Profiles


Marcos Patricio Orellana

Computer Sciences

Av. 24 de Mayo 7-77 y Hernán Malo

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marore@uazuay.edu.ec

Marcos Patricio Orellana

Education


  • Magister en Docencia Universitaria, Universidad Del Azuay, Ecuador, 2016
  • Magister en Gestión de Sistemas de Información e Inteligencia de Negocios, Escuela Politecnica Del Ejercito, Ecuador, 2016
  • Especialista en Docencia Universitaria, Universidad Del Azuay, Ecuador, 2005
  • Ingeniero de Sistemas, Universidad Del Azuay, Ecuador, 2003

Marcos Patricio Orellana

Computer Sciences

marore@uazuay.edu.ec


Expertise and Research Interests

Profesional con amplia experiencia en bases de datos Oracle y dirección de departamentos de TI. Desarrollador de Sistemas de Información Transaccionales y de Inteligencia de Negocios. Docente y Coordinador de Escuela Ingeniería de Ciencias de la Computación de la Universidad del Azuay, responsable del Laboratorio de Investigación y Desarrollo en Informática (LIDI).

https://scholar.google.com.ec/citations?user=tc3-fvkAAAAJ&hl=es
https://orcid.org/0000-0002-3671-9362

Notable Achievements

  • Reconocimiento al mejor artículo del Track Científico del Sexto Congreso Ecuatoriano de Tecnologías de la Información y Comunicación TIC.EC 2018. Riobamba, Ecuador, 2018
  • Reconocimiento de mejor artículo en el XV Congreso Internacional de Información, INFO 2018. La Habana, Cuba., 2018

Research projects and activities

    Publications

    • A Data Infrastructure for Managing Information Obtained from Ambient Assisted Living Environments . International Conference on Information Systems and Computer Science, pág: 6 (2020)

    • A Novel Approach to Detect Missing Values Patterns in Time Series Data. Information and Communication Technologies of Ecuador (TIC.EC), pág: 13 (2019)
      Link: 10.1007/978-3-030-35740-5_11

    • A Subject Syllabus Similarity Analysis to Address Students Mobility Issue. Society, Cybernetics and Informatics: IMSCI 2018, pág: 6 (2018)

    • A Text Mining Methodology to Discover Syllabi Similarities among Higher Education Institutions. IEEE COMPUTER SOCIETY DIGITAL LIBRARY, pág: 8 (2018)
      Link: 10.1109/INCISCOS.2018.00045

    • A comparative evaluation of preprocessing techniques for short texts in Spanish. Future of Information and Communication Conference , pág: 14 (2020)

    • A methodology to predict emergency call high-priority: Case study ECU-911. Seventh International Conference on eDemocracy & eGovernment, pág: 5 (2020)

    • A novel imputation method for missing values in air pollutant time series data. IEEE LA-CCI 2019 Conference Proceedings, pág: 6 (2020)

    • A study on the impact of pre-processing techniques in Spanish and English text classification over short and long text documents. IEEE COMPUTER SOCIETY DIGITAL LIBRARY, pág: 8 (2018)
      Link: 10.1109/INCISCOS.2018.00047

    • A text mining approach to discover real-time transit events from Twitter. Advances in Intelligent Systems and Computing, pág: 15 (2018)
      Link: 978-3-030-02828-2_12

    • An Open Source Synchronous and Asynchronous Approach for Database Replication. Advances in Intelligent Systems and Computing, pág: 13 (2018)
      Link: 10.1007/978-3-030-02828-2_4

    • An evaluation methodology of named entities recognition in Spanish language: Case study ECU 911. International Journal on Advanced Science, Engineering and Information Technology, pág: 8 (2020)

    • Attacking an ERP with Open Source Software. Enfoque UTE, pág: 11 (2018)
      Link: https://doi.org/10.29019/enfoqueute.v9n1.253

    • Design of Emergency Call Record Support System Applying Natural Language Processing Techniques. Conference on Information Technologies and Communication of Ecuador, pág: 13 (2019)
      Link: 10.1007/978-3-030-35740-5_4

    • Discovering Behavioral Patterns Among Air Pollutants: A Data Mining Approach. IEEE COMPUTER SOCIETY DIGITAL LIBRARY, pág: 6 (2018)
      Link: 10.29019/enfoqueute.v9n4.411

    • Outlier detection with data mining techniques and statistical methods. ENFOQUE UTE, pág: 11 (2020)
      Link: 10.29019

    • Similarity Detection among Academic Contents through Semantic Technologies and Text Mining.. International Workshop on Semantic Web, pág: 12 (2018)

    • Undertaking an ERP - Evaluating the security of APEX 5 developed software. 2017 International Conference on Information Systems and Computer Science (INCISCOS), pág: 7 (2018)
      Link: https://doi.org/10.29019/enfoqueute.v9n1

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