The Mechanical Engineering Technology Cluster groups research and service-to-society in the field of Mechanical Engineering at the different engineering Technology Campuses of KU Leuven.
DMMS-M Flanders Make
The Flanders MakeDMMS core lab consistsof two research teams of the KU LeuvenDepartment of Mechanical Engineering, being the Noise and Vibration Research Group and the MECO research group. Together, thesegroups have a longstanding history and are internationally highly recognizedexperts in the fields of:
· Mechatronicanalysis and design;
Lab4U performs research on the development of new technologies and their implementation in existing (bio) chemical processes aiming a transformation from batch to flow. The research group focuses on characterization, development and control of chemical reactors and separation units. Keywords include ultrasound and alternative energy, process intensification, green chemicals, milli-flow reactors, separation processes and inline process ...
Laboratory of Auditory Neurophysiology KU Leuven
Laboratory of Auditory Neurophysiology is part of the research group Neurophysiology. Particular topics of present interest are animate and inanimate object processing, action processing, 3D shape processing, visual control of grasping, perceptual learning, categorization and modulations of visual cortical responses by attention and reward. At the technical level, the group investigates the relationship between neural activity and fMRI ...
ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics KU Leuven
The Stadius Center for Dynamical Systems, Signal Processing, and Data Analytics (STADIUS) is an academic research center, with a research focus on mathematical engineer- ing, where mathematical tools from numerical linear and multi-linear algebra, statistics and optimization are used for applications of dynamical systems and control, signal processing, data modeling and analytics. STADIUS offers recognized expertise in diverse application ...
Electricity Vrije Universiteit Brussel
The research in the department ELEC is structured around three main topics: 1. Set-up of computer controlled measurement systems, design of new intelligent instruments, processing of the measured data and the implementation of A.I. techniques in instruments for the automatic interpretation of the acquired measurements, with a lot of applications in earth science. The research in telecommunication deals with voice coded transmissions ...
Audio Visual Signal Processing Vrije Universiteit Brussel
Nowadays, audio-visual scene analysis becomes more and more important in many areas. A typical application regards teleconferencing systems for enhanced multimodal communication, or to steer electronically the camera to the active speaker without a human operator. But also in surveillance systems the audio-visual perception is of great interest for intruder detection, behaviour and event analysis, etc ... A further example affects the ...
Informatics and Telecommunication Vrije Universiteit Brussel
As a result of the different backgrounds of the members of the team, significant know-how is available in the fields of computer networks, artificial intelligence, parallel and distributed systems, management information systems and databases. 1. The digital TELEcommunications research group has been and is still involved in several R&D contracts with telecommunications equipment manufacturers. Most of them are centred on the introduction ...
Ansymo/Cosys Flanders Make
The Flanders Make AnSyMo/CoSys core lab has three researchpriorities:
1. Design andTesting for Cyber-Physical Systems: ensure that autonomously operating machines adhere to the appropriatesafety standards, focused on methods and tools for a cost-effective designprocess (profs. De Meulenaere, Denil, De Meyer, Vangheluwe)
2. Adaptive,Optimal Embedded Control: boost controlefficiency by integrating the use of available system ...
Data Science Institute Hasselt University
- scalable data management and wrangling
- domain knowledge analysis
- data modelling, machine learning and statistics
- data exploration - design innovation