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Global Optimization Laboratory "Gerardo Poggiali"

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Month: October 2015

Hospital inventory management

 

Fabio Schoen October 26, 2015September 29, 2021 Uncategorized Read more

Predictive Mainteinance

Changed to machine learning for  ephylectic seizure prediction candidate: Alberto Pitti Machine learning for fault prediction in mechanical engines

Fabio Schoen October 26, 2015February 16, 2017 Theses: discussed Read more

Shortest paths in multi-modal dynamic networks

Development of efficient shortest path algorithms for real life path planning problems involving different means of transportation, time, multiple objectives, big data Candidate: Andrea Nencini Requirements: advanced coding skills, preferably C++  

Fabio Schoen October 26, 2015February 16, 2017 Theses: discussed Read more

Semi supervised learning: Branch and Bound

Implementation of global optimization algorithms, preferably in python, to trai a SVM in which some of the data has no label Many algorithms exist for S3VM – exact (branch and bound) and heuristic (global optimization). We aim at implementing some

Fabio Schoen October 7, 2015February 23, 2016 Theses: discussed Read more

Data driven inventory management

This thesis is on numerical experiments for optimal ordering decisions based on (big) data avaialble – a generalization of the classical newsvendor problem which is data driven and robust with respect to the uncertainty of demand   Candidate: Sadhana Rebehi  

Fabio Schoen October 6, 2015February 16, 2017 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)

  • Thesis Proposals (M. Lapucci)

  • Machine Learning & Optimization for Cancer Research

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

  • Experiments in quantum computing and 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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