Dr.KAYIJUKA Idrissa

Academic rank: 
Academic Leadership Position: 
Head of Department Applied Statistics Department
Email: 
i.kayijuka@ur.ac.rw
Telephone: 
+250788665069
School/centre: 
Department: 
Published Papers : 
• Clenshaw–Curtis algorithms for an efficient numerical approximation of singular and highly oscillatory Fourier transform integrals,  (285) March 2021, 113201. https://doi.org/10.1016/j.cam.2020.113201
Journal: Journal of Computational and Applied Mathematics (SCI)
• Application of the Cauchy integral approach to Singular and Highly Oscillatory Integrals, Feb 2021. https://doi.org/10.1080/00207160.2021.1876228 
Journal: International Journal of Computer Mathematics (SCIE)
• Fast Gauss-related quadrature for highly oscillatory integrals with logarithm and Cauchy-logarithmic type singularities, Vol. 18 Issue 4, p442-457, 2021
Journal: International Journal of Numerical Analysis & Modeling (IJNAM) (SCIE)
• Fast Approximation of Algebraic and Logarithmic Hypersingular Type Singular Integrals with Highly Oscillatory Kernel, 18(6)(2020), 965-980. https://doi.org/10.28924/2291-8639
Journal: International Journal of Analysis and Applications (ESCI)
• An Efficient Algorithm for Evaluation of Oscillatory Integrals Having Cauchy and Jacobi Type Singularity Kernels, 40(2022), No: 1-2, pp:267-281. https://doi.org/10.14317/jami.2022.267
               Journal: Journal of Applied Mathematics and Informatics (ESCI)
• Solving system of conformable fractional differential equation by conformable double Laplace decomposition method, 33 (2020) 275-290, 2020. https://doi.org/10.4208/jpde.v33.n3.7
Journal: Journal of Partial Differential Equations (ESCI)
• Computational efficiency of Singular and Oscillatory Integrals with algebraic singularities, 25(5) 285-302, 2018.  https://www.ikprress.org/index.php/AJOMCOR/article/view/4194
Journal: Asian Journal of Mathematics and Computer Research (EBSCohost)
• Gauss-related Quadrature rule for Highly Oscillatory Singular Integrals having Hypersingular type Singularity, 4th International Students Science Congress, 18-19 September 2020, Izmir-Turkey,
https://sciencecon.org/wp-content/uploads/2020/10/4th_ISSC-Abstract-Book....
• Optoelectronic Characteristics of rr-P3HT: PC61BM-based Organic Solar Cells, 32(7) 2399-2408, 2020. https://doi.org/10.18494/SAM.2020.2807
Journal: Sensors and Materials (SCIE)
• Comparison of Tree-based Machine Learning Algorithms to predict Reporting Behavior of Electronic Billing Machines, 14(3) 140, 2023. https://doi.org/10.3390/info14030140
Journal: Information (ESCI)
• Neural Networks and ARMA-GARCH models for foreign exchange risk measurement and assessment, Vol. 12, 2024-Issue 1. https://doi.org/10.1080/23322039.2024.2423258
Journal: Cogent Economics & Finance (ESCI)
Brief profile: 
Idrissa Kayijuka holds a PhD in Applied Mathematics from Ege University, Department of Mathematics, School of Natural and Applied Sciences. He is currently a lecturer and Director of Teaching and Learning Enhancement (DTLE) at the University of Rwanda, College of Business and Economics. His research areas include, but are not limited to, Computational Mathematics, Data Science, Computer Science, and Applied Statistics.
Research Area: 
Applied Mathematics; Data Science; Applied Statistics; Computer Science Research ID number (ORCID):0000-0002-3175-5081