dr. M.R. Machado (Marcos)

Assistant Professor

About Me

Marcos Machado is an Assistant Professor in Business and Information Systems at the Industrial Engineering and Business Information Systems (IEBIS) department section of the University of Twente. His current research interests are focused on the applications of machine learning algorithms, data science, and analytics to solve business problems.


He received his Ph.D. in Modelling and Computational Science from the Ontario Tech University (Canada), and he holds an MSc in Production Engineering from the University of Sao Paulo (Brazil) and a BSc in Mathematics from the Federal Institute of Education, Science, and Technology of Ceara (Brazil). He also has over seven years of experience working in the Brazilian and Canadian banking industries. 


Business & Economics
Financial Industry
Learning Algorithm
Machine Learning
Engineering & Materials Science
Learning Algorithms
Machine Learning


Medeiros, E. P. , Machado, M. R., de Freitas, E. D. G., da Silva, D. S., & de Souza, R. W. R. (2024). Applications of machine learning algorithms to support COVID-19 diagnosis using X-rays data information. Expert systems with applications, 238(Part B), Article 122029. https://doi.org/10.1016/j.eswa.2023.122029
Moreira, J. , Ugulino, W. , Machado, M. R. , & Pires, L. F. (2023). Challenge-Based Learning and Constructive Alignment: A Challenge for Information Systems' Educators. In G. Reilly, M. Murphy, B. V. Nagy, & H.-M. Jarvinen (Eds.), SEFI 2023 - 51st Annual Conference of the European Society for Engineering Education: Engineering Education for Sustainability, Proceedings (pp. 2517-2526). Societe Europeenne pour la Formation des Ingenieurs (SEFI). https://doi.org/10.21427/V8GC-C794
Machado, M. R., Karray, S., & De Sousa, I. T. (2019). LightGBM: An effective decision tree gradient boosting method to predict customer loyalty in the finance industry. In 14th International Conference on Computer Science and Education, ICCSE 2019 (pp. 1111-1116). Article 8845529 IEEE. https://doi.org/10.1109/ICCSE.2019.8845529
MacHado, M. R., Kenichi Fujii, M., De Oliveira Ribeiro, C., & Rego, E. E. (2019). An Agent-Based Model Applied to Brazilian Wind Energy Auctions. IEEE Latin America Transactions, 17(5), 865-874. Article 8891956. https://doi.org/10.1109/TLA.2019.8891956

UT Research Information System

Google Scholar Link


Teaching (Teacher/Tutor):

  • B-IEM/B-BIT (Module 3):   Business Process Management (BPM)
  • B-BIT/B-TCS (Module 12): Track Coordination (Information Management)
  • Minor (Module 9): Enterprise Soft. for the Integration of Adm. Processes (ESIAP)
  • M-BIT: Smart Industry Systems (SIS)
  • M-BIT/M-IEM/M-BA: Applications of AI in Business (AAIB)

Teaching (Recurrent Guest Lectures):

  • M-BA/M-BIT: Electronic Commerce (EC)
  • M-BA/M-BIT: Information Systems for the Financial Services Industry (ISFSI)

Supervision of BSc thesis projects (1st or 2nd Supervision):

  • (Finished) Kristupas Raicevicius
  • (Finished) Tijmen Prins
  • (Finished) Giovanni Herbert
  • (Finished) Tom Frieling
  • (Finished) Nicole Busse
  • (Finished) Marcus Muller
  • (Finished) Zoelle van Bommel
  • (Finished) Simon Prinsen
  • (Finished) Emilio Solino Overmars
  • (Finished) Marnix Krikken
  • (Finished) Augustin Catalab
  • (Finished) Marcel de Roos
  • (Finished) Bjorn van Braak
  • (Finished) Jasper van Beurden
  • (Finished) Halyn Cho
  • (Finished) Pim Verheul
  • (Finished) Anton Tsankov
  • (Finished) Louis Daniel L. Fuentes
  • (Finished) Alexandru Matcov

Supervision of MSc thesis projects (1st or 2nd Supervision):

  • (Finished) Roel Bruins
  • (Finished) Daniel Chen
  • (Finished) Jaap Beltman
  • (Finished) Edo Belva Firmansyah
  • (Finished) Michael
  • (Finished) Raef Kazi
  • (Finished) Alessandra Amato
  • (Finished) Luca Kozian
  • (Finished) Sonakashi Dhawan
  • (Finished) Michiel Jongenjan
  • (Finished) Dyon Kok
  • (Finished) Sebastian Goldmann
  • (Finished) Lennart Boeringa
  • (Finished) Pratyush Gupta
  • (Ongoing) Douwe Rotink
  • (Ongoing) Jens Reil
  • (Ongoing) Pedro Silva
  • (Ongoing) Arno de Vries
  • (Ongoing) Sherick Burggraaff
  • (Ongoing) Julius Kooistra
  • (Ongoing) Akhil Raja Keshetti 
  • (Ongoing) Abel van Raalte
  • (Ongoing) Oleg Silcenco
  • (Ongoing) Sophie Gaastra

Internship supervision:

  • (Finished) Alessandra Amato
  • (Finished) Nabila Pindya
  • (Finished) Oleg Silcenco
  • (Finished) Sophie Gaastra
  • (Finished) Akhil Raja Keshetti

Committee Service:

Affiliated Study Programmes



Courses Academic Year  2023/2024

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses Academic Year  2022/2023


My research endeavors revolve around the application of analytics, econometrics, applied statistics, and mathematical principles, leveraging data-driven methodologies and machine learning algorithms to address various business challenges. Presently, I am engaged in five significant research initiatives, supported by funding from esteemed entities such as the European Union (IS2H4C, MSCA - DIGITAL, COST), the Dutch Government (Kick-Start AI), and the University of Twente (CEP Twente). Further information regarding these projects is outlined below.

    Current Projects

    In the press

    News on utwente.nl


    Contact Details

    Visiting Address

    University of Twente
    Faculty of Behavioural, Management and Social Sciences
    Ravelijn (building no. 10), room 3105
    Hallenweg 17
    7522NH  Enschede
    The Netherlands

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    Mailing Address

    University of Twente
    Faculty of Behavioural, Management and Social Sciences
    Ravelijn  3105
    P.O. Box 217
    7500 AE Enschede
    The Netherlands

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