Ramy Mounir

12 papers A* 3Journal 6Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	—	`—`	On the Role of Prediction in Streaming Hierarchical Learning. Ramy Mounir
2024	A*	`conf`	Predictive Attractor Models. NeurIPS Ramy Mounir, Sudeep Sarkar
2024	J	`jnl`	Predictive Attractor Models. CoRR Ramy Mounir, Sudeep Sarkar
2023	J	`jnl`	Correction: Towards Automated Ethogramming: Cognitively-Inspired Event Segmentation for Streaming Wildlife Video Monitoring. Int. J. Comput. Vis. Ramy Mounir, Ahmed Shahabaz, Roman Gula, Jörn Theuerkauf, Sudeep Sarkar
2023	A*	`conf`	Long-term Monitoring of Bird Flocks in the Wild. IJCAI Kshitiz, Sonu Shreshtha, Ramy Mounir, Mayank Vatsa, Richa Singh, Saket Anand, Sudeep Sarkar, Sevaram Mali Parihar
2023	A*	`conf`	STREAMER: Streaming Representation Learning and Event Segmentation in a Hierarchical Manner. NeurIPS Ramy Mounir, Sujal Vijayaraghavan, Sudeep Sarkar
2023	J	`jnl`	Towards Automated Ethogramming: Cognitively-Inspired Event Segmentation for Streaming Wildlife Video Monitoring. Int. J. Comput. Vis. Ramy Mounir, Ahmed Shahabaz, Roman Gula, Jörn Theuerkauf, Sudeep Sarkar
2022	—	`conf`	Bayesian Tracking of Video Graphs Using Joint Kalman Smoothing and Registration. ECCV (35) Aditi Basu Bal, Ramy Mounir, Sathyanarayanan N. Aakur, Sudeep Sarkar, Anuj Srivastava
2021	—	`conf`	Spatio-Temporal Event Segmentation for Wildlife Extended Videos. CVIP (2) Ramy Mounir, Roman Gula, Jörn Theuerkauf, Sudeep Sarkar
2020	J	`jnl`	BCI-Controlled Hands-Free Wheelchair Navigation with Obstacle Avoidance. CoRR Ramy Mounir, Redwan Alqasemi, Rajiv V. Dubey
2020	J	`jnl`	Polyrhythmic Bimanual Coordination Training using Haptic Force Feedback. CoRR Ramy Mounir, Kyle Reed
2020	J	`jnl`	Temporal Event Segmentation using Attention-based Perceptual Prediction Model for Continual Learning. CoRR Ramy Mounir, Roman Gula, Jörn Theuerkauf, Sudeep Sarkar

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.