Samuel Agenorwoth
Doctoral Researcher in Computational Engineering (Applied Mathematics), LUT University. Atmospheric Modelling Centre (AMC-Lahti)
Listening to waves to see inside pipes.
My research interests lie at the intersection of inverse problems, applied mathematics, numerical analysis, and scientific machine learning, with particular emphasis on inverse boundary value problems associated with the one-dimensional wave equation. My doctoral research focuses on uncertainty quantification in pipe imaging, investigating the reconstruction of spatially varying cross-sectional geometries from boundary wave measurements. This involves the development and statistical evaluation of numerical reconstruction techniques, the analysis of their stability and robustness under measurement noise, and the integration of machine-learning approaches into inverse problem methodologies.
In addition, my research extends to mathematical modelling and computational methods in aerosol science within the Atmospheric Modelling Centre (AMC-Lahti). I am currently a doctoral researcher at LUT University, Lahti, Finland, working under the supervision of Assoc. Prof. Emilia Blåsten.
I hold a double Master's degree in Mathematics and Mathematical Engineering from Karlstad University (Sweden) and the University of L'Aquila (Italy), completed in May 2024 through the Erasmus Mundus InterMaths programme. My Master's thesis investigated transport phenomena in fractured porous media, with particular emphasis on coupled adsorption–diffusion–convection processes. The research employed homogenization techniques, dimension reduction, and numerical simulations to analyse mathematical models describing transport in heterogeneous media.
I obtained my Bachelor of Science with Education, majoring in Mathematics and minoring in Chemistry, from Makerere University (Uganda) in 2021.
- Inverse problems
- Wave equations
- Pipe imaging
- Uncertainty quantification
- Neural networks
- Aerosol science
- Homogenization
- Porous media
News
- Oct 2026My paper with Emilia Blåsten is published in Inverse Problems. Read the paper.
- Dec 2026Inverse Days 2026 at the University of Jyväskylä, 14–17 December.Upcoming
- Sep 2026Gave a talk at the International Aerosol Conference (IAC 2026) in Xi’an, China, on Bayesian retrieval of aerosol microphysical parameters from spectral aerosol optical depth, supported by a €3,238 travel grant from the Research Foundation of LUT University.
- Jun 2026Presented “A comparative study of reconstruction algorithms” at the Living the DREAM seminar series in Lappeenranta.
- Feb 2026Invited talk at the Helsinki Inverse Problems Seminar, University of Helsinki, on “Uncertainty quantification for acoustic imaging of pipes: progress report”, invited by Prof. Lauri Oksanen.