CV

Education

[Ed.3] Ph.D in industrial engineering with specialization in Energy Systems, Università Politecnica delle Marche, 2020-2024
[Ed.2] M.S. in Mechanical engineering with thermo-mechanical specialization, Università Politecnica delle Marche, 2017-2019
[Ed.1] B.S. in Mechanical engineering, Università Politecnica delle Marche, 2014-2017

[W3] Jan 2024-Now: Postdoctoral Researcher at Eindhoven University of Technology (NL) with supervisors: Dr. Nikolaos Paterakis, Dr. Phuong Nguyen and Dr. Christina Papadimitriou
[W2] Nov 2020-Oct 2023: Ph.D Researcher at Università Politecnica delle Marche (IT) with supervisor: Prof. Gabriele Comodi
[W1] Dec 2019-Oct 2020: Engineering consultant at Whirlpool with supervisor: Piotr Rosiak

[A4] Reviewer for journals: IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid, Applied Energy, Sustainable Energy Grids and Networks, Sustainability, IEEE Systems, IEEE transactions on Intelligent transportation systems
[A3] Reviewer for conferences: Innovative Smart Grid Technology Conference (ISGT) Europe, Smart Energy Systems and Technologies (SEST), PowerTech conference, Efficiency-Cost-Optimization-Simulation and Environmental Impact of Energy Systems (ECOS)
[A2] Member of the IEEE Power and Energy Society (PES) and IEEE Industrial Electronics Society (IES)
[A1] Member of the Eindhoven Institute for Renewable Energy Systems (EIRES)

1. Energy Systems & Multi-Physics Modeling

System-Level Simulation: Multi-physics modeling of P2HPower-to-Hydrogen: Converting electrical power into hydrogen gas via electrolysis. systems, Alkaline electrolyzers, and Lithium-ion batteries (electrochemical modeling & degradation analysis).
Power Systems Analysis: Transmission/distribution power flow (OPFOptimal Power Flow: Mathematical optimization of power generation and routing.), grid congestion management, and DER asset management.
Thermodynamic Assessment: Advanced fluid property modeling using CoolProp, RefProp, and Cantera.

2. Optimization & Mathematical Modeling

Optimization Paradigms: Linear (LP), Mixed-Integer Linear (MILP), MICPMixed-Integer Conic Programming: Used for complex, non-linear convex optimization problems., and Bilevel Optimization.
Energy Applications: Planning and scheduling optimization for complex energy networks.
Solvers: Expert proficiency in Gurobi, CPLEX, MOSEK, HiGHS, and Ipopt.

3. AI, Machine Learning & Data Science

Data Science Pipeline: Exploratory Data Analysis (EDA), feature engineering, dimensionality reduction, and full ML pipeline integration.
Advanced AI Applications: GNNsGraph Neural Networks: Deep learning methods for data described by graphs (like power grids). for optimization; Supervised/Unsupervised learning for energy time-series (load, weather, and price forecasting).
Explainability & Reporting: Model interpretation using SHAP and LIME for stakeholder reporting.

4. Mechanical Design & Physical Prototyping

Computer-Aided Design (CAD): 3D modeling (SolidWorks, SolidEdge) and 2D drafting (AutoCAD, Rhinoceros).
Simulation (CFD): High-fidelity fluid dynamics using Ansys Fluent and Star-CCM+.
Workshop & Manufacturing: CNC programming, manual machining/milling, and carbon fiber lamination.

5. Programming & Software Engineering

Language & Libraries: Python (Pandas, NumPy, PyTorch, SciPy, Pyomo, GeoPandas).
Visualization: Interactive dashboarding and plotting via Plotly, Seaborn, and Streamlit.
DevOps & CI/CD: Version control (Git/GitHub), containerization (Docker,Podman), automated workflows (GitHub Actions), experiment tracking (MLflow), and documentation (Sphinx).