Marco Veneroni
Associate Professor
Department of Mathematics 'F. Casorati"
University of Pavia
Italy
Biography
Marco Veneroni from 09/2016 – present Associate professor Department of Mathematics “F. Casorati”, University of Pavia, Italy; 09/2011 – 08/2016 Assistant professor Department of Mathematics “F. Casorati”, University of Pavia, Italy; 01/2011 – 08/2011 Post-doctoral fellow Department of Mathematics and Statistics, McGill University, Montreal, Canada Supervisor: Prof. Rustum Choksi; 01/2009 – 12/2010 Post-doctoral fellow Department of Mathematics, Dortmund Technical University, Dortmund, Germany Supervisor: Prof. dr. Ben Schweizer; 11/2006 – 12/2008 Post-doctoral fellow Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, the Netherlands Supervisor: Prof. dr. Mark A. Peletier; 11/2003 – 10/2006 Ph.D. candidate in Mathematics and Statistics Department of Mathematics “F. Casorati”, University of Pavia, Italy Supervisor: Prof. Giuseppe Savar´e
Research Interest
1. Liquid crystals, 2. Modelling of multicomponent lipid membranes 3. Homogenization of nonlinear PDEs 4. Gradient Flows and Optimal Transportation Problems 5. Pattern formation 6. Modelization of the cardiac electric field:
Publications
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A. Segatti, M. Snarski, M. Veneroni. Equilibrium configurations of nematic liquid crystals on a torus. Physical Review E, 90(1):012501, 2014
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B. Schweizer, M. Veneroni. Homogenization of plasticity equations with two-scale convergence methods. Applicable Analysis, 94(2):376-399, 2015
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A. Segatti, M. Snarski, M. Veneroni. Analysis of a variational model for nematic shells. Mathematical Models and Methods in Applied Sciences, 26(10):1865-1918, 2016
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S. Pelletier, O. Jabali, G. Laporte, M. Veneroni. Battery Degradation and Behaviour for Electric Vehicles: A Review and Numerical Analysis of Several Models. Accepted for publication in Transportation Research Part B, 2017.
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L. Lussardi, S. Marini and M. Veneroni. Stochastic homogenization of maximal monotone relations and applications. Arxiv preprint: 1702.08532 (2017).
