Nkundimana Joel Gakwaya, PhD

Research. Teach. Innovate.

Exploring big data, analytics, computing education, and practical technology solutions.

My work connects research, university teaching, applied computing, and technology innovation, turning complex data into clear insight and practical systems.

Lecturer, Information Technology, Asia-Pacific International University

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Expertise

Where research meets practice

Big Data and Analytics

Collecting, processing and analysing large datasets to extract reliable insight.

Business Intelligence

Turning organisational data into dashboards and decision support.

Database Design and Administration

Modelling, building and operating dependable data stores.

Human-Computer Interaction

Designing usable, accessible interfaces for data-driven tools.

Front-End and Application Development

Building responsive web and application software.

Teaching, Research and Project Advising

Guiding students from problem formulation to communicated findings.

Selected research

Recent publications

PublishedJournal articleHealthcare Data Analytics

From Imperfect to Perfect: Using Feature Selection to Enhance Healthcare Data Quality

Gakwaya, N. J., Kirilov, S. K., Bhargavi, K. V. N. A., Kumar, P. K.

Journal of Data Acquisition and Processing, 2023

PublishedBook chapterHealthcare Data Analytics

Contagious Diseases Prediction in Healthcare Over Big Data

Gakwaya, N. J., Priya, S. M.

Lecture Notes on Data Engineering and Communications Technologies, 2020

DOI: 10.1007/978-3-030-24643-3_14

PublishedJournal articleDisease Risk Prediction

Improved Ant Colony on Feature Selection and Weighted Ensemble to Neural Network Based Multimodal Disease Risk Prediction (WENN-MDRP) Classifier for Disease Prediction Over Big Data

Gakwaya, N. J., Priya, S. M.

International Journal of Engineering & Technology, 2018

DOI: 10.14419/ijet.v7i3.27.17654

All research and publications →

Projects

Featured work

Application Development

UseWise

An offline-first personal and household money planner for Android: pockets, income plans, goals, households and optional sync.

Big Data

WENN-MDRP: Multimodal Disease Risk Prediction

Research on a weighted ensemble neural network classifier, with improved ant colony feature selection, for disease risk prediction over big data.

Featured innovation

UseWise: Understand where your money goes.

UseWise is an offline-first personal and household money planner, built around one idea: every amount of money has a source, a place, a purpose and a history.

UseWise lets people record money in and out, organise it into pockets and places, plan how income is split, and see where it stands, with records kept on the phone and syncing only if the user chooses.

Status: In development · Android

Learn about UseWise

Teaching and mentorship

Connecting theory with practical learning

I teach and advise in big data, business intelligence, HCI, databases and application development, and supervise research at graduate level.

Teaching and advising →

Collaboration

Let’s work together

I welcome conversations about research collaboration, academic discussion, student project advising, conference speaking and technology partnerships.

Get in touch Email developer@lecturemee.com