The research field focuses on computational sciences with applications in the modelling and simulation of industrial processes, as well as on basic research in physics, applied mathematics, and computer science and engineering.
LUT is part of the Centre of Excellence in Inverse Modelling and Imaging of the Academy of Finland. The research on inverse problems focuses on data-driven problems: to what extent given measurements are able to identify a simulation model. In this field, our speciality is to study the Uncertainty Quantification of modelling results, with athmospheric phenomena and weather prediction as primary application examples. However, our research is generic and provides natural collaboration within the School of Engineering Science, with other schools, as well as with companies. Our startup companies work with remote sensing, industrial tomography and application of machine vision.
The core methodologies used in the research include Markov chain sampling methods, but also Computational Fluid Dynamics (CFD), shape optimisation and multi-objective decision-making. Moreover, studies on soft computing and data analysis are an emerging new field in this research field.
The research in the computational modelling of materials focuses on first principles and multi-scale modelling. These methods provide approaches for analysing complex surface structures. Another important application of the first principles calculations is the study of chemical reactions on surfaces.
The machine vision and pattern recognition research group focuses on research related to imaging measurements, image processing and analysis, computationally intelligent methods for modelling and pattern recognition, and solution development for machine vision applications. The group has expertise on industrial applications and medical image processing, and it collaborates strongly with companies.
Professor Lasse Lensu
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