DARA Big Data students have produced a large amount of published research during their studies and presented at various national and international conferences. Links to their work are listed below by author and area of research.  

 

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Ewurama Akuoko (MPhil Cancer Sciences)

• Big Data for Better Breast Cancer Treatment (thesis)

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Lameck Amugongo (PhD Cancer Sciences)

• Identification of modes of tumour changes in NSCLC during radiotherapy (poster)

• Identification of patterns of tumour change measured on CBCT images in NSCLC patients during radiotherapy (paper)

• PO-1569: Early prediction of tumour-response to radiotherapy in NSCLC patients (poster)

• Identification of modes of tumour regression in NSCLC patients during radiotherapy (paper)

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David Bastien (MSc Astronomy & Astrophysics)

• Machine learning for radio astronomy: Structured Variational Inference for Simulating Populations of Radio Galaxies (thesis)

• Structured variational inference for simulating populations of radio galaxies (paper)

• Case study on Data Collection of Kreol Morisien, a Low-Resourced Creole Language (paper)

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Zafiirah Hosenie (PhD Astronomy & Astrophysics)

• Comparing Multiclass, Binary, and Hierarchical Machine Learning Classification schemes for variable stars (paper)

• DEEPSOURCE: point source detection using deep learning (co-author, paper)

• Imbalance Learning for Variable Star Classification (paper)

• Data Augmentation in a Hierarchical-Based Classification scheme for Variable Stars (paper)

• Data Augmentation in a Hierarchical-Based Classification scheme for Variable Stars (poster)

• Classification of Optical Transients at the MeerLICHT Telescope using Deep Learning (paper)

• ​Classification of Optical Transients at the MeerLICHT Telescope using Deep Learning (poster)

• MeerCRAB: MeerLICHT Classification of Real and Bogus Transients using Deep Learning (paper)

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Carringtone Kinyanjui (MPhil Science Policy)

• Science in 1970: A Global Picture (video presentation)

• Astrotourism in the Mara (co-author, paper)

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Joyce Koranteng-Acquah (MPhil Science Policy)

• Vastly Untapped? How Science Diplomacy can Enhance Policies in Support of Agricultural Sciences in Ghana (thesis)

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Simon Ndiritu (MSc Astronomy & Astrophysics)

• Imputing missing data for polarisation measurements (thesis)

• Gaussian Process Modelling for Improved Resolution in Faraday Depth Reconstruction (paper)

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Emmanuel Ngonga (MSc Agricultural Data Science)

• Soybean Phenotyping for Rapid Variety Breeding in Zambia (thesis)

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Kushatha Ntwaetsile (PhD Astronomy & Astrophysics)

• Rapid sorting of radio galaxy morphology using Haralick features (paper)

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Hajanirina Randriamanantena (MRes Astronomy & Astrophysics)

• Using Gaia to derive distances to embedded objects (thesis)

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Edward Salakpi (PhD Data Intensive Science - Agriculture)

• Forecasting vegetation condition for drought early warning systems in pastoral communities in Kenya (paper)

• Remote sensing and machine learning (contributor, UK Parliament POSTnote)

• Mapping Opuntia stricta in the Arid and Semi-Arid Environment of Kenya Using Sentinel-2 Imagery and Ensemble Machine Learning Classifiers (co-author, paper)

• A Dynamic Hierarchical Bayesian Approach for Forecasting Vegetation Condition (paper)

• Forecasting vegetation condition with a Bayesian auto-regressive distributed lags (BARDL) model (paper)

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Chelmis Thiong'o (MPhil Cancer Sciences)

• Radiomics to Improve Outcomes in Cervical Cancer (thesis)

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