Daniel Hader - RankMe

23 papers A* 3B 4Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Simulation of the abstract Tile Assembly Model using crisscross slats (extended version). Nat. Comput. Phillip Drake, Daniel Hader, Matthew J. Patitz
2026	J	`jnl`	Strict Self-Assembly of Discrete Self-Similar Fractals in the Abstract Tile Assembly Model. Algorithmica Florent Becker, Daniel Hader, Matthew J. Patitz
2025	J	`jnl`	Fractal dimension of assemblies in the abstract tile assembly model. Nat. Comput. Daniel Hader, Matthew J. Patitz, Scott M. Summers
2025	A*	`conf`	Strict Self-Assembly of Discrete Self-Similar Fractals in the abstract Tile Assembly Model. SODA Florent Becker, Daniel Hader, Matthew J. Patitz
2024	J	`jnl`	Self-replication via tile self-assembly. Nat. Comput. Andrew Alseth, Daniel Hader, Matthew J. Patitz
2024	B	`conf`	Simulation of the Abstract Tile Assembly Model Using Crisscross Slats. DNA Phillip Drake, Daniel Hader, Matthew J. Patitz
2024	J	`jnl`	Simulation of the abstract Tile Assembly Model Using Crisscross Slats. CoRR Phillip Drake, Daniel Hader, Matthew J. Patitz
2024	J	`jnl`	Strictly Self-Assembling Discrete Self-Similar Fractals Using Quines. CoRR Daniel Hader, Matthew J. Patitz
2024	J	`jnl`	The Impacts of Dimensionality, Diffusion, and Directedness on Intrinsic Cross-Model Simulation in Tile-Based Self-Assembly. Algorithmica Daniel Hader, Matthew J. Patitz
2024	J	`jnl`	Universal shape replication via self-assembly with signal-passing tiles. Nat. Comput. Andrew Alseth, Daniel Hader, Matthew J. Patitz
2023	B	`conf`	Accelerating Self-Assembly of Crisscross Slat Systems. DNA David Doty, Hunter Fleming, Daniel Hader, Matthew J. Patitz, Lukas A. Vaughan
2023	A*	`conf`	The Impacts of Dimensionality, Diffusion, and Directedness on Intrinsic Cross-Model Simulation in Tile-Based Self-Assembly. ICALP Daniel Hader, Matthew J. Patitz
2023	J	`jnl`	The Impacts of Dimensionality, Diffusion, and Directedness on Intrinsic Cross-Model Simulation in Tile-Based Self-Assembly. CoRR Daniel Hader, Matthew J. Patitz
2022	J	`jnl`	Universal Shape Replication Via Self-Assembly With Signal-Passing Tiles. CoRR Andrew Alseth, Daniel Hader, Matthew J. Patitz
2022	B	`conf`	Universal Shape Replication via Self-Assembly with Signal-Passing Tiles (Extended Abstract). DNA Andrew Alseth, Daniel Hader, Matthew J. Patitz
2021	—	`conf`	Fractal Dimension of Assemblies in the Abstract Tile Assembly Model. UCNC Daniel Hader, Matthew J. Patitz, Scott M. Summers
2021	J	`jnl`	Geometric tiles and powers and limitations of geometric hindrance in self-assembly. Nat. Comput. Daniel Hader, Matthew J. Patitz
2021	B	`conf`	Self-Replication via Tile Self-Assembly (Extended Abstract). DNA Andrew Alseth, Daniel Hader, Matthew J. Patitz
2021	J	`jnl`	Self-Replication via Tile Self-Assembly (extended abstract). CoRR Andrew Alseth, Daniel Hader, Matthew J. Patitz
2020	A*	`conf`	The Impacts of Dimensionality, Diffusion, and Directedness on Intrinsic Universality in the abstract Tile Assembly Model. SODA Daniel Hader, Aaron Koch, Matthew J. Patitz, Michael Sharp
2019	J	`jnl`	Geometric Tiles and Powers and Limitations of Geometric Hindrance in Self-Assembly. CoRR Daniel Hader, Matthew J. Patitz
2019	—	`conf`	Geometric Tiles and Powers and Limitations of Geometric Hindrance in Self-assembly. UCNC Daniel Hader, Matthew J. Patitz
2019	J	`jnl`	The Impacts of Dimensionality, Diffusion, and Directedness on Intrinsic Universality in the abstract Tile Assembly Model. CoRR Daniel Hader, Aaron Koch, Matthew J. Patitz, Michael Sharp

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.