Adnan Muhammad Shah

19 papers Journal 14Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An information retrieval language model-based zero- and few-shot learning for propaganda detection in social media content. Knowl. Inf. Syst. Pir Noman Ahmad, Adnan Muhammad Shah, KangYoon Lee
2026	J	`jnl`	Misinformation detection on online social networks using pretrained language models. Inf. Process. Manag. Pir Noman Ahmad, Adnan Muhammad Shah, KangYoon Lee, Wazir Muhammad
2025	J	`jnl`	Enhanced Propaganda Detection in Public Social Media Discussions Using a Fine-Tuned Deep Learning Model: A Diffusion of Innovation Perspective. Future Internet Pir Noman Ahmad, Adnan Muhammad Shah, KangYoon Lee
2025	J	`jnl`	Optimizing slogan classification in ubiquitous learning environment: A hierarchical multilabel approach with fuzzy neural networks. Knowl. Based Syst. Pir Noman Ahmad, Adnan Muhammad Shah, KangYoon Lee, Rizwan Ali Naqvi, Wazir Muhammad
2024	J	`jnl`	A text analytics approach for mining public discussions in online cancer forum: Analysis of multi-intent lung cancer treatment dataset. Int. J. Medical Informatics Adnan Muhammad Shah, KangYoon Lee, Abdullah Hidayat, Aaron D. Falchook, Wazir Muhammad
2023	J	`jnl`	Investigating the effect of service feedback and physician popularity on physician demand in the virtual healthcare environment. Inf. Technol. People Adnan Muhammad Shah, Wazir Muhammad, KangYoon Lee
2023	—	`conf`	Propaganda Detection in Public Covid-19 Discussion on Social Media. PACIS Pir Noman Ahmad, Adnan Muhammad Shah, KangYoon Lee
2022	—	`conf`	Designing an IT-Based System for Optimizing Lung Cancer Management. AMCIS Adnan Muhammad Shah, Wazir Muhammad, Ali Ahmed, Saad Bin Saeed Ahmed
2022	J	`jnl`	The Role of Emotions Intensity in Helpfulness of Online Physician Reviews. Intell. Autom. Soft Comput. Adnan Muhammad Shah, KangYoon Lee
2021	J	`jnl`	A multi-modal approach to predict the strength of doctor-patient relationships. Multim. Tools Appl. Adnan Muhammad Shah, Xiangbin Yan, Salim Khan, Waqas Khurrum, Qasim Raza Khan
2021	J	`jnl`	Exploring Important Aspects of Service Quality While Choosing a Good Doctor: A Mixed-Methods Approach. Int. J. Heal. Inf. Syst. Informatics Adnan Muhammad Shah, Xiangbin Yan, Syed Asad Ali Shah, Rizwan Ullah
2021	J	`jnl`	Mining topic and sentiment dynamics in physician rating websites during the early wave of the COVID-19 pandemic: Machine learning approach. Int. J. Medical Informatics Adnan Muhammad Shah, Xiangbin Yan, Abdul Qayyum, Rizwan Ali Naqvi, Syed Jamal Shah
2021	J	`jnl`	What patients like or dislike in physicians: Analyzing drivers of patient satisfaction and dissatisfaction using a digital topic modeling approach. Inf. Process. Manag. Adnan Muhammad Shah, Xiangbin Yan, Samia Tariq, Mudassar Ali
2020	—	`conf`	Exploring the Impact of Review and Service-related Signals on Online Physician Review Helpfulness: A Multi-Methods Approach. PACIS Adnan Muhammad Shah, Xiangbin Yan, Salim Khan, Syed Jamal Shah
2020	J	`jnl`	Mining patient opinion to evaluate the service quality in healthcare: a deep-learning approach. J. Ambient Intell. Humaniz. Comput. Adnan Muhammad Shah, Xiangbin Yan, Syed Asad Ali Shah, Gulnara Mamirkulova
2019	J	`jnl`	Exploring the impact of online information signals in leveraging the economic returns of physicians. J. Biomed. Informatics Adnan Muhammad Shah, Xiangbin Yan, Syed Asad Ali Shah, Syed Jamal Shah, Gulnara Mamirkulova
2018	J	`jnl`	Face ID: an innovative biometric approach to control sales personnel production deviance. Int. J. Inf. Syst. Chang. Manag. Syed Jamal Shah, Zhang Li, Adnan Muhammad Shah, Rizwan Ullah
2018	—	`conf`	Impact of Mobile Electronic Word of Mouth (EWOM) on Consumers Purchase Intentions in the Fast-Causal Restaurant Industry in Indonesia. HICSS Xiangbin Yan, Adnan Muhammad Shah, Li Zhai, Salim Khan, Syed Asad Ali Shah
2018	—	`conf`	Use of Sentiment Mining and Online NMF for Topic Modeling Through the Analysis of Patients Online Unstructured Comments. ICSH Adnan Muhammad Shah, Xiangbin Yan, Syed Jamal Shah, Salim Khan

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.

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.