Contact Details:
Department of Mathematics,
School of Natural Sciences, MMUST
P. O. Box 190 – 50100,
Kakamega - Kenya.
Office no. SPD 302
Kakamega-Webuye Road
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
ORCID: https://orcid.org/0000-0002-6958-2817
ResearcherID: AAT-1871-2021
Google Scholar: 5GS1IhUAAAAJ
Dr. Angwenyi is a holder of doctoral degree in Numerical Analysis from University of Potsdam, Germany. He has attended a number of international conferences on Numerical Analysis. He has been teaching Applied Mathematics courses at university level since 2013. Dr. Angwenyi is also actively involved in research on Data Assimilation and Machine Learning. He also supervises both postgraduate and undergraduate students in their research projects.
Some of his key published works include:
- Wilberforce Ndarawit, Charles Otieno Ochieng, David Angwenyi, Jorddy N. Cruz,Cleydson B. R. Santos, Njogu M. Kimani. Discovery of α-amylase and α-glucosidase dual inhibitors from NPASS database for management of Type 2 Diabetes Mellitus: A chemoinformatic approach. Published on 14t November 2024 in Plos One. DOI: https://doi.org/10.1371/journal.pone.0313758
- Kevin Midenyo,David Angwenyi, Duncan Oganga. Second Order Extended Ensemble Filter for Non-linear Filtering.Published on 25th October 2024 in African Journal of Empirical Research. DOI: https://doi.org/10.51867/ajernet.mathematics.5.4.25
- David Angwenyi, Estimation of Spatially Varying Parameters with Application to Hyperbolic SPDES. Published on 10th January 2023 in Journal of Applied Mathematics. DOI:https://doi.org/10.1155/2023/7909668
- Harrison Onyango ,Patrick Odhiambo ,David Angwenyi,and Patrick Okoth. In Silico Identification of New Anti-SARS-CoV-2 Main Protease (Mpro) Molecules with Pharmacokinetic Properties from Natural Sources Using Molecular Dynamics (MD) Simulations and Hierarchical Virtual Screening. Published on 1oth October 2022 in Journal of Tropical Medicine.DOI: https://doi.org/10.1155/2022/3697498
- David Angwenyi. Feedback Particle Filter With Stochastically Perturbed Innovation And Its Application to Dual Estimation.published in November 2022. Preprints arXiv:2107.08381 DOI: https://doi.org/10.48550/arXiv.2107.08381
- Ronald Mwesigwa, GodwinKakuba and David Angwenyi (2020), The Fundamental Solution of the One–Dimensional Elliptic Operator and its Application to Solving the Advection–Diffusion Equation, Journal of Applied and Computational Mathematics, Volume 9:1, 2020, DOI: 10.37421/jacm.2020.9.458.
- Angwenyi David (2019), Time-Continuous State and Parameter Estimation with Application to Hyperbolic SPDEs, Doctoral thesis, Universität Potsdam, DOI: http://doi.org/10.25932/publishup-43654
- Rachel A. Nyang'inja, David N. Angwenyi, Cecilia M. Musyoka and Titus O. Orwa (2018), Mathematical Modelling of the Effects of Public Health Education on Tungiasis—a Neglected Disease with many Challenges in Endemic Communities, Advances in Differential Equations, https://doi.org/10.1186/s13662-018-1875-5
- Angwenyi, D., de Wiljes, J. and Reich, S. (2017), Interacting Particle Filters for Simultaneous State and Parameter Estimation, arXiv: 1709.09199v1
- Angwenyi, D., Lawi, G., Ojiema, M. and Owino, M. (2014) On the Computationally Efficient Numerical Solution to the Helmholtz Equation, International Mathematics Forum, Vol. 9, no. 6, 259 – 266 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/imf.2014.311224