Rafal Szlapczynski

15 papers Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Evolutionary multi-objective fishing routing with decision maker's preferences. Appl. Soft Comput. Igor Granado, Joanna Szlapczynska, Rafal Szlapczynski, Leticia Hernando, Jose A. Fernandes-Salvador
2025	J	`jnl`	Learning Software Overtime Estimation From Experts' Annotations: A Greedy Cross-Validation-Based Machine Learning Approach. IEEE Access Hammed Adeleye Mojeed, Rafal Szlapczynski
2024	—	`conf`	A Machine Learning Approach for Estimating Overtime Allocation in Software Development Projects. ISD Hammed Adeleye Mojeed, Rafal Szlapczynski
2024	J	`jnl`	Holistic collision avoidance decision support system for watchkeeping deck officers. Reliab. Eng. Syst. Saf. Rafal Szlapczynski, Joanna Szlapczynska, Mateusz Gil, Marcin Zyczkowski, Jakub Montewka
2023	J	`jnl`	Collision risk-informed weather routing for sailboats. Reliab. Eng. Syst. Saf. Marcin Zyczkowski, Rafal Szlapczynski
2023	—	`conf`	Machine Learning Assisted Interactive Multi-objectives Optimization Framework: A Proposed Formulation and Method for Overtime Planning in Software Development Projects. ICAISC (1) Hammed Adeleye Mojeed, Rafal Szlapczynski
2023	J	`jnl`	Parallel Implementation of a Sailing Assistance Application in a Cloud Environment. IEEE Access Marcin Zyczkowski, Rafal Szlapczynski, Piotr Orzechowski, Henryk Krawczyk
2023	J	`jnl`	Ship weather routing featuring w-MOEA/D and uncertainty handling. Appl. Soft Comput. Rafal Szlapczynski, Joanna Szlapczynska, Roberto Vettor
2021	J	`jnl`	A ship domain-based model of collision risk for near-miss detection and Collision Alert Systems. Reliab. Eng. Syst. Saf. Rafal Szlapczynski, Joanna Szlapczynska
2021	J	`jnl`	W-dominance: Tradeoff-inspired dominance relation for preference-based evolutionary multi-objective optimization. Swarm Evol. Comput. Rafal Szlapczynski, Joanna Szlapczynska
2019	J	`jnl`	Preference-based evolutionary multi-objective optimization in ship weather routing. Appl. Soft Comput. Joanna Szlapczynska, Rafal Szlapczynski
2012	J	`jnl`	Customized crossover in evolutionary sets of safe ship trajectories. Int. J. Appl. Math. Comput. Sci. Rafal Szlapczynski, Joanna Szlapczynska
2012	J	`jnl`	On evolutionary computing in multi-ship trajectory planning. Appl. Intell. Rafal Szlapczynski, Joanna Szlapczynska
2011	—	`conf`	Evolutionary Sets of Safe Ship Trajectories: Improving the Method by Adjusting Evolutionary Techniques and Parameters. ICCCI (2) Rafal Szlapczynski
2011	—	`conf`	Evolutionary Sets of Safe Ship Trajectories: Problem Dedicated Operators. ICCCI (2) Rafal Szlapczynski, Joanna Szlapczynska

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.