Ugur Kadak

15 papers Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Durrmeyer neural network interpolation: A multilayer kernel-based framework for function approximation and functional connectivity. Expert Syst. Appl. Ugur Kadak
2026	J	`jnl`	Deep variable-order fractional neural networks: High-fidelity modeling of brain dynamics with memory-adaptive operators. J. Comput. Appl. Math. Ugur Kadak, Guo-Cheng Wu
2026	J	`jnl`	Durrmeyer deep neural networks: Bridging deep learning and dynamic brain functional connectivity. Inf. Sci. Ugur Kadak
2026	J	`jnl`	Hermite-type neural network operators: derivative-informed frameworks for functional neuroimaging and signal processing. Neural Networks Ugur Kadak
2026	J	`jnl`	Multivariate deep Durrmeyer sampling operators: Enhancing dynamic functional connectivity with a kernel-based framework. Neurocomputing Ugur Kadak
2024	J	`jnl`	Modeling brain information flow dynamics with multidimensional fuzzy inference systems. Inf. Sci. Ugur Kadak
2023	J	`jnl`	Fractional sampling operators of multivariate fuzzy functions and applications to image processing. Appl. Soft Comput. Ugur Kadak
2023	J	`jnl`	Integrating multivariate fuzzy neural networks into fuzzy inference system for enhanced decision making. Fuzzy Sets Syst. Ugur Kadak, Lucian C. Coroianu
2022	J	`jnl`	Multivariate fuzzy neural network interpolation operators and applications to image processing. Expert Syst. Appl. Ugur Kadak
2022	J	`jnl`	Multivariate neural network interpolation operators. J. Comput. Appl. Math. Ugur Kadak
2022	J	`jnl`	Neural network operators of fuzzy n-cell number valued functions and multidimensional fuzzy inference system. Knowl. Based Syst. Ugur Kadak
2021	J	`jnl`	A numerical comparative study of generalized Bernstein-Kantorovich operators. Math. Found. Comput. Ugur Kadak, Faruk Özger
2019	J	`jnl`	Statistical weighted matrix summability of fuzzy mappings and associated approximation results. J. Intell. Fuzzy Syst. Ugur Kadak, Mohammad Mursaleen, Syed Abdul Mohiuddine
2017	J	`jnl`	Statistical weighted B-summability and its applications to approximation theorems. Appl. Math. Comput. Ugur Kadak, Naim L. Braha, H. M. Srivastava
2015	J	`jnl`	Generalized Lacunary Statistical Difference Sequence Spaces of Fractional Order. Int. J. Math. Math. Sci. Ugur Kadak

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.