Oguzhan Ahmet Arik

15 papers Journal 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Fuzzy rule-based variable neighborhood search algorithm for single-machine weighted earliness/tardiness scheduling with common due date. Neural Comput. Appl. Oguzhan Ahmet Arik
2025	J	`jnl`	Reinforcement Learning Based Acceptance Criteria for Metaheuristic Algorithms. Int. J. Comput. Intell. Syst. Oguzhan Ahmet Arik, Gülhan Toga, Berrin Atalay
2022	J	`jnl`	Additive manufacturing scheduling problem considering assembly operations of parts. Oper. Res. Oguzhan Ahmet Arik
2022	J	`jnl`	Fuzzy rule-based acceptance criterion in metaheuristic algorithms. J. King Saud Univ. Comput. Inf. Sci. Oguzhan Ahmet Arik
2022	J	`jnl`	Public transportation vehicle selection by the grey relational analysis method. Public Transp. Gülçin Canbulut, Erkan Köse, Oguzhan Ahmet Arik
2022	J	`jnl`	Weighted earliness/tardiness parallel machine scheduling problem with a common due date. Expert Syst. Appl. Oguzhan Ahmet Arik, Marco Schutten, Engin Topan
2021	J	`jnl`	A Genetic Algorithm Approach to Parallel Machine Scheduling Problems Under Effects of Position-Dependent Learning and Linear Deterioration: Genetic Algorithm to Parallel Machine Scheduling Problems. Int. J. Appl. Metaheuristic Comput. Oguzhan Ahmet Arik, Mehmet Duran Toksari
2021	J	`jnl`	Artificial bee colony algorithm including some components of iterated greedy algorithm for permutation flow shop scheduling problems. Neural Comput. Appl. Oguzhan Ahmet Arik
2021	J	`jnl`	Handling of revenue sharing contracts within the scope of game theory. Soft Comput. Gülçin Canbulut, Erkan Kose, Oguzhan Ahmet Arik
2021	J	`jnl`	Long-term Plantation and Harvesting Planning for Industrial Plantation Forest Areas. Oper. Res. Forum Oguzhan Ahmet Arik
2021	J	`jnl`	Population-based Tabu search with evolutionary strategies for permutation flow shop scheduling problems under effects of position-dependent learning and linear deterioration. Soft Comput. Oguzhan Ahmet Arik
2021	J	`jnl`	Single machine earliness/tardiness scheduling problem with grey processing times and the grey common due date. Grey Syst. Theory Appl. Oguzhan Ahmet Arik
2020	J	`jnl`	Comparisons of metaheuristic algorithms for unrelated parallel machine weighted earliness/tardiness scheduling problems. Evol. Intell. Oguzhan Ahmet Arik
2019	J	`jnl`	Simple assembly line balancing problem of Type 1 with grey demand and grey task durations. Grey Syst. Theory Appl. Oguzhan Ahmet Arik, Erkan Kose, Jeffrey Forrest
2018	J	`jnl`	Multi-objective fuzzy parallel machine scheduling problems under fuzzy job deterioration and learning effects. Int. J. Prod. Res. Oguzhan Ahmet Arik, Mehmet Duran Toksari

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.