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Global Optimization Laboratory "Gerardo Poggiali"

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MLO4EMD, Machine learning-based optimization for extreme metamaterials design

MLO4EMD Machine learning-based optimization for extreme metamaterials design Invited Session Time Slot: Friday Morning Room: 003 Chair: Giorgio Gnecco Designing a broadband GRIN lens through a deep learning based data-driven method Time: 11:30 Amir Darabi (Georgia Institute of Technology), Leamy

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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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