Marco Prato

Marco Prato is an Associate Professor in Numerical Analysis (MATH-05/A) at the University of Modena and Reggio Emilia, specializing in computational mathematics with expertise in inverse problems and image reconstruction. His academic work bridges theoretical mathematics with practical applications in data science and computational imaging.

His primary research focuses on:

• Numerical optimization methods for ill-posed problems
• Regularization theory and algorithms (TSVD, Tikhonov, Landweber)
• Image and signal reconstruction techniques
• Machine learning algorithms and computational statistical methods
• Applications in computed tomography and space data analysis

Dr. Prato maintains active research affiliations as a member of the OASIS research group, HIPERT laboratory, and NASA's RHESSI team, demonstrating his international research impact. His teaching portfolio spans multiple departments:

• Fundamentals of Analysis for Computer Engineering
• Computational and Statistical Learning for Computer Science and Mathematics
• Inverse Problems and Applications for Mathematics
• Mathematics courses for Chemistry and Law programs

His pedagogical approach combines theoretical foundations with hands-on computational practice using MATLAB and Python environments, emphasizing problem-solving skills for real-world applications in data analysis and scientific computing.