Development of Online Laboratories for Modulation and Combinational Logic Circuit Analysis Using NI ELVIS II. - Cosmas Mwikirize; Arthur Tumusiime Asiimwe; Lea Musasizi; Victoria Namuswa; Mary Dawn Nakasozi; Charles Mugga; Andrew Katumba; Sandy Stevens Tickodri-Togboa; Julius Butime; Paul Isaac Musasizi (ITNG, 2010)

New Dimensions in Teaching Digital Electronics: A Multimode Laboratory Utilizing NI ELVIS IITM, LabVIEW and NI Multisim. - Cosmas Mwikirize; Arthur Tumusiime Asiimwe; Paul Isaac Musasizi; Sandy Stevens Tickodri-Togboa; Andrew Katumba; Julius Butime (Int. J. Online Eng., 2010)

An Online Digital Filters and Sound Effects Laboratory Utilizing NI SPEEDY 33 and LabVIEW DSP Module. - Michael Kyesswa; Amru Mbajja; Arthur Tumusiime Asiimwe; Cosmas Mwikirize; Paul Isaac Musasizi; Sandy Stevens Tickodri-Togboa; Andrew Katumba; Julius Butime (ITNG, 2011)

Photonic reservoir computing approaches to nanoscale computation. - Andrew Katumba; Peter Bienstman; Joni Dambre (NANOCOM, 2015)

An integrated Photonics Reservoir Computing approach to signal equalization for telecommunications. - Andrew Katumba; Bendix Schneider; Joni Dambre; Peter Bienstman (ICTON, 2016)

PAM-4 and Duobinary direct modulation of a hybrid InP/SOI DFB laser for 40 Gb/s transmission over 2 km single mode fiber. - Amin Abbasi; Christos Spatharakis; Giannis Kanakis; Nuno Sequeira Andre; Hadrien Louchet; Andrew Katumba; Jochem Verbist; Xin Yin; Johan Bauwelinck; Hercules Avramopoulos; Gunther Roelkens; Geert Morthier (OFC, 2016)

On-Chip Passive Photonic Reservoir Computing with Integrated Optical Readout. - Matthias Freiberger; Andrew Katumba; Peter Bienstman; Joni Dambre (ICRC, 2017)

69 Gb/s DMT direct modulation of a heterogeneously integrated InP-on-Si DFB laser. - Abdul Rahim; Amin Abbasi; Nuno Sequeira Andre; Andrew Katumba; Hadrien Louchet; Kasper Van Gasse; Roel Baets; Geert Morthier; Gunther Roelkens (OFC, 2017)

A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing. - Andrew Katumba; Matthias Freiberger; Peter Bienstman; Joni Dambre (Cogn. Comput., 2017)

Silicon Photonics Neuromorphic Computing and its Application to Telecommunications (Invited). - Andrew Katumba; Xin Yin; Joni Dambre; Peter Bienstman (ECOC, 2018)

Photonic Resevoir Computing: A Brain-inspired Approach for Information Processing. - Peter Bienstman; Joni Dambre; Andrew Katumba; Matthias Freiberger; Floris Laporte; Alessio Lugnan (OFC, 2018)

A Power-Efficient Architecture for On-Chip Reservoir Computing. - Stijn Sackesyn; Chonghuai Ma; Andrew Katumba; Joni Dambre; Peter Bienstman (ICANN (Workshop), 2019)

Training Passive Photonic Reservoirs With Integrated Optical Readout. - Matthias Freiberger; Andrew Katumba; Peter Bienstman; Joni Dambre (IEEE Trans. Neural Networks Learn. Syst., 2019)

Threshold Plasticity of Hybrid Sİ-VO2 Microring Resonators. - Zhi Wang; Qiang Li; Ziling Fu; Andrew Katumba; Florian Denis-Le Coarer; Damien Rontani; Marc Sciamanna; Peter Bienstman (OFC, 2020)

A Deep Learning-based Detector for Brown Spot Disease in Passion Fruit Plant Leaves. - Andrew Katumba; Moses Bomera; Cosmas Mwikirize; Gorret Namulondo; Mary Gorret Ajero; Idd Ramathani; Olivia Nakayima; Grace Nakabonge; Dorothy Okello; Jonathan Serugunda (CoRR, 2020)

