Projects

My Msc engineering project works, focused on transport systems, infrastructure, data science, and intelligent design.

  • Sapienza University of Rome

    Rail Freight Feasibility Study

    Evaluated the Foggia–Potenza railway corridor for modern freight transportation feasibility, combining infrastructure assessment with logistics planning.

    Railway geometry reviewOperational constraints analysisFreight capacity estimation
    OpenRailwayMapRailway EngineeringInfrastructure Analysis
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    • Conducted a detailed engineering feasibility study of the corridor to assess its suitability for future freight operations.
    • Reviewed track geometry, gradients, curvature, speed limits, and station capacity to identify bottlenecks and practical constraints.
    • Estimated number of locomotive needs, train capacity, and freight potential based on regional demand and industrial connectivity.

  • Sapienza University of Rome

    Freight Demand Forecasting & Logistics Optimization

    Built forecasting and optimization models to improve freight planning decisions and reduce operating costs across a logistics network.

    Demand forecastingVRP and TSP modelingMILP optimization
    PythonScikit-LearnMILPOperations Research
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    • Applied ARIMA, SARIMA, and machine learning approaches to forecast freight demand with measurable accuracy.
    • Solved vehicle routing and scheduling problems using optimization techniques for more efficient dispatch planning.
    • Compared multiple forecasting models with standard performance metrics to support decision-making.

  • Napoli Federico II University

    Transportation Network Resilience Assessment

    Developed a stochastic simulation framework to test how regional transport systems respond to disruptions such as incidents or severe weather.

    Monte Carlo simulationNetwork resilience metricsAccessibility analysis
    PythonPTV VisumMonte Carlo SimulationGraph Theory
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    • Built and calibrated a transportation network model to represent real-world connectivity and travel behavior.
    • Used Monte Carlo simulation to evaluate the impact of random infrastructure failures on performance.
    • Measured effects on accessibility, congestion, and travel time to understand system resilience.

  • Napoli Federico II University

    Multimodal Transportation Demand Modeling

    Created a multimodal travel demand model for the Pozzuoli area to simulate behavior across private vehicles, public transport, and shared mobility.

    TAZ developmentOD matricesDiscrete choice modeling
    PTV VisumTransportation PlanningFour-Step Model
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    • Developed traffic analysis zones and integrated demographic and survey data into the modeling workflow.
    • Built origin-destination matrices and applied gravity, logit, and probit models for travel demand estimation.
    • Performed equilibrium traffic assignment to support urban mobility and policy evaluation.

  • Napoli Federico II University

    Machine Learning for Industrial Feedstock Yield Prediction

    Built an end-to-end machine learning pipeline to predict industrial feedstock yield from material and process characteristics.

    Feature engineeringModel tuningPerformance evaluation
    PythonScikit-LearnRandom ForestXGBoost
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    • Cleaned and preprocessed industrial datasets to prepare them for predictive modeling.
    • Engineered features and optimized ensemble models such as Random Forest and Gradient Boosting.
    • Evaluated model reliability using R², MAE, and RMSE to support practical deployment decisions.

  • Napoli Federico II University

    GIS Spatial Analysis & Structural Photogrammetry

    Combined GIS workflows and close-range photogrammetry to analyze terrain and geological hazards with spatial precision.

    Landslide susceptibility mappingDEM generation3D terrain reconstruction
    ArcGIS ProPhotogrammetryGISDEM Generation
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    • Produced susceptibility maps and processed raster datasets within ArcGIS Pro for terrain characterization.
    • Reconstructed 3D terrain models from field photographs to study surface geometry without direct measurement.
    • Measured geological discontinuities such as strike and dip to support structural interpretation.

  • Napoli Federico II University

    Control Systems Design & Dynamic Simulation

    Designed and evaluated feedback control systems for dynamic applications using mathematical modeling and simulation-based analysis.

    PID designState-space modelingStability analysis
    MATLABSimulinkControl SystemsPID Control
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    • Derived transfer functions and state-space models for dynamic system representation.
    • Designed PID and state-feedback controllers and applied pole placement techniques.
    • Used Root Locus, Bode, and Nyquist analyses to validate closed-loop performance in Simulink.