Naftali Indongo

Research Interests: Natural Language Processing (NLP), Generative AI, Human-Computer Interaction, Computer Vision, Co-Design

Research Statement

Researcher under the UNESCO Chair in Digital Technology Design with Indigineous People (well-known as the Indigineous Knowledge Technologies research cluster) at the Namibia University of Science & Technology, with a primary focus on Natural Language Processing (NLP) for Indigenous language preservation by developing multilingual translation systems for low-resource languages through text-to-text, text-to-speech, and speech-to-text technologies. Additional research interests include generative AI, particularly diffusion models and text-to-3D generation, with the goal of creating culturally grounded and inclusive AI systems. Working at the intersection between academia and industries by transforming academic research into practical technologies and fostering collaborative innovation between academia, industry, and Indigenous communities.

Publications:
Shwele Phulu, Mateus N. Natanael, Naftali N. Indongo , Angeline Mukaman , Metumo Shifidi, Joseph Musenge. 2024. A System for Early Detection of Foot and Mouth Disease in Cattle Using Machine Learning. 2024 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC). https://ieeexplore.ieee.org/author/671430957105269

Naftali N. Indongo. Satellite Image Classification in the Low Resource Context. In the proceedings of the 2023 South African Conference for Artificial Intelligence Research (SACAIR). December 2023

Naftali N. Indongo, Ronnie Becker. 2019. “Recurrent Neural Networks and Varients for Stock Market Prediction.” African Institute for Mathematical Sciences (AIMS), Cape Town, South Africa. https://library.nexteinstein.org/wp-content/uploads/2022/04/2018-2019-naftali.pdf