Sergio Ribeiro, PhD

Assistant Professor of Business Administration

Teaching Philosophy

Society and education are constantly changing. Education in transformation is multidisciplinary and integrated. It helps us learn to know, be, do, and live. All students are unique and must have a stimulating educational environment. I desire to create this type of atmosphere where students can meet their full potential. The diverse backgrounds of my students enable them to bring to the classroom a variety of ideas relating to the class material. I like to promote an atmosphere of discussion and stimulate students to share their views regarding the subject matter and contribute to the educational experience. Some keywords: everyone matters; adaptation; balance; flexibility; and enthusiasm.

Background

I was always passionate about technology. When I discovered that technology could solve everyday problems, I decided to make it my profession. With over 20 years of experience in the industry, I worked on projects for large companies such as Bosch, PwC, Walmart, Arthur Andersen, Andrade Gutierrez, Tyrolit, Sun Microsystems, Construcap, and Payot. My experience includes consulting, management, development, and automation of processes related to operations management, supply chain, sales, human resources, marketing, finance, inventory, CRM, and accounting. After working in the industry for many years, I started to teach and gained experience having more than ten years of university lecturing in business and computer science programs. As a professor, my contribution is to discuss the wise and conscientious use of technology.
My favorite sport is soccer and I cheer for Santos FC. I also like to play chess, watch sci-fi movies, read, drink coffee, play video games, and visit new places.

Education

PhD, 2018, Pontifical Catholic University of Paraná (PUCPR), Brazil
M.Sc., 2015, State University of Ponta Grossa (UEPG), Brazil
DipBA, 2007, University of Northern Paraná (UNOPAR), Brazil
PgDip, 2006, São Luís College of Jaboticabal, Brazil
AIT, 2002, Pontifical Catholic University of Campinas (PUC/Campinas), Brazil

Research

Artificial Intelligence
Decision processing
Machine learning
Decision processing
Business strategy

Publications

Books

Ribeiro, S. S. Computers and Information Processing for Business: Microsoft Office 2019 and Python. New York: Business Expert Press, 2020.

Ribeiro, S. S. Decision Making Models: Municipal Public Administration in the Information Age. 1. Ed. Sao Paulo: Clube de Autores, 2020. (Portuguese)

Ribeiro, S. S. Introduction to Financial Management with HP12C. 1. ed. Sao Paulo: Amazon, 2017. v. 1. 152p. (Portuguese)

Ribeiro, S. S. Computational Methods Applied to Agriculture: Python & Weka. 1. ed. Rio de Janeiro: Novaterra Editora, 2016. v. 1. 122p. (Portuguese)

Ribeiro, S. S. SignWriting in Deaf Student Education. 1. ed. Curitiba: Instituto Memória Centro de Estudos Contemporâneos, 2016. v. 1. 86p. (Portuguese)

Ribeiro, S. S. Texts in Libras. 1. ed. Salvador: ASE EDITORIAL, 2016. v. 1. 43p. (Portuguese)

Peer-reviewed Journal

Ribeiro, S. S., Yao, J. T. (2019). Toward a Three-way Image Classification Model: A Case Study on Corn Grain Images. In IEEE ISM 2019.

Ribeiro, S.S. (2019). Issues of Strategic Digital City. Urban Sci. 2019, 3(4), 102.

Ribeiro, S. S., Rezende, D. A., & Yao, J. T. (2019). Toward a model of the municipal evidence-based decision process in the strategic digital city context. Information Polity Journal, 24(3), 305-324.

Riberio, S. S. Pairwise comparison as a ranking in the search portals for decision-support. Iberoamerican Journal of Applied Computing, v. 7, p. 45, 2017.

Teixeira, A. V., Ribeiro, S. S., & Arantes, V. M. (2019). The digitalization of Brazilian cities: A study based on information from the ministry of communications. Revista Jurídica, 2(55), 34-52.

Ribeiro, S. S., Yao, J. T., & Rezende, D. A. (2018). Discovering IMRaD Structure with Different Classifiers. In 2018 IEEE International Conference on Big Knowledge (ICBK) (pp. 200-204). IEEE.

Ribeiro, S. S. (2016). Classification of grain-based on the morphology, color, and texture information extracted from digital images. Int. J. Comput. Appl. Eng. Technol, 5(3), 359-366.

Ribeiro, S. S.; VAZ, M. S. M. G. ; HENNEBERG, L. ; JACCOUD FILHO, D. S. ; NAME, M. H. ; FALATE, R. Detection of Rot Corn Grains Through Data Mining Algorithms. Espacios (Caracas), v. 37, p. 7, 2016.

Name, M. H., Ribeiro, S. S., Maruyama, T. M., de Padua Valle, H., Falate, R., & Vaz, M. S. M. G. (2014). Metadata Extraction for Calculating Object Perimeter in Images. IEEE Latin America Transactions, 12(8), 1566-1571.

Ribeiro, S. S. Using Simplecv For Seed Metadata Extraction. Iberoamerican Journal of Applied Computing, v. 4, p. 29-35, 2014.

Ribeiro, S. S.; FERRASA, A. ; FALATE, R. Using Python with SIMPLECV to detect a corn kernel in digital image. Iberoamerican Journal of Applied Computing, v. 4, p. 1-7, 2014.