Dr. Francesca Villano is a distinguished Ph.d. student in civil engineering at the University of Sannio, Italy, recognized for her strong academic record and impactful research in building energy performance, machine learning applications, and climate-resilient building design. She graduated with honors in both her bachelor’s degree and master’s degree, earning a special mention for academic excellence, and began her Ph.d. studies with a scholarship. She received the national prize for the best thesis in civil engineering in the prestigious “ingenio al femminile” competition organized by the national council of engineers. Her research contributions span advanced topics such as building energy simulation, in-field monitoring, passive cooling technologies, artificial neural networks for energy forecasting, and the effects of aging and soiling on cool roof performance. Francesca has authored 4 scientific documents, which have collectively garnered 36 citations from 36 documents, demonstrating the growing influence of her work within the scientific community. She currently holds an h-index of 2, reflecting the early yet meaningful impact of her publications. Through her interdisciplinary approach and strong analytical foundation, she continues to advance innovative solutions for sustainable, energy-efficient, and climate-adaptive buildings, positioning herself as a promising emerging researcher in the field of civil and environmental engineering.
Profile: Scopus
Featured Publication
Villano, F. (2025). Artificial neural networks to forecast building heating/cooling demand and climate resilience based on envelope parameters and new climatic stress indices. Journal of Building Engineering.