Digital information sources are growing tremendously. 'Big Data' sets which are too large or too complex cannot be efficiently handled by traditional information management systems. More and more organizations nowadays put large efforts in efficiently collecting, organizing and managing their data. DDCM research aims to support these efforts by investigating and developing new technologies for coping with the many challenges that stem from 'Big Data' and from the natural heterogeneous and imperfect/uncertain character of information.
The topics studied in the DIGCOM research group are: Modulation/Demodulation, Coding/Decoding, Carrier and Clock Synchronisation, and Equalization.
GAIM’s research is at the intersection of machine learning, signal processing and information theory. We are developing algorithms for representation learning, deep learning and sparse coding for pattern recognition and classification, analysis of high-dimensional signals and information recovery from partial and corrupted data. We are also studying inference in generic probabilistic graphical models and reasoning under uncertainty. The application areas of our research include machine vision, biomedical processing, remote sensing and art investigation.
Within the IPI research group the following topics are being studied: Watershed Based Segmentation, Content Based Image Retrieval, Edges and Line Detection, Model-Based Image Interpretation, Motion Estimation and Motion-Based Segmentation, Scale Space, Stereo Vision, Texture segmentation, Image processing techniques for the detection of buried landmines, Techniques for restoration and quantitative image analysis of medical ultrasound images, Compression of medical images and video.
The main applications of the work done by this group are situated in the performance assessment of digital communication systems and networks. The research activities of the SMACS Research Group can be more or less divided in two parts. The major topic is the statistical analysis of buffers for the storage of digital information, by means of discrete-time queueing models. The second (minor) topic is the design, analysis and optimization of ARQ retransmission protocols.
Before entering the building, please take some time to read the following safety guide:
Department of Telecommunications and Information Processing
St-Pietersnieuwstraat 41, B-9000 Gent, Belgium
tel: +32 9 264 34 12
Head of the department: prof.dr.ir. Joris Walraevens
If you're coming by car, follow your GPS route to Kantienberg and take entrance T3 on the Voetweg.
At the intersection Plateaustraat and St-Pietersnieuwstraat there is a open square. At the right and back of this square, there is a stairwell (and an elevator) going down. Follow the staircase all the way to the bottom. When exiting the stairwell you will see the TELIN building at your front-left (3 floors). Go straight until you reach a smaller stairwell (outside, not in any building), and go down again (one floor) to reach the river. The entrance T3 is on your left.
Lammerstraat use the metal stairs to go down to the river. Walk for 5 minutes, always straight ahead, passing a parking lot and one side road, until you reach the building with the sliding doors.
Hoveniersberg which goes down and leads to the Voetweg. Just follow the street to the entrance T3 on your left.