C. Bua, F. Fiorini, D. Adami, S. Giordano: “Cloud-Trained Neural Networks on Microcontrollers for IoT Applications: an Educational Perspective with LittleBits”, IEEE Symposium on Computers and Communications (ISCC), July 2025.

The integration of machine learning on microcontrollers at the extreme edge of the network is gaining significance for various Internet of Things applications. This paradigm shift enables real-time data processing and decisionmaking directly on the...

F. Fiorini, R. G. Garroppo, M. Pagano, "Quantum Repeaters to Extend the Communication Range: Present and Future Perspectives", IEEE Communications Magazine 2025

Long-distance quantum communication faces significant challenges due to photon loss and operational errors in fiber optic channels. Quantum repeaters (QRs) offer a promising solution by extending the communication range and enabling secure exchange of...

F. Perrone, L. Lemmi, C. Puliafito, A. Virdis and E. Mingozzi, "A Computing-Aware Framework for Dynamic Traffic Steering in the Edge-Cloud Computing Continuum," 2025 34th International Conference on Computer Communications and Networks (ICCCN)

The rise of technologies like AI and IoT has increased the need for high-performance, low-latency computing. Edge computing addresses this by extending cloud resources closer to client applications. Effective workload distribution across this...

Mystkowska, G., Monopoli, M., Nannipieri, P., Zulberti, L., Codinachs, D. M., & Fanucci, L. (2025). Hardware Platforms Enabling Edge AI for Space Applications: A Critical Review. IEEE Access, vol. 13, pp. 143939-143956.

Abstract: Artificial Intelligence is an emerging technology in the space industry as it enables real-time data processing and autonomous navigation. We aim to facilitate mission development by providing an extensive state-of-the-art review. We analyze...

Monopoli, M., Biondi, M., Moranti, S., Nannipieri, P., & Fanucci, L. (2025). Toward Reliable Onboard AI in Space: A Fault-Tolerant Soft GPU-Based System-on-Chip. IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Abstract: Artificial intelligence (AI) is becoming increasingly relevant for space applications, reducing reliance on high-bandwidth downlinks. Its use, however, has primarily been demonstrated in low Earth orbit (LEO) using commercial off-the-shelf...

Pavirani, L., Bove, P., & Coro, G. (2025, June). "Ecosystem Risk Assessment Through Stressor Concurrency Identification: A Comparative Analysis". In OCEANS 2025 Brest (pp. 1-6). IEEE.

In Marine Science, ecosystem risk assessment is a process that integrates data to estimate the potential impact of harmful and fragile forces (stressors) on the ecosystem. Nowadays, the management of marine ecosystems is increasingly complex due to...

Pavirani, L., Bove, P., & Coro, G. (2025, June). "Ecosystem Risk Assessment Through Stressor Concurrency Identification: A Comparative Analysis". In OCEANS 2025 Brest (pp. 1-6). IEEE.

In Marine Science, ecosystem risk assessment is a process that integrates data to estimate the potential impact of harmful and fragile forces (stressors) on the ecosystem. Nowadays, the management of marine ecosystems is increasingly complex due to...

L. Borgianni, D. Adami, M. Bosi, S. Giordano, C. Chafe: "A Comprehensive Evaluation of Networked Music Performance using LEO Satellite Internet: The Starlink Use Case", IEEE Transactions on Network and Service Management, 2025

Networked Music Performance (NMP) is one of the most challenging real-time applications in which musicians can play together using the internet without being physically together. Nowadays, the connection technology can have performance that guarantees...

Pavirani, L., Bove, P., & Coro, G. (2025). "Assessing marine ecosystem risks through unsupervised methods". Ecological Informatics, 103334.

Marine ecosystems are facing significant challenges from intensified fishing, pollution, climate change, and biodiversity loss. Ecosystem risk assessments are vital for informing effective policies and management decisions. Traditional approaches, such...

