Patrick Buchfink

23 papers Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Energy-stable port-Hamiltonian systems. Appl. Math. Lett. Patrick Buchfink, Silke Glas, Hans Zwart
2025	J	`jnl`	Energy-stable Port-Hamiltonian Systems. CoRR Patrick Buchfink, Silke Glas, Hans Zwart
2025	J	`jnl`	Model order reduction via Lie groups. CoRR Yannik P. Wotte, Patrick Buchfink, Silke Glas, Federico Califano, Stefano Stramigioli
2024	J	`jnl`	Data-driven identification of latent port-Hamiltonian systems. CoRR Johannes Rettberg, Jonas Kneifl, Julius Herb, Patrick Buchfink, Jörg Fehr, Bernard Haasdonk
2024	J	`jnl`	Dictionary-based online-adaptive structure-preserving model order reduction for parametric Hamiltonian systems. Adv. Comput. Math. Robin Herkert, Patrick Buchfink, Bernard Haasdonk
2024	J	`jnl`	Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems. CoRR Robin Herkert, Patrick Buchfink, Bernard Haasdonk, Johannes Rettberg, Jörg Fehr
2024	J	`jnl`	Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data. CoRR Robin Herkert, Patrick Buchfink, Tizian Wenzel, Bernard Haasdonk, Pavel Toktaliev, Oleg Iliev
2024	J	`jnl`	Improved a posteriori error bounds for reduced port-Hamiltonian systems. Adv. Comput. Math. Johannes Rettberg, Dominik Wittwar, Patrick Buchfink, Robin Herkert, Jörg Fehr, Bernard Haasdonk
2023	J	`jnl`	Approximation Bounds for Model Reduction on Polynomially Mapped Manifolds. CoRR Patrick Buchfink, Silke Glas, Bernard Haasdonk
2023	J	`jnl`	Dictionary-based Online-adaptive Structure-preserving Model Order Reduction for Parametric Hamiltonian Systems. CoRR Robin Herkert, Patrick Buchfink, Bernard Haasdonk
2023	J	`jnl`	Improved a posteriori Error Bounds for Reduced port-Hamiltonian Systems. CoRR Johannes Rettberg, Dominik Wittwar, Patrick Buchfink, Robin Herkert, Jörg Fehr, Bernard Haasdonk
2023	J	`jnl`	Model Reduction on Manifolds: A differential geometric framework. CoRR Patrick Buchfink, Silke Glas, Bernard Haasdonk, Benjamin Unger
2023	—	`conf`	Randomized Symplectic Model Order Reduction for Hamiltonian Systems. LSSC Robin Herkert, Patrick Buchfink, Bernard Haasdonk, Johannes Rettberg, Jörg Fehr
2023	J	`jnl`	Randomized Symplectic Model Order Reduction for Hamiltonian Systems. CoRR Robin Herkert, Patrick Buchfink, Bernard Haasdonk, Johannes Rettberg, Jörg Fehr
2023	J	`jnl`	Symplectic Model Reduction of Hamiltonian Systems on Nonlinear Manifolds and Approximation with Weakly Symplectic Autoencoder. SIAM J. Sci. Comput. Patrick Buchfink, Silke Glas, Bernard Haasdonk
2023	J	`jnl`	Symplectic model reduction of Hamiltonian systems using data-driven quadratic manifolds. CoRR Harsh Sharma, Hongliang Mu, Patrick Buchfink, Rudy Geelen, Silke Glas, Boris Kramer
2022	J	`jnl`	Port-Hamiltonian Fluid-Structure Interaction Modeling and Structure-Preserving Model Order Reduction of a Classical Guitar. CoRR Johannes Rettberg, Dominik Wittwar, Patrick Buchfink, Alexander Brauchler, Pascal Ziegler, Jörg Fehr, Bernard Haasdonk
2022	—	`conf`	Surrogate-data-enriched Physics-Aware Neural Networks. NLDL Raphael Leiteritz, Patrick Buchfink, Bernard Haasdonk, Dirk Pflüger
2021	—	`conf`	Reduced Basis Methods for Efficient Simulation of a Rigid Robot Hand Interacting with Soft Tissue. LSSC Shahnewaz Shuva, Patrick Buchfink, Oliver Röhrle, Bernard Haasdonk
2021	J	`jnl`	Reduced Basis Methods for Efficient Simulation of a Rigid Robot Hand Interacting with Soft Tissue. CoRR Shahnewaz Shuva, Patrick Buchfink, Oliver Röhrle, Bernard Haasdonk
2021	J	`jnl`	Surrogate-data-enriched Physics-Aware Neural Networks. CoRR Raphael Leiteritz, Patrick Buchfink, Bernard Haasdonk, Dirk Pflüger
2021	J	`jnl`	Symplectic Model Reduction of Hamiltonian Systems on Nonlinear Manifolds. CoRR Patrick Buchfink, Silke Glas, Bernard Haasdonk
2019	—	`conf`	Experimental Comparison of Symplectic and Non-symplectic Model Order Reduction on an Uncertainty Quantification Problem. ENUMATH Patrick Buchfink, Bernard Haasdonk

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.