Takeru Aoki - RankMe

12 papers Journal 6Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Saccade-Mimicking Grid Cell Network for Image Recognition. J. Adv. Comput. Intell. Intell. Informatics Yuichi Matsuda, Kazuma Niwa, Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2025	J	`jnl`	Adaptive and Interpretable Speed Control Rules for En Route Arrival Management Using Extended Learning Classifier System. IEEE Access Katsuhiro Sekine, Tomoaki Tatsukawa, Takeru Aoki, Kozo Fujii, Eri Itoh
2025	J	`jnl`	Responsible Gaussian Model: Matrix-Based Approximation of Gaussian Mixture Model. IEEE Access Wataru Obayashi, Takeru Aoki, Tomoaki Tatsukawa
2024	—	`conf`	Image Recognition Imitating Saccadic Eye Movement in Grid Cell Net. SCIS/ISIS Yuichi Matsuda, Kazuma Niwa, Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2023	J	`jnl`	Adaptive action-prediction cortical learning algorithm under uncertain environments. Int. J. Hybrid Intell. Syst. Kazushi Fujino, Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2022	—	`conf`	Adaptive Synapse Adjustment for Multivariate Cortical Learning Algorithm. SCIS/ISIS Kazushi Fujino, Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2022	—	`conf`	Synergistic Effect of Adaptive Synapse Arrangement and Column-based Decoder in Cortical Learning Algorithm. SCIS/ISIS Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2021	J	`jnl`	Adaptive Synapse Arrangement in Cortical Learning Algorithm. J. Adv. Comput. Intell. Intell. Informatics Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2021	—	`conf`	Double-Layered Cortical Learning Algorithm for Time-Series Prediction. BICT Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2020	—	`conf`	Column-based Decoder of Internal Prediction Representation in Cortical Learning Algorithms. SCIS/ISIS Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2020	J	`jnl`	Self-Structured Cortical Learning Algorithm by Dynamically Adjusting Columns and Cells. J. Adv. Comput. Intell. Intell. Informatics Sotetsu Suzugamine, Takeru Aoki, Keiki Takadama, Hiroyuki Sato
2018	—	`conf`	A Study on a Cortical Learning Algorithm Dynamically Adjusting Columns and Cells. SCIS&ISIS Sotetsu Suzugamine, Takeru Aoki, Keiki Takadama, Hiroyuki Sato

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.