Foto del docente

Michele Lombardi

Associate Professor

Department of Computer Science and Engineering

Academic discipline: IINF-05/A Information Processing Systems

Teaching

Recent dissertations supervised by the teacher.

First cycle degree programmes dissertations

  • Anomaly detection nelle reti idriche
  • Identificazione di Sistemi Dinamici Tramite Metodologie di Machine Learning
  • Physics Informed Machine Learning: una Rassegna

Second cycle degree programmes dissertations

  • A Comparative Analysis of Reinforcement Learning Algorithms in a Hybrid Learning and Optimization Framework
  • A new Deep Learning model for Gamma-Ray Bursts’ light curves simulation
  • AI applications to Gas-Chromatography for Chemical Compound Detection
  • Anomaly Detection and Characterization in Tableting Machines
  • Anomaly Detection in Contesti Industriali: Implementazione di Modelli di Machine Learning per la Manutenzione Predittiva nei Nastri Trasportatori
  • Challenging the Dynamics of Time: Generate and Evaluate Real-World Time Series to estimate NOx Emissions in a Turbo Machine
  • Constrained procedural generation of 2D mazes and intelligent artificial agents for cognitive therapy
  • Contributions to a LSTM-based Machine Learning Pipeline for Forecasting Stock Market Trends
  • Data-driven Capacity Estimation of Lithium-Ion Batteries Using Machine Learning Methods
  • Dealing with Long-Term Constraints in a Hybrid Learning and Optimization Method
  • Deep Learning Methods for Fall Detection
  • Deep Renewal Equation: an informed Machine Learning approach to series of counts and probability estimation
  • Game Agents: Challenges and Examples of AI Agent Development from the Video Games Industry
  • How Reinforcement Learning can improve Video Games Development: Dreamer and P2E Algorithms in the SheepRL Framework
  • Hybrid Learning and Optimization for Routing Collaborative Robots
  • Indoor Localization Through AI and Smartphone Sensors
  • Integra: INclusive Technology for Enhanced Gradation and Review of Applicants
  • Interpolation of Annual Maximum rainfall probability distribution using Graph Neural Networks
  • Machine Learning Methods for Fall Detection
  • Metodi e modelli di machine learning per la predizione a corto raggio di serie storiche finanziarie
  • Multi-step Energy Demand Forecasting for Industrial Applications
  • Music Feature Extraction for Automatic Integration in a Sample-Based Approach for Music Generation
  • Neural Cox Model for Liver Transplant
  • On Autoregressivity in Generative Models
  • Optimizing Cloud Network Security with Anomaly Detection for DDoS Attacks
  • Path Extraction via Column Generation: an Empirical Study
  • Semi-supervised Learning in Graph Neural Networks for Structural and Property Prediction Applied to Advanced Functional Materials Design
  • Sviluppo di un modello di Machine Learning per il rilevamento e la classificazione di guasti in un nastro trasportatore
  • Vocals Recognition for Deepfake Singer Identification: using Siamese and Multi-input CNN based Ensemble Models

PhD programmes thesis

  • Novel techniques for harnessing symbolic and structured information into machine learning

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