Annika Lindh

PhD student

Annika is pursuing a PhD in Computer Science in TU Dublin, with a previous MSc in Data Analytics where she developed an algorithm for unsupervised feature extraction from multi-wavelength astronomical image data. Her current research focuses on making specific and deliberate improvements to image captioning models from the perspective of human end-users with visual impairments.

Annika has an industry background in software development as well as lecturing and course management. Her core skills are in NLG/NLP and computer vision. She has experience in multiple programming languages including Python, R, C++, Embedded C and Java.

Research Domains
  • Artificial Intelligence
  • Deep Learning
  • Image and Video processing
  • Machine Learning
  • Natural Language Processing


  • PUBLICATION:SAC 2023 - 38th ACM/SIGAPP Symposium on Applied Computing
    AUTHOR(S): Annika Lindh, Robert Ross, John D. Kelleher
    DATE:07 June 2023
    TYPE:Conf papers
  • PUBLICATION:COLING 2020 - 28th International Conference on Computational Linguistics
    AUTHOR(S): Annika Lindh, Robert Ross, John Kelleher
    DATE:08 December 2020
    TYPE:Conf papers
  • PUBLICATION:ICANN 2018 - 27th International Conference on Artificial Neural Networks
    AUTHOR(S): Annika Lindh, Robert J. Ross, Abhijit Mahalunkar, Giancarlo Salton, John Kelleher
    DATE:27 September 2018
    TYPE:Conf papers