Krunal Raval

I am a Postdoctoral Researcher at the University of Florence in the Department of Mathematics and Computer Science, working with Carlotta Giannelli on Geometric Deep Learning for surface approximation and parametrization.

I earned my PhD in Mathematics from the University of Rome “Tor Vergata”, supported by the GRAPES network, a Marie Sklodowska-Curie ITN, under the supervision of Carla Manni and Hendrik Speleers. My thesis, titled “Non-Uniform Degree and Tchebycheffian Spline Technologies for Adaptive Isogeometric Analysis,” explored innovative spline technologies for adaptive computational methods.

Previously, I completed my MSc in Computational Engineering at Ruhr University Bochum, where I gained expertise in Finite Element Methods and later specialized in Isogeometric Analysis.

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Research Interests:

• Isogeometric Analysis
• Multivariate Spline Functions
• Locally Refined B-splines
• Geometric Deep Learning

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