About
Paolo Rota is an Associate Professor at the Department of Information Engineering and Computer Science and affiliated with the Interdepartmental Center for Mind/Brain Sciences (CIMEC) at the University of Trento. His academic and research career spans institutions such as TU Wien (Austria), IIT Genova, and DII - University of Trento, with a focus on machine learning for computer vision and multimodal learning.
- Ph.D. in Information and Communication Technologies, University of Trento (2015)
- M.Sc. in Telecommunications Engineering, University of Trento (2010)
Research interests include weakly supervised learning (unsupervised, open-set, source-free domain adaptation), incremental and curriculum learning, and cross-modal learning in video analysis. Teaching activities encompass courses on Foundation Models, Introduction to Machine Learning, and Introduction to Computer Programming (Python), emphasizing computational approaches in cognitive science.
Skills span Artificial Intelligence, Deep Learning, Computer Vision, Natural Language Processing, and Neural Networks, with applications in Pattern Recognition and Robotic Vision. He is a member of the ELLIS society, contributing to European AI research networks.
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