Research groups
EMSME (Department of ElectroMechanical, Systems and Metal Engineering) is organized in 5 groups, each headed by permanent staff members, and further consisting of various categories of researchers and students.
Energy & Systems Lab (EnSy)
The EnSy research group is active in various fields of electrical energy, energy & power systems, renewable energy, system modelling, machine control, optimal control, electromechanical drive trains, mechatronics and industrial robotics.
Mechanical Constructions (Soete Laboratory)
Soete Laboratory is one of the top research institutes of Ghent University. The laboratory is indulged in research on Fracture, Fatigue and Tribology and provides service to universities and industries worldwide.
Dynamical Systems and Control (DySC)
The group on Dynamical Systems and Control (DySC) delivers qualitative results in characterizing, analyzing and improving performance and outcome under specified conditions in all dynamical systems. DySC offers a multitude of software tools, methodologies and mathematical/analytical procedures to be tailored upon a variety of applications. The portfolio ranges from (non)linear dynamical processes with time varying conditions, constrained specifications, robustness, stability and energy efficiency.
Materials Science and Technology (MST)
The Materials Science and Technology group performs fundamental and applied research into the key areas of materials science: characterization and modeling of mechanical material behavior, physical materials science, molecular modeling of metal properties and processing, microstructural observation from nano to macro scale and metal technology.
Sustainable Thermo-Fluid Energy Systems (STFES)
The research group Sustainable Thermo-Fluid Energy Systems (STFES) has expertise on machines and systems where heat and flow are the main energy carriers. The research lines are focused on fluid mechanics, fluid-structure interaction, mass and heat transfer, thermal cycles and thermal machines. Both experimental and numerical techniques are used for the analysis, design and optimization of these systems, resulting in a unique position in the field.