Bassem Sellami

22 papers B 3C 6Journal 8Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Next-Gen IoT localization: When quantum-SSA-Markov hybridization meets energy efficiency for robust, accurate, and sustainable positioning in smart environments. Comput. Networks Maher Jabberi, Akram Hakiri, Bassem Sellami, Adel M. Alimi
2026	J	`jnl`	Observability of a prediction model post-deployment data drift: the case of international trade value. J. Supercomput. Bassem Sellami, Chahinez Ounoughi, Tarmo Kalvet, Marek Tiits, Sadok Ben Yahia
2025	C	`conf`	Energy-Efficient Real-Time Localization for Distributed Iot Sensing: Novel CNN-Based Models. ISORC Maher Jabberi, Akram Hakiri, Bassem Sellami, Adel M. Alimi
2025	C	`conf`	Hybrid Quantum-CNN Framework for Secure, Robust, and Efficient IoT Localization under Adversarial Signal Attacks. PEMWN Maher Jabberi, Akram Hakiri, Bassem Sellami, Adel M. Alimi
2025	J	`jnl`	Joint energy efficiency and network optimization for integrated blockchain-SDN-based internet of things networks. Future Gener. Comput. Syst. Akram Hakiri, Bassem Sellami, Sadok Ben Yahia
2024	C	`conf`	Accurate Energy-Efficient Localization Hybrid Models for Distributed IoT Sensing. AICCSA Maher Jabberi, Bassem Sellami, Akram Hakiri, Mohamed Adel Alimi
2024	C	`conf`	Accurate Recommendation of EV Charging Stations Driven by Availability Status Prediction. ICSOFT Meriem Manai, Bassem Sellami, Sadok Ben Yahia
2024	J	`jnl`	Harnessing Graph Neural Networks to Predict International Trade Flows. Big Data Cogn. Comput. Bassem Sellami, Chahinez Ounoughi, Tarmo Kalvet, Marek Tiits, Diego Rincon-Yanez
2024	B	`conf`	Leveraging Data for Better Bike Sharing: A Methodology for Terminal Availability Prediction. KES Meriem Manai, Bassem Sellami, Sadok Ben Yahia
2024	C	`conf`	Performance Evaluation of Real-Time Localization and Positioning Algorithms for WSNs. ISORC Maher Jabberi, Bassem Sellami, Akram Hakiri, Adel M. Alimi
2024	B	`conf`	Towards a Smarter Charging Infrastructure: Real-Time Availability Forecasting for EVs. KES Meriem Manai, Bassem Sellami, Sadok Ben Yahia
2023	J	`jnl`	Accurate prediction of international trade flows: Leveraging knowledge graphs and their embeddings. CoRR Diego Rincon-Yanez, Chahinez Ounoughi, Bassem Sellami, Tarmo Kalvet, Marek Tiits, Sabrina Senatore, Sadok Ben Yahia
2023	J	`jnl`	Accurate prediction of international trade flows: Leveraging knowledge graphs and their embeddings. J. King Saud Univ. Comput. Inf. Sci. Diego Rincon-Yanez, Chahinez Ounoughi, Bassem Sellami, Tarmo Kalvet, Marek Tiits, Sabrina Senatore, Sadok Ben Yahia
2022	J	`jnl`	Deep Reinforcement Learning for energy-aware task offloading in join SDN-Blockchain 5G massive IoT edge network. Future Gener. Comput. Syst. Bassem Sellami, Akram Hakiri, Sadok Ben Yahia
2022	J	`jnl`	Energy-aware task scheduling and offloading using deep reinforcement learning in SDN-enabled IoT network. Comput. Networks Bassem Sellami, Akram Hakiri, Sadok Ben Yahia, Pascal Berthou
2022	—	`—`	Investigation of Deep Learning and Blockchain Applicability for Software-Defined Internet of Things. (Enquête sur l'applicabilité de l'apprentissage en profondeur et de la chaîne de blocs pour l'Internet des objets défini par logiciel). Bassem Sellami
2022	—	`conf`	Smart Irrigation Management System. SITIS Bassem Sellami, Abdelaziz El Fazziki, Mohamed Taha Bennani, Sadok Ben Yahia
2020	—	`conf`	A Blockchain Architecture for SDN-enabled Tamper-Resistant IoT Networks. GIIS Akram Hakiri, Bassem Sellami, Sadok Ben Yahia, Pascal Berthou
2020	—	`conf`	A SDN-based IoT Architecture Framework for Efficient Energy Management in Smart Buildings. GIIS Akram Hakiri, Bassem Sellami, Sadok Ben Yahia, Pascal Berthou
2020	B	`conf`	Deep Reinforcement Learning for Energy-Efficient Task Scheduling in SDN-based IoT Network. NCA Bassem Sellami, Akram Hakiri, Sadok Ben Yahia, Pascal Berthou
2020	—	`conf`	Secure, Context-Aware and QoS-Enabled SDN Architecture to Improve Energy Efficiency in IoT-Based Smart Buildings. DiCES-N Akram Hakiri, Bassem Sellami, Fatma Ghandour, Sadok Ben Yahia
2017	C	`conf`	Managing Wireless Fog Networks using Software-Defined Networking. AICCSA Akram Hakiri, Bassem Sellami, Prithviraj Patil, Pascal Berthou, Aniruddha S. Gokhale

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.