for my Master’s thesis focused on the future of automotive interaction. My work explores how integrating eye-tracking, haptics, and audio can create more intuitive and safer driver interfaces. I design and test multimodal systems to evaluate how these sensory inputs impact driver attention and overall user experience.

I guide students through the complexities of programming by providing personalized, step-by-step support throughout their entire learning journey. To ensure concepts truly stick, I design custom coding challenges and practical exercises tailored to each student's specific needs and goals. My focus is on simplifying technical theory into clear, actionable lessons that build both long-term mastery and coding confidence.

I am developing a research-driven platform designed to digitize and structure official transcripts from the Italian Senate and Chamber of Deputies. My current focus is on building an intelligent OCR and NLP pipeline to accurately extract text and attribute speech to specific speakers. This work serves as the foundation for a searchable Knowledge Graph (RDF) and a web interface that will allow researchers to navigate digital transcripts alongside their original PDF sources.