Time-aware deep neural networks for needle tip localization in 2D ultrasound. - Cosmas Mwikirize; Alvin B. Kimbowa; Sylvia Imanirakiza; Andrew Katumba; John L. Nosher; Ilker Hacihaliloglu (Int. J. Comput. Assist. Radiol. Surg., 2021)

Face Recognition as a Method of Authentication in a Web-Based System. - Ben Wycliff Mugalu; Rodrick Calvin Wamala; Jonathan Serugunda; Andrew Katumba (CoRR, 2021)

An Overview of Machine Learning-aided Optical Performance Monitoring Techniques. - Dativa K. Tizikara; Jonathan Serugunda; Andrew Katumba (CoRR, 2021)

Machine Learning-Aided Optical Performance Monitoring Techniques: A Review. - Dativa K. Tizikara; Jonathan Serugunda; Andrew Katumba (Frontiers Commun. Networks, 2021)

Computing with Integrated Photonic Reservoirs. - Joni Dambre; Andrew Katumba; Chonghuai Ma; Stijn Sackesyn; Floris Laporte; Matthias Freiberger; Peter Bienstman (Reservoir Computing, 2021)

The Makerere Radio Speech Corpus: A Luganda Radio Corpus for Automatic Speech Recognition. - Jonathan Mukiibi; Andrew Katumba; Joyce Nakatumba-Nabende; Ali Hussein; Joshua Meyer (LREC, 2022)

Explainable Machine Learning Models for Swahili News Classification. - Sudi Murindanyi; Brian Afedra Yiiki; Andrew Katumba; Joyce Nakatumba-Nabende (NLPIR, 2023)

Machine Learning Analysis of Radio Data to Uncover Community Perceptions on the Ebola Outbreak in Uganda. - Joyce Nakatumba-Nabende; Jonathan Mukiibi; Tobius Saul Bateesa; Sudi Murindanyi; Andrew Katumba; Chodrine Mutebi (ACM J. Comput. Sustain. Soc., 2024)

Building a Luganda Text-to-Speech Model From Crowdsourced Data. - Sulaiman Kagumire; Andrew Katumba; Joyce Nakatumba-Nabende; John A. Quinn (CoRR, 2024)

Luganda Speech Intent Recognition for IoT Applications. - Andrew Katumba; Sudi Murindanyi; John Trevor Kasule; Elvis Mugume (CoRR, 2024)

Enhanced Infield Agriculture with Interpretable Machine Learning Approaches for Crop Classification. - Sudi Murindanyi; Joyce Nakatumba-Nabende; Rahman Sanya; Rose Nakibuule; Andrew Katumba (CoRR, 2024)

Computer vision and deep learning in insects for food and feed production: A review. - Sarah Nawoya; Frank Ssemakula; Roseline Akol; Quentin Geissmann; Henrik Karstoft; Kim Bjerge; Cosmas Mwikirize; Andrew Katumba; Grum Gebreyesus (Comput. Electron. Agric., 2024)

A Systematic Review on Application of Multimodal Learning and Explainable AI in Tuberculosis Detection. - Barbara Nansamba; Joyce Nakatumba-Nabende; Andrew Katumba; David Patrick Kateete (IEEE Access, 2025)

Deep learning for accurate B-line detection and localization in lung ultrasound imaging. - Nixson Okila; Andrew Katumba; Joyce Nakatumba-Nabende; Cosmas Mwikirize; Sudi Murindanyi; Jonathan Serugunda; Samuel Bugeza; Anthony Oriekot; Juliet Bossa; Eva Nabawanuka (Frontiers Artif. Intell., 2025)

PaliGemma-CXR: A Multi-task Multimodal Model for TB Chest X-ray Interpretation. - Denis Musinguzi; Andrew Katumba; Sudi Murindanyi (CoRR, 2025)

Amplify Initiative: Building A Localized Data Platform for Globalized AI. - Qazi Mamunur Rashid; Erin van Liemt; Tiffany Shih; Amber Ebinama; Karla Barrios Ramos; Madhurima Maji; Aishwarya Verma; Charu Kalia; Jamila Smith-Loud; Joyce Nakatumba-Nabende; Rehema Baguma; Andrew Katumba; et al. (CoRR, 2025)