Research Groups

Brief description of the purpose and objectives of the Research Laboratory

The Telecommunications, Signal Processing and Intelligent Systems Research Laboratory (TelSiP) was established on April 3, 2015 (Official Government Gazette 515/B/03-04-2015) and re-established on March 1, 2019 (Official Government Gazette 695/Β/01-03-2019) under the Greek Law. This Research Laboratory consists of the following 3 Research Groups:


Group 1: Design and Development of Electronics, Embedded, Telecommunication Systems and RF Applications

This group covers the research and education needs in the following thematic areas:

• Design of Electronic Systems, Telecommunication Electronics and High Frequency (RF) Electronics.

• Design and Development of Broadband Communication Systems.

• Design and development of Optical Communications Systems and Radio over Fiber Systems.

• Design of Embedded Systems with Microcontrollers (μC), Digital Signal Processors (DSPs) and FPGAs.

• System-level design for modern telecommunication standards.

• Specialized measurements in modern telecommunication network standards.

• Technological infrastructure development and Remote Laboratory platforms.

• Microwave Subsystems, Antennas and RFIDs.

• Algorithms of telecommunication networks and systems.

• Stochastic modeling and simulation of telecommunication systems.

• Network Applications

Signal Processing

Group 2: Signal and Image Processing

This group covers the research and training needs in the following thematic areas:

• Digital Signal Processing, Detection and Estimation Theory.

• Adaptive algorithms.

• Image processing and computational vision algorithms.

• Speech processing.

• Biometric signal and image analysis.

• Forensic analysis based on biometric features.

• Standards recognition and applications.

• Data Compression.

• Image and video compression – International standards.

• Data fusion.

Intelligent Systems

Group 3: Computational Intelligence and Informatics

This group covers the research and training needs in the following thematic areas:

• Internet of Things.

• Cloud Computing.

• Computational Intelligence (neural networks, fuzzy logic, evolutionary algorithms).

• Machine Learning.

• Intelligent control.

• Design of Modern Computational Arrangements.

• Optimization.

• Mathematical modeling and simulation of systems.