Bruno Guindani

I am a post-doc researcher at Politecnico di Milano, in the Software Engineering Group (DeepSE). I pursue research on statistical-based formal validation methods for digital twin software architectures.

I earned my Ph.D. degree in Information Technology in 2024, conducting research on statistical approaches for managing resources of cloud, edge, and high-performance computing systems. In 2021, I earned my M.Sc. degree in Mathematical Engineering - Applied Statistics.

Feel free to reach out at or through my social media accounts linked below. Alternatively, you can usually find me in my office.

Selected publications

• R. Sala, B. Guindani, D. Ardagna, A. Guglielmi. d-MALIBOO: a Bayesian Optimization framework for dealing with Discrete Variables. IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), 2024. Best Paper Award
• B. Guindani, D. Ardagna, A. Guglielmi, R. Rocco, G. Palermo. Integrating Bayesian Optimization and Machine Learning for the Optimal Configuration of Cloud Systems. IEEE Transactions on Cloud Computing, 2024
• M. Beraha, B. Guindani, M. Gianella, A. Guglielmi. BayesMix: Bayesian Mixture Models in C++. Accepted on Journal of Statistical Software, soon to appear (arXiv)