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Alexandra Elizabeth Bermeo Arpi

Research Interest: Information and communication technology, IoT, Education and IT, Active ageing.

Academic Fields: Electronic Engineering, Computer Sciences

0000-0002-2697-7528 0000-0002-2697-7528

alexbermeo@uazuay.edu.ec


  • MASTER OF INFORMATION TECHNOLOGY, GRIFFITH UNIVERSITY, AUSTRALIA, 2015
  • INGENIERA ELECTRONICA, UNIVERSIDAD DEL AZUAY, ECUADOR, 2012
  • Becaria Senescyt Convocatoria Abierta 2013 segunda fase (2013)
  • Unravelling the success factors of Latin-American Fair Trade projects: Conceptualizing the Active Ageing Index (AAI): A Systematic Literature Review of Frameworks and Supporting Digital Tools.. Proceedings of the 10th International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AWE 2024), pág: 8 (2024)
    Link: https://www.scitepress.org/Papers/2024/127220/127220.pdf
  • Unravelling the success factors of Latin-American Fair Trade projects. : La certificación de comercio justo como promotora del éxito en proyectos latinoamericanos. , Guayaquil. (2023).
  • Conceptualizing the Active Ageing Index (AAI): A Systematic Literature Review of Frameworks and Supporting Digital Tools.: Application of Data Mining Clustering for Patterns Analysis of Cyberbullying Surveys. International Congress on Information and Communication Technology, pág: 10 (2023)
    Link: https://doi.org/10.1007/978-981-99-3236-8_26
  • La certificación de comercio justo como promotora del éxito en proyectos latinoamericanos. : Quality Model for CloudIot Applied in Ambient Assisted Living (AAL). 9th Conference on Information and Communication Technologies of Ecuador, TICEC 2021Virtual, Online, pág: 15 (2021)
    Link: 10.1007/978-3-030-89941-7_14
  • Application of Data Mining Clustering for Patterns Analysis of Cyberbullying Surveys: Low-Cost Myoelectrical Hand Orthosis to Regain Autonomy in Daily Tasks After a Stroke: A Neurorehabilitation Case Study. AHFE Conferences on Usability and User Experience, Human Factors and Wearable Technologies, Human Factors in Virtual Environments and Game Design, and Human Factors and Assistive Technology, 2021, pág: 6 (2021)
    Link: 10.1007/978-3-030-80091-8_58
  • Quality Model for CloudIot Applied in Ambient Assisted Living (AAL): Microlearning Method to Building Learning Capsules for Older Adults: A Case Study for COVID-19 Prevention at Home. 5th IEEE Ecuador Technical Chapters Meeting, ETCM 2021, pág: 6 (2021)
    Link: 10.1109/ETCM53643.2021.9590793
  • Low-Cost Myoelectrical Hand Orthosis to Regain Autonomy in Daily Tasks After a Stroke: A Neurorehabilitation Case Study: CloudIoTSecurity: Evaluating the Security in Cloud IoT Applications. 2020 IEEE ANDESCON, ANDESCON 2020, pág: 6 (2020)
    Link: 10.1109/ANDESCON50619.2020.9272054
  • Microlearning Method to Building Learning Capsules for Older Adults: A Case Study for COVID-19 Prevention at Home: A Forensics Activity Logger to Extract User Activity from Mobile Devices. 6th International Conference on eDemocracy and eGovernment, ICEDEG 2019, pág: 6 (2019)
    Link: 10.1109/ICEDEG.2019.8734298
  • CloudIoTSecurity: Evaluating the Security in Cloud IoT Applications: CALMS: A context-aware learning mobile system based on ontologies. 6th International Conference on eDemocracy and eGovernment, ICEDEG 2019, pág: 8 (2019)
    Link: 10.1109/ICEDEG.2019.8734423
  • A Forensics Activity Logger to Extract User Activity from Mobile Devices: Forensics Analysis on Mobile Devices:A Systematic Mapping Study. 6th Conference on Information Technologies and Communication of Ecuador, TIC-EC 2018, pág: 16 (2018)
    Link: 10.1007/978-3-030-02828-2_5
  • CALMS: A context-aware learning mobile system based on ontologies: A Method for Building Massive Open Online Courses for Elderly People MOOCEP: From the User Perceptions. 48th Frontiers in Education Conference, FIE 2018, pág: 7 (2018)
    Link: 10.1109/FIE.2018.8658587
  • Forensics Analysis on Mobile Devices:A Systematic Mapping Study:
  • A Method for Building Massive Open Online Courses for Elderly People MOOCEP: From the User Perceptions: