Research lines

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Digital signal processing & Machine Learning
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Communication's Systems Modeling
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Optical comunications

About GITA

The research group on applied telecommunications (GITA) was established with the aim of generating impact in the Telecommunication’s field, mainly focused on the following lines of research: Optical communications, Communications’ Systems Modeling, and Pattern Analysis and Digital Signal Processing.




A1 research group recognized by COLCIENCIAS

Pattern Analysis and Signal Processing

We do several kinds of analyses of bio-signals (mainly speech, gait, and handwriting) collected from patients with neurodegenerative disorders like Parkinson’s, Alzheimer’s, and Huntington’s. Our main aim is to develop cutting edge technology for the automatic detection and unobtrusive monitoring of people suffering from neurodegenerative diseases. Besides neurodegeneration, there are different topics we are cur- rently addressing or hope to address in the near future including speaker verification, mobile computing, machine learning, and data analytics.

Communication's Systems Modeling

The communication's systems modeling research line is focused on the planning, dimensioning, management and theoretical analyses of communication networks. The research line works with both wireless and wired network environments. Also, the line is focused on the study of emerging architectures for the Future Internet and studies the technology enablers for such architectures.

Optical communications

Our key research areas involve Optical Fiber Technologies- and High-Speed Networking. Our experience is related to optical wavelength domain transport and access networks, sources and receivers including DSP techniques, elastic optical networks, optical linear and non-linear distortions, polarization/PMD treatment, network quality monitoring, spatial complex modulations, and materials for optimizing photonic devices.


Grupo de Neurociencias de Antioquia
Pattern Recognition Lab. University of Erlangen-Nuremberg
Machine Learning and Data Analytics (MaD) Laboratory - University of Erlangen-Nuremberg
Computational Biology Center -  IBM