Sergio Ribeiro, PhD

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Sergio Ribeiro, PhD Assistant Professor of Management

Ph: 506-858-8970 Ext. 379
Email: Sergio.Ribeiro@crandallu.ca


AT, Pontifical Catholic University of Campinas
DipBA, University of Northern Parana

PGDipSE, Sao Luiz College
MCS, State University of Ponta Grossa
PhD, Pontifical Catholic University of Paraná

Representative Courses Taught

  • Strategic Organizational Management
  • Organizational Behaviour
  • Managerial Economics
  • Strategic Decision-making
  • Operations Management
  • Management Information Systems
  • Agribusiness Management
  • Personal and Business Mathematics
  • Business Research Design
  • Entrepreneurship and Small Business
  • Introduction to Computers
  • Software Engineering Methodology
  • Object-Oriented Design

Honours & Scholarships

Postdoctoral Fellowship, University of Regina, Department of Computer Science (2019)
University of Regina Scholarship Award (2017,2018)
PROSUC/CAPES Scholarship Award (2017)
Doctoral Scholarship, Pontifical Catholic University of Parana (2016-2018)
CAPES Scholarship Award (2016)
CAPES/UEPG Graduate Scholarship-Master’s (2014-2015)

Select Publications

Ribeiro, S. S. (2020). Computers and Information Processing for Business: Microsoft Office 2019 and Python. Business Expert Press.
Ribeiro, S. S., & Teixeira, A. (2020). Multidimensional information systems: Higher education digital services. Iberoamerican Journal of Applied Computing, 10(1).
Ribeiro, S. S. (2019). Issues of Strategic Digital City. Urban Science, 3(4), 102.
Ribeiro, S. S., Rezende, D. A., & Yao, J. (2019). Toward a model of the municipal evidence-based decision process in the strategic digital city context. Information Polity, 24(3), 305-324.
Ribeiro, S. S. (2014). Using SimpleCV for seed metadata extraction. Iberoamerican Journal of Applied Computing, 4(1).
Ribeiro, S. S., & Yao, J. (2019). Toward a three-way image classification model: A case study on corn grain images. In 2019 IEEE International Symposium on Multimedia (ISM) (pp. 177-1776). IEEE.
Ribeiro, S., Yao, J., & Rezende, D. A. (2018). Discovering IMRaD structure with different classifiers. In 2018 IEEE International Conference on Big Knowledge (ICBK) (pp. 200-204). IEEE.

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