Computational Engineering and Physics
The role of modelling and simulation is steadily increasing as an integral tool of industrial product development. The ongoing revolution of data and digitalization is expanding this trend outside the traditional engineering sciences to all aspects of the society. A successful research in this field requires thorough knowledge in the underlying sciences, mathematics, data mining, physics as well as programming.
Areas of research at the Computational Engineering and Physics include applied mathematics, machine vision and pattern recognition, various topics of material and computational physics as well as optics. We develop algorithms for data-driven problems, with applications in industry, business analytics, remote sensing and large-scale data-assimilation problems.
Our competence areas are:
- Mathematics, with research groups focusing on inverse problems, computational modelling of materials, time series research, fuzzy logic and soft computing, and computational fluid dynamics
- Physics, focusing on magnetic semiconductors, superconductors, modern laser spectroscopy analysis methods, semiconductor detectors in co-operation with CERN and Atomic Force Microscopy measurements
- Machine Vision and Pattern Recognition, in which the research group develops intelligent computing methods with applications in, e.g. paper industry and medicine
LUT School of Engineering Science
P.O. Box 20
FI-53851 Lappeenranta, Finland
Head of Academic Unit
+358 40 596 1999
Deputy Head of Academic Unit
+ 358 40 557 0918