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Global Optimization Laboratory "Gerardo Poggiali"

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Author: Fabio Schoen

Optimization Models

An e-book on modeling techniques for Operations Research. Version 0.9, February 2022 A new book on the art of modeling optimization problems. This text is used in the “Optimization and Data Science for Management” course, Master degree in Management Engineering.

Fabio Schoen February 22, 2022February 25, 2022 Uncategorized Read more

Machine Learning & Optimization for Cancer Research

Machine Learning & Optimization for Cancer Research

This post contains several thesis proposals, all connected with an ambitious research project we have recently been assigned through a 5-year grant obtained from AIRC, the Italian Association for Cancer Research. Possible thesis topics include: How to deal with missing

Fabio Schoen December 10, 2021December 10, 2021 Theses: proposals Read more

Global Optimization methods based on Clustering, Populations, Random Projections

Global Optimization methods based on Clustering, Populations, Random Projections

We recently published a paper on GO methods based on Differential Evolution. We would like to perform more experiments and possibly extend the methods in several directions: experimenting with different dimensionality reduction techniques, apply to a large set of test

Fabio Schoen November 3, 2021December 10, 2021 Theses: proposals Read more

Experiments in quantum computing and optimization

In this thesis we would like to make a few experiments on available quantum computers. We might wish to get a try to qiskit, an open source SDK for working with quantum computers. The objective will be that of implementing

Fabio Schoen October 7, 2021October 7, 2021 Theses: proposals Read more

Exact optimization models for airport personnel scheduling

Student: Giulia Pellegrini (December 2021) In this thesis we explored the power and the limits of exact optimization models for large personnel scheduling problems. Scheduling at airports has the additional complication, with respect to other personnel scheduling problems, that shifts

Fabio Schoen September 30, 2021June 15, 2022 Theses: discussed Read more

Master Thesis Proposals / Information Engineering & Artificial Intelligence, Management Engineering et al.

We have just update a list of available topics for a Master Degree Thesis. Most of the proposals are for a master degree in Computer Science Engineering, Artificial Intelligence, Mathematics. A few are suitable for management Engineering too. Many more

Fabio Schoen September 29, 2021October 7, 2021 Uncategorized Read more

Machine learning techniques for attributes extraction in apparel images

Student: Francesca Del Lungo, 2021. This thesis was developed during a stage at Intuendi srl, Florence Clothing classification algorithms often face several challenges. First of all,clothing items often have many variations in style, texture and cutting. Second, clothing attributes are

Fabio Schoen September 29, 2021September 29, 2021 Theses: discussed Read more

Optimization methods for risk scores learning

Student: Luca Ciabini, 2021 Risk scores are classification models that predict the risk of an event using a value defined by the sum of a few integers. They are particularly interesting as they are easy to learn, to use, to

Fabio Schoen September 29, 2021September 29, 2021 Theses: discussed Read more

Machine learning models for sports betting on professional Tennis

Student: Lorenzo Amato, graduated: 2021

Fabio Schoen September 29, 2021September 29, 2021 Theses: discussed Read more

Image Captioning road scenes: a multitask deep learning approach

Student: Niccolò Bellaccini, 2020. Thesis developed partially during a stage at Verizon Connect Research Italy, Florence Image Captioning tackles the problem of generating textual descriptionsfrom pictures, and thus lies in the intersection of the Computer Vision (CV)and Natural Language Processing

Fabio Schoen September 29, 2021September 29, 2021 Theses: discussed Read more
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Recent News from the Lab

  • 2022 Summer – Two International Events Organized by GOL

  • Optimization Models

  • Master Thesis Proposals / Information Engineering & Artificial Intelligence, Management Engineering et al.

  • Open Day Engineering School

  • Introduction to Operations Research

Theses (proposals)

  • Machine Learning & Optimization for Cancer Research

  • Global Optimization methods based on Clustering, Populations, Random Projections

  • Experiments in quantum computing and optimization

  • Algorithms for Sparse Optimization

  • On the combination of Clustering and Multi-Objective Approaches

COVID-19 emergency

  • Crowded Zone – a Web App for social-distancing

  • Personnel scheduling in health care

  • Covering and localization problems

  • folding@home – GPU sharing initiative to fight the virus

  • Shift planning for emergency

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