Patrick R. Hof

14 papers Journal 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
NeuroImage
Michele Sorelli, Danila Di Meo, Samuel Bradley, Franco Cheli, Josephine Ramazzotti, Federica F. Caria, Laura Perego, Christophe Destrieux, Patrick R. Hof, Francesco Saverio Pavone, Giacomo Mazzamuto, Irene Costantini
2022 J jnl
NeuroImage
Laurel S. Morris, Marishka Mehta, Christopher Ahn, Morgan Corniquel, Gaurav Verma, Bradley Delman, Patrick R. Hof, Yael Jacob, Priti Balchandani, James W. Murrough
2019 J jnl
NeuroImage
Tingting Wu, Xingchao Wang, Qiong Wu, Alfredo Spagna, Jiaqi Yang, Changhe Yuan, Yanhong Wu, Zhixian Gao, Patrick R. Hof, Jin Fan
2016 J jnl
J. Comput. Neurosci.
Timothy H. Rumbell, Danel Draguljic, Aniruddha Yadav, Patrick R. Hof, Jennifer I. Luebke, Christina M. Weaver
2016 J jnl
Neuroinformatics
Anita E. Bandrowski, Matthew H. Brush, Jeffrey S. Grethe, Melissa A. Haendel, David N. Kennedy, Sean L. Hill, Patrick R. Hof, Maryann E. Martone, Maaike Pols, Serena S. Tan, Nicole L. Washington, Elena V. Zudilova-Seinstra, Nicole A. Vasilevsky
2016 J jnl
NeuroImage
Bin Xuan, Melissa-Ann Mackie, Alfredo Spagna, Tingting Wu, Yanghua Tian, Patrick R. Hof, Jin Fan
2015 J jnl
J. Comput. Neurosci.
Patrick J. Coskren, Jennifer I. Luebke, Doron Kabaso, Susan L. Wearne, Aniruddha Yadav, Timothy H. Rumbell, Patrick R. Hof, Christina M. Weaver
2015 J jnl
F1000Research
Anita E. Bandrowski, Matthew H. Brush, Jeffrey S. Grethe, Melissa A. Haendel, David N. Kennedy, Sean L. Hill, Patrick R. Hof, Maryann E. Martone, Maaike Pols, Serena S. Tan, Nicole L. Washington, Elena V. Zudilova-Seinstra, Nicole A. Vasilevsky
2014 J jnl
J. Cogn. Neurosci.
Jin Fan, Nicholas T. Van Dam, Xiaosi Gu, Xun Liu, Hongbin Wang, Cheuk Y. Tang, Patrick R. Hof
2011 J jnl
NeuroImage
Jin Fan, Xiaosi Gu, Xun Liu, Kevin G. Guise, Yunsoo Park, Laura Martin, Ashley de Marchena, Cheuk Y. Tang, Michael J. Minzenberg, Patrick R. Hof
2010 J jnl
NeuroImage
Devorah Segal, M. Mehmet Haznedar, Erin A. Hazlett, Jonathan J. Entis, Randall E. Newmark, Yuliya Torosjan, Jason S. Schneiderman, Joseph Friedman, Kingwai Chu, Cheuk Y. Tang, Monte S. Buchsbaum, Patrick R. Hof
2009 J jnl
NeuroImage
Jason S. Schneiderman, Monte S. Buchsbaum, M. Mehmet Haznedar, Erin A. Hazlett, Adam M. Brickman, Lina Shihabuddin, Jesse G. Brand, Yuliya Torosjan, Randall E. Newmark, Emily L. Canfield, Cheuk Y. Tang, Jonathan Aronowitz, Reshmi Paul-Odouard, Patrick R. Hof
2004 J jnl
Neural Comput.
Christina M. Weaver, Patrick R. Hof, Susan L. Wearne, W. Brent Lindquist
2002 J jnl
Neurocomputing
Armen Stepanyants, Patrick R. Hof, Dmitri B. Chklovskii

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.