S.Casini, P.Ducange, F.Marcelloni, L.Pollini: "Human-Centered AI and Autonomy in Robotics: Insights from a Bibliometric Study", International Joint Conference on Neural Network IJCNN 2025

The development of autonomous robotic systems offers significant potential for performing complex tasks with precision and consistency. Recent advances in Artificial Intelligence (AI) have enabled more capable intelligent automation systems, addressing...

Harnessing Robotics for European Union Forest Habitats Monitoring: Toward a Robotic-Assisted Framework for Standardized Field Surveys

Di Marco, A., Lavezzo, L., Viti, A., Ciacchini, R., Conversano, C., Scilingo, E. P., & Nardelli, M. (2025). Investigating Cardiovascular Synchrony in a Mindfulness-Based Stress Reduction Program: A Pilot Study on Trainer-Trainee Connection. 2025 IEEE

The Mindfulness-Based Stress Reduction program (MBSR) is a structured intervention that blends meditation, formal and informal practices and yoga to enhance attention and emotional regulation and overall well-being. Its potential benefits are...

Lavezzo, L., Di Marco, A., Viti, A., Ciacchini, R., Conversano, C., Grandjean, D., Scilingo, E. P., Filippa, M., & Nardelli, M. (2025). Exploring Dyadic Cardiovascular Synchronization in Response to High-Arousal Music. 2025 IEEE Medical Measurements

Abstract: Interpersonal synchrony represents the ability of individuals to align temporally with others, fostering stronger social bonds and supporting emotional regulation. Previous research has shown that music can affect this process by shaping...

The Impact of Prediction Models on Energy-Aware Resource Management in FaaS Platforms

Energy-Efficient Resource Management for Real-Time Applications in FaaS Edge Computing Platforms

M. Corsi, E. Maurina, S. Surdo, G. Barillaro et al: "In vivo and in situ monitoring of doxorubicin pharmacokinetics with an implantable bioresorbable optical sensor", Science Advances 2025, 11(16)

Cancer treatment, particularly chemotherapy, requires balancing efficacy and toxicity. Although traditional monitoring methods can lead to suboptimal outcomes, emerging implantable chemical sensors can complement them by providing precise, real-time...

M. Corsi, E. Maurina, S. Surdo, G. Barillaro et al: "In vivo and in situ monitoring of doxorubicin pharmacokinetics with an implantable bioresorbable optical sensor", Science Advances 2025, 11(16)

Cancer treatment, particularly chemotherapy, requires balancing efficacy and toxicity. Although traditional monitoring methods can lead to suboptimal outcomes, emerging implantable chemical sensors can complement them by providing precise, real-time...

N. Canino, P. Dini, S. Mazzetti, D. Rossi and S. Saponara, "CANini: In-Depth Traffic Analysis for Design and Robustness Evaluation of DTree-Based IDS in Automotive Networking Systems".

In-Vehicle Networks (IVNs) have become increasingly complex due to the need to enhance driving experience and provide passengers with a broader range of services. The Controller Area Network (CAN) bus is widely used in modern vehicles, enabling...

N. Canino, P. Dini, S. Mazzetti, D. Rossi and S. Saponara, "CANini: In-Depth Traffic Analysis for Design and Robustness Evaluation of DTree-Based IDS in Automotive Networking Systems," IEEE Access, April 2025

In-Vehicle Networks (IVNs) have become increasingly complex due to the need to enhance driving experience and provide passengers with a broader range of services. The Controller Area Network (CAN) bus is widely used in modern vehicles, enabling...

F. Lombardini, G. Buttitta: "On the Issue of Short-Term Decorrelation in Forest Tomography with Companion SARS", Proc. of 2024 IEEE Int. Geosci. and Remote Sensing Symp. (IGARSS 2024), Athens, Greece, July 2024, pp. 3104-3107.

Abstract: In the framework of developments of 3D forest SAR Tomography (Tomo-SAR), the issue of extensive and detailed characterizations of temporal decorrelation phenomena has emerged, especially for the future spaceborne operations. However,...