Training Deep Neural Networks with Low Precision Input Data: A Hurricane Prediction Case Study. - Albert Kahira; Leonardo Bautista-Gomez; Rosa M. Badia (ISC Workshops, 2018)

Accelerating Hyperparameter Optimisation with PyCOMPSs. - Albert Njoroge Kahira; Leonardo Bautista-Gomez; Javier Conejero; Rosa M. Badia (ICPP Workshops, 2019)

A Study of Checkpointing in Large Scale Training of Deep Neural Networks. - Elvis Rojas; Albert Njoroge Kahira; Esteban Meneses; Leonardo Bautista-Gomez; Rosa M. Badia (CoRR, 2020)

An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks. - Albert Njoroge Kahira; Truong Thao Nguyen; Leonardo Bautista-Gomez; Ryousei Takano; Rosa M. Badia; Mohamed Wahib (HPDC, 2021)

Convergence of deep learning and high performance computing: challenges and solutions. - Albert Kahira (2021)

Early Results of Mapping Industrial Applications on Heterogeneous HPC Systems: The OPTIMA Project. - Dimitris Theodoropoulos; Giorgos Pekridis; Panagiotis Miliadis; Chloe Alverti; Panagiotis Mpakos; Dionisios N. Pnevmatikatos; Pavlos Malakonakis; Konstantinos Georgopoulos; Iakovos Mavroidis; Gino Perna; Marisa Zanotti; Giovanni Isotton; et al. (CF, 2023)

Optimizing Industrial Applications for Heterogeneous HPC Systems: The OPTIMA Project Intermediate stage. - Dimitris Theodoropoulos; Olivier Michel; Pavlos Malakonakis; Konstantinos Georgopoulos; Giovanni Isotton; Dionisios N. Pnevmatikatos; Ioannis Papaefstathiou; Gino Perna; Marisa Zanotti; Panagiotis Miliadis; Panagiotis Mpakos; Chloe Alverti; et al. (DATE, 2023)

Cross-lingual Open-Retrieval Question Answering for African Languages. - Odunayo Ogundepo; Tajuddeen Gwadabe; Clara Rivera; Jonathan H. Clark; Sebastian Ruder; David Ifeoluwa Adelani; Bonaventure Dossou; Abdou Aziz Diop; Claytone Sikasote; Gilles Hacheme; Happy Buzaaba; Ignatius Ezeani; et al. (EMNLP (Findings), 2023)

AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages. - Odunayo Ogundepo; Tajuddeen R. Gwadabe; Clara E. Rivera; Jonathan H. Clark; Sebastian Ruder; David Ifeoluwa Adelani; Bonaventure F. P. Dossou; Abdou Aziz Diop; Claytone Sikasote; Gilles Hacheme; Happy Buzaaba; Ignatius Ezeani; et al. (CoRR, 2023)

An Empirical Study of Distributed Deep Learning Training on Edge (Student Abstract). - Christine Mwase; Albert Njoroge Kahira; Zhuo Zou (AAAI, 2024)

State of NLP in Kenya: A Survey. - Cynthia Jayne Amol; Everlyn Asiko Chimoto; Rose Delilah Gesicho; Antony M. Gitau; Naome A. Etori; Caringtone Kinyanjui; Steven Ndung'u; Lawrence Moruye; Samson Otieno Ooko; Kavengi Kitonga; Brian Muhia; Catherine Gitau; et al. (CoRR, 2024)

Decentralized Learning in Space: A Framework for Efficient Model Training in LEO Constellations. - Christine Mwase; Kosta Dakic; Albert Njoroge Kahira; Bassel Al Homssi; Zhuo Zou (WCNC, 2025)