About Us
Vision
Center of excellence for innovative AI Engineering research solutions
Mission
Lead interdisciplinary research that utilises AI algorithms to solve day to day human problems
Applications
Health care, agriculture and climate change, natural sciences, surveillance, computer vision, robotics, transportation among others.
Projects
Tools for Early Disease Detection & Monitoring
griculture is the backbone of many African economies, employing over 60% of the workforce and accounting for about 20% of the continent’s GDP.
IOT Applications for Remote Sensing
leverages smartphone, Internet of Things (IoT) and machine learning techniques
IOT for medical Healthcare Systems
Developing architecture/platform for IoT-based Healthcare Heterogeneous Traffic considering resource constraints in developing countries
Skin Disease Diagnosis
Developing algorithms for skin lesion analysis.Publications
Godliver Owomugisha, Joyce Nakatumba-Nabende, Joshua Jeremy Dhikusooka, Estefania Taravera, Ephraim Nuwamanya and Ernest Mwebaze,
“A labeled spectral dataset with cassava disease occurrences using virus titre determination protocol” Data in Brief, 49, 109387, 2023, Paper
Joshua Jeremy Dhikussoka, Ephraim Nuwamanya, Estefania Talavera Martinez and Godliver Owomugisha*,
“A Light Spectrometer Device for Crop Disease Monitoring”, 11th International Conference on Learning Representations, Kigali Rwanda, 2023. Paper
J. Omara, E. Talavera, D. Otim, D. Turcza, E. Ofumbi, G. Owomugisha
“A field-based recommender system for crop disease detection using machine learning”, Frontiers in Artificial Intelligence, vol. 6, 2023. Paper
Owomugisha, Godliver and Nakatumba-Nabende, Joyce and Dhikusooka, Joshua Jeremy and Talavera, Estefanía and Nuwamanya, Ephraim and Mwebaze, Ernest,
A Labeled Spectral Dataset with Cassava Disease Occurrences Using Virus Titre Determination Protocol. Available at SSRN. Paper
Mafukidze HD, Owomugisha G, Otim D, Nechibvute A, Nyamhere C, Mazunga F.
Adaptive Thresholding of CNN Features for Maize Leaf Disease Classification and Severity Estimation. Applied Sciences. 2022; 12(17):8412. https://doi.org/10.3390/app12178412. Paper
Owomugisha, G., Melchert, F., Mwebaze, E., Quinn, J. A., & Biehl, M. (2021).
Matrix relevance learning from spectral data for diagnosing cassava diseases. IEEE Access, 9, 83355-83363. Paper
Godliver Owomugisha, Ephraim Nuwamanya, John A. Quinn, Michael Biehl, and Ernest Mwebaze. 2020.
Early detection of plant diseases using spectral data. In Proceedings of the 3rd International Conference on Applications of Intelligent Systems (APPIS 2020). Association for Computing Machinery, New York, NY, USA, Article 26, 1–6. https://doi.org/10.1145/3378184.3378222. Paper
Godliver Owomugisha, Pius K. B. Mugagga, Friedrich Melchert, Ernest Mwebaze, John A. Quinn, and Michael Biehl. 2020.
Low-cost 3-D printed smartphone add-on spectrometer for diagnosis of crop diseases in field. In Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS ‘20). Association for Computing Machinery, New York, NY, USA, 331–332. https://doi.org/10.1145/3378393.3402252. Paper
Contact Us
Jinja - Malaba Road
P.O BOX 236,
Tororo - Uganda
busitemaaiir@gmail.com
+012 345 67890