Oussama Mahboub

12 papers A 1Journal 4Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Active Learning and Adaptive Semi-Supervised Approach for Medical Image Segmentation. ICCAD Niama Assia El Joudi, Mohamed Lazaar, François Delmotte, Hamid Allaoui, Oussama Mahboub
2025	J	`jnl`	Adaptive transfer learning using SegFormer for imbalanced pixel in medical image segmentation. Signal Image Video Process. Niama Assia El Joudi, Mohamed Lazaar, François Delmotte, Hamid Allaoui, Oussama Mahboub
2025	J	`jnl`	Leveraging pretrained embeddings and self-attention based convolutional neural networks for early prediction of ventilator-associated pneumonia from clinical notes. Eng. Appl. Artif. Intell. Zineb El M'hamdi, Mohamed Lazaar, Oussama Mahboub
2025	J	`jnl`	U-Net-Based Fetal Head Circumference Segmentation With Synthetic-Driven Generation Data Augmentation. Int. J. Imaging Syst. Technol. Niama Assia El Joudi, Mohamed Lazaar, François Delmotte, Hamid Allaoui, Oussama Mahboub
2024	—	`conf`	Fine-tuned SegFormer for enhanced fetal head segmentation. EUSPN/ICTH Niama Assia El Joudi, Mohamed Lazaar, François Delmotte, Hamid Allaoui, Oussama Mahboub
2024	J	`jnl`	Unleashing the potential of applied UNet architectures and transfer learning in teeth segmentation on panoramic radiographs. Intelligenza Artificiale Rime Bouali, Oussama Mahboub, Mohamed Lazaar
2023	—	`conf`	Review of Dental Diagnosis by Deep Learning Models: Trends, Applications and Challenges. EUSPN/ICTH Rime Bouali, Oussama Mahboub, Mohamed Lazaar
2022	—	`conf`	Review of the role of Artificial Intelligence in dentistry: Current applications and trends. EUSPN/ICTH Niama Assia El Joudi, Mohammed Bennani Othmani, Farid Bourzgui, Oussama Mahboub, Mohamed Lazaar
2021	—	`conf`	A Comprehensive Review of Artificial Intelligence Techniques in Financial Market. CIST Zahra Berradi, Mohamed Lazaar, Oussama Mahboub, Hicham Omara
2019	—	`ed.`	BDIoT'19: The 4th International Conference On Big Data and Internet of Things, Rabat, Morocco, October 23-24, 2019 BDIoT Mohamed Lazaar, Claude Duvallet, Mohammed Al Achhab, Oussama Mahboub, Hassan Silkan
2019	—	`conf`	MCDM-Review of Decision Making Modules Integration in CMMS. BDIoT Zakaria Mansouri, Hicham Sarir, Oussama Mahboub
2017	—	`conf`	Compact Size Coplanar Waveguide Bandpass Filter Design and Modeling. ICCWCS Rida El Haffar, Abdelkrim Farkhsi, Oussama Mahboub, Naima Amar Touhami

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.