Federica Amitrano

18 papers Journal 3Unranked 15

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Ankle-Foot Orthoses affect Spatio-Temporal Gait Parameters in Foot Drop Patients. EMBC Armando Coccia, Federica Amitrano, Anna De Rosa, Gaetano Pagano, Ernesto Losavio, Giovanni D'Addio
2024	J	`jnl`	Biomechanical Effects of Using a Passive Exoskeleton for the Upper Limb in Industrial Manufacturing Activities: A Pilot Study. Sensors Armando Coccia, Edda Maria Capodaglio, Federica Amitrano, Vittorio Gabba, Monica Panigazzi, Gaetano Pagano, Giovanni D'Addio
2024	—	`conf`	Custom Ankle-Foot Orthosis in Foot Drop: Influence on Body Joints Kinematics. EMBC Federica Amitrano, Armando Coccia, Federico Colelli Riano, Gaetano Pagano, Vito Marsico, Giovanni D'Addio
2024	J	`jnl`	Measuring Surface Electromyography with Textile Electrodes in a Smart Leg Sleeve. Sensors Federica Amitrano, Armando Coccia, Gaetano Pagano, Arcangelo Biancardi, Giuseppe Tombolini, Vito Marsico, Giovanni D'Addio
2023	—	`conf`	Effects of Ankle-Foot Orthosis on Balance of Foot Drop Patients. MIE Federica Amitrano, Armando Coccia, Gaetano Pagano, Arcangelo Biancardi, Giuseppe Tombolini, Giovanni D'Addio
2023	—	`conf`	Reliability of IMU-Derived Gait Parameters in Foot Drop Patients. MIE Armando Coccia, Federica Amitrano, Gaetano Pagano, Arcangelo Biancardi, Giuseppe Tombolini, Giovanni D'Addio
2022	—	`conf`	Ataxia and Parkinson's disease patients classification using tree-based machine learning algorithms fed by spatiotemporal features: a pilot study. MeMeA Giuseppe Cesarelli, Leandro Donisi, Armando Coccia, Federica Amitrano, Arcangelo Biancardi, Bernardo Lanzillo, Giovanni D'Addio
2022	—	`conf`	Biomechanical modelling for quantitative assessment of gait kinematics in drop foot patients with ankle foot orthosis. MeMeA Armando Coccia, Federica Amitrano, Gaetano Pagano, Lucia Dileo, Vito Marsico, Giuseppe Tombolini, Giovanni D'Addio
2022	—	`conf`	Feasibility of Tree-based Machine Learning algorithms fed with surface electromyographic features to discriminate risk classes according to NIOSH. MeMeA Leandro Donisi, Edda Maria Capodaglio, Gaetano Pagano, Federica Amitrano, Mario Cesarelli, Monica Panigazzi, Giovanni D'Addio
2022	—	`conf`	The Impact of Ankle-Foot Orthoses on Spatio-Temporal Gait Parameters in Drop-Foot Patients. MeMeA Federica Amitrano, Armando Coccia, Gaetano Pagano, Lucia Dileo, Ernesto Losavio, Giuseppe Tombolini, Giovanni D'Addio
2022	—	`conf`	The impact of ankle-foot orthosis on walking features of drop foot patients. MetroXRAINE Federica Amitrano, Armando Coccia, Giuseppe Cesarelli, Leandro Donisi, Gaetano Pagano, Mario Cesarelli, Giovanni D'Addio
2021	—	`conf`	Analysis of Test-Retest Repeatability of Gait Analysis Parameters in Hereditary Spastic Paraplegia. MeMeA Armando Coccia, Federica Amitrano, Pietro Balbi, Leandro Donisi, Arcangelo Biancardi, Giovanni D'Addio
2021	—	`conf`	Distinguishing Stroke patients with and without Unilateral Spatial Neglect by means of Clinical Features: a Tree-based Machine Learning Approach. MeMeA Leandro Donisi, Pasquale Moretta, Armando Coccia, Federica Amitrano, Arcangelo Biancardi, Giovanni D'Addio
2021	—	`conf`	Gait Analysis using Wearable E-Textile Sock: an Experimental Study of Test-Retest Reliability. MeMeA Federica Amitrano, Armando Coccia, Leandro Donisi, Gaetano Pagano, Giuseppe Cesarelli, Giovanni D'Addio
2020	—	`conf`	Backpack Influence on Kinematic Parameters related to Timed Up and Go (TUG) Test in School Children. MeMeA Leandro Donisi, Armando Coccia, Federica Amitrano, Luca Mercogliano, Giuseppe Cesarelli, Giovanni D'Addio
2020	J	`jnl`	Design and Validation of an E-Textile-Based Wearable Sock for Remote Gait and Postural Assessment. Sensors Federica Amitrano, Armando Coccia, Carlo Ricciardi, Leandro Donisi, Giuseppe Cesarelli, Edda Maria Capodaglio, Giovanni D'Addio
2020	—	`conf`	Experimental Development and Validation of an E-Textile Sock Prototype. MeMeA Federica Amitrano, Leandro Donisi, Armando Coccia, Arcangelo Biancardi, Gaetano Pagano, Giovanni D'Addio
2020	—	`conf`	Repeatability of Spatio-Temporal Gait Measurements in Parkinson's Disease. MeMeA Armando Coccia, Bernardo Lanzillo, Leandro Donisi, Federica Amitrano, Giuseppe Cesarelli, Giovanni D'Addio

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.

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.