Badraddine Aghoutane

19 papers C 2Journal 12Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Novel session-based recommendation system using capsule graph neural network. Neural Networks Driss El Alaoui, Jamal Riffi, Abdelouahed Sabri, Badraddine Aghoutane, Ali Yahyaouy, Hamid Tairi
2025	J	`jnl`	Artificial intelligence-driven prediction system for efficient management of Parlatoria Blanchardi in date palms. Multim. Tools Appl. Abdelaaziz Hessane, Ahmed El Youssefi, Yousef Farhaoui, Badraddine Aghoutane, El Arbi Abdellaoui Alaoui, Anand Nayyar
2025	J	`jnl`	Social recommendation system based on heterogeneous graph attention networks. Int. J. Data Sci. Anal. Driss El Alaoui, Jamal Riffi, Abdelouahed Sabri, Badraddine Aghoutane, Ali Yahyaouy, Hamid Tairi
2024	J	`jnl`	Comparative Study of Filtering Methods for Scientific Research Article Recommendations. Big Data Cogn. Comput. Driss El Alaoui, Jamal Riffi, Abdelouahed Sabri, Badraddine Aghoutane, Ali Yahyaouy, Hamid Tairi
2024	J	`jnl`	Contextual Recommendations: Dynamic Graph Attention Networks With Edge Adaptation. IEEE Access Driss El Alaoui, Jamal Riffi, Abdelouahed Sabri, Badraddine Aghoutane, Ali Yahyaouy, Hamid Tairi
2023	J	`jnl`	A Machine Learning Based Framework for a Stage-Wise Classification of Date Palm White Scale Disease. Big Data Min. Anal. Abdelaaziz Hessane, Ahmed El Youssefi, Yousef Farhaoui, Badraddine Aghoutane, Fatima Amounas
2023	C	`conf`	Sentiment Analysis: Machine Learning approaches comparison. WINCOM Loukmane Maada, Khalid Al Fararni, Badraddine Aghoutane, Yousef Farhaoui, Mohammed Fattah
2022	J	`jnl`	Application of Internet of Things in the Health Sector: Toward Minimizing Energy Consumption. Big Data Min. Anal. Mohammed Moutaib, Ahajjam Tarik, Mohammed Fattah, Yousef Farhaoui, Badraddine Aghoutane, Moulhime El Bekkali
2022	J	`jnl`	Deep GraphSAGE-based recommendation system: jumping knowledge connections with ordinal aggregation network. Neural Comput. Appl. Driss El Alaoui, Jamal Riffi, Abdelouahed Sabri, Badraddine Aghoutane, Ali Yahyaouy, Hamid Tairi
2021	J	`jnl`	Hybrid recommender system for tourism based on big data and AI: A conceptual framework. Big Data Min. Anal. Khalid Al Fararni, Fouad Nafis, Badraddine Aghoutane, Ali Yahyaouy, Jamal Riffi, My Abdelouahed Sabri
2021	J	`jnl`	Optimization of the Energy Consumption of Connected Objects. Int. J. Interact. Mob. Technol. Mohammed Moutaib, Ahajjam Tarik, Mohammed Fattah, Yousef Farhaoui, Badraddine Aghoutane, Moulhime El Bekkali
2021	—	`conf`	Overview of the Main Recommendation Approaches for the Scientific Articles. CBI Driss El Alaoui, Jamal Riffi, Badraddine Aghoutane, My Abdelouahed Sabri, Ali Yahyaouy, Hamid Tairi
2021	J	`jnl`	Semantic integration of Moroccan cultural heritage using CIDOC CRM: case of Drâa-Tafilalet zone. Int. J. Cloud Comput. Fouad Nafis, Badraddine Aghoutane, Ali Yahyaouy
2021	J	`jnl`	Tourism recommender systems: an overview. Int. J. Cloud Comput. Khalid Al Fararni, Badraddine Aghoutane, Ali Yahyaouy, Jamal Riffi, Abdelouahed Sabri
2020	—	`conf`	Collaborative Filtering: Comparative Study Between Matrix Factorization and Neural Network Method. NETYS Driss El Alaoui, Jamal Riffi, Badraddine Aghoutane, My Abdelouahed Sabri, Ali Yahyaouy, Hamid Tairi
2020	—	`conf`	Communication model in the Internet Of Things. EUSPN/ICTH Moulay Driss El Ouadghiri, Badraddine Aghoutane, N. El Farissi
2020	—	`conf`	E-learning techniques and technologies analysis for a moroccan virtual university perspective. ICECOCS Mohamed Karim Khachouch, Yassine Loukili, Sarah Benjelloun, Ayoub Korchi, Younes Lakhrissi, Aniss Moumen, Badraddine Aghoutane
2018	—	`conf`	Proposal of a Big data System Based on the Recommendation and Profiling Techniques for an Intelligent Management of Moroccan Tourism. FNC/MobiSPC Oumayma Boulaalam, Badraddine Aghoutane, Driss El Ouadghiri, Aniss Moumen, Mahamed Laghdaf Cheikh Malinine
2009	C	`conf`	Data processing application based on plug-ins architecture and XML for handling analytical data. AICCSA Badraddine Aghoutane, Nouredine Chenfour, Rachid Benslimane, Mohammed Meknassi

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.