Manuel Ribeiro

Manuel Ribeiro serves as an Invited Assistant Professor in the Department of Mineral and Energy Resources Engineering at the School of Engineering, University of Lisbon, where he teaches Sampling and Environmental Analysis Methods, Multivariate Analysis of Regionalized Data, and Statistical Learning for Earth and Environmental Engineering. Affiliated with the CERENA research unit, his academic role bridges engineering and environmental health sciences through spatial statistics applications.

His research program centers on geostatistical methodologies for environmental epidemiology, with pioneering work on lichen-based air quality indicators and spatial uncertainty quantification in health exposure studies. Core interests include multivariate geostatistics for ecological associations, spatiotemporal disease modeling, and high-resolution environmental risk mapping, particularly examining air pollution's impact on birth outcomes and pandemic dynamics.

Analysis of his 15 most recent publications reveals a dominant focus on applying geostatistical simulation to public health crises (notably COVID-19) and environmental health questions. His work consistently integrates R-based open-source tools, with significant contributions to uncertainty visualization in disease mapping and agricultural resource management. The research demonstrates strong regional emphasis on Portuguese case studies while developing transferable methodological frameworks for spatial epidemiology.

No scientific awards were documented in the source materials.

As part of CERENA's research ecosystem, Ribeiro collaborates extensively on interdisciplinary projects involving environmental monitoring and health impact assessment, though specific advising roles or grant details were not provided in the source texts. His methodological innovations in spatial statistics directly support CERENA's mission in earth resources and environmental sustainability.