lorenzo-stacchio / lorenzo-stacchio.github.io Goto Github PK

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 attending a Ph.D. course in Computer Science at the University of Bologna 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. During the last few years, I fell in love with all that concerns the data: their creation, cleaning, analysis, and the wisdom we can extract from them. I personally think that recognizing patterns from data through Artificial Intelligence methods is one of the coolest things Computer Science can offer to the world. At the same time, integrating those methods with eXtended Reality paradigms to define easy-to-use and functional systems usable by anyone at any time, is something that completely conquered my heart.

• Stacchio, L., Angeli, A., Lisanti, G., & Marfia, G. (2023). Analyzing cultural relationships visual cues through deep learning models in a cross-dataset setting. Neural Computing and Applications, 1-16.

• Stacchio, L., Armandi, V., Donatiello, L., & Marfia, G. (2023, March). AnnHoloTator: A Mixed Reality Collaborative Platform for Manufacturing Work Instruction Interaction. In 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (pp. 418-424). IEEE.
• Stacchio, L., Angeli, A., & Marfia, G. (2022). Empowering digital twins with eXtended reality collaborations. Virtual Reality & Intelligent Hardware, 4(6), 487-505.
• Stacchio, L., Angeli, A., Lisanti, G., Calanca, D., & Marfia, G. (2022). Towards a holistic approach to the socio-historical analysis of vernacular photos. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM).