Daniele Costa - RankMe

14 papers Journal 5Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	AI-Driven Detection and Control in a Bioinspired Robotic Fish. MED Flavia Gioiello, Beatrice Moliterno, Veronica Bartolucci, Francesco Di Nardo, Daniele Costa, David Scaradozzi
2025	J	`jnl`	Simulation and Coordination of Autonomous Bio-Inspired Underwater Agents. IEEE Access David Scaradozzi, Veronica Bartolucci, Flavia Gioiello, Daniele Costa, Benedetta Castagna, Elena Zattoni, Gianluca Antonelli, Daniele Di Vito, Alessandro Marino, Filippo Arrichiello, Paolo Di Lillo, Stefano Chiaverini, Giuseppe Gillini
2024	—	`conf`	Collaborative robots in industrial manufacturing: a case study of tolerated assembly. MESA Federico Emiliani, Daniele Costa, Giacomo Palmieri, Daniele Polucci, Albin Bajrami, Chiara Leoni
2024	—	`conf`	From Single to Dual-Arm Collaborative Robotic Assembly: A Case Study at I-Labs. MESA Simone Pantanetti, Federico Emiliani, Daniele Costa, Giacomo Palmieri, Albin Bajrami
2024	J	`jnl`	Posture Optimization of the TIAGo Highly-Redundant Robot for Grasping Operation. Robotics Albin Bajrami, Matteo-Claudio Palpacelli, Luca Carbonari, Daniele Costa
2024	—	`conf`	Test Methods for Passive Exoskeletons for Manufacturing Applications. ERF (2) Cecilia Scoccia, Serenella Terlizzi, Samuele Tonelli, Daniele Costa, Giacomo Palmieri
2022	J	`jnl`	Design of a Labriform-Steering Underwater Robot Using a Multiphysics Simulation Environment. Robotics Daniele Costa, Cecilia Scoccia, Matteo Palpacelli, Massimo Callegari, David Scaradozzi
2022	—	`conf`	Design of an Underwater Robot Propelled by a Novel Class of Bio-Inspired Thrusters. MESA Daniele Costa, Matteo-Claudio Palpacelli, Giacomo Palmieri, Luca Carbonari, Cecilia Scoccia, David Scaradozzi
2022	—	`conf`	Disseminating Collaborative Robotics and Artificial Intelligence Through a Board Game Demo. MESA Luca Carbonari, Matteo Forlini, Cecilia Scoccia, Daniele Costa, Matteo-Claudio Palpacelli
2018	—	`conf`	A Complete IoT Infrastructure to Ensure Responsible, Effective and Efficient Execution of Field Survey, Documentation and Preservation of Archaeological Sites. RTSI Silvia Zingaretti, David Scaradozzi, Nicolò Ciuccoli, Daniele Costa, Giacomo Palmieri, Fabio Bruno, Gerardo Ritacco, Marco Cozza, P. Raxis, T. Tzifopanopoulos, A. Manglis, C. S. Agouridis, M. Michalis
2018	J	`jnl`	Design of a Bio-Inspired Autonomous Underwater Robot. J. Intell. Robotic Syst. Daniele Costa, Giacomo Palmieri, Matteo-Claudio Palpacelli, Luca Panebianco, David Scaradozzi
2018	—	`conf`	Experimental Setup for the Validation of the Bio-Inspired Thruster of an Ostraciiform Swimming Robot. MESA Daniele Costa, Massimo Callegari, Giacomo Palmieri, David Scaradozzi, Maurizio Brocchini, Gianluca Zitti
2017	—	`conf`	Computational fluid dynamics analysis and design of an ostraciiform swimming robot. ROBIO Daniele Costa, Matteo Franciolini, Giacomo Palmieri, Andrea Crivellini, David Scaradozzi
2017	J	`jnl`	UNIVPM BRAVe: A Hybrid Propulsion Underwater Research Vehicle. Int. J. Autom. Technol. David Scaradozzi, Giacomo Palmieri, Daniele Costa, Silvia Zingaretti, Luca Panebianco, Nicolò Ciuccoli, Antonio Pinelli, Massimo Callegari

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.