Claudio Persello

dr. Claudio Persello
Department
EOS
https://people.utwente.nl/c.persello
M-GEO
M-SE
ACQUAL

Deep learning for integration of Satellite images and google StreetView for mapping informal settlements (slums)

Mapping and monitoring slums is essential to ensure the sustainable development of the cities to ensure a quality of life for people.

M-GEO
M-SE
ACQUAL

Deep Learning based multisource data fusion for detecting deforestation (Supervision in collaboration with INPE/Brazil)

An accurate method for automatically mapping deforested areas constitute an important tool to inform and enable deforestation containment policies.

GIMA
M-GEO
M-SE
ACQUAL
PLUS

Modelling urban socio-economic inequalities - living conditions - deprivation (slums) using machine learning and earth observation (topic has several sub-topics)

LINK TO RESEARCH PROJECTS

The MSc topics link to several ongoing larger research projects that allow being part of international research teams - both projects just started:

GIMA
M-GEO
M-SE
4D-EARTH
ACQUAL
PLUS

Digital Twins for city modeling and simulation

The digital twin (DT) (smart city/3D modelling) topic currently attracts the attention and interest of many cities, authorities, industrial and research organizations at national, European and inte

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