Dr. Neema Mduma

Wasifu

Dr. Neema Mduma is a computer scientist and a lecturer in the school of Computational and Communication Sciences and Engineering (CoCSE) at the Nelson Mandela African Institution of Science and Technology (NM-AIST). She obtained her PhD in Information and Communication Sciences and Engineering from the Nelson Mandela African Institution of Science and Technology (NM-AIST). Neema is passionate about education particularly to girls and she is the founder of BakiShule, an application which aims at preventing students from dropping out of school.

Dr. Mduma has been among the advisors of a peer educators’ group that voluntarily provides education to the youth and other people around the community, at no cost to the beneficiaries. As part of the community work, Neema organizes free trainings and workshops on the role of girls in data science, machine learning and artificial intelligence. The workshops and trainings aim to encourage an exploration with technology, to promote self-confidence and to support aspiration to technical careers among girl students.

In 2020, Dr Mduma has been selected as one of the twenty “Young Talents” of the L’Oréal-UNESCO For Women in Science regional Programme in Sub-Saharan Africa for her research project on "Data Driven Approach for Predicting Student Dropout in Secondary Schools”.

Machapisho

1. 2024

   Review of Sources of Uncertainty and Techniques Used in Uncertainty Quantification and Sensitivity Analysis to Estimate Greenhouse Gas Emissions from Ruminants

   Erica Hargety Kimei, Devotha G. Nyambo, Neema Mduma, Shubi Kaijage · MDPI

2. 2024

   Mobile-Based convolutional neural network model for the early identification of banana diseases

   Christian A. Elinisa, Neema Mduma · ScienceDirect/Smart Agricultural Technology

3. 2024

   Updating “machine learning imagery dataset for maize crop: A case of Tanzania” with expanded data to cover the new farming season

   Neema Mduma, Flavia Mayo · ScienceDirect/Data in Brief

4. 2024

   Deep learning models for the early detection of maize streak virus and maize lethal necrosis diseases in Tanzania

   Flavia Mayo, Ciira Maina, Mvurya Mgala, Neema Mduma · Frontiers/Frontiers in Artificial Intelligence

5. 2024

   Common beans imagery dataset for early detection of bean rust and bean anthracnose diseases

   Hudson Laizer, Neema Mduma, Dina Machuve, Reinfrid Maganga · ScienceDirect/Data in Brief

6. 2023

   Data Synthesis Technique for Categorical Peste des Petits Ruminants (PPR) Data Using CTGAN Model

   Devotha G. Nyambo, Nguse Ngulumbi, Neema Mduma, Ramadhani Sinde, Tumaini Lyimo · IEEE/IEEE Xplore

7. 2023

   Machine learning model for predicting Peste des Petits Ruminants

   Devotha G. Nyambo, Nguse Ngulumbi, Neema Mduma, Ramadhani Sinde, Tumaini Lyimo · IEEE

8. 2023

   An Integrated Deep Learning-based Lane Departure Warning and Blind Spot Detection System: A Case Study for the Kayoola Buses

   Ali Ziryawulawo, Neema Mduma, Martine Lyimo, Adonia Mbarebaki, Richard Madanda, Anael Sam · IEEE

9. 2023

   Data Balancing Techniques for Predicting Student Dropout Using Machine Learning

   Neema Mduma · Frontiers/Frontiers in Artificial Intelligence

10. 2023

    Machine Learning Imagery Dataset for Maize Crop: A Case of Tanzania

    Neema Mduma, Hudson Laizer · ScienceDirect/Data in Brief

11. 2023

    Dataset of banana leaves and stem images for object detection, classification and segmentation: A case of Tanzania

    Neema Mduma, Judith Leo · ScienceDirect/Data in Brief