Ms Joan Mnyambo
Profiles

Ms Joan Mnyambo

School of Engineering, Computing and Mathematics (Faculty of Science and Engineering)

Biography

Biography

I am a PhD researcher in computing at the University of Plymouth, which I joined in October 2023. I received my MSc. in Information Systems from Uppsala University, Sweden, in 2019 and a Bsc. in Informatics from the Sokoine University of Agriculture (SUA), Tanzania, in 2011. My interests focus on the use of artificial intelligence in developing machine learning predictive models to improve tubeculosis diagnostic accuracy and treatment. Ultimately, contribute to efforts to address the challenges of global tuberculosis (TB) control and management. 
Research

Research

Research interests

  • Developing predictive models for the clinical management of tuberculosis
  • Machine learning techniques for automated tuberculosis diagnosis
  • Utilising radiomics for characterising tuberculosis
  • Integrating radiomic data with machine learning for personalised tuberculosis treatment
  • AI for Prediction, Diagnosis, and Detection of Diseases 
  • Digital Transformation
  • ICT for Development (ICT4D) 
Publications

Publications

Journals
  • [2024] Magesa, M.M., Jonathan, J. and Urassa, J.K., 2024. Assessing prevalence of misperceptions in agricultural activities of smallholder farmers in Tanzania. Information Development, p.02666669241232423 (Link)
  • [2023] Jonathan, J. and Barakabitze, A.A., 2023. ML technologies for diagnosing and treatment of tuberculosis: a survey. Health and Technology, 13(1), pp.17-33 (Link)
  • [2023] Jonathan, J. and Barakabitze, A., 2023. SmartTB: An innovative digital data-driven platform for enhancing tuberculosis treatment monitoring in Tanzania. Tanzania Journal of Agricultural Sciences, 22(2), pp.62-68 (Link)
  • [2023] Mnyambo, J.J. and Barakabitze, A., 2023. A SmartTB: An Integrated Digital Patient-Centric Tool for Promoting Adherence to Treatment among People Living with TB in Tanzania. East African Journal of Science, Technology and Innovation, 4 (Link)
  • [2023] Barakabitze, A.A., Jonathan, J. and Sanga, C., 2023. AI-driven internet of Agro-Things adaptive farm monitoring systems for future agricultural production and food systems in Africa. Tanzania Journal of Agricultural Sciences, 22(2), pp.22-33 (Link)
  • [2023] Magesa, M., Jonathan, J. and Urassa, J., 2023. Digital literacy of smallholder farmers in Tanzania. Sustainability, 15(17), p.13149 (Link)
  • [2022] Magesa, M.M. and Jonathan, J., 2022. Conceptualizing digital leadership characteristics for successful digital transformation: the case of Tanzania. Information Technology for Development, 28(4), pp.777-796 (Link)
  • [2021] Jonathan, J., Sanga, C., Mwita, M. and Mgode, G., 2021. Visual analytics of tuberculosis detection rat performance. Online Journal of Public Health Informatics, 13(2) (Link)
Conference Papers
  • [2020] Magesa, M. M & Jonathan, J., Digital Leadership for Digital Transformation, DSA2020: New Leadership for Global Challenges, University of Birmingham, 16-18 June 2020 (Link)
Other Publications
  • [2019] Jonathan, J., 2019. Prediction of Factors Influencing Rats Tuberculosis Detection Performance Using Data Mining Techniques (Link)