PhD in Information Engineering , Department of Information Engineering (DINFO), University of Florence. My research interests are optimization applications, machine learning and other topics related to them. In particular, my principal addressed problems are multi-objective optimization, clustering and bayesian optimization. Google
AMUO, Advances in Multiobjective Optimization
AMUO Advances in Multiobjective Optimization Invited Session Time Slot: Tuesday Afternoon Room: AUD_B Chair: Pierluigi Mansueto Multi-objective simulation-based optimization using a machine learning-based mathematical programming model Time: 16:30 Marco Boresta (Sapienza Università di Roma / IASI-CNR), Giovannelli Tommaso, Lucidi Stefano,
Advanced optimization methods for clustering
K-means is one out of a bunch of widely used clustering techniques. In this thesis, we plan to experiment with global optimization algorithms which use K-means as a local optimization solver Candidate: Pierluigi Mansueto From this thesis a paper was
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GOL – Global Optimization Laboratory We couldn’t be more excited to share that Pierluigi Mansueto is among the finalists of the EURO Doctoral Dissertation Award 2025 !!! We are proud to announce that Matteo Lapucci and Pierluigi Mansueto got the
Who we are
Professors Prof. Fabio Schoen Prof. Paola Cappanera Prof. Marianna De Santis Prof. Fabio Tardella Adjunct professors Dr. Ing. Matteo Lapucci, PhD (RTD/A) Research Group Dr. Ing. Tommaso Aldinucci (PostDoc) Dr. Ing. Simone Magistri (PostDoc) Dr. Ing. Pierluigi Mansueto (PostDoc)