Aaron D. Likens

23 papers A 4B 5Misc 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Axioms
Madhur Mangalam, Taylor J. Wilson, Joel H. Sommerfeld, Aaron D. Likens
2025 J jnl
Entropy
Madhur Mangalam, Aaron D. Likens
2023 J jnl
CoRR
Shifat Sarwar, Aaron D. Likens, Nick Stergiou, Spyridon Mastorakis
2023 J jnl
CoRR
Pubudu Wijesooriya, Aaron D. Likens, Nick Stergiou, Spyridon Mastorakis
2021 B conf
CogSci
Codrin Mironiuc, Travis J. Wiltshire, Aaron D. Likens, Stine Steen Høgenhaug, Marie Skaalum Bloch
2021 — conf
CCNC
Aaron D. Likens, Spyridon Mastorakis, Andreas Skiadopoulos, Jenny A. Kent, Md Washik Al Azad, Nick Stergiou
2021 J jnl
IEEE Commun. Mag.
Spyridon Mastorakis, Andreas Skiadopoulos, Susmit Shannigrahi, Aaron D. Likens, Boubakr Nour, Nicholas Stergiou
2021 J jnl
CoRR
Spyridon Mastorakis, Andreas Skiadopoulos, Susmit Shannigrahi, Aaron D. Likens, Boubakr Nour, Nicholas Stergiou
2019 — conf
AIED (1)
Kathryn S. McCarthy, Rod D. Roscoe, Aaron D. Likens, Danielle S. McNamara
2019 J jnl
IEEE Trans. Hum. Mach. Syst.
Mustafa Demir, Aaron D. Likens, Nancy J. Cooke, Polemnia G. Amazeen, Nathan J. McNeese
2018 A conf
LAK
Laura K. Allen, Aaron D. Likens, Danielle S. McNamara
2018 — conf
BIOSIGNALS
Bethany K. Bracken, Polemnia G. Amazeen, Aaron D. Likens, Mustafa Demir, Cameron T. Gibbons
2018 J jnl
Int. J. Artif. Intell. Educ.
Kathryn S. McCarthy, Aaron D. Likens, Amy M. Johnson, Tricia A. Guerrero, Danielle S. McNamara
2018 A conf
LAK
Aaron D. Likens, Kathryn S. McCarthy, Laura K. Allen, Danielle S. McNamara
2017 B conf
CogSci
Aaron D. Likens, Laura K. Allen, Danielle S. McNamara
2017 B conf
EDM
Kathryn S. McCarthy, Amy M. Johnson, Aaron D. Likens, Zachary Martin, Danielle S. McNamara
2017 Misc conf
FLAIRS
Laura Kristen Allen, Aaron D. Likens, Danielle S. McNamara
2017 A conf
LAK
Laura K. Allen, Cecile A. Perret, Aaron D. Likens, Danielle S. McNamara
2016 J jnl
Hum. Factors
Jamie C. Gorman, Melanie J. Martin, Terri A. Dunbar, Ronald H. Stevens, Trysha L. Galloway, Polemnia G. Amazeen, Aaron D. Likens
2016 J jnl
Int. J. Artif. Intell. Educ.
Erica L. Snow, Aaron D. Likens, Laura K. Allen, Danielle S. McNamara
2016 B conf
EDM
Laura K. Allen, Matthew E. Jacovina, Mihai Dascalu, Rod D. Roscoe, Kevin Kent, Aaron D. Likens, Danielle S. McNamara
2015 A conf
AIED
Erica L. Snow, Danielle S. McNamara, Matthew E. Jacovina, Laura K. Allen, Amy M. Johnson, Cecile A. Perret, Jianmin Dai, G. Tanner Jackson, Aaron D. Likens, Devin G. Russell, Jennifer L. Weston
2013 B conf
EDM
Erica L. Snow, Aaron D. Likens, G. Tanner Jackson, Danielle S. McNamara

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.