Regular biography
Marco Picasso is an Adjunct Professor in the Department of Mathematics at École Polytechnique Fédérale de Lausanne (EPFL). His research focuses on the numerical simulation of complex physical systems using partial differential equations, with ongoing projects including aluminium electrolysis, free surface flows, and adaptive finite elements combined with neural networks. He teaches analysis and numerical analysis courses at both bachelor and master levels. Picasso is also involved in academic committees and collaborates with various institutions and industry partners on research initiatives.
Scholar-generated biography
Marco Picasso is a Professor at the Institute of Mathematics, EPFL, specializing in Computational Sciences, Scientific Computing, and Numerical Analysis. His research focuses on developing and applying numerical methods for solving complex physical problems, including free surface flows, viscoelastic flows, and glacier dynamics. He has contributed to the advancement of adaptive finite element methods, error estimation techniques, and stabilized formulations for challenging flow simulations. His work includes studies on laser cladding processes and the numerical simulation of glacial movements over long timescales. Picasso's research emphasizes the development of robust and efficient computational tools for scientific and engineering applications.