Oussama Hasidi

14 papers C 2Journal 5Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Advanced Spatio-Temporal Froth Analysis Using Smart Soft Sensors in Mineral Processing. SN Comput. Sci. Ahmed Bendaouia, El Hassan Abdelwahed, Sara Qassimi, Abdelmalek Boussetta, Intissar Benzakour, Oumkeltoum Amar, Mohamed Chekroun, Oussama Hasidi, Oussama Lachihab
2024	J	`jnl`	Artificial intelligence for enhanced flotation monitoring in the mining industry: A ConvLSTM-based approach. Comput. Chem. Eng. Ahmed Bendaouia, El Hassan Abdelwahed, Sara Qassimi, Abdelmalek Boussetta, Intissar Benzakour, Oumkeltoum Amar, Oussama Hasidi
2024	J	`jnl`	Enhancing resilience in complex energy systems through real-time anomaly detection: a systematic literature review. Energy Inform. Alì Aghazadeh Ardebili, Oussama Hasidi, Ahmed Bendaouia, Adem Khalil, Sabri Khalil, Dalila Luceri, Antonella Longo, El Hassan Abdelwahed, Sara Qassimi, Antonio Ficarella
2024	J	`jnl`	Hybrid features extraction for the online mineral grades determination in the flotation froth using Deep Learning. Eng. Appl. Artif. Intell. Ahmed Bendaouia, El Hassan Abdelwahed, Sara Qassimi, Abdelmalek Boussetta, Intissar Benzakour, Abderrahmane Benhayoun, Oumkeltoum Amar, François Bourzeix, Karim Baïna, Mouhamed Cherkaoui, Oussama Hasidi
2023	—	`conf`	Advancing Flotation Process Optimization Through Real-Time Machine Vision Monitoring: A Convolutional Neural Network Approach. KDIR Ahmed Bendaouia, El Hassan Abdelwahed, Sara Qassimi, Abdelmalek Boussetta, Intissar Benzakour, Oumkeltoum Amar, François Bourzeix, Khalil Jabbahi, Oussama Hasidi
2023	C	`conf`	Conv-LSTM for Real Time Monitoring of the Mineral Grades in the Flotation Froth. DATA Ahmed Bendaouia, El Hassan Abdelwahed, Sara Qassimi, Abdelmalek Boussetta, Intissar Benzakour, Oumkeltoum Amar, François Bourzeix, Achraf Soulala, Oussama Hasidi
2023	C	`conf`	Data-Driven and Model-Driven Approaches in Predictive Modelling for Operational Efficiency: Mining Industry Use Case. MEDI Oussama Hasidi, El Hassan Abdelwahed, My Abdellah El Alaoui-Chrifi, Aimad Qazdar, François Bourzeix, Intissar Benzakour, Ahmed Bendaouia, Charifa Dahhassi
2023	—	`conf`	Digital Twin Technology for Enhanced Health Monitoring, Maintenance, and Energy Efficiency of Electric Vehicles: E-mule Project. NISS Yassine El-Ouardi, Oussama Hasidi, Jakob Khamis, El Hassan Abdelwahed, Aimad Qazdar, Stephan Sauter, Jens Timmermann, Ahmed Bendaouia
2023	—	`conf`	Fourier Transform and Machine Learning for Real-Time Monitoring of Froth Flotation in Mining Industry. CiSt Ahmed Bendaouia, El Hassan Abdelwahed, Sara Qassimi, Abdelmalek Boussetta, Intissar Benzakour, Oussama Hasidi, Oumkeltoum Amar, Youssef Chafiqui
2023	—	`conf`	Generic and scalable multi-layered architecture for Digital Twin implementation in industrial processes: Mineral Processing case study. ICAAI Oussama Hasidi, El Hassan Abdelwahed, Aimad Qazdar, Moulay Abdellah El Alaoui-Chrifi, Intissar Benzakour, Rachida Chahid, Ahmed Bendaouia, François Bourzeix
2023	J	`jnl`	Newly Proposed Student Performance Indicators Based on Learning Analytics for Continuous Monitoring in Learning Management Systems. Int. J. Online Biomed. Eng. Aimad Qazdar, Oussama Hasidi, Sara Qassimi, El Hassan Abdelwahed
2023	—	`conf`	Smart Soft Sensor for Froth flotation quality monitoring using pre-trained feature extractor and Vision Transformer ViT. SITIS Oussama Hasidi, Ahmed Bendaouia, El Hassan Abdelwahed, Moulay Abdellah El Alaoui-Chrifi, Abdelmalek Boussetta, Intissar Benzakour, François Bourzeix, Kaotar Oubouhss
2022	—	`conf`	Digital Transformation of the Flotation Monitoring Towards an Online Analyzer. SADASC Ahmed Bendaouia, El Hassan Abdelwahed, Sara Qassimi, Abdelmalek Boussetta, Abderrahmane Benhayoun, Intissar Benzakour, Oumkeltoum Amar, Yahya Zennayi, François Bourzeix, Karim Baïna, Salah Baïna, Abdessamad Khalil, Mouhamed Cherkaoui, Oussama Hasidi
2022	—	`conf`	Digital Twins-Based Smart Monitoring and Optimisation of Mineral Processing Industry. SADASC Oussama Hasidi, El Hassan Abdelwahed, Aimad Qazdar, Abdellah Boulaamail, Mohamed Krafi, Intissar Benzakour, François Bourzeix, Salah Baïna, Karim Baïna, Mohamed Cherkaoui, Ahmed Bendaouia

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.