Oluwagbenga Paul Idowu

12 papers Journal 6Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Profiling a Raspberry Pi-Based Motor Imagery Classification to Facilitate At-Home BCI for Children with Disabilities. EMBC Oluwagbenga Paul Idowu, Eli Kinney-Lang, Adam Gulamhusein, Brian Irvine, Adam Kirton, Hatem Abou-Zeid
2022	J	`jnl`	Organ segmentation from computed tomography images using the 3D convolutional neural network: a systematic review. Int. J. Multim. Inf. Retr. Ademola Enitan Ilesanmi, Taiwo Ilesanmi, Oluwagbenga Paul Idowu, Drew A. Torigian, Jayaram K. Udupa
2021	—	`conf`	A Low-rank Spatiotemporal based EEG Multi-Artifacts Cancellation Method for Enhanced ConvNet-DL's Motor Imagery Characterization. EMBC Oluwarotimi Williams Samuel, Mojisola Grace Asogbon, Ejay Nsugbe, Yanjuan Geng, Alberto López Delis, Yazan Ali Jarrah, Oluwagbenga Paul Idowu, Shixiong Chen, Peng Fang, Guanglin Li
2021	J	`jnl`	An integrated deep learning model for motor intention recognition of multi-class EEG Signals in upper limb amputees. Comput. Methods Programs Biomed. Oluwagbenga Paul Idowu, Ademola Enitan Ilesanmi, Xiangxin Li, Oluwarotimi Williams Samuel, Peng Fang, Guanglin Li
2021	J	`jnl`	Multiscale hybrid algorithm for pre-processing of ultrasound images. Biomed. Signal Process. Control. Ademola Enitan Ilesanmi, Oluwagbenga Paul Idowu, Utairat Chaumrattanakul, Stanislav S. Makhanov
2021	J	`jnl`	Neuro-evolutionary approach for optimal selection of EEG channels in motor imagery based BCI application. Biomed. Signal Process. Control. Oluwagbenga Paul Idowu, Oluwaremilekun Adelopo, Ademola Enitan Ilesanmi, Xiangxin Li, Oluwarotimi Williams Samuel, Peng Fang, Guanglin Li
2020	J	`jnl`	A new technique for the prediction of heart failure risk driven by hierarchical neighborhood component-based learning and adaptive multi-layer networks. Future Gener. Comput. Syst. Oluwarotimi Williams Samuel, Bin Yang, Yanjuan Geng, Mojisola Grace Asogbon, Sandeep Pirbhulal, Deogratias Mzurikwao, Oluwagbenga Paul Idowu, Tunde Joseph Ogundele, Xiangxin Li, Shixiong Chen, Ganesh R. Naik, Peng Fang, Fanghai Han, Guanglin Li
2020	—	`conf`	Bio-Inspired Algorithms for Optimal Feature Selection in Motor Imagery-Based Brain-Computer Interface EMBC Oluwagbenga Paul Idowu, Peng Fang, Guanglin Li
2020	—	`conf`	Efficient Classification of Motor Imagery using Particle Swarm Optimization-based Neural Network for IoT Applications. MetroInd4.0&IoT Oluwagbenga Paul Idowu, Oluwarotimi Williams Samuel, Xiangxin Li, Mojisola Grace Asogbon, Peng Fang, Guanglin Li
2020	J	`jnl`	Multiscale superpixel method for segmentation of breast ultrasound. Comput. Biol. Medicine Ademola Enitan Ilesanmi, Oluwagbenga Paul Idowu, Stanislav S. Makhanov
2018	—	`conf`	Electrophysiological Assessment of Peripheral Nerve Stimulation through Somatosensory Evoked Potential in Rat Hindlimb. CBS Oluwagbenga Paul Idowu, Jianping Huang, Yang Zhao, Guanglin Li, Peng Fang
2018	—	`conf`	Towards Control of EEG-Based Robotic Arm Using Deep Learning via Stacked Sparse Autoencoder. ROBIO Oluwagbenga Paul Idowu, Peng Fang, Xiangxin Li, Zeyang Xia, Jing Xiong, Guanglin Li

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.