This image was generated with Controlnet conditoned with Canny Edge using my profile pic and the Bio that follows.
I named it "Average Ph.D. student in his/her final year".
I am currently a Post Doc Researcher in Computer Science at the University of Macerata working on Deep Learning and eXtended Reality in a multidisciplinary setting. I got a Ph.D. in Computer Science at the University of Bologna in 2024 focusing on pipelining Artificial Intelligence and eXtended Reality paradigms for industrial and cultural heritage applications. Before that, I got a Master’s degree in Computer Science.
I decided to keep going with academic research because of my deep love for all that concerns multidisciplinary research the data produced in this setting, and the knowledge that can be extracted from them. To me, recognizing patterns through Artificial Intelligence methods, and integrating them with eXtended Reality paradigms to define functional systems usable by anyone at any time, is one of the coolest things Computer Science can offer (and that completely conquered my heart).
| Title | Scientific Area | University | Start Year | Graduation Year |
|---|---|---|---|---|
| Ph.D. | Computer Science | University of Bologna | 2020 | 2024 |
| Master Degree | Computer Science | University of Bologna | 2018 | 2020 |
| Bachelor Degree | Computer Science | University of Camerino | 2015 | 2018 |
- Hajahmadi, S., Stacchio, L., Giacchè, A., Pasquale C. & Marfia, G. (2024). Investigating eXtended Reality-powered digital twins for sequential instruction learning: The case of the Rubik's cube. Proceedings of the IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2024, October).
- Santarnecchi, E., Balloni, E., Paolanti, M., Frontoni, E., Stacchio, L., Zingaretti, P., & Pierdicca, R. (2025). MineVRA: Exploring the Role of Generative AI-Driven Content Development in XR Environments through a Context-Aware Approach. IEEE Transactions on Visualization and Computer Graphics.
- Stacchio, L., Garzarella, S., Cascarano, P., De Filippo, A., Cervellati, E., & Marfia, G. (2024). DanXe: An extended artificial intelligence framework to analyze and promote dance heritage. Digital Applications in Archaeology and Cultural Heritage, 33, e00343.
- Balloni, E., Stacchio, L., Mancini, A., Frontoni, E., Zingaretti, P., & Paolanti, M. (2025). A Neural Rendering system for fashion design process. Engineering Applications of Artificial Intelligence, 153, 110773.
