معرفی
Giacomo Borghi is a Research Fellow in the Department of Mathematics at Heriot-Watt University's School of Mathematical and Computer Sciences, specializing in optimization, control theory, and mean-field games with applications in machine learning and dynamical systems.
His core research focuses on:
- Global optimization via genetic algorithms and consensus-based methods
- Model predictive control for high-dimensional systems
- Mean-field theory applications in multi-agent machine learning
- Kinetic modeling and convergence analysis of complex dynamical systems
His 2025 publications demonstrate strong integration of probability theory, optimization, and control engineering to solve multi-agent and high-dimensional problems, with particular emphasis on measure-valued dynamics and consensus optimization frameworks.
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