Address: Faculty of Engineering, Busitema University
Godliver Owomugisha received her PhD in Computational intelligence & modeling of crop disease data in Africa from the University of Groningen in 2020. She received her Bachelors and Masters degree in Computer Science from Makerere University in 2011 and 2015 respectively. Godliver is a Senior Lecturer at Busitema University in the Department of Computer Engineering. Her research interests are in machine learning and computational intelligence in relation to solving real world problems.
- 2015 - 2020: PhD in Computer Science, University of Groningen, The Netherlands.
Title: "Computational intelligence & modeling of crop disease data in Africa"
Award: Best Engineering Thesis Award 2020
- 2011 - 2014: Master of science in Computer Science, Makerere University, Uganda.
Title: Automated Vision-Based Diagnosis of Banana Bacterial Wilt Disease and Black Sigatoka
- 2007 - 2010: Bachelor of Science in Computer Science, Makerere University, Uganda.
- 2020 – Present Senior Lecturer, Department of Computer Engineering, Busitema University.
- 2015 – 2020 Lecturer, Department of Computer Engineering, Busitema University.
- 2011 – 2015 Teaching Assistant, Faculty of Engineering, Busitema University.
- 2010 – 2011 Tutor, Cavendish University, Uganda.
- July, 2021 – Google AI for Social Good 2021. Adoption of smartphone agro-applications for field-based disease diagnosis and real-time feedback for smallholder farmers.
- January, 2021 – Best PhD Engineering Thesis Award 2020 . The thesis was selected on this criteria: Scientific quality and impact, Long term societal impact and Interdisciplinary connections.
- August, 2020 – Data Science Africa (DSA) research grant . Title: “Early detection and diagnosis of crop diseases in asymptomatic plants: acquisition and machine learning analysis of spectral data”
- September, 2019 – Third winner. Uganda Biotechnology and Biosafety Consortium (UBBC) 2019. Certificate of Exemplary Innovation for Developing a low-cost 3-D printed smartphone add-on spectrometer for diagnosis of crop diseases prior to visible symptoms.
- See a full list here as well as from Google Scholar