Giacomo Albi completed his academic training in Italy, earning his bachelor's degree in Mathematics in 2007 in Trento, his master's degree in Mathematics in Padua in 2010, and his PhD in Mathematics and Computer Science in Ferrara in 2014 with a thesis on kinetic approximation, simulation and control of self-organising systems. From 2014 to 2017 he worked as a research fellow at TU München within the ERC research project 'High-Dimensional Sparse Optimal Control'. Since November 2022 he has been Associate Professor in Numerical Analysis at the Department of Computer Science in Verona.
His main research interests are:
Numerical methods for solving kinetic equations, Boltzmann-type equations, and hyperbolic systems.
Optimal control of high-dimensional systems and non-linear differential systems.
Mathematical and numerical modelling for multi-agent systems, with applications to socio-economic and biological dynamics.
His publications are mainly in international journals in the area of numerical analysis and applied mathematics.
Modules running in the period selected: 37.
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Di seguito sono elencati gli eventi e gli insegnamenti di Terza Missione collegati al docente:
Topic | Description | Research area |
---|---|---|
Numerical methods and models for multi-scale systems of interacting particles | Analysis and implementation of mathematical methods and models for dynamics of systems of interacting particles on various scales and their control: data-driven control for high-dimensional systems with non-local interaction; particle methods for problems of global optimization and applications to machine learning; dynamics of opinions on social networks; multi-scale models for crowd dynamics, and optimal strategies for evacuation problems; socio-epidemiological models and strategies to mitigate the spread of infection; control problems for high energy particles for the confinement in plasmas, and for targeted radiotherapy in treatment of tumors. |
Mathematical methods and models
Numerical analysis |
Numerical solution of partial differential equations | Analysis and implementation of innovative and effective numerical methods for solving and controlling partial differential equations (PDEs) of parabolic type (diffusion-transport-reaction), hyperbolic type (e.g. Euler equations for gas dynamics and Einstein field equations for astrophysics), highly oscillatory (Schrödinger equations), and integro-differential equations (kinetic equations with term collision and mean-field equations with non-local interaction terms). |
Mathematical methods and models
Numerical analysis |
Office | Collegial Body |
---|---|
member | Faculty Board of Interuniversity PhD in Mathematics - Department Computer Science |
member | Computer Science Teaching Committee - Department Computer Science |
member | Computer Science Teaching Committe - Department Computer Science |
Incaricato AQ per per l'internazionalizzazione | Commissione AQ del Dipartimento di Informatica - Department Computer Science |
vice president | Commissione di Area ERASMUS - Department Biotechnology |
member | Computer Science Department Council - Department Computer Science |
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