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Paolo Fois is an accomplished Associate Professor at the Department of Computer Science, University of Pisa. His primary research and teaching activities revolve around Artificial Intelligence, Machine Learning, Computer Vision, and Pattern Recognition. He has a strong focus on deep learning methodologies and their applications in various domains, including medical imaging, industrial automation, and cultural heritage. Professor Fois is actively involved in supervising PhD students and master's theses, contributing to the development of next-generation AI researchers. He has authored numerous publications in high-impact international journals and peer-reviewed conference proceedings, reflecting his significant contributions to the field. He also participates in national and international research projects, often collaborating with industry partners to bridge the gap between academic research and real-world applications.
Paolo Fois's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Authored and co-authored a significant number of research papers published in prestigious international journals and top-tier conferences in AI, Machine Learning, and Computer Vision (e.g., IEEE Transactions, CVPR, ECCV, ICPR).
Successfully secured and participated in various national and European Union funded research projects, focusing on advancing AI technologies and their practical applications.
Mentored and supervised a considerable number of PhD and Master's students who have gone on to successful careers in academia and industry, contributing to the growth of AI talent.
Contributed to the design and development of novel algorithms and models in machine learning and computer vision, particularly in areas like deep learning for image analysis and pattern recognition systems.
Serves as a regular reviewer for leading international journals and as a program committee member for major AI and Computer Vision conferences, contributing to the peer-review quality and scientific advancement in the field.
Politecnico di Milano - Year 2014
SDA Bocconi - Year 2020
The Startup Training - Year 2016
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