Sam M. Doesburg

14 papers Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Biological age from electroencephalographic activity could be decoupled from a gradual stochastic accumulation of pathologies over adulthood. BIBM Ostap Kalapun, Alexander Moiseev, George Medvedev, Sam M. Doesburg, Pengcheng Xi, Sylvain Moreno, Urs Ribary, Vasily A. Vakorin
2024	—	`conf`	Decoding Brain Age: A Self-Supervised Graph Neural Network Framework for EEG Analysis. IEEE SENSORS Zara Cook, Chengzong Zhao, Livia Murray, Jivan Kesan, Nabil Belacel, Sam M. Doesburg, George Medvedev, Vasily A. Vakorin, Pengcheng Xi
2024	—	`conf`	Enhancing Brain Age Prediction: A Generative AI Approach for EEG Machine Learning Models. I2MTC Zara Cook, Grant Sinha, Jack Wang, Chengzong Zhao, Nabil Belacel, Sam M. Doesburg, George Medvedev, Urs Ribary, Vasily A. Vakorin, Pengcheng Xi
2024	—	`conf`	Leveraging Large Language Models and Fuzzy Clustering for EEG Report Analysis. IEEE SENSORS Chengzong Zhao, Zara Cook, Livia Murray, Jivan Kesan, Nabil Belacel, Sam M. Doesburg, George Medvedev, Vasily A. Vakorin, Pengcheng Xi
2023	J	`jnl`	Byte-Pair Encoding for Classifying Routine Clinical Electroencephalograms in Adults Over the Lifespan. IEEE J. Biomed. Health Informatics Mykola Klymenko, Sam M. Doesburg, George Medvedev, Pengcheng Xi, Urs Ribary, Vasily A. Vakorin
2023	—	`conf`	Machine Learning Methods for Electroencephalogram-Based Age Prediction. SENSORS Grant Sinha, Nabil Belacel, Zhiyang Gu, Sam M. Doesburg, George Medvedev, Urs Ribary, Vasily A. Vakorin, Pengcheng Xi
2020	J	`jnl`	Multiple constrained minimum variance beamformer (MCMV) performance in connectivity analyses. NeuroImage Adonay S. Nunes, Alexander Moiseev, Nataliia Kozhemiako, Teresa Cheung, Urs Ribary, Sam M. Doesburg
2020	J	`jnl`	Neuromagnetic activation and oscillatory dynamics of stimulus-locked processing during naturalistic viewing. NeuroImage Adonay S. Nunes, Nataliia Kozhemiako, Alexander Moiseev, Robert A. Seymour, Teresa Cheung, Urs Ribary, Sam M. Doesburg
2019	J	`jnl`	Idiosyncratic organization of cortical networks in autism spectrum disorder. NeuroImage Adonay S. Nunes, Nicholas Peatfield, Vasily A. Vakorin, Sam M. Doesburg
2016	J	`jnl`	Detecting Mild Traumatic Brain Injury Using Resting State Magnetoencephalographic Connectivity. PLoS Comput. Biol. Vasily A. Vakorin, Sam M. Doesburg, Leodante da Costa, Rakesh Jetly, Elizabeth W. Pang, Margot J. Taylor
2016	J	`jnl`	Development of Network Synchronization Predicts Language Abilities. J. Cogn. Neurosci. Sam M. Doesburg, Keriann Tingling, Matt J. MacDonald, Elizabeth W. Pang
2016	J	`jnl`	Top-down alpha oscillatory network interactions during visuospatial attention orienting. NeuroImage Sam M. Doesburg, Nicolas Bedo, Lawrence M. Ward
2015	J	`jnl`	Minimum variance beamformer weights revisited. NeuroImage Alexander Moiseev, Sam M. Doesburg, Ruth E. Grunau, Urs Ribary
2011	J	`jnl`	Altered long-range alpha-band synchronization during visual short-term memory retention in children born very preterm. NeuroImage Sam M. Doesburg, Urs Ribary, Anthony T. Herdman, Steven P. Miller, Kenneth J. Poskitt, Alexander Moiseev, Michael F. Whitfield, Anne Synnes, Ruth E. Grunau

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.