School of Computing & IT,
P.O. Box 7062,
Office: Block B, Level 3, Rm 303
P: (+256) 772-121-272
H: Mon - Fri: 8:00 AM to 5:00 PM
Presently, my specific research interests are in developing the nexus betweeen computation and agriculture. Particularly I am interested in improving
The smallholder farmer particularly in developing countries is a very key person because he/she depends mainly on yield from his/her garden to feed his/her children, to send them to school, and afford healthcare.
To this end I am implementing a
Prototype classification schemes are supervised machine learning techniques that use a distance measure to quantify the similarity between new data and a trained prototype. I particularly looked at extending LVQ by the use of divergences as a distance measure.
Here, I was looking at discovering causal structure from observational data. I came up with some new algorithms and novel ways of applying the algorithms to natural datasets for example to understand disease associations and how socio-economic factors affect food insecurity.
I have also flirted with the field of mathematical modeling of infectious diseases. Here, I was using stochastic transmission models to model Trachoma, Ebola and Leprosy. Work here was mainly done with the modeling group at UCSF.
Diagnostics toolbox for disease detection in cassava plants.
I have received one grant from the Gates foundation and several research fellowships.
The PEARL program is a BMGF Program for Emerging Agricultural Leaders (PEARL). I got a grant entitled Automated mobile survey technology and spatial modeling of viral cassava diseases in Uganda. Go to project site....
The Mathematical Modeling of Epidemiological Diseases (MMED) program is an annual clinic held in South Africa that tries to create linkages between scientists from the US and Africa around mathematical modeling of disease. I attended the first clinic as a student and the second as a tutorial/lab assitant.
I visited with a mathematical modeling group at the University of California, San Francisco in 2014 for 6 weeks. Part of the results of this was a paper on modeling of Ebola in West Africa.
I visited with Massachussetts Institute of Technology (MIT) for over 3 months in 2015 under a program Empower The Teachers (ETT) under MIT International Science and Technology Initiatives (MISTI) program.
It is said a life of service is mans noblest calling. I look at my role as a teacher as a calling, and this defines the underlying philosophy I adhere to. My philosophy to teaching is captured by three core beliefs: (1) that students learn from what they
This is an introductory course on AI. In this course I dwell on the key concepts of search, probabilistic reasoning, machine learning and some applications in computer vision.
One of my favorite courses to teach to software engineers.
Previous course I offered.
Previous course I offered.
Pre-requisite for this courses is an undergraduate course in AI or machine learning. Here students go to a greater depth in both theory and implementation of AI trending research.
Previous course I offered on programming mobile web apps, native apps and hybrid apps.
Previous course I offered on mobile broadband and ubiquitous computing.