Paola Busia

21 papers A 1Journal 8Unranked 9
YearRankTypeTitle / Venue / Authors
2026 — ed.
17th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 15th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms, PARMA-DITAM 2026, Krakow, Poland, January 27, 2026
PARMA-DITAM
Davide Baroffio, Paola Busia, Lev Denisov, Nitin Shukla
2025 J jnl
A Tiny Transformer for Low-Power Arrhythmia Classification on Microcontrollers.
IEEE Trans. Biomed. Circuits Syst.
Paola Busia, Matteo Antonio Scrugli, Victor Jean-Baptiste Jung, Luca Benini, Paolo Meloni
2025 — conf
A glimpse on the EdgeAI project: Technologies for Optimized Embedded Processing: Invited Paper.
CF (Companion)
Paola Busia, Ovidiu Vermesan
2025 J jnl
ESTU: Enabling Spiking Transformers on Ultra-Low-Power FPGAs.
IEEE Trans. Circuits Syst. II Express Briefs
Gianluca Leone, Paola Busia, Mauro Orrú, Luigi Raffo, Paolo Meloni
2025 — conf
Endoscopy Image Classification for Wireless Capsules with CNNs on Microcontroller-Based Platforms.
DASIP
Paola Busia, Andrea Pinna, Paolo Meloni
2025 J jnl
Real-Time sEMG Processing With Spiking Neural Networks on a Low-Power 5K-LUT FPGA.
IEEE Trans. Biomed. Circuits Syst.
Matteo Antonio Scrugli, Gianluca Leone, Paola Busia, Luigi Raffo, Paolo Meloni
2025 J jnl
Wearable Epilepsy Seizure Detection on FPGA With Spiking Neural Networks.
IEEE Trans. Biomed. Circuits Syst.
Paola Busia, Gianluca Leone, Andrea Matticola, Luigi Raffo, Paolo Meloni
2024 J jnl
A Noisy Beat is Worth 16 Words: a Tiny Transformer for Low-Power Arrhythmia Classification on Microcontrollers.
CoRR
Paola Busia, Matteo Antonio Scrugli, Victor Jean-Baptiste Jung, Luca Benini, Paolo Meloni
2024 — ed.
Design and Architectures for Signal and Image Processing - 17th International Workshop, DASIP 2024, Munich, Germany, January 17-19, 2024, Proceedings
DASIP
Tiago Dias, Paola Busia
2024 — conf
Design of an AI-driven Architecture with Cobots for Digital Transformation to Enhance Quality Control in the Food Industry.
UMAP (Adjunct Publication)
Paola Busia, Claudio Marche, Paolo Meloni, Diego Reforgiato Recupero
2024 — conf
Exploiting FPGAs and Spiking Neural Networks at the Micro-Edge: The EdgeAI Approach.
ARC
Paolo Meloni, Paola Busia, Gianluca Leone, Luca Martis, Matteo Antonio Scrugli
2024 A conf
On-FPGA Spiking Neural Networks for Integrated Near-Sensor ECG Analysis.
DATE
Matteo Antonio Scrugli, Paola Busia, Gianluca Leone, Paolo Meloni
2024 J jnl
Reducing False Alarms in Wearable Seizure Detection With EEGformer: A Compact Transformer Model for MCUs.
IEEE Trans. Biomed. Circuits Syst.
Paola Busia, Andrea Cossettini, Thorir Mar Ingolfsson, Simone Benatti, Alessio Burrello, Victor J. B. Jung, Moritz Scherer, Matteo Antonio Scrugli, Adriano Bernini, Pauline Ducouret, Philippe Ryvlin, Paolo Meloni, Luca Benini
2024 — conf
sEMG-Based Gesture Recognition with Spiking Neural Networks on Low-Power FPGA.
DASIP
Matteo Antonio Scrugli, Gianluca Leone, Paola Busia, Paolo Meloni
2023 — —
Optimizing Neural Networks for Embedded Edge-Processing Platforms.
Paola Busia
2022 — conf
Dynamic Pruning for Parsimonious CNN Inference on Embedded Systems.
DASIP
Paola Busia, Ilias Theodorakopoulos, Vasileios K. Pothos, Nikos Fragoulis, Paolo Meloni
2022 — conf
EEGformer: Transformer-Based Epilepsy Detection on Raw EEG Traces for Low-Channel-Count Wearable Continuous Monitoring Devices.
BioCAS
Paola Busia, Andrea Cossettini, Thorir Mar Ingolfsson, Simone Benatti, Alessio Burrello, Moritz Scherer, Matteo Antonio Scrugli, Paolo Meloni, Luca Benini
2022 J jnl
Target-Aware Neural Architecture Search and Deployment for Keyword Spotting.
IEEE Access
Paola Busia, Gianfranco Deriu, Luca Rinelli, Cristina Chesta, Luigi Raffo, Paolo Meloni
2021 J jnl
ALOHA: A Unified Platform-Aware Evaluation Method for CNNs Execution on Heterogeneous Systems at the Edge.
IEEE Access
Paola Busia, Svetlana Minakova, Todor P. Stefanov, Luigi Raffo, Paolo Meloni
2021 — conf
Task-Specific Automation in Deep Learning Processes.
DEXA Workshops
Georg Buchgeher, Gerald Czech, Adriano Souza Ribeiro, Werner Kloihofer, Paolo Meloni, Paola Busia, Gianfranco Deriu, Maura Pintor, Battista Biggio, Cristina Chesta, Luca Rinelli, David Solans, Manuel Portela
2019 — conf
Optimization and deployment of CNNs at the edge: the ALOHA experience.
CF
Paolo Meloni, Daniela Loi, Paola Busia, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Todor P. Stefanov, Svetlana Minakova, Francesco Conti, Luca Benini, Maura Pintor, Battista Biggio, Bernhard Moser, Natalia Shepeleva, Nikos Fragoulis, Ilias Theodorakopoulos, Michael Masin, Francesca Palumbo

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.