Skip to main content

Trinity College Dublin, The University of Dublin

Trinity Menu Trinity Search

Christian Cabrera Jojoa

Ph.D. in Computer Science

Distributed Systems Group

School of Computer Science and Statistics

Trinity College Dublin

e-mail: cabrerac at scss dot tcd dot ie

I am a research assistant at the School of Computer Science and Statistics, Trinity College Dublin. My Ph.D. research focused on service discovery for smart cities and the Internet of Things (IoT). Currently, I am exploring the conjunction between service oriented computing, artificial intelligence, and self-adaptive systems to provide context-aware, pervasive, and resilient applications in large and dynamic urban environments.

Research Interests

  • Service Oriented Computing
  • Self-adaptive Systems
  • Edge Computing
  • Pervasive Computing
  • Artificial Intelligence
  • Internet of Things
  • Computer Science

2020

2019

2018

2017

2014

Teacher Assistant

  • Advanced Software Engineering (2019 - 2020)
  • What is the Internet doing to me? (2019)
  • Scalable Computing (2018)
  • Programming Project I (2018)
  • Systems Programming I (2017)

Demonstrator

  • Advanced Software Engineering (2018)
  • Programming Project II (2018)
  • Computer Engineering II (2015 - 2018)
  • Engineering Design III (2017)
  • Software Engineering Group Project (2016 - 2017)
  • Programming Project I (2016 - 2017)
  • Artificial Intelligence (2016)
  • Software Engineering (2016)

On-going

  • Cities-board: This project automates the development of graphic dashboards for smart cities. This project is developed with the Systems Engineering program at University of Nariño, Pasto, Nariño, Colombia.
  • SURF: Service-centric network for urban-scale feedback systems(2014-2018) is a 4-year SFI project on Service-centric network for urban-scale feedback systems. This project aims to answer is how can we provide a platform for effective, demand-driven composition of embedded sensing, communications and computing resources in urban environments that supports urban-scale dynamic composition, monitoring and control of services to optimise the use of urban infrastructure and resources?.