Abdul Hafaz Ngah

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Unlocking the precursors of customer service experience using artificial intelligence-driven chatbot: calibration of gratification theory and expectation confirmation model. J. Enterp. Inf. Manag. Samar Rahi, Abdul Hafaz Ngah, Firas Alnasr, Mahmoud Alghizzawi, Rizwana Rasheed, Aamir Rashid
2025	J	`jnl`	Examining consumer behaviour towards continuance use of mobile shopping apps with the integration of expectation confirmation theory and flow theory. Int. J. Bus. Inf. Syst. Samar Rahi, Mahmoud Alghizzawi, Mehwish Ishtiaq, Abdul Hafaz Ngah, Ahmed Muneeb Mehta
2025	J	`jnl`	Examining the impact of artificial intelligence capability on dynamic capabilities, organizational creativity and organization performance in public organizations. J. Syst. Inf. Technol. Hamad Mohamed Almheiri, Syed Zamberi Ahmad, Khalizani Khalid, Abdul Hafaz Ngah
2025	J	`jnl`	Flying to your home yard: the mediation and moderation model of the intention to employ drones for last-mile delivery. Kybernetes Abdul Hafaz Ngah, Ramayah Thurasamy, Samar Rahi, Nurul Izni Kamalrulzaman, Aamir Rashid, Fei Long
2025	J	`jnl`	Sequential mediator and moderator model of intention for the implementation of chatbots in Malaysian government agencies. J. Decis. Syst. Ramizatunnisah Jais, Abdul Hafaz Ngah
2024	J	`jnl`	Understanding consumer behavior toward adoption of e-wallet with the moderating role of pandemic risk: an integrative perspective. Kybernetes Samar Rahi, Mahmoud Alghizzawi, Abdul Hafaz Ngah
2024	J	`jnl`	Unravelling the continue of subscribing Spotify Premium among university students: the extended UTAUT 2 model. Int. J. Bus. Inf. Syst. Muhammad Syafiq Mat Suhod, Abdul Hafaz Ngah, Samar Rahi
2023	J	`jnl`	A paradigm of blockchain and supply chain performance: a mediated model using structural equation modeling. Kybernetes Aamir Rashid, Syed Baber Ali, Rizwana Rasheed, Noor Aina Amirah, Abdul Hafaz Ngah
2023	J	`jnl`	Influence of electronic word of mouth on purchase intention of mobile phones through information quality: empirical evidence from Pakistan. Int. J. Bus. Inf. Syst. Abdul Majeed, Samr Rahi, Shrafat Ali Sair, Abdul Hafaz Ngah
2022	J	`jnl`	The sequential mediation model of students' willingness to continue online learning during the COVID-19 pandemic. Res. Pract. Technol. Enhanc. Learn. Abdul Hafaz Ngah, Nurul Izni Kamalrulzaman, Mohamad Firdaus Halimi Mohamad, Rosyati Abdul Rashid, Nor Omaima Harun, Nur Asma Ariffin, Noor Azuan Abu Osman
2020	J	`jnl`	Factors propelling the adoption of internet banking: the role of e-customer service, website design, brand image and customer satisfaction. Int. J. Bus. Inf. Syst. Samar Rahi, Mazuri Abd. Ghani, Abdul Hafaz Ngah

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.