Omayma Mahjoub

16 papers A* 3A 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Characterizing MARL for Energy Control: A Multi-KPI Benchmark on the CityLearn Environment. CoRR Aymen Khouja, Imen Jendoubi, Omayma Mahjoub, Oussama Mahfoudhi, Claude Formanek, Siddarth Singh, Ruan de Kock
2025	J	`jnl`	Breaking the Performance Ceiling in Complex Reinforcement Learning requires Inference Strategies. CoRR Félix Chalumeau, Daniel Rajaonarivonivelomanantsoa, Ruan de Kock, Claude Formanek, Sasha Abramowitz, Omayma Mahjoub, Wiem Khlifi, Simon du Toit, Louay Ben Nessir, Refiloe Shabe, Arnol Fokam, Siddarth Singh, Ulrich A. Mbou Sob, Arnu Pretorius
2025	A	`conf`	Multi-Agent Reinforcement Learning with Selective State-Space Models. AAMAS Jemma Daniel, Ruan John de Kock, Louay Ben Nessir, Sasha Abramowitz, Omayma Mahjoub, Wiem Khlifi, Juan Claude Formanek, Arnu Pretorius
2025	J	`jnl`	Oryx: a Performant and Scalable Algorithm for Many-Agent Coordination in Offline MARL. CoRR Claude Formanek, Omayma Mahjoub, Louay Ben Nessir, Sasha Abramowitz, Ruan de Kock, Wiem Khlifi, Simon du Toit, Félix Chalumeau, Daniel Rajaonarivonivelomanantsoa, Arnol Fokam, Siddarth Singh, Ulrich A. Mbou Sob, Arnu Pretorius
2025	A*	`conf`	Sable: a Performant, Efficient and Scalable Sequence Model for MARL. ICML Omayma Mahjoub, Sasha Abramowitz, Ruan John de Kock, Wiem Khlifi, Simon du Toit, Jemma Daniel, Louay Ben Nessir, Louise Beyers, Juan Claude Formanek, Liam Clark, Arnu Pretorius
2024	A*	`conf`	Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. ICLR Clément Bonnet, Daniel Luo, Donal Byrne, Shikha Surana, Sasha Abramowitz, Paul Duckworth, Vincent Coyette, Laurence Illing Midgley, Elshadai Tegegn, Tristan Kalloniatis, Omayma Mahjoub, Matthew Macfarlane, Andries P. Smit, Nathan Grinsztajn, Raphaël Boige, Cemlyn N. Waters, Mohamed A. Mimouni, Ulrich A. Mbou Sob, Ruan de Kock, Siddarth Singh, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, Alexandre Laterre
2024	J	`jnl`	Multi-Agent Reinforcement Learning with Selective State-Space Models. CoRR Jemma Daniel, Ruan de Kock, Louay Ben Nessir, Sasha Abramowitz, Omayma Mahjoub, Wiem Khlifi, Claude Formanek, Arnu Pretorius
2024	J	`jnl`	Performant, Memory Efficient and Scalable Multi-Agent Reinforcement Learning. CoRR Omayma Mahjoub, Sasha Abramowitz, Ruan de Kock, Wiem Khlifi, Simon du Toit, Jemma Daniel, Louay Ben Nessir, Louise Beyers, Claude Formanek, Liam Clark, Arnu Pretorius
2023	J	`jnl`	Efficiently Quantifying Individual Agent Importance in Cooperative MARL. CoRR Omayma Mahjoub, Ruan de Kock, Siddarth Singh, Wiem Khlifi, Abidine Vall, Kale-ab Abebe Tessera, Arnu Pretorius
2023	J	`jnl`	Generalisable Agents for Neural Network Optimisation. CoRR Kale-ab Abebe Tessera, Callum Rhys Tilbury, Sasha Abramowitz, Ruan de Kock, Omayma Mahjoub, Benjamin Rosman, Sara Hooker, Arnu Pretorius
2023	J	`jnl`	How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning. CoRR Siddarth Singh, Omayma Mahjoub, Ruan de Kock, Wiem Khlifi, Abidine Vall, Kale-ab Abebe Tessera, Arnu Pretorius
2023	J	`jnl`	Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. CoRR Clément Bonnet, Daniel Luo, Donal Byrne, Shikha Surana, Vincent Coyette, Paul Duckworth, Laurence I. Midgley, Tristan Kalloniatis, Sasha Abramowitz, Cemlyn N. Waters, Andries P. Smit, Nathan Grinsztajn, Ulrich A. Mbou Sob, Omayma Mahjoub, Elshadai Tegegn, Mohamed A. Mimouni, Raphaël Boige, Ruan de Kock, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, Alexandre Laterre
2023	J	`jnl`	On Diagnostics for Understanding Agent Training Behaviour in Cooperative MARL. CoRR Wiem Khlifi, Siddarth Singh, Omayma Mahjoub, Ruan de Kock, Abidine Vall, Rihab Gorsane, Arnu Pretorius
2022	A*	`conf`	Towards a Standardised Performance Evaluation Protocol for Cooperative MARL. NeurIPS Rihab Gorsane, Omayma Mahjoub, Ruan de Kock, Roland Dubb, Siddarth Singh, Arnu Pretorius
2022	J	`jnl`	Towards a Standardised Performance Evaluation Protocol for Cooperative MARL. CoRR Rihab Gorsane, Omayma Mahjoub, Ruan de Kock, Roland Dubb, Siddarth Singh, Arnu Pretorius
2021	J	`jnl`	Mava: a research library for distributed multi-agent reinforcement learning in JAX. CoRR Ruan de Kock, Omayma Mahjoub, Sasha Abramowitz, Wiem Khlifi, Callum Rhys Tilbury, Claude Formanek, Andries P. Smit, Arnu Pretorius

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.