Maurizio Magarini
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Maurizio Magarini has a total of 217 co-authors. Here are the top co-authors by number of shared publications:
- Fardad Vakilipoor
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Bavaria, Germany
15 shared publications - Silvia Mura
Politecnico di Milano
10 shared publications - Atul Kumar
Department of Electronics Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi, India
9 shared publications - Francesco Linsalata
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy
9 shared publications - Kapal Dev
Munster Technological University, Cork, Ireland
9 shared publications - Umberto Spagnolini
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy
9 shared publications
Latest Publications
- 10 October 2026
- Published by Springer Nature
- p. 169-183
Trade-Offs in FMCW Radar-Based Respiration and Heart Rate Variability
- 10 October 2026
- Published by Springer Nature
- p. 169-183
Trade-Offs in FMCW Radar-Based Respiration and Heart Rate Variability
- 10 October 2026
- Published by Springer Nature
- p. 119-133
Biometric Authentication in Galvanic Coupling Communications: A Physical Layer Approach for Secure Wearable Medical Systems
- 10 October 2026
- Published by Springer Nature
- p. 119-133
Biometric Authentication in Galvanic Coupling Communications: A Physical Layer Approach for Secure Wearable Medical Systems
- 10 October 2026
- Published by Springer Nature
- p. 298-310
Model Based Error Rate Analysis of Electrical-to-Molecular Communication Interface via Redox Mechanisms
- 10 October 2026
- Published by Springer Nature
- p. 298-310
Model Based Error Rate Analysis of Electrical-to-Molecular Communication Interface via Redox Mechanisms
- 10 October 2026
- Published by Springer Nature
- p. 32-46
Experimental Characterization of Biological Tissue Dielectric Properties Through THz Time-Domain Spectroscopy
- 10 October 2026
- Published by Springer Nature
- p. 32-46
Experimental Characterization of Biological Tissue Dielectric Properties Through THz Time-Domain Spectroscopy
- 10 October 2026
- Published by Springer Nature
- p. 16-31
Layered Dielectric Characterization of Human Skin in the Sub-Terahertz and Terahertz Frequency Ranges
- 10 October 2026
- Published by Springer Nature
- p. 16-31
Layered Dielectric Characterization of Human Skin in the Sub-Terahertz and Terahertz Frequency Ranges
- Open Access
- 21 September 2026
- Published by Association for Computing Machinery (ACM)
- p. 46-51
Bayesian and Deep Learning-Based Uncertainty Quantification in THz-TDS for Human Tissue Characterization
- 21 September 2026
- Published by Association for Computing Machinery (ACM)
- p. 46-51
Open AccessBayesian and Deep Learning-Based Uncertainty Quantification in THz-TDS for Human Tissue Characterization
- Open Access
- 21 September 2026
- Published by Association for Computing Machinery (ACM)
- p. 40-45
Measurement-Driven Digital Twin for High-Frequency Propagation in Layered Human Skin
- 21 September 2026
- Published by Association for Computing Machinery (ACM)
- p. 40-45
Open AccessMeasurement-Driven Digital Twin for High-Frequency Propagation in Layered Human Skin
- Open Access
- 21 September 2026
- Published by Association for Computing Machinery (ACM)
- p. 91-96
Plant Stress Decoding from Electrophysiological Signals: A Bioelectrical Communication Framework
- 21 September 2026
- Published by Association for Computing Machinery (ACM)
- p. 91-96
Open AccessPlant Stress Decoding from Electrophysiological Signals: A Bioelectrical Communication Framework
- 22 May 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Molecular, Biological, and Multi-Scale Communications
- Vol. 12, 654-661
Modeling Plant Action Potentials Under Photoperiod Stress via Hodgkin–Huxley Dynamics
Plants exhibit dynamic bioelectric properties that facilitate information transfer across tissues. This study investigates action potentials (APs) in Nicotiana tabacum (tobacco) recorded within a custom-designed growth chamber using a biosignal amplifier and environmental sensors. Consistent light- and dark-induced APs were observed during photoperiod transitions under controlled 12-hour artificial illumination cycles. To understand these bioelectric responses, a mathematical model based on the Hodgkin-Huxley (HH) one is used. Electrophysiological measurements from Solanum lycopersicum (tomato) revealed that under natural light conditions, only light-induced APs are observed, while light- and dark-induced APs coupled dynamics is exclusively elicited during rapid transitions in artificial photoperiods. These distinct phenomena are characterized as prolonged oscillatory climatic engagement (POCE) and nimble environmental transition oscillation (NETO), respectively. The model successfully reproduces the key features in both frameworks while maintaining computational efficiency through voltage-independent gating kinetics.
