Daniele Caviglia

Full Professor of Electronics

University of Genoa

Italy

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About

Daniele Caviglia is a Full Professor of Electronics at the University of Genoa, Italy. His research areas encompass low-power electronics, biomedical instrumentation, and machine learning applications in environmental monitoring. Recent publications include work on multi-mode filters for neural recording and innovative approaches to imaging in medical ultrasound. He is also involved in the development of advanced modeling techniques for atmospheric propagation and air quality monitoring systems.

Articles (20)

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2025

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2021

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2020

Collaborators (5)

Ali Namdari

University of Genoa

ITALY

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Ismail Butun

KTH Royal Institute of Technology

SWEDEN

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Junaid Qadir

KTH Royal Institute of Technology

SWEDEN

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Corrado Boragno

Associate Professor - Condensed Matter Physics

Università degli Studi di Roma La Sapienza Dipartimento di Fisica

ITALY

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Robert Lagerström

Associate professor

KTH Royal Institute of Technology

SWEDEN

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Daniele Caviglia

Research Interests

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About

Articles (20)

A 48 nW, Universal, Multi-Mode Gm-C Filter with a Frequency Range Tunability

Compound Mask for Divergent Wave Imaging in Medical Ultrasound

Multipolar Stimulator for Deep Brain Stimulation With Suppression of Stimulation-Induced Common-Mode Artifacts

Erratum to “Improved Chebyshev Spectral Method Modeling for Vector Radiative Transfer in Atmospheric Propagation”

A 0.5 V, 32 nW Compact Inverter-Based All-Filtering Response Modes Gm-C Filter for Bio-Signal Processing

On the Edge Recurrent Neural Network Approach for Ground Moving FMCW Radar Target Classification

Improved Chebyshev Spectral Method Modeling for Vector Radiative Transfer in Atmospheric Propagation

Rainfall Classification in Genoa: Machine Learning vs. Adaptive Statistical Models Using Satellite Microwave Links

A Reconfigurable, Nonlinear, Low-Power, VCO-Based ADC for Neural Recording Applications

Mitigating Cyber Attacks in LoRaWAN via Lightweight Secure Key Management Scheme

Monitoring the Air Quality in an HVAC System via an Energy Harvesting Device

Rain Discrimination with Machine Learning Classifiers for Opportunistic Rain Detection System Using Satellite Micro-Wave Links

An Online Training Procedure for Rain Detection Models Applied to Satellite Microwave Links

Enhancing Cyber Security of LoRaWAN Gateways under Adversarial Attacks

A Short-Range FMCW Radar-Based Approach for Multi-Target Human-Vehicle Detection

A Low Power AC/DC Interface for Wind-Powered Sensor Nodes

Cost-Efficient FMCW Radar for Multi-Target Classification in Security Gate Monitoring

Porting Rulex Software to the Raspberry Pi for Machine Learning Applications on the Edge

Advanced Real-Time Monitoring of Rainfall Using Commercial Satellite Broadcasting Service: A Case Study

Pedestrian and Multi-Class Vehicle Classification in Radar Systems Using Rulex Software on the Raspberry Pi

Collaborators (5)

Ali Namdari

Ismail Butun

Junaid Qadir

Corrado Boragno

Robert Lagerström

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