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Professor Ricardo Campello's expertise spans several disciplines, including data science, computer science, and applied mathematics/statistics, complemented by a focus on electrical and computer engineering. With over 25 years of teaching and research experience acquired across Brazil, France, Canada, Australia, and Denmark, he has successfully supervised a significant number of postgraduate students and has a proven track record in securing research grants. Currently, he holds a prestigious appointment supported by the International Recruit Scheme in association with major funding from the Novo Nordisk Foundation (NNF). His research primarily addresses data mining and machine/statistical learning, emphasizing the design of new algorithms and mathematical tools for descriptive and predictive analytics, particularly focusing on unsupervised and semi-supervised learning techniques. Campello's work is characterized by conceptual methods applicable across a wide spectrum of domains, and he has engaged in interdisciplinary collaborations, including projects analyzing gene-expression data. His academic qualifications include a PhD, Master's, and Bachelor's in Electrical and Computer Engineering from the University of Campinas and Sao Paulo State University respectively.
University of Newcastle •
James Cook University •
University of Melbourne •
University of Alberta •
James Cook University •
University of Alberta •
University São Paulo •
University São Paulo •
National Council Scientific & Technology Development (CNPq) •
Catholic University of Santos •
Elect. Comp. Eng., University of Campinas •
University Nice Sophia Antipolis •
Requirements are standardized for English-taught Master's programs across Science, Engineering, and Social Science departments. Some programs may require a higher GPA for restricted admission.