Fanny Spagnolo

Assistant Professor

University of Calabria

Italy

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About

Fanny Spagnolo is an Assistant Professor at the University of Calabria, Italy. Her research interests encompass hardware design and signal processing, focusing on energy-efficient systems, hardware implementations for deep neural networks, and secure data transmission methodologies. Recent contributions include advancements in FPGA technologies, novel compressive sensing methods, and innovative architectures for wearable devices.

Articles (18)

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2025

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2022

Collaborators (4)

Pasquale Corsonello

University of Calabria

ITALY

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Stefania Perri

Associate Professor

University of Calabria

ITALY

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Hussam Amrouch

Professor and Head of the Chair of AI Processor Design

Technical University of Munich

GERMANY

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Jian-Jia Chen

Technische Universität Dortmund

GERMANY

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Fanny Spagnolo

Research Interests

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Articles (18)

A Novel Compressive Sensing Method for Secure and Energy Efficient ECG Signal Transmission Applications

Design of Energy Efficient RFET-based Polymorphic Logic Gates

HIMAM: Hardware Implementation of Multiply-and-Max/Min Layers for Energy-Efficient DNN Inference

Efficient Addition Circuits Using Three-Gate Reconfigurable Field Effect Transistors

A High-Speed and Low-Power DSP-Based TRNG for FPGA Implementations

C4TERO: Configurable Cascaded Carry Chains for High Reliability TERO PUFs on FPGAs

Exploring the Usage of Fast Carry Chains to Implement Multistage Ring Oscillators on FPGAs: Design and Characterization

An explainable embedded neural system for on-board ship detection from optical satellite imagery

A High-Speed FPGA-Based True Random Number Generator Using Metastability With Clock Managers

Design of Leading Zero Counters on FPGAs

HW/SW Codesign for Approximation-Aware Binary Neural Networks

Design of a Low-Power Super-Resolution Architecture for Virtual Reality Wearable Devices

Welding defects classification through a Convolutional Neural Network

Compressed Sensing Approach for Physiological Signals: A Review

Design of Approximate Bilateral Filters for Image Denoising on FPGAs

Unlocking Efficiency in BNNs: Global by Local Thresholding for Analog-based HW Accelerators

Multibit Full Comparator Logic in Quantum-Dot Cellular Automata

Designing Energy-Efficient Approximate Multipliers

Collaborators (4)

Pasquale Corsonello

Stefania Perri

Hussam Amrouch

Jian-Jia Chen

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