T. Tamizh Chelvam

32 papers Journal 32
YearRankTypeTitle / Venue / Authors
2025 J jnl
Discret. Math. Algorithms Appl.
Vikas Kulal, Anil Khairnar, T. Tamizh Chelvam
2024 J jnl
AKCE Int. J. Graphs Comb.
Sivanesan Govindasamy, Selvaraj Chelliah, T. Tamizh Chelvam
2024 J jnl
AKCE Int. J. Graphs Comb.
T. Tamizh Chelvam
2023 J jnl
Discret. Math. Algorithms Appl.
Ajay Kumar, Lavanya Selvaganesh, T. Tamizh Chelvam
2023 J jnl
Discret. Math.
G. Arunkumar, Peter J. Cameron, T. Kavaskar, T. Tamizh Chelvam
2023 J jnl
Soft Comput.
E. Jesili, Krishnan Selvakumar, T. Tamizh Chelvam
2022 J jnl
Discret. Math. Algorithms Appl.
M. Sivagami, T. Tamizh Chelvam
2022 J jnl
AKCE Int. J. Graphs Comb.
K. Prabha Ananthi, T. Tamizh Chelvam
2022 J jnl
Graphs Comb.
Peter J. Cameron, R. Raveendra Prathap, T. Tamizh Chelvam
2022 J jnl
AKCE Int. J. Graphs Comb.
Angelina Y. M. Chin, Hamid Reza Maimani, Mohammad Reza Pournaki, M. Sivagami, T. Tamizh Chelvam
2021 J jnl
Soft Comput.
Thangaraj Asir, K. Mano, T. Tamizh Chelvam
2021 J jnl
AKCE Int. J. Graphs Comb.
Ajay Kumar, Lavanya Selvaganesh, Peter J. Cameron, T. Tamizh Chelvam
2021 J jnl
AKCE Int. J. Graphs Comb.
R. Raveendra Prathap, T. Tamizh Chelvam
2020 J jnl
AKCE Int. J. Graphs Comb.
T. Tamizh Chelvam, M. Balamurugan
2019 J jnl
AKCE Int. J. Graphs Comb.
T. Tamizh Chelvam, M. Sivagami
2018 J jnl
AKCE Int. J. Graphs Comb.
T. Tamizh Chelvam, Thangaraj Asir
2018 J jnl
Discret. Math. Algorithms Appl.
T. Tamizh Chelvam, Sekar Raja
2018 J jnl
Ars Comb.
Thangaraj Asir, T. Tamizh Chelvam
2018 J jnl
Discret. Math. Algorithms Appl.
T. Tamizh Chelvam, Krishnan Selvakumar, P. Subbulakshmi
2017 J jnl
Electron. Notes Discret. Math.
Thangaraj Asir, T. Tamizh Chelvam
2016 J jnl
AKCE Int. J. Graphs Comb.
T. Tamizh Chelvam, Thangaraj Asir
2015 J jnl
Discret. Math. Algorithms Appl.
T. Tamizh Chelvam, Krishnan Selvakumar
2015 J jnl
AKCE Int. J. Graphs Comb.
T. Tamizh Chelvam, Krishnan Selvakumar, V. Ramanathan
2013 J jnl
Australas. J Comb.
T. Tamizh Chelvam, N. Mohamed Rilwan, G. Kalaimurugan
2013 J jnl
Discret. Appl. Math.
T. Tamizh Chelvam, Sivagnanam Mutharasu
2013 J jnl
Discret. Math. Algorithms Appl.
T. Tamizh Chelvam, S. Nithya
2012 J jnl
Appl. Math. Lett.
T. Tamizh Chelvam, Sivagnanam Mutharasu
2012 J jnl
Discuss. Math. Graph Theory
Thangaraj Asir, T. Tamizh Chelvam
2012 J jnl
Discret. Math. Algorithms Appl.
T. Tamizh Chelvam, G. Kalaimurugan, Well Y. Chou
2011 J jnl
Discret. Math. Algorithms Appl.
T. Tamizh Chelvam, Thangaraj Asir
2010 J jnl
Ars Comb.
T. Tamizh Chelvam, G. S. Grace Prema
2004 J jnl
Int. J. Math. Math. Sci.
Renuka Devi V. Renuka V, D. Sivaraj, T. Tamizh Chelvam

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.