Assistant lecturer Mr. Marvin Ggaliwango developed A digital Ugandan Sign Language Dictionary for co-creating sign language products and translation services Assistant Lecturer Mr. Marvin Ggaliwango, a Machine Learning and Intelligent Systems Engineer at the Department of Computer Science , has developed a digital Ugandan Sign Language (USL) Dictionary as a foundational tool for co-creating sign language products and translation services aimed at improving communication for the Deaf and Hard of Hearing (DHH) community.

His work integrates Artificial Intelligence with inclusive design principles, strongly emphasizing co-creation by actively involving persons with disabilities in the design and development of technologies intended for their use. The digital dictionary underpins advanced sign language processing initiatives such as SignNet II, which supports bidirectional sign-to-text and text-to-sign translation using keypoint-based pose features to achieve high accuracy. Additionally, his research contributes to the development of accessible, real-time mobile translation applications for everyday use of USL.

Beyond technical innovation, Mr. Ggaliwango provides institutional leadership as Chairperson for Staff with Disabilities at Makerere University and as a Commonwealth Scholar at the University of Leeds, where he researches the intersection of artificial intelligence and inclusive policy, positioning the digital dictionary as a critical resource for future technological innovation in sign language accessibility.