The Digital Image and Signal Processing Laboratory (DISPLAY, www.display.tuc.gr) is engaged in research on signal/image processing, analysis and data mining with applications in imaging systems, integrated automation and biomedical data analysis. Indicative research interests include applications of non-invasive body/brain disease diagnostics including time-varying functional connectivity networks, machine and deep learning systems, image registration and segmentation, geometric models of growth, interaction and exploratory analysis of biological and biomolecular signals, and video surveillance for monitoring and early detection. Particular expertise is expressed in approaches to stochastic pattern recognition, feature extraction by using graph theory, network estimation models and data fusion, with concepts of data transformation and stabilization to ensure normalization and generalization of machine and deep learning algorithms.

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