Mini-curriculum

Stanley Oliveira has a Bachelors and a Masters degree in Computer Science from the Federal University of Campina Grande, PB, and a PhD in Computer Science from the University of Alberta, Canada. He has additional training in management skills development from Fundação Dom Cabral and advanced management from Amana-Key, among others. He is a researcher at Embrapa and currently holds the position of General Head of Embrapa Digital Agriculture, in Campinas, SP. He has a strong experience in RDI institution management and in the areas of research and administration. He is a member of the Scientific Computing Research Group at Embrapa Digital Agriculture, working in the fields of research in data mining, machine learning, big data analytics, digital transformation in agricuture, traceability and digital certificatiojn. In the academic area, he is a professor of the graduate program at the Faculty of Agricultural Engineering at the State University of Campinas (Unicamp) and a collaborating researcher at the Institute of Mathematics, Statistics and Scientific Computing at the State University of Campinas (Unicamp). He is also interested in leadership and management skills development.

Education

1986 - 1990

Graduação em Ciência da Computação

Universidade Federal de Campina Grande

Title: Sistema de informação para gestão de propriedades agrícolas

Obtained year: 1990

Advisor: Roberto Kelly Barbosa

1992 - 1995

Mestrado em Ciência da Computação

Universidade Federal de Campina Grande

Title: ALLOS - uma ferramenta para solucionar modelos de redes de filas usando cadeias de Markov

Obtained year: 1995

Advisor: Maria Izabel Cavalcanti Cabral

2001 - 2004

Doutorado em Computer Science

University of Alberta

Title: Data Transformation for Privacy-Preserving Data Mining

Obtained year: 2004

Advisor: Osmar Rachid Zaiane

Areas of expertise

1. Grande área: Exact and Earth Sciences / Área: Computer science / Subárea: Computing Methodology and Techniques / Especialidade: Data Mining
2. Grande área: Exact and Earth Sciences / Área: Computer science / Subárea: Computing Methodology and Techniques / Especialidade: Machine Learning
3. Grande área: Exact and Earth Sciences / Área: Computer science / Subárea: Computing Methodology and Techniques / Especialidade: Database
4. Grande área: Exact and Earth Sciences / Área: Computer science / Subárea: Computing Methodology and Techniques / Especialidade: Information Systems
5. Grande área: Exact and Earth Sciences / Área: Computer science / Subárea: Big Data Analytics