Federico Tessari

24 papers A* 1A 3B 1Journal 4Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Geometric Approach for the Comparison of Kinematic Synergy Postures. ICORR Federico Tessari, A. Michael West Jr., Neville Hogan
2025	J	`jnl`	Highly Compact Swing Assistive Knee Prosthesis Integrating Active and Passive Hydraulic Systems. IEEE Access Marco Puliti, Federico Tessari, Renato Galluzzi, Nicola Amati, Andrea Tonoli, Matteo Laffranchi
2024	—	`conf`	A Modular, Time-Independent, Path-Based Controller for Assist- as- Needed Rehabilitative Exoskeletons. BioRob Giulia Bodo, Raffaele Giannattasio, Vishal Ramadoss, Federico Tessari, Matteo Laffranchi
2024	A	`conf`	Design Improvements to the Float Upper-Limb Exoskeleton Better Mimics the Glenohumeral Complex Kinematics. IROS Giulia Bodo, Federico Tessari, Gianluca Capitta, Luca De Guglielmo, Stefano Buccelli, Matteo Laffranchi
2024	—	`conf`	Design and Validation of a Novel Partially Powered Knee Prosthesis. AIM Marco Puliti, Federico Tessari, Josephus J. M. Driessen, Renato Galluzzi, Michele Paravano, Nicola Amati, Andrea Tonoli, Lorenzo De Michieli, Matteo Laffranchi
2024	J	`jnl`	Divide et Impera: Learning impedance families for peg-in-hole assembly. CoRR Johannes Lachner, Federico Tessari, A. Michael West Jr., Moses C. Nah, Neville Hogan
2024	A	`conf`	On the Modularity of Elementary Dynamic Actions. IROS Moses C. Nah, Johannes Lachner, Federico Tessari, Neville Hogan
2024	—	`conf`	Social Tasks in a Spatial Augmented Training for the Embodiment of Prosthetic Lower Limbs. BioRob Giulia Mariani, Chiara Dominici, Federico Tessari, Marco Freddolini, Simone Traverso, Samuele De Giuseppe, Andrea Cherubini, Emanuele Gruppioni, Lorenzo De Michieli, Carlo Ferraresi, Matteo Laffranchi, Giacinto Barresi
2024	J	`jnl`	Surpassing Cosine Similarity for Multidimensional Comparisons: Dimension Insensitive Euclidean Metric (DIEM). CoRR Federico Tessari, Neville Hogan
2023	B	`conf`	An Augmented Cooperative Setting for Training the Embodiment of an Artificial Lower Limb. SMC Giulia Mariani, Federico Tessari, Carlo Ferraresi, Elena Lucania, Rebecca Lo Tauro, Marco Freddolini, Simone Traverso, Andrea Cherubini, Emanuele Gruppioni, Matteo Laffranchi, Lorenzo De Michieli, Giacinto Barresi
2023	—	`conf`	Competitive Training in Spatial Augmented Reality for Prosthetic Leg Embodiment. SeGAH Giulia Mariani, Federico Tessari, Carlo Ferraresi, Elena Lucania, Rebecca Lo Tauro, Marco Freddolini, Simone Traverso, Andrea Cherubini, Emanuele Gruppioni, Matteo Laffranchi, Lorenzo De Michieli, Giacinto Barresi
2023	—	`conf`	Customized Series Elastic Actuator for a Safe and Compliant Human-Robot Interaction: Design and Characterization. ICORR Giulia Bodo, Federico Tessari, Stefano Buccelli, Luca De Guglielmo, Gianluca Capitta, Matteo Laffranchi, Lorenzo De Michieli
2023	—	`conf`	Human-Centered Functional Task Design for Robotic Upper-Limb Rehabilitation. ICORR Anna Bucchieri, Federico Tessari, Stefano Buccelli, Giacinto Barresi, Elena De Momi, Matteo Laffranchi, Lorenzo De Michieli
2023	J	`jnl`	Kinematic Modularity of Elementary Dynamic Actions. CoRR Moses C. Nah, Johannes Lachner, Federico Tessari, Neville Hogan
2023	—	`conf`	The Study of Complex Manipulation via Kinematic Hand Synergies: The Effects of Data Pre-Processing. ICORR A. Michael West Jr., Federico Tessari, Neville Hogan
2023	—	`conf`	Use of Metamaterials to Reduce Acoustic Noise Emissions from Lower Limb Prostheses: An Experimental Validation. ICORR Marco Puliti, Josephus Driessen, Nicolò Vitale, Federico Tessari, Simone Traverso, Matteo Laffranchi, Lorenzo De Michieli, Louena Shtrepi
2022	—	`conf`	A Hybrid Swing-Assistive Electro-Hydrostatic Bionic Knee Design. BioRob Marco Puliti, Federico Tessari, Renato Galluzzi, Simone Traverso, Andrea Tonoli, Lorenzo De Michieli, Matteo Laffranchi
2022	—	`conf`	A Multi-Body Model of an upper-limb prosthesis for grip force estimation and related object interaction application. BioRob Giulia Bruni, Anna Bucchieri, Federico Tessari, Nicoló Boccardo, Andrea Marinelli, Elena De Momi, Matteo Laffranchi, Lorenzo De Michieli
2022	A*	`conf`	An Over-Actuated Bionic Knee Prosthesis: Modeling, Design and Preliminary Experimental Characterization. ICRA Lorenzo Guercini, Federico Tessari, Josephus Driessen, Stefano Buccelli, Anna Pace, Samuele De Giuseppe, Simone Traverso, Lorenzo De Michieli, Matteo Laffranchi
2022	—	`conf`	Comparative analysis of inverse kinematics methodologies to improve the controllability of rehabilitative robotic devices. ICORR Giulia Bodo, Pietro Di Bello, Federico Tessari, Stefano Buccelli, Nicoló Boccardo, Lorenzo De Michieli, Matteo Laffranchi
2022	—	`conf`	Sensorless Impedance Control for the TWIN Lower Limb Exoskeleton: A Preliminary Study. BioRob Alessia Sacchini, Federico Tessari, Christian Vassallo, Stefano Maludrottu, Elena De Momi, Matteo Laffranchi, Lorenzo De Michieli
2020	—	`conf`	An Integrated, Back-Drivable Electro-Hydrostatic Actuator for a Knee Prosthesis. BioRob Federico Tessari, Renato Galluzzi, Andrea Tonoli, Nicola Amati, Giovanni Milandri, Matteo Laffranchi, Lorenzo De Michieli
2020	A	`conf`	Analysis, Development and Evaluation of Electro-Hydrostatic Technology for Lower Limb Prostheses Applications IROS Federico Tessari, Renato Galluzzi, Andrea Tonoli, Nicola Amati, Matteo Laffranchi, Lorenzo De Michieli
2017	—	`conf`	Analysis & Modelling of Powertrain Components for an Efficient UAV Design. RAAD Mario Silvagni, Marcello Chiaberge, Federico Tessari

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.