Research in Industrial engineering
Research in industrial engineering at the EUSS comprises the following broad areas: smart grids and the application of new computational and performance engineering concepts to life sciences.
The EUSS participates in different external research groups. In the field of smart grids, we collaborate with the Electronic Power and Control Systems Group (SEPIC) of the Universitat Politècnica de Catalunya (UPC). Research is focused on improving power quality in microgrids, particularly the compensation of voltage unbalances and harmonics with distributed inverters.
There is also a long tradition of collaboration with the UPC Intelligent Sensors and Integrated Systems Group (IS2). IS2 research is oriented towards designing discrete and integral sensors and their intelligent processing using machine learning and other approaches, as well as developing sensor-based instrumentation and measurement systems. The main applications of interest include non-destructive testing, ultrasonic imaging, infrared, food quality measurement sensors, machine learning and bio-inspired systems.
Work is also being done on applying technology to improve people's lives. In this sense, the leading technologies used are positioning, outdoors and indoors, and the use of technological tools to promote healthy behaviour. This line is developed in the eHealthLab group of the Universitat Oberta de Catalunya (UOC).
Finally, the EUSS collaborates with the research group on High-Performance Computing Applications to Science and Engineering (HPCA4SE) of the Universitat Autònoma de Barcelona (UAB), which focuses its research on the application of high-performance computing to different areas of science and engineering, such as bioinformatics and environmental modelling and simulation (weather prediction, prediction of the spread of forest fires, climate change, air quality, etc.). ). These applications have high computational requirements and, in many cases, a data volume that is difficult to manage. In particular, we collaborate in the simulation of agent-based systems.