Lars Ivar Hatledal

14 papers C 2Journal 5Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Ecos: An accessible and intuitive co-simulation framework. J. Open Source Softw. Lars Ivar Hatledal
2024	—	`conf`	Data Interface for an Interactable Ship Bridge towards Maritime Autonomous Surface Ships at Human-in-the-loop Levels. ICHMS Baiheng Wu, Lars Ivar Hatledal, Andreas Madsen, Tongtong Wang, Andreas Brandsæter, Ottar L. Osen
2023	J	`jnl`	A Digital Twin of the Research Vessel Gunnerus for Lifecycle Services: Outlining Key Technologies. IEEE Robotics Autom. Mag. Houxiang Zhang, Guoyuan Li, Lars Ivar Hatledal, Yingguang Chu, André Listou Ellefsen, Peihua Han, Pierre Major, Robert Skulstad, Tongtong Wang, Hans Petter Hildre
2023	C	`conf`	Implementation And Evaluation Of An Arthroscopic Tracker System For Intraoperative Motion Tracking And Force Registration. ECMS Øystein Bjelland, Lars Ivar Hatledal, Robin T. Bye, Martin Steinert
2022	—	`conf`	Adaptive Data-driven Predictor of Ship Maneuvering Motion Under Varying Ocean Environments. ISoLA (4) Tongtong Wang, Robert Skulstad, Motoyasu Kanazawa, Lars Ivar Hatledal, Guoyuan Li, Houxiang Zhang
2022	J	`jnl`	Incorporating Approximate Dynamics Into Data-Driven Calibrator: A Representative Model for Ship Maneuvering Prediction. IEEE Trans. Ind. Informatics Tongtong Wang, Guoyuan Li, Lars Ivar Hatledal, Robert Skulstad, Vilmar Æsøy, Houxiang Zhang
2021	—	`conf`	Co-simulation-Based Pre-training of a Ship Trajectory Predictor. SEFM Workshops Motoyasu Kanazawa, Lars Ivar Hatledal, Guoyuan Li, Houxiang Zhang
2021	—	`conf`	Effect of Ship Propulsion Retrofit on Maneuverability Research Based on Co-simulation. SEFM Workshops Tongtong Wang, Lars Ivar Hatledal, Motoyasu Kanazawa, Guoyuan Li, Houxiang Zhang
2021	—	`—`	Protocols and Standard for Simulation Co-Simulation - For demanding maritime operations. Lars Ivar Hatledal
2020	C	`conf`	Enabling Python Driven Co-Simulation Models With PythonFMU. ECMS Lars Ivar Hatledal, Houxiang Zhang, Frederic Collonval
2019	J	`jnl`	A Language and Platform Independent Co-Simulation Framework Based on the Functional Mock-Up Interface. IEEE Access Lars Ivar Hatledal, Arne Styve, Geir Hovland, Houxiang Zhang
2019	—	`conf`	FMU-proxy: A Framework for Distributed Access to Functional Mock-up Units. Modelica Lars Ivar Hatledal, Houxiang Zhang, Arne Styve, Geir Hovland
2015	J	`jnl`	Controlling Kuka Industrial Robots: Flexible Communication Interface JOpenShowVar. IEEE Robotics Autom. Mag. Filippo Sanfilippo, Lars Ivar Hatledal, Houxiang Zhang, Massimiliano Fago, Kristin Ytterstad Pettersen
2014	—	`conf`	JOpenShowVar: An open-source cross-platform communication interface to Kuka robots. ICIA Filippo Sanfilippo, Lars Ivar Hatledal, H. Zhang, Massimiliano Fago, Kristin Ytterstad Pettersen

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.