Dept. of Mathematics (MATH) (5)

Francesco Marchetti

I am a fixed-term researcher (RTDa) since January 2022 at the Department of Mathematics “Tullio Levi-Civita” of the University of Padova. I got my master degree in Mathematics and my PhD in Health Planning Sciences at the University of Padova in 2016 and 2021, respectively.

In my master thesis and during my PhD, I worked in the field of Magnetic Particle Imaging (MPI), which is a novel tracer-based medical imaging technique, studying effective approximation schemes suitable for reconstructing signals along Lissajous curves, which are typical sampling trajectories in a MPI scanner. Moreover, I studied and applied kernel-based machine learning techniques in the context of rare diseases diagnosis and in the classification of patient-derived xenografts.

Francesco Rinaldi

Francesco Rinaldi is currently a Professor with the Department of Mathematics “Tullio Levi-Civita”, University of Padova, and the coordinator of the Data Science Master’s Programme at the University of Padova.

He received the M.S. degree in computer engineering and the Ph.D. degree in operations research from the Sapienza University of Rome, in 2005 and 2009, respectively.

He served as organizing/program committee member and as session/minisymposium organizer at many international conferences. He was also invited speaker at more than 40 international conferences and university seminars.

He received a number of research grants for his research (e.g., ARISLA 2021 grant).

He published over 50 papers in toptier academic journals including SIAM Journal on Optimization, Mathematical Programming Computation, Mathematics of Operations Research, Bioinformatics, IEEE Transactions, Molecular Neurodegeneration.

Marco Formentin

Marco graduated in Physics in 2004 and earned a doctorate in Mathematics in 2009 at the University of Padova. In 2017 he holds the position of Assistant Professor (RTDb) at the Department of Mathematics “Tullio Levi-Civita” of the University of Padova and at present, he is Associate Professor.

His primary research topic is the understanding of systems made up of a large number of interacting agents and possible applications in complex systems ranging from ecology to interactive human dynamics.

Recent interests are:

1) mechanisms for the emergence of collective periodic behavior;
2) mathematical ecology: in particular mechanisms that enhance biodiversity;
3) modeling and statistics for complex human dynamics.

Stefano De Marchi

Stefano De Marchi is full professor of Numerical Analysis at the Department of Mathematics “Tullio Levi-Civita”. He received the degree in Mathematics in 1987 from the University of Padova, the master’s degree in Mathematics and Computer Science in 1990  from the University of Padova and the PhD in Computational Mathematics in 1994, “ciclo VI – Consorzio Nord-Orientale”.

He is author and co-author of more than 95 scientific papers, many of them in approximation theory, multivariate polynomial interpolation, approximation by radial basis functions with applications to medical image reconstruction, rational interpolation and quasi Monte Carlo compression.

He is one of the discoverers of the so called “Padua points”, which are the only set of quasi-optimal interpolation points explicitly known on the square, for polynomial interpolation of total degree.

Valentina Franceschi

I am Assistant Professor (RTD-B) at the Department of Mathematics of the University of Padua. 

I graduated in Mathematics at the University of Bologna in 2012. Within my degree I was selected as international student for an exchange program at Temple University, Philadelphia in 2011. 
I obtained my PhD in Mathematics in 2016 at the University of Padova.  
Between 2016 and 2020 I developed my research through post-doctoral experiences mainly in France, first as research collaborator of the Inria Paris team CAGE, then as Lecteur Hadamard at Université Paris-Sud in 2018 and finally as Marie Skłodowoska Curie Fellow at Sorbonne Université within the individual project MesuR.