Graduated

B.Sc. in Bioengineering

• Stefano Maurogiovanni, Gene co-expression analysis through natural language processing techniques  (2020)

• Giulia Lorini, Integer programming models for computational biology problems (2018)

• Letizia Radici, Univariate multimodal data analysis and related modeling in R (2018)

• Lidia Frizzi, Comparison of cytograms using Wasserstein distance (2018)

B.Sc. in Mathematics

• Letizia Moro, Primal heuristics for optimal transport (2022)

• Alex Astolfi, Generative adversarial networks in magnetic resonance imaging (2022)

• Stefano Biavaschi, A process discovery algorithm based on integer linear programming (2022)

• Marta Pozzi, Derivative-free optimization methods (2021)

• Giacomo Maggiorano, Similarity measures between cells using optimal transport and principal component analysis for clustering (2021)

• Mattia Repossi, Algebraic and geometric aspects of linear and integer linear programming (2021)

• Lorenzo Gini, Introduction to quantum computers and Grover's algorithm (2021)

• Edoardo Tolotti, Algorithms for semi-discrete optimal transport and 3D printing (2020)

• Ennio Filicicchia, Artificial neural networks (2018)

• Enis Chenchene, Entropic optimal transport on discrete spaces: theoretical and computational aspects (2018)

B.Sc. IUSS in Mathematics

• Giacomo Maggiorano, Linearization of entropic optimal transport (2021)

• Michele Mascherpa, Word embedding through neural networks (2019)

M.Sc. in Computer Engineering

• Stefano Maurogiovanni, Parallel coarse grid generation algorithms for algebraic multigrid methods (2023)

M.Sc. in Mathematics

• Vittorio Meini, Patients who leave without being seen from the emergency department: a dynamic optimization approach based on survival regression (2024)

• Alice Daldossi, Surgical case assignment and sequencing: a data-driven approach (2024)

• Alessia Cirelli, Beam angle optimization in radiation therapy (2024)

• Giacomo Maggiorano, Nucleolus of convex and almost-concave games for horizontal collaboration in supply chain (2024)

• Beatrice Bortolotti, Classical and machine learning methods for thermal demand forecasting and their application to a cogeneration plant  (2024)

• Marco Silvestri, Minimal distortion time series embedding for anomaly detection (2022)

• Paolo Bignardi, Stochastic dual dynamic programming: theory and application to a dispatching problem (2021)

• Edoardo Vella, Reinforcement learning for the weighted maximum stable set problem (2021)

• Annalisa Lembo, Comparison and classification of cellular samples using the Wasserstein distance applied to flow cytometry data (2021)

• Enis Chenchene, Wasserstein medians: theoretical and computational aspects (2020)

• Eleonora Vercesi, The gene mover distance: theory and applications (2020)

• Sara Passoni, clustering algorithms and their application in industrial gas sales (2019)

• Alessandro Chiarotto, Experimental analysis of recommender systems (2017)

• Francesca Alfò, Delivery planning and product allocation: optimization models (2017)

M.Sc. IUSS in Mathematics

• Giacomo Maggiorano, Chvatal-Gomory cuts for the knapsack problem (2024)

• Alessia Cirelli, Data science modeling techniques for differential diagnosis of neurodegenerative diseases: a comprehensive workflow (2024)

• Michele Mascherpa, On the computation of Wasserstein barycenters (2021)

• Letizia Muffone, Integer programming methods for the optimal scheduling of meteorologists (2019)

Ongoing theses

B.Sc. in Bioengineering

• Elena Dacrema, A discrete event simulation model for analyzing new fast-tracks in the emergency department

B.Sc. in Mathematics

• Andrea Cerbone, A flexible operating room scheduler based on integer linear programming 

M.Sc. in Finance

• Mara Garbagnoli, Optimizing intraday portfolio rebalancing in algorithmic trading

• Tareq Furas, Matheuristic algorithms for the optimization of multivariate pairs trading

M.Sc. in Mathematics

• Alice Salacrist, Cyclic outpatient surgery scheduling using clustering and stochastic programming