Fundação de Amparo à Ciência e Tecnologia de Pernambuco (FACEPE)

FAPESP and the Fundação de Amparo à Ciência e Tecnologia de Pernambuco (FACEPE) maintain a Memorandum of Understanding to support collaborative research between researchers from the State of São Paulo and researchers from Pernambuco.

The Scientific or Technological Cooperation Agreement was signed on July 3, 2025, and is valid for five years.

The Memorandum of Understanding was signed on July 19, 2018, with a validity of five years.

The Cooperation Term was signed on May 13, 2008, and was valid for five years.

The Cooperation Agreement between FAPESP, FACEPE, and ANR - proposal modifications for 2011 - was signed on July 30, 2009, with no defined duration.

Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco (FACEPE) and Agence Nationale de la Recherche (ANR)

FAPESP Cooperation Partnerships and Agreements

Research grants

Ongoing (most recent)

Abstract
Artificial intelligence applied to machine learning can be used to optimize the evaluation of consumer eggs. The objective of this project will be to predict egg quality based on attributes related to eggshell and freshness using measurements obtained by candling, depth sensing and computed tomography, associated with computer vision and machine learning techniques. A total of 1,000 white…
Chicken egg quality prediction using ovoscopy, depth sensing, computed tomography, computer vision and machine learning, AP.R
Abstract
Diversifying the energy matrix for the development of a sustainable model represents an important strategy for the development of a country. Brazil is the second biggest bioethanol producer worldwide, generating high amount of CO2 and vinasse as byproducts. The vinasse may be treated by anaerobic bio-digestion, releasing CH4 (methane), which is considered a renewable energy in the emergin…
Integrated production of biodiesel and bioactive compounds from microalgae biomass employing ethanol plant wastewater, AP.BIOEN.R

Completed (most recent)

Abstract
It is expected that an efficient isotopic geographic origin attribution model (MIAR) is one that presents a structure based on (I) a geographically comprehensive and structured database, (II) that has as input base information that encompass local, global and spatially dependent variations, (III) that present isoscapes built both on more accurate "machine learning" (ML) techniques and tha…
IsoProb - geographical assignment systems of criminal traces based on spatial machine learning and isotopic modeling, AP.R
Abstract
In Brazil, water supply and domestic sewage services account for approximately 2% of the electricity consumed in the country, and this consumption accounts for 15.4% of the sanitation sector's expenditure. Extreme climate events are becoming more frequent and they have globally driven the transition of the energy matrix to environmental-friendly options. The aim of the new wastewater trea…
Microalgae-bacteria consortium: sustainable strategy for renewable energy production and tertiary treatment of sanitary wastewater, AP.R
Abstract
There are very few studies in northeastern Brazil, a region that is home to a variety of environments used to propose hypotheses and models of diversification, but have not had an empirical contribution to advance on these discussions, particularly with the contribution of molecular biology. In northeastern Brazil, forest refuges are result from processes of expansion and shrinkage of for…
Origin and evolution of the avifauna at the highland forests in Northeastern Brazil: understanding the past connections between Amazon and Atlantic Forest, AP.R

See more Completed research grants

(Only some records are available in English at this moment)

Virtual Library in numbers * Updated data on August 23, 2025

Total / Available in English

2 / 2	Ongoing grants
13 / 11	Completed research grants
7 / 0	Completed scholarships in Brazil
22 / 13	All research grants and scholarships

Associated processes