Il prossimo appuntamento con la serie di incontri PhDTalks si terrà Martedì 18 febbraio nell’aula Fassò (Edificio 4A), dalle 17:15 alle 18:30 CET.

PhDTalks è una serie di seminari e discussioni tra dottorandi. Gli eventi hanno lo scopo di fornire un luogo dove creare un network tra dottorandi ed entrare in contatto con i molti progetti sviluppati nel nostro dipartimento.

Lo speaker Angelly de Jesus Pugliese Viloria condurrà un seminario dal titolo “Simulating the effect of Nature-based Solutions as a mitigation tool for Urban Heat Islands”. 

Al termine dell’evento sarà disponibile un piccolo rinfresco finanziato dal dipartimento.

Sarà possibile seguire la conferenza anche online al seguente link.

Abstract

More than 3.3 billion people live in areas highly vulnerable to climate change, facing threats to health, infrastructure, and economic stability. This research focuses on modeling and mapping the susceptibility towards climate change-related hazards using machine learning, with a particular emphasis on the Urban Heat Island (UHI) effect—an issue prevalent in densely built environments with limited vegetation.Using satellite and authoritative data, including Landsat 8-derived land surface temperature and land cover information, surface UHI was modeled in Milan. To explore mitigation strategies, the study assesses the impact of Nature-Based Solutions (NbS), which have been shown to reduce both the frequency and intensity of UHIs. By simulating the strategic addition of vegetation, the analysis re-evaluates UHI patterns to quantify the potential benefits of NbS in urban environments.

Speaker’s bio

Angelly is a computer scientist from Universidad del Norte (Colombia) and a Geoinformatics Engineer from Politecnico di Milano (Italy). Her projects consisted of the development of a QGIS plugin for location privacy and the application of deep learning to classify deforestation leveraging open satellite imagery, respectively. She is currently pursuing a PhD in Environmental Engineering focused on Geomatics. Her current research regards the application of artificial intelligence to produce the susceptibility models and maps of climate change related hazards in urban areas. Furthermore, the models can be used to evaluate the impact on the susceptibility introduced by simulated nature based solutions.
During her PhD studies, she has been a consultant for the World Bank, specifically developing geospatial applications currently focused on GeoAI as a service.

In her free time, she enjoys doing exercise, dancing, connecting with nature, and reading a good book, mostly from Colombian authors.