Daniel Dittler

24 papers C 10Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Concept for Autonomous Problem-Solving in Intralogistics Scenarios. CoRR Johannes Sigel, Daniel Dittler, Nasser Jazdi, Michael Weyrich
2025	—	`conf`	A Framework for Interoperability in Software Defined Vehicles using Asset Administration Shells. ICPS Akshay Narla, Daniel Dittler, Nasser Jazdi, Michael Weyrich
2025	J	`jnl`	An Expert Survey on Models and Digital Twins. CoRR Jonathan Tobias Reif, Daniel Dittler, Milapji Singh Gill, Tamás Farkas, Valentin Stegmaier, Felix Gehlhoff, Tobias Kleinert, Michael Weyrich
2025	J	`jnl`	Communication Architecture for Autonomous Power-to-X Platforms: Enhancing Inspection and Operation With Legged Robots and 5G. CoRR Peter Frank, Falk Dettinger, Daniel Dittler, Pascal Häbig, Nasser Jazdi, Kai Hufendiek, Michael Weyrich
2025	C	`conf`	Model-Based Control for Power-to-X Platforms: Knowledge Integration for Digital Twins. ETFA Daniel Dittler, Peter Frank, Gary Hildebrandt, Luisa Peterson, Nasser Jazdi, Michael Weyrich
2025	J	`jnl`	Model-Based Control for Power-to-X Platforms: Knowledge Integration for Digital Twins. CoRR Daniel Dittler, Peter Frank, Gary Hildebrandt, Luisa Peterson, Nasser Jazdi, Michael Weyrich
2024	J	`jnl`	A Survey on Performance, Current and Future Usage of Vehicle-To-Everything Communication Standards. CoRR Falk Dettinger, Matthias Weiß, Daniel Dittler, Johannes Stümpfle, Maurice Artelt, Michael Weyrich
2024	C	`conf`	Automating Software Product Line Adoption Based on Feature Models Using Large Language Models. ETFA Johannes Stümpfle, Sebastian Baum, Daniel Dittler, Nasser Jazdi, Michael Weyrich
2024	J	`jnl`	Data Integration for Digital Twins in Industrial Automation: A Systematic Literature Review. IEEE Access Gary Hildebrandt, Daniel Dittler, Pascal Habiger, Rainer Drath, Michael Weyrich
2024	C	`conf`	Federated Learning for Comfort Features in Vehicles with Collaborative Sensing: A Review. ETFA Baran Can Gül, Daniel Dittler, Nasser Jazdi, Michael Weyrich
2024	C	`conf`	Flexible Co-Simulation Approach for Model Adaption in Digital Twins of Power-to-X Platforms. ETFA Daniel Dittler, David Stauss, Philipp Rentschler, Johannes Stümpfle, Nasser Jazdi, Michael Weyrich
2024	J	`jnl`	Illustrating the benefits of efficient creation and adaption of behavior models in intelligent Digital Twins over the machine life cycle. CoRR Daniel Dittler, Valentin Stegmaier, Nasser Jazdi, Michael Weyrich
2024	J	`jnl`	Knowledge Graphs in the Digital Twin: A Systematic Literature Review About the Combination of Semantic Technologies and Simulation in Industrial Automation. IEEE Access Franz Georg Listl, Daniel Dittler, Gary Hildebrandt, Valentin Stegmaier, Nasser Jazdi, Michael Weyrich
2024	J	`jnl`	Knowledge Graphs in the Digital Twin: A Systematic Literature Review About the Combination of Semantic Technologies and Simulation in Industrial Automation. CoRR Franz Georg Listl, Daniel Dittler, Gary Hildebrandt, Valentin Stegmaier, Nasser Jazdi, Michael Weyrich
2024	J	`jnl`	LLM experiments with simulation: Large Language Model Multi-Agent System for Process Simulation Parametrization in Digital Twins. CoRR Yuchen Xia, Daniel Dittler, Nasser Jazdi, Haonan Chen, Michael Weyrich
2024	C	`conf`	LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins. ETFA Yuchen Xia, Daniel Dittler, Nasser Jazdi, Haonan Chen, Michael Weyrich
2023	J	`jnl`	A Modular System Architecture for an Offshore Off-grid Platform for Climate neutral Power-to-X Production in H2Mare. CoRR Pascal Häbig, Daniel Dittler, Maximilian Fey, Timo Müller, Nikola Mößner, Nasser Jazdi, Michael Weyrich, Kai Hufendiek
2023	C	`conf`	A Novel Model Adaption Approach for intelligent Digital Twins of Modular Production Systems. ETFA Daniel Dittler, Peter Lierhammer, Dominik Braun, Timo Müller, Nasser Jazdi, Michael Weyrich
2023	C	`conf`	Automated Integration of External Data into Digital Twins for Manufacturing Processes. ETFA Gary Hildebrandt, Pascal Habiger, Daniel Dittler, Rainer Drath, Michael Weyrich
2023	C	`conf`	Dynamic Production Scheduling with Intelligent Products in a Modular Production System. ETFA Maurice Artelt, Daniel Dittler, Gary Hildebrandt, Dominik Braun, Nasser Jazdi, Michael Weyrich
2022	C	`conf`	A Methodology for classifying Data relevance to utilize external Data Sources in the Digital Twin. ETFA Gary Hildebrandt, Pascal Habiger, Daniel Dittler, Mike Barth, Rainer Drath, Michael Weyrich
2022	C	`conf`	A Structure of Modelling Depths in Behavior Models for Digital Twins. ETFA Valentin Stegmaier, Daniel Dittler, Nasser Jazdi, Michael Weyrich
2022	J	`jnl`	An Agent-based Realisation for a continuous Model Adaption Approach in intelligent Digital Twins. CoRR Daniel Dittler, Peter Lierhammer, Dominik Braun, Timo Müller, Nasser Jazdi, Michael Weyrich
2022	J	`jnl`	Intelligent Exploration of Solution Spaces Exemplified by Industrial Reconfiguration Management. CoRR Timo Müller, Benjamin Maschler, Daniel Dittler, Nasser Jazdi, Michael Weyrich

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.