- 22 May 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Molecular, Biological, and Multi-Scale Communications
- Vol. 12, 654-661
Modeling Plant Action Potentials Under Photoperiod Stress via Hodgkin–Huxley Dynamics
Plants exhibit dynamic bioelectric properties that facilitate information transfer across tissues. This study investigates action potentials (APs) in Nicotiana tabacum (tobacco) recorded within a custom-designed growth chamber using a biosignal amplifier and environmental sensors. Consistent light- and dark-induced APs were observed during photoperiod transitions under controlled 12-hour artificial illumination cycles. To understand these bioelectric responses, a mathematical model based on the Hodgkin-Huxley (HH) one is used. Electrophysiological measurements from Solanum lycopersicum (tomato) revealed that under natural light conditions, only light-induced APs are observed, while light- and dark-induced APs coupled dynamics is exclusively elicited during rapid transitions in artificial photoperiods. These distinct phenomena are characterized as prolonged oscillatory climatic engagement (POCE) and nimble environmental transition oscillation (NETO), respectively. The model successfully reproduces the key features in both frameworks while maintaining computational efficiency through voltage-independent gating kinetics.
- Open Access
- 6 May 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Open Journal of the Communications Society
- Vol. 7, 4747-4776
A System-Level Survey of Architectures, Noise, and Network Co-Design in QISAC
Quantum integrated sensing and communication (QISAC) is emerging as a key paradigm for next-generation quantum technologies, in which entanglement, coherence, and non-classical correlations are jointly exploited to enable secure communication, distributed sensing, and networked quantum functionalities. As quantum systems transition from laboratory demonstrations to deployable infrastructures, performance is increasingly limited not by individual components but by cross-layer interactions among hardware noise, channel loss, error-management strategies, and network architecture. This survey presents a system-level architectural framework for QISAC, focusing on how physical-layer constraints, quantum channel characteristics, and error-mitigation mechanisms jointly determine end-to-end performance and architectural feasibility in scalable quantum networks. We analyze representative quantum hardware platforms-including superconducting circuits, trapped ions, neutral atoms, photonic systems, and solid-state spin qubits-through the lens of coherence time, fidelity, interface capability, and technology readiness, emphasizing their implications for networked sensing and communication rather than device-level operation. The roles of quantum error correction (QEC) and entanglement purification are examined as complementary error-management layers, highlighting trade-offs among resource overhead, latency, and achievable entanglement fidelity under realistic noise and memory constraints. We further connect these architectural considerations to QISAC-enabled applications such as distributed quantum sensing, quantum key distribution (QKD), and repeater-assisted entanglement distribution, clarifying how hardware limitations and error-management choices propagate to application-level performance. By synthesizing noise, error management, and network co-design into a unified system perspective, this survey provides design-oriented insights and architectural guidelines for building scalable, noise-resilient QISAC networks.
- 6 May 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Open Journal of the Communications Society
- Vol. 7, 4747-4776
Open AccessA System-Level Survey of Architectures, Noise, and Network Co-Design in QISAC
Quantum integrated sensing and communication (QISAC) is emerging as a key paradigm for next-generation quantum technologies, in which entanglement, coherence, and non-classical correlations are jointly exploited to enable secure communication, distributed sensing, and networked quantum functionalities. As quantum systems transition from laboratory demonstrations to deployable infrastructures, performance is increasingly limited not by individual components but by cross-layer interactions among hardware noise, channel loss, error-management strategies, and network architecture. This survey presents a system-level architectural framework for QISAC, focusing on how physical-layer constraints, quantum channel characteristics, and error-mitigation mechanisms jointly determine end-to-end performance and architectural feasibility in scalable quantum networks. We analyze representative quantum hardware platforms-including superconducting circuits, trapped ions, neutral atoms, photonic systems, and solid-state spin qubits-through the lens of coherence time, fidelity, interface capability, and technology readiness, emphasizing their implications for networked sensing and communication rather than device-level operation. The roles of quantum error correction (QEC) and entanglement purification are examined as complementary error-management layers, highlighting trade-offs among resource overhead, latency, and achievable entanglement fidelity under realistic noise and memory constraints. We further connect these architectural considerations to QISAC-enabled applications such as distributed quantum sensing, quantum key distribution (QKD), and repeater-assisted entanglement distribution, clarifying how hardware limitations and error-management choices propagate to application-level performance. By synthesizing noise, error management, and network co-design into a unified system perspective, this survey provides design-oriented insights and architectural guidelines for building scalable, noise-resilient QISAC networks.