About
Nkundimana Joel Gakwaya, PhD
Lecturer, Information Technology, Asia-Pacific International University
Professional introduction
Nkundimana Joel Gakwaya, PhD, is a Lecturer in Information Technology at Asia-Pacific International University in Thailand. Dr. Gakwaya holds a PhD in Computer Science from Karpagam Academy of Higher Education and a Master of Computer Applications from Bharathiar University, both in India, and was previously an Associate Professor in Computer Applications at Lowry Memorial College & Group of Institutions in Bengaluru.
Research centres on big data analytics and machine learning, with a focus on healthcare data: improving data quality through feature selection and predicting disease risk with neural network and ensemble methods. Related interests include artificial neural networks, learning analytics and educational technology.
Dr. Gakwaya teaches and advises students in big data, business intelligence, database design and administration, human-computer interaction, front-end web development and application development, and supervises research with the African Centre of Excellence in Data Science at the University of Rwanda. Academic service includes serving as an Associate Editor of the International Journal of Convergence Research in Engineering, Technology & Management and reviewing for the 10th International Scholars' Conference.
Beyond the classroom, Dr. Gakwaya is the developer of UseWise, an offline-first personal finance application, published as an independent project under the name LectureMee Labs.
Curriculum vitae available on request — email to request a copy.
Academic background
PhD in Computer Science
Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, India
2015 – 2019
Master of Computer Applications (MCA)
Bharathiar University, Coimbatore, Tamil Nadu, India
2013 – 2015
Career history
Lecturer, Information Technology
Asia-Pacific International University, Saraburi, Thailand
2022 – present
Associate Professor, Computer Applications
Lowry Memorial College & Group of Institutions, Bengaluru, Karnataka, India
2018 – 2022
Research and teaching interests
Areas drawn from my ORCID profile.
- Big Data Analytics
- Machine Learning
- Artificial Neural Networks
- Healthcare Data Analytics
- Disease Risk Prediction
- Educational Technology
- Learning Analytics
- Data Science
- Information Technology
Academic service and professional engagement
Associate Editor
International Journal of Convergence Research in Engineering, Technology & Management (IJCRETM)
2025 – present
Research Supervisor
2023 – present
Reviewer
10th International Scholars' Conference (10ISC), Adventist University of the Philippines
2024
Course Lecturer
UNESCO UNITWIN Open CourseWare, Handong Global University
Mar – Jun 2022