Industrial and Manufacturing Engineering
Statistics and Probability
Modelling and Simulation
Control and Optimization
Teaching engineering mathematics at the LUT School of Energy Systems and researching industrial digitalization.
Increasing the efficiency of machining, especially turning, by applying A.I. and expert systems technology into adaptive turning control. The objective is an intelligent machining system capable of emulating the behaviour of a human machinist. Instead of maintaining constant cutting conditions or logging raw physical data (e.g. cutting force magnitude), such a machining system is able to optimize cutting parameters on the fly, giving human-understandable information of the cutting process or training a less experienced human machinist. This will potentially make manufacturing less dependent on (cheap) human labour and instead make manufacturing preferable in countries with cheap energy closer to markets (e.g. Finland).
An adaptive fuzzy control system to maximize rough turning productivity and avoid the onset of instability|