Curriculum Vitae
Profile
PhD in Industrial Engineering with expertise in AI-driven optimization for multi-energy systems and CFD simulations. Skilled in integrating energy flexibility assets to support energy transition goals. Proven ability to develop and implement advanced models to optimize energy systems across multiple time horizons.
Key Skills
- Energy System Optimization: Multi-energy flexibility analysis, AI-based modeling, AI-Based Optimization
- Control and Optimization Theory: Advanced control theory, optimization techniques, complexity analysis
- AI and Machine Learning: Neural Networks, Regression, Clustering, TensorFlow, Scikit-learn
- Simulation and Modeling Tools: ANSYS Fluent, CFX, Star-CCM+, OpenFOAM, COMSOL Multiphysics
- Programming: Python, Matlab, C, FORTRAN
- Languages: Fluent in English, Basic Italian
Experience
Research Assistant | University of Stavanger
Stavanger, Norway | Dec 2023 – Sep 2024
- Developed AI-based optimization models for multi-energy systems, achieving a 15% increase in operational efficiency and a 12% reduction in emissions.
- Conducted market and flexibility potential analysis of micro gas turbines for integration into multi-energy networks.
- Implemented rolling horizon approaches in simulations, optimizing energy flexibility in day-ahead and near-real-time scenarios.
- Collaborated with interdisciplinary teams, enhancing innovation and supporting data-driven decision-making.
- Delivered technical documentation and presentations to align research with industry needs.
Education
University of Naples Federico II
Naples, Italy | Ph.D. in Industrial Engineering | Nov 2021 – Nov 2024
Thesis: Development of tools for smart real-time optimal operation of multi-energy systems.
Azad University
Najafabad | M.Sc. in Mechanical Engineering | Sep 2015 – Sep 2017
Thesis: Numerical simulation of heat exchangers using nanofluids to improve thermal performance.
Shahrekord University
Shahrekord | B.Sc. in Mechanical Engineering | Sep 2010 – Sep 2015
Thesis: Design of HVAC systems for residential buildings.
Certificates
- Solar Energy System Design: Authorized by the State University of New York, Nov 2023 (Certificate Link)
- Deep Neural Networks with PyTorch: Authorized by IBM, Jul 2023 (Certificate Link)
- CFD Simulation Through a Centrifugal Pump: Coursera Project Network, Jul 2022 (Certificate Link)
- Introduction to Computer Vision and Image Processing: Authorized by IBM, Dec 2022 (Certificate Link)
- Machine Learning with Python: Authorized by IBM, Oct 2022 (Certificate Link)