A. K. M. Amanat Ullah

14 papers A* 4B 1Journal 9

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Leveraging Head Movement for Navigating Off-Screen Content on Large Curved Displays. CHI A. K. M. Amanat Ullah, David Ahlström, Khalad Hasan
2026	J	`jnl`	Leveraging Head Movement for Navigating Off-Screen Content on Large Curved Displays. CoRR A. K. M. Amanat Ullah, David Ahlström, Khalad Hasan
2025	J	`jnl`	Exploring Pointer Enhancement Techniques for Target Selection on Large Curved Display. CoRR Dhruv Bihani, A. K. M. Amanat Ullah, Charles-Olivier Dufresne Camaro, William Delamare, Khalad Hasan
2025	A*	`conf`	Exploring Pointing and Confirmation Techniques for Teleportation Across Varying Elevations in Virtual Reality. ISMAR Bakdauren Narbayev, A. K. M. Amanat Ullah, Jaisie Sin, Patricia Lasserre, Khalad Hasan
2024	A*	`conf`	Exploring Bi-Manual Teleportation in Virtual Reality. VR Siddhanth Raja Sindhupathiraja, A. K. M. Amanat Ullah, William Delamare, Khalad Hasan
2024	J	`jnl`	Exploring Bi-Manual Teleportation in Virtual Reality. CoRR Siddhanth Raja Sindhupathiraja, A. K. M. Amanat Ullah, William Delamare, Khalad Hasan
2024	J	`jnl`	Exploring Pointer Enhancement Techniques for Target Selection on Large Curved Display. Proc. ACM Hum. Comput. Interact. Dhruv Bihani, A. K. M. Amanat Ullah, Charles-Olivier Dufresne Camaro, William Delamare, Pourang Irani, Khalad Hasan
2023	J	`jnl`	Combining machine learning and effective feature selection for real-time stock trading in variable time-frames. Int. J. Comput. Sci. Eng. A. K. M. Amanat Ullah, Fahim Imtiaz, Miftah Uddin Md Ihsan, Md. Golam Rabiul Alam, Mahbub Majumdar
2023	J	`jnl`	Exploring Users Pointing Performance on Large Displays with Different Curvatures in Virtual Reality. CoRR A. K. M. Amanat Ullah, William Delamare, Khalad Hasan
2023	J	`jnl`	Exploring Users Pointing Performance on Large Displays with Different Curvatures in Virtual Reality. IEEE Trans. Vis. Comput. Graph. A. K. M. Amanat Ullah, William Delamare, Khalad Hasan
2023	B	`conf`	Exploring Users' Pointing Performance on Virtual and Physical Large Curved Displays. VRST A. K. M. Amanat Ullah, William Delamare, Khalad Hasan
2023	J	`jnl`	Exploring Users' Pointing Performance on Virtual and Physical Large Curved Displays. CoRR A. K. M. Amanat Ullah, William Delamare, Khalad Hasan
2022	A*	`conf`	WriArm: Leveraging Wrist Movement to Design Wrist+Arm Based Teleportation in VR. ISMAR Sohan Chowdhury, A. K. M. Amanat Ullah, Nathan Bruce Pelmore, Pourang Irani, Khalad Hasan
2021	J	`jnl`	Combining Machine Learning Classifiers for Stock Trading with Effective Feature Extraction. CoRR A. K. M. Amanat Ullah, Fahim Imtiaz, Miftah Uddin Md Ihsan, Md. Golam Rabiul Alam, Mahbub Majumdar

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.