Intelligence
Recent progress in the area of Machine Learning, AI and Optimization enables intelligent decisions to be made that e.g. improve the quality of the production processes and the final product, the prediction of system properties (such as sales forecasting or power generation), the prediction of machine downtime (predictive maintenance), among others.
The focus area “Intelligence” addresses research that is required in order to engineer AI algorithms for a given use case (e.g. in the area of forest-based bio economy, manufacturing and metal processing, energy systems), develop and engineer data analytic tool chains and pipelines, optimise processes using AI-based methods or mathematical algorithms, building digital twins for simulating process parameters and their impact on final product quality, ensuring zero-defect manufacturing by AI and edge compute to make sure that AI algorithms are engineered in a way that are trustworthy and have the properties that AI engineers desire.
Technical experts
AI Engineering, Machine Learning, Data Analytics, Optimization
Ivan Zhirnov, postdoc, Karlstad University
Matthias Beckerle, senior lecturer, Karlstad University
Leo de Vin, Professor, Karlstad University
Jonas Berghel, Professor, Karlstad University
Markus Rinio, Professor, Karlstad University
Jens Bergström, Professor, Karlstad University
Marcus Berg, Professor, Karlstad University
Magnus Lestelius, Professor, Karlstad University
Agne Swerin, Professor, Karlstad University
Application of AI to Communication Networks and Protocols
Anna Brunström, Professor, Karlstad University
Software Testing and Quality assurance of machine learning and data-driven (IoT) systems
Bestoun S Ahmed Beywanee, Senior lecturer, Karlstad University
Image processing and classification, UAV, remote sensing, digital twin, 3-D-models and visualisation, network analysis, geodata mining, spatial databases and strutctures, GIS algorithms
Jan Haas, Senior lecturer, Karlstad University
Smart Renewable Energy Microgrids, Energy Management and AI in Electrical Systems
Andreas Theocharis, Senior lecturer, Karlstad University
Statistical signal processing, System identification and automatic control
Magnus Mossberg, Senior lecturer, Karlstad University
Laser assisted AM, new alloys and structure-properties-performance relation in AM, process and product quality assessment, process monitoring in additive manufacturing and implementation of AI in production chain for zero-waste green manufacturing
Pavel Krakhmalev, Professor, Karlstad University
Communication Networks, Edge/Cloud, IoT and Machine Learning
Andreas Kassler, Professor, Karlstad University
Computational design optimization methods , mathematical modeling, optimization, and methods development
Eddie Wadbro, Professor, Karlstad University
Digitalized Methods for Process and Quality Control of Pharmaceuticals
Torgny Fornstedt, Professor, Karlstad University
Robotics and automation in application to energy, environment and steel industry
Jorge Solis, Associate professor, Karlstad University