Mattia Soldan
- Ph.D. Student, Electrical and Computer Engineering
Biography
Mattia Soldan is a final-year Ph.D. candidate in Electrical and Computer Engineering at KAUST, where he is advised by Prof. Bernard Ghanem. His research lies at the intersection of computer vision and natural language processing, with a focus on scalable and efficient algorithms for semantic video understanding and retrieval. His work spans task-specific deep learning architectures, dataset creation, and efficient visual encoding pipelines. Mattia is passionate about building intelligent systems that connect visual content with language and advancing research that bridges fundamental understanding with practical impact.
Research Interests
Mattia's research focuses on video and language understanding and especially on how to leverage mutual information to solve specific tasks as Single Video Moment Retrieval and Video Corpus Moment Retrieval.
Education
- Bachelor of Science (B.S.)
- Information Engineering, University of Padua, Italy, 2015
- Master of Science (M.S.)
- Telecommunications Engineering, University of Padua, Italy, 2017
