Research projects

Embedded Artificial Intelligence (AI) has emerged as a transformative technology with immense potential to revolutionize various domains, spanning from robotics and healthcare to environmental monitoring and the Internet of Things. This Doctoral Network (DN) project ANT aims to train a network of 18 excellent Doctoral Candidates (DCs) by addressing the fundamental challenges of Embedded AI and accelerating the development of Embedded AI systems and applications through an innovative and interdisciplinary research and training program.

6th Sense addresses the fundamental challenges of joint communication and sensing (JCAS) through an innovative and interdisciplinary program. In a concerted effort, the findings of 6thSense will be tailored to key 6G use cases to boost Europe’s position in the global communications market both from a talent and a technological perspective.

6thSense combines and strengthens Europe’s skills and knowledge base through an intersectoral and interdisciplinary program with the following goals:

• building up a highly skilled workforce with an in-depth and hands-on background in JCAS for the telecommunication industry and the related vertical sectors;
• devising innovative solutions for the efficient integration of sensing capabilities in communication systems, considering the relevant trade-offs and asymptotic performance bounds;
• tailoring JCAS for key 6G use cases to boost Europe’s position in the global communications market, and addressing socio-technical and regulatory aspects relevant for the successful adoption of JCAS in future networks.

Extreme environments impair communications, networking, sensing and computing tasks, often requiring energy-intensive countermeasures and hardened or redundant hardware. EMBRACE provides smart solutions that reduce energy consumption via adaptive communication techniques, more effective hardware (including batteryless devices), novel communication systems, and novel antenna/sensor technology tailored to extreme environments, including intra-body and underwater sensors.

EMBRACE’s consortium brings together all the expertise required to design and optimize hardware, coalesce component systems into more complex laboratory prototypes, design communication systems from antennas up to the networking protocols and related applications, access relevant environments for the technology at hand, and evaluate its performance.

EMBRACE promotes a flexible approach, where the evaluation of the proposed solutions takes place through simulations until the system is ready for deployment on site. A selection of systems is then evaluated via field measurements in challenging environments, according to the requirements of the cascade call. The partners evenly represent Italy, with the participation of one small-sized company.

The project focuses on next-generation mobility services, in particular by considering Mobility-as-a-Service enhanced by means of cooperative driving. Our final goal, which goes beyond SELF4COOP, is the reduction of traffic congestion and road-related accidents, which costs in the EU amount to 1% and 3% of the GDP, respectively. In our vision, cooperative autonomous vehicles (CAVs) will become an integrated system, realizing complex intelligent driving applications. This will minimize the environmental footprint of the vehicles, streamline the use of CAVs by multiple users and reducing the need for private vehicle ownership.

Realizing the above vision will require some fundamental building blocks which we will develop throughout SELF4COOP, which include the realization of advanced cooperative driving maneuvers, where intelligent systems gather data both from vehicles and from the infrastructure, and instruct CAVs to implement optimal actions. In turn, this will require to seamlessly blend different communication technologies, exploit Multi-access Edge Computing (MEC) resources flexibly and adaptively, and develop robust optimization and control techniques.

The potential of mmWave technology (30 GHz to 300 GHz) for future mobile networks led to significant research investments, and motivated the European Commission to recommend opening up parts of the mmWave spectrum for broadband services.

In this MSCA European training network, we train 15 doctoral students in different aspects of mmWave communications, networking, sensing, and applications, with the objective to create a cohort of experts in mmWave technology for the academia and industry.

Underwater acoustic communications (UWAC) is increasingly perceived as a cost-effective ocean exploration and monitoring means. However, while carrying out these tasks, UWAC devices are left unattended over long periods of time and may become vulnerable to external attacks. The recent introduction of standards protocols for UWAC makes these attacks more viable.

In SAFE-UComm, we explore new ways to secure UWAC against attackers. Our solutions eliminate the need to change existing modems or include encryption systems, and rather provide a protective layer that can be added to any modem, offering a practical solution to underwater cybersecurity.

The aim of SECEDA is the small-scale, real-world development and testing of cooperative driving maneuvers and vehicular communication protocols through a cooperative driving fleet composed of model cars. SECEDA will work the development and the testing of new Multi-access Edge Computing (MEC)-based remote control. This idea exploits MEC cloud computing to bring the control of the vehicles to the edge, bringing great adaptation potentials to variable road traffic and communication conditions. The testbed will also pave the road to other research studies, spanning from collective data sensing and distributed embedded machine learning.

The aim of the project is to continue the cooperation between Dr. Segata and Electrolux, in particular by working on the classification of IoT devices.

SYMBIOSIS provided a mature, cost effective autonomous opto-acoustic prototype for the characterization, classification, and biomass evaluation of six target pelagic fish that are important to the fishery industry and that reflect on the health of the environment. SYMBIOSIS is devised as a blend of acoustic and optical components, including an active underwater acoustic array, optical cameras and strobes, control electronics, embedded processing, and batteries.

With the increase of marine activity, protecting marine infrastructures from terrorist threats has become a main concern. We propose to develop and demonstrate a novel prototype for reliable, real-time detection of diver and mines. Our system combines acoustic remote detection with verification using pattern recognition on underwater imagery. First, we analyse the acoustic reflections to localize a target that fits the pattern of a diver or a submerged mine. Then, in case the release or presence of a mine is suspected, a vehicle is dispatched to first inspect the target through its optical and sonar systems, and then to send the processed information back through underwater acoustic communication.

RECAP is a Horizon2020 project that provides novel methodologies, tools and an enabling workflow for automated infrastructure deployment, monitoring, and analytics that result in lower costs and better quality of service.