Computational Engineering

Computational Engineering research application fields

Applied Mathematics

One of the core research areas at the department of Computational and Process Engineering is applied mathematics. We have a worldwide unique concentration of expertise on uncertainty quantification and inverse problems. More specifically, our methodological research includes problem areas such as non-parametric or parametric statistical inverse problems, hierarchical models, MCMC, optimization, stochastic (partial) differential equations and chaotic systems. We drive towards interdisciplinary science: we collaborate with large-scale interdisciplinary research infrastructures (satellite missions, European Southern Observatory, European Incoherent Scatter Radar EISCAT3D), research institutes and several industrial and financial companies. Our team is part of the Centre of Excellence in Inverse Modelling and Imaging granted by the Academy of Finland.

Research group on Uncertainty Quantification and Inverse Problems

Computer Vision and Pattern Recognition (CVPRL)

LUT Computer Vision and Pattern Recognition Laboratory (CVPRL) educates computer vision and pattern recognition experts and develops computationally intelligent information processing methods. The goal is to engineer useful and significant value-added applications, especially using digital image processing and analysis. For example, our research is focuses on machine vision systems for process industry, and medical image analysis for the efficient healthcare of eye diseases.

Our main objective is to carry out high quality research on computer/machine vision and modelling, machine learning, and pattern recognition. The laboratory also serves industry as an expert organization, performs applied research and educates experts in its research fields. In the education, LUT CVPRL offers the Computer Vision and Pattern Recognition major subject in the Degree Program in Computational Engineering (bachelor, master and doctoral studies).

Our research interests include visual inspection, computer/machine vision, medical image analysis and colour science, focusing on object detection and recognition, industrial machine vision, retinal image analysis, spectral image analysis. LUT CVPRL has been selected several times as an LUT Center of Excellence in Research and is associated with Academy of Finland's Center of Excellence in Research in Inverse Mathematics.

Computer Vision and Pattern Recognition Laboratory

Contact us

Professor Lasse Lensu
+358 40 759 1720
lasse.lensu@lut.fi