Faheem Khan

21 papers A 2B 1Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Clust. Comput.
Arshad Khan, Alan T. Litchfield, Abdulatif Alabdulatif, Faheem Khan
2025 — conf
SP (Workshops)
Yujing Zhou, Marc L. Jacquet, Robel Dawit, Skyler Fabre, Dev Sarawat, Faheem Khan, Madison Newell, Yongxin Liu, Dahai Liu, Hongyun Chen, Jian Wang, Huihui Wang
2025 J jnl
CoRR
Yujing Zhou, Marc L. Jacquet, Robel Dawit, Skyler Fabre, Dev Sarawat, Faheem Khan, Madison Newell, Yongxin Liu, Dahai Liu, Hongyun Chen, Jian Wang, Huihui Wang
2025 B conf
IWCMC
Yujing Zhou, Marc L. Jacquet, Robel Dawit, Skyler Fabre, Dev Sarawat, Faheem Khan, Madison Newell, Yongxin Liu, Dahai Liu, Hongyun Chen, Jian Wang, Huihui Wang
2025 J jnl
CoRR
Yujing Zhou, Marc L. Jacquet, Robel Dawit, Skyler Fabre, Dev Sarawat, Faheem Khan, Madison Newell, Yongxin Liu, Dahai Liu, Hongyun Chen, Jian Wang, Huihui Wang
2025 J jnl
IEEE Access
Muhammad Aman, Fuzhong Li, Syed Agha Hassnain Mohsan, Zahid Ullah Khan, Waqar Khan, Sajid Ullah Khan, Ziqi Han, Faheem Khan
2024 J jnl
PeerJ Comput. Sci.
Shujaat Ali, Muhammad Nadeem, Sheeraz Ahmed, Faheem Khan, Murad Khan, Abdullah Alharbi
2024 J jnl
Comput. Hum. Behav.
Inam Ullah, Farhad Ali, Habib Khan, Faheem Khan, Xiaoshan Bai
2020 J jnl
Sensors
Rosmi Abraham, Faheem Khan, Syed A. Bukhari, Qingxia Liu, Thomas Thundat, Hyun-Joong Chung, Chun Il Kim
2020 — conf
CCNC
Seong Kyu Leem, Faheem Khan, Sung Ho Cho
2020 J jnl
IEEE Trans. Instrum. Meas.
Mario A. Soriano, Faheem Khan, Rafiq Ahmad
2019 — ch.
Recent Trends and Advances in Wireless and IoT-enabled Networks
Sidra Razzaq, Abdul Wahid, Faheem Khan, Noor Ul Amin, Munam Ali Shah, Adnan Akhunzada, Ihsan Ali
2019 — ch.
Recent Trends and Advances in Wireless and IoT-enabled Networks
Sardar Mehboob Hussain, Abdul Wahid, Munam Ali Shah, Adnan Akhunzada, Faheem Khan, Noor Ul Amin, Saba Arshad, Ihsan Ali
2018 — conf
IEEE SENSORS
Thomas Thundat, Faheem Khan, Swathi Chaudhari, Kamalesh Chaudhari, Seokbeom Kim, Jungcul Lee
2018 J jnl
EAI Endorsed Trans. Mob. Commun. Appl.
Sahrish Khan Tayyaba, Adnan Akhunzada, Noor Ul Amin, Munam Ali Shah, Faheem Khan, Ihsan Ali
2018 J jnl
Int. J. Distributed Sens. Networks
Farhanda Javed, Samiullah Khan, Asfandyar Khan, Alweena Javed, Rohi Tariq, Matiullah, Faheem Khan
2018 J jnl
IEEE Access
Sibghat Ullah, Rahat Ullah, Adil Khan, Hafiz Ahmad Khalid, Qi Zhang, Qinghua Tian, Faheem Khan, Xiangjun Xin
2016 — —
Faheem Khan
2015 A conf
INTERSPEECH
Faheem Khan, Ben Milner
2013 A conf
INTERSPEECH
Faheem Khan, Ben Milner
2013 — conf
AVSP
Faheem Khan, Ben Milner

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.