Publications

IEEE 802.11 networks (aka Wi-Fi) and Artificial Intelligence and Machine Learning (AI/ML) are called to redefine the next generation of wireless unlicensed communications systems.

Using a machine learning process fed by a monitoring of the cumulated chromatic dispersion for all established light-paths, we decrease design margins by identifying the fiber type of all unknown l

Frequency-selective peak-to-average power ratio (PAPR) reduction is essential in networks such as 5G New Radio (NR) that support frequency-domain multiplexing of users and services.

Massive Multiple Input Multiple Output (MIMO) is able to boost the system throughput.

Machine learning (ML)-based receivers are seen as a promising approach to enable accurate detection in multi-user multiple-input multiple-output (MU-MIMO) systems.

In the present day, the evaluation of machine learning (ML) as a candidate for substituting analytical quality of transmission (QoT) estimators is done in a compartmentalized way.

The next industrial revolution dubbed Industry 4.0 that is underway, holds the promise of greater automation and productivity but also introduces new security risks and threats to Industrial Contro

Ultrawide bandwidth optical amplifier designs based on multiple pump wavelengths additionally benefit from gain control per sub-bands, at the cost of an increased configuration complexity.

noindent textbf{Context:} Machine learning software defect prediction is a promising field of software engineering, attracting much attention from the research community; however, its industry appl

Communication is changing to a wireless world. Any wireless communication system needs radio frontends (transceivers) to link higher layer signals to the air interface.