PhD Candidate

Keila Mascarenhas de Oliveira Lima

Department of Computer science, Electrical engineering and Mathematical sciences
Keila Mascarenhas de Oliveira Lima
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Bergen
FABRIKKGT, R202-08
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Field of work

PhD Research fellow under the Centre for Research based Innovation Project: (SFI) Smart Ocean, which is composed of Academy, Industry and Public partners. The SFI Smart Ocean aims to create a flexible, robust, energy efficient, and cost-effective smart sensor network platform for marine measurement and data handling.

I have a background in the  marine robotics field where I have worked in a R&D lab as part of a team that developed innovative solutions to apply networked vehciles systems. During that period, I have also participated in several field operations in both coastal and open-seas environments. I have a master in Network and Information Systems Engineering and a bachelor’s in computer science. 

My PhD fellowship research work is related to the software architecture for Smart Ocean Monitoring, in the scope of different the marine domain applications.

Courses taught
Research areas
  • UWSN / IoUT
  • Software Engineering
Research groups

Software engineering

Publications

  • Towards a Formal and Executable Software Architecture Specification of the Smart Ocean Data Service Platform

    Heldal, Rogardt, Kristensen, Lars Michael, Lima, Keila, Oyetoyan, Tosin Daniel, Nguyen, Ngoc Thanh (2023)
    CEUR Workshop Proceedings 2023 ;Volum 3430. s. 110-125

  • Marine Data Observability using KPIS: An MDSE Approach

    Mascarenhas de Oliveira Lima, Keila, Iovino, Ludovico, Rossi, Maria Teresa, Heldal, Rogardt, Oyetoyan, Tosin Daniel, De Sanctis, Martina (2023)
    IEEE (Institute of Electrical and Electronics Engineers). s. 24-35

  • Synthesized Data Quality Requirements and Roadmap for Improving Reusability of In-Situ Marine Data

    Nguyen, Ngoc Thanh, Lima, Keila, Skålvik, Astrid Marie, Heldal, Rogardt, Knauss, Eric, Oyetoyan, Tosin Daniel (2023)
    IEEE conference proceedings. s. 65-76

  • A modular Smart Ocean Observatory for sensor and communication development, and surveillance of environmental parameters in and around an aquaculture facility

    Bergh, Øivind, Danre, Jean-Baptiste, Stensland, Kjetil, Lima, Keila, Nguyen, Ngoc-Thanh, Heidal, Rogardt (2023)

  • Engineering Challenges of Stationary Wireless Smart Ocean Observation Systems

    Nguyen, Ngoc Thanh, Heldal, Rogardt, Lima, Keila, Oyetoyan, Tosin Daniel, Pelliccione, Patrizio, Kristensen, Lars Michael (2023)
    IEEE Internet of Things Journal 2023 ;Volum 10.(16) s. 14712-14724
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