Bahram Mohammadi

16 papers A* 1A 1B 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DGRNet: Disagreement-Guided Refinement for Uncertainty-Aware Brain Tumor Segmentation. CoRR Bahram Mohammadi, Yanqiu Wu, Vu Minh Hieu Phan, Sam White, Minh-Son To, Jian Yang, Michael Sheng, Yang Song, Yuankai Qi
2026	J	`jnl`	Hierarchical Text-Guided Brain Tumor Segmentation via Sub-Region-Aware Prompts. CoRR Bahram Mohammadi, Ta Duc Huy, Afrouz Sheikholeslami, Qi Chen, Vu Minh Hieu Phan, Sam White, Minh-Son To, Xuyun Zhang, Amin Beheshti, Luping Zhou, Yuankai Qi
2026	J	`jnl`	Parameter-efficient action planning with large language models for vision-and-language navigation. Pattern Recognit. Bahram Mohammadi, Ehsan Abbasnejad, Yuankai Qi, Qi Wu, Anton van den Hengel, Javen Qinfeng Shi
2025	J	`jnl`	Learning to Reason and Navigate: Parameter Efficient Action Planning with Large Language Models. CoRR Bahram Mohammadi, Ehsan Abbasnejad, Yuankai Qi, Qi Wu, Anton van den Hengel, Javen Qinfeng Shi
2024	A*	`conf`	Augmented Commonsense Knowledge for Remote Object Grounding. AAAI Bahram Mohammadi, Yicong Hong, Yuankai Qi, Qi Wu, Shirui Pan, Javen Qinfeng Shi
2024	J	`jnl`	Augmented Commonsense Knowledge for Remote Object Grounding. CoRR Bahram Mohammadi, Yicong Hong, Yuankai Qi, Qi Wu, Shirui Pan, Javen Qinfeng Shi
2021	J	`jnl`	ClaRe: Practical Class Incremental Learning By Remembering Previous Class Representations. CoRR Bahram Mohammadi, Mohammad Sabokrou
2021	A	`conf`	G2D: Generate to Detect Anomaly. WACV Masoud PourReza, Bahram Mohammadi, Mostafa Khaki, Samir Bouindour, Hichem Snoussi, Mohammad Sabokrou
2021	J	`jnl`	Image/Video Deep Anomaly Detection: A Survey. CoRR Bahram Mohammadi, Mahmood Fathy, Mohammad Sabokrou
2021	J	`jnl`	The impact of early musical training on striatal functional connectivity. NeuroImage Floris Tijmen van Vugt, Karl Hartmann, Eckart Altenmüller, Bahram Mohammadi, Daniel S. Margulies
2020	J	`jnl`	G2D: Generate to Detect Anomaly. CoRR Masoud PourReza, Bahram Mohammadi, Mostafa Khaki, Samir Bouindour, Hichem Snoussi, Mohammad Sabokrou
2019	J	`jnl`	AutoIDS: Auto-encoder Based Method for Intrusion Detection System. CoRR Mohammed Gharib, Bahram Mohammadi, Shadi Hejareh Dastgerdi, Mohammad Sabokrou
2019	B	`conf`	End-to-End Adversarial Learning for Intrusion Detection in Computer Networks. LCN Bahram Mohammadi, Mohammad Sabokrou
2019	J	`jnl`	End-to-End Adversarial Learning for Intrusion Detection in Computer Networks. CoRR Bahram Mohammadi, Mohammad Sabokrou
2016	J	`jnl`	Structural neuroplasticity in expert pianists depends on the age of musical training onset. NeuroImage Lucía Vaquero, Karl Hartmann, Pablo Ripollés, Nuria Rojo, Joanna Sierpowska, Clément François, Estela Camara, Floris Tijmen van Vugt, Bahram Mohammadi, Amir Samii, Thomas F. Münte, Antoni Rodríguez-Fornells, Eckart Altenmüller
2015	J	`jnl`	Multiple brain networks underpinning word learning from fluent speech revealed by independent component analysis. NeuroImage Diana López-Barroso, Pablo Ripollés, Josep Marco-Pallarés, Bahram Mohammadi, Thomas F. Münte, Anne-Catherine Bachoud-Lévi, Antoni Rodríguez-Fornells, Ruth de Diego-Balaguer

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.