Otman Abdoun

16 papers Journal 9Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Multi-agent Digital Twin Framework for Predictive Maintenance Using Machine Learning and Genetic Algorithms: A Case Study Morocco, Tangier Med Port. Oper. Res. Forum Hamza Garmouch, Otman Abdoun
2025	J	`jnl`	A comparative study of learning style model using machine learning for an adaptive E-learning. Multim. Tools Appl. Fatima Zohra Lhafra, Otman Abdoun
2022	—	`conf`	Adaptive Collaborative Learning Process in a Hybrid Model. AISI Fatima Zohra Lhafra, Otman Abdoun
2021	—	`conf`	A New Design of an Ant Colony Optimization (ACO) Algorithm for Optimization of Ad Hoc Network. NISS (Springer) Hala Khankhour, Otman Abdoun, Jaafar Abouchabaka
2021	—	`conf`	Application of Artificial Intelligence to X-ray Image-Based Coronavirus Diseases (COVID-19) for Automatic Detection. BDIoT El Idrissi El-Bouzaidi Youssra, Otman Abdoun
2021	J	`jnl`	Smart Tutoring System: A Predictive Personalized Feedback in a Pedagogical Sequence. Int. J. Emerg. Technol. Learn. Fatima-Zohra Hibbi, Otman Abdoun, Haimoudi El Khatir
2021	—	`conf`	The impact of COVID-19 on education: Performance Analysis of Tracks and Tools for Distance Education in Schools during the Coronavirus Pandemic in Morocco. NISS (ACM) Fatima Zohra Lhafra, Otman Abdoun
2020	J	`jnl`	Extract Tacit Knowledge in the Learner Model of the Smart Tutoring System. Int. J. Emerg. Technol. Learn. Fatima-Zohra Hibbi, Otman Abdoun, Haimoudi El Khatir
2020	—	`conf`	Knowledge Management in the Expert Model of the Smart Tutoring System. NISS Fatima-Zohra Hibbi, Otman Abdoun, Haimoudi El Khatir
2020	J	`jnl`	Optimization by Hybridization of a Genetic Algorithm with the PROMOTHEE Method: Management of Multicriteria Localization. CoRR Myriem Alijo, Otman Abdoun, Mostafa Bachran, Amal Bergam
2020	—	`conf`	Study and Analysis of Data Analysis Systems (Reconstruction of a Learning Data from the Initial Data). NISS Sara Belattar, Otman Abdoun, Haimoudi El Khatir
2017	—	`conf`	Parallel approach for genetic algorithm to solve the Asymmetric Traveling Salesman Problems. ICCWCS Yassine Moumen, Otman Abdoun, Ali Daanoun
2013	J	`jnl`	A Meta-heuristically Approach of the Spatial Assignment Problem of Human Resources in Multi-sites Enterprise. CoRR Said Tkatek, Otman Abdoun, Jaafar Abouchabaka, Najat Rafalia
2012	J	`jnl`	A Comparative Study of Adaptive Crossover Operators for Genetic Algorithms to Resolve the Traveling Salesman Problem CoRR Otman Abdoun, Jaafar Abouchabaka
2012	J	`jnl`	Analyzing the Performance of Mutation Operators to Solve the Travelling Salesman Problem CoRR Otman Abdoun, Jaafar Abouchabaka, Chakir Tajani
2012	J	`jnl`	Hybridizing PSM and RSM Operator for Solving NP-Complete Problems: Application to Travelling Salesman Problem CoRR Otman Abdoun, Chakir Tajani, Jaafar Abouchabaka

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.