Telecommunications engineering is a discipline that concerns the transmission of information from one point to another, whatever the source of information is, high-resolution images of a distant planet, or large videos on-demand flying across the next-generation Internet. This brings together all of the elements of computer engineering and system engineering, to create and improve communication systems. In particular, it concerns with all aspects of theory and applications for a broad range of systems such as mobile phones and data networks, radio and TV, satellites, deep space applications and remote sensing of the environment.

Telecommunications engineers design, develop and maintain all aspects of communications systems, which include fiber, satellite, wired and wireless, as well as the encoding, encryption and compression of speech, audio and video signals. Put simply, telecommunications engineering can be found in just about every aspect of our lives, from radar systems to the Internet. This field is developing very rapidly and the demand for Telecommunications engineers is evolving as the technology advances and broadens its scope of applications. A relevant role in Telecommunications engineering is covered by signal processing, the discipline that concerns the analysis, synthesis, and modification of signals, which are broadly defined as functions conveying, "information about the behavior or attributes of some phenomenon", such as sound and images. For example, signal processing techniques are used to improve signal transmission fidelity, storage efficiency, and subjective quality, and to emphasize or detect components of interest in a measured signal.  Briefly speaking, signal processing has the scope to enhance our ability to communicate and share information.

The three main areas of research related to Telecommunications engineering that are present at the DII are: Digital Communications, Communication Networks, and Radar and Remote Sensing.

The research activity in the area of Digital Communications concerns the analysis and design of algorithms and architectures for transmission of information in terrestrial and satellite applications, with particular concern on issues concerning wireless systems of current and future generation networks. The topics treated include adaptive modulation and coding, decoding, techniques for communication in non-ideal channels (equalization), resource allocation in multi-antenna systems, cross-layer optimization, antenna array processing, massive MIMO networks and Global Navigation Satellite System issues.

The research activity in the area of Telecommunication Networks concerns: 1) the design of techniques for traffic and congestion control in wireless, satellite and wired networks; 2) the study of optimization algorithms for energy efficiency and quality of service guarantee in Software Defined Networks and Network Function Virtualization architectures; 3) the definition of strategies for the coordination and the optimization of network resources in 5G systems with different objectives (e.g., cost reduction, security, quality of service, energy efficiency, etc.); 4) traffic classification and deep packet inspection in high speed networks; 5) anomaly detection in IP-based services; 6) quality of service and security issues in the Internet of Things and the big data frameworks.

The research activity in the area of Radar and Remote Sensing concerns the design and performance analysis of radar and remote sensing systems, with particular attention to the problems of noise modelling and filtering, target detection, tracking and classification for radar and hyperspectral data, changes detection in multi-temporal images, image and data fusion, cognitive radar, passive radar, MIMO radar, radar imaging, radar interferometry, information extraction from images acquired by optical sensors operating in the visible and the infra-red spectral ranges, computer vision algorithms for detection and classification of video sequences and/or data acquired by airborne and satellite imaging sensors.