Urban Management: Learning from Green Infrastructure …
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WHO. World Meteorological Organization (2017) Urban Green Interventions and Health. WHO
Regional Office for Europe, Copenhagen
Wolch JR, Byme J, Newell JP (2014) Urban green space, public health, and environment justice:
the challenge of making cities ‘just green enough’. Landscape Urban Plan 125:234–244
Professor Luciene Pimentel da Silva has spent the last 20 years lecturing, researching and consulting, as well as carrying out extension activities in environmental science and related areas.
She attained a Ph.D. in Hydrology from the University of Newcastle upon Tyne in 1997, when
she researched about the impacts of climate change in water resources by proposing a soil-water
modeling scheme to nest hydrological modeling within atmospheric models. Since then, she has
taught both undergraduate and postgraduate courses related to hydrology, hydrological modeling
and water resources in the Sanitary and Environmental Engineering Department at the State University of Rio de Janeiro, Brazil. She has also coordinated a number of research, consulting and
extension projects funded by Governmental Agencies for Science. Moreover, she has supervised
senior undergraduate research projects, as well as master and doctoral thesis. In the last years she
has been studying about green infrastructure, mainly green roofs, and their potential for flood control and urban agriculture to promote sustainability in the context of the nexus WEF. Recently, she
has joined Professor Fabio Teodoro de Souza’s research group in PPGTU/PUCPR in a senior post
doc program, to study the relations of green infrastructure and human health by means of data
mining techniques.
Professor Fábio Teodoro de Souza has spent the last 15 years lecturing, researching and consulting mainly in the Postgraduate Program in Urban Management (PPGTU) and its technologies
at the Catholic University of Paraná (PUCPR), focused on machine intelligence and data mining.
He has supervised both senior undergraduate projects and postgraduate researches. He spent postdoctoral periods in China, Italy and the USA, always applying machine learning and data mining techniques mostly in environmental science issues towards sustainable development. Professor Fábio Teodoro de Souza has been very successful recently on extracting rules with high accuracy to predict morbidity of respiratory diseases from climatological variables and atmospheric
pollution parameters. His research on predicting “numbers” on dengue fever based on built environment indicators and climatological variables has been showing to be very promising. Professor
Fabio Teodoro de Souza has published various scientific articles in very relevant scientific journals and International Conferences, and has been awarded the last two years with distinctions by
PUCPR for his relevant scientific contributions.
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