Gerardo Maria Mauro

Main research topics:

• Multi-objective optimization of building energy design or retrofit by coupling dynamic simulations, numerical optimization (e.g., Genetic Algorithms), and Artificial Intelligence;
• Large-scale analysis of building stocks via sampling methods (e.g., Latin Hypercube Sampling), uncertainty and sensitivity analysis, development of surrogate models (e.g., Artificial Neural Networks);
• Development and Optimization of strategies for the Model Predictive Control of energy systems;
• Investigation of building thermal envelope as concerns both critical points (e.g., thermal bridges) and innovative components to optimize energy performance;
• Integrated optimization of building energy-structural performance and investigation of innovative building components for 3d printing;
• Advanced modeling and optimization of thermodynamic components and systems by means of numerical methods and Artificial Intelligence/Deep Learning techniques;
• Computational Fluid Dynamics coupled with numerical optimization, e.g., topology optimization to address the design of heat transfer systems.