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Personal profile

Research interests

  • Data Science
  • Data Mining
  • Machine Learning
  • Big Data
  • Applications


Overview: Professor Ricardo Campello's expertise ranges across the disciplines of data science, computer science, applied mathematics/statistics and electrical/computer engineering. He has been teaching and doing research across these disciplines for about 25 years, in Brazil, France, Canada, Australia and Denmark. He has successfully advised an extensive list of postgraduate students, many of which supported by research grants. Over the years, Ricardo continuously secured external funding to support his research group, including highly skilled personnel. He currently holds an appointment supported by a prestigious International Recruit Scheme, with a major associated grant from the Novo Nordisk Foundation (NNF).

Ricardo's research interests fall primarily within the areas of data mining and machine/statistical learning, especially the design of new algorithms and mathematical tools for descriptive and predictive analytics. Particular emphasis is given to unsupervised and semi-supervised machine/statistical learning techniques. Although his work focuses primarily on conceptual, general-purpose methods that can be used in a wide spectrum of application domains, Ricardo has also a track record of interdisciplinary collaborations towards more specialised, application-oriented research. For instance, his current NNF grant focuses on applications in the field of gene-expression data analysis.

Education/Academic qualification

Electrical and Computer Engineering, PhD, State University of Campinas (Unicamp)

Award Date: 26. Jul 2002

Electrical and Computer Engineering, Master, State University of Campinas (Unicamp)

Award Date: 13. Jun 1997

Electronics Engineering, Bachelor, State University of São Paulo (Unesp)

Award Date: 23. Dec 1994

External positions

Visiting Academic Researcher - Comp. Sci., University of Melbourne


Honorary Adjunct Professor - Sci. and Eng., James Cook University


Full Professor - Data Science, University of Newcastle


Honorary Adjunct Professor - Comp. Sci., University of Alberta


Full Professor - Applied Math. and Stat., James Cook University


Visiting Professor - Comp. Sci., University of Alberta


Associate Professor - Comp. Sci., University of São Paulo


Assistant Professor - Comp. Sci., University of São Paulo


Research Fellow, National Council for Scientific & Technology Development (CNPq)


Assistant Professor - Informatics, Catholic University of Santos


Guest Lecturer and Research Associate (Honorary) - Elect. and Comp. Eng., State University of Campinas


Postdoctoral Fellow, University Nice Sophia Antipolis


Research areas

  • Algorithms for Large Datasets
  • Machine Learning


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