Ehtesham Hashmi

22 papers B 1Misc 1Journal 16Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Securing large language models: A quantitative assurance framework approach. J. Inf. Secur. Appl. Sander Stamnes Karlsen, Muhammad Mudassar Yamin, Ehtesham Hashmi, Basel Katt, Mohib Ullah
2025	J	`jnl`	A Robust and Linguistically-Aware Hate Speech Detection System for Roman Urdu. ACM Trans. Asian Low Resour. Lang. Inf. Process. Ehtesham Hashmi, Hasnain Ahmad, Muhammad Tayyab Mazhar, Sule Yildirim Yayilgan, Mehtab Afzal, Sarang Shaikh
2025	J	`jnl`	A robust hybrid approach with product context-aware learning and explainable AI for sentiment analysis in Amazon user reviews. Electron. Commer. Res. Ehtesham Hashmi, Sule Yildirim Yayilgan
2025	J	`jnl`	AI-driven detection of hate speech on social media: a case study in the French language. Clust. Comput. Zahim Chared, Clément Jantet, Calliste Ravix, Robin Salmi, Ehtesham Hashmi, Sule Yildirim Yayilgan
2025	J	`jnl`	Eliciting Socio-Technical Research Needs on Countering Violence-Inducing and Hateful Speech in Cyberspace. Digit. Soc. Dante Della Vella, Yasas Senarath, Ehtesham Hashmi, Mohamed Abomhara, Sarang Shaikh, Torborg Igland, Carol Azungi Dralega, Sule Yildirim Yayilgan, Hemant Purohit, Rajendra Akerkar
2025	J	`jnl`	Enhancing misogyny detection in bilingual texts using explainable AI and multilingual fine-tuned transformers. Complex Intell. Syst. Ehtesham Hashmi, Sule Yildirim Yayilgan, Muhammad Mudassar Yamin, Mohib Ullah
2025	—	`conf`	Improving Text Classification by Fusing Linguistic and Semantic Features. ICACS Sarang Shaikh, Ehtesham Hashmi, Sule Yildirim Yayilgan, Mohamed Abomhara, Rajendra Akerkar
2025	J	`jnl`	Metalinguist: enhancing hate speech detection with cross-lingual meta-learning. Complex Intell. Syst. Ehtesham Hashmi, Sule Yildirim Yayilgan, Mohamed Abomhara
2025	J	`jnl`	Multi-domain text classification via linguistic and semantic feature integration. Soc. Netw. Anal. Min. Ehtesham Hashmi, Sarang Shaikh, Sule Yildirim Yayilgan, Mohamed Abomhara, Rajendra Akerkar, Mehtab Afzal
2025	J	`jnl`	Securing tomorrow: a comprehensive survey on the synergy of Artificial Intelligence and information security. AI Ethics Ehtesham Hashmi, Muhammad Mudassar Yamin, Sule Yildirim Yayilgan
2025	J	`jnl`	Self-supervised hate speech detection in Norwegian texts with lexical and semantic augmentations. Expert Syst. Appl. Ehtesham Hashmi, Sule Yildirim Yayilgan, Muhammad Mudassar Yamin, Mohamed Abomhara, Mohib Ullah
2025	J	`jnl`	Unlocking language barriers: Assessing pre-trained large language models across multilingual tasks and unveiling the black box with Explainable Artificial Intelligence. Eng. Appl. Artif. Intell. Muhamet Kastrati, Ali Shariq Imran, Ehtesham Hashmi, Zenun Kastrati, Sher Muhammad Daudpota, Marenglen Biba
2024	B	`conf`	A Self-Supervised Diffusion Framework For Facial Emotion Recognition. ICIP Saif Hassan, Mohib Ullah, Ali Shariq Imran, Ghulam Mujtaba, Muhammad Mudassar Yamin, Ehtesham Hashmi, Faouzi Alaya Cheikh, Azeddine Beghdadi
2024	J	`jnl`	Advancing Fake News Detection: Hybrid Deep Learning With FastText and Explainable AI. IEEE Access Ehtesham Hashmi, Sule Yildirim Yayilgan, Muhammad Mudassar Yamin, Subhan Ali, Mohamed Abomhara
2024	J	`jnl`	Applications of LLMs for Generating Cyber Security Exercise Scenarios. IEEE Access Muhammad Mudassar Yamin, Ehtesham Hashmi, Mohib Ullah, Basel Katt
2024	J	`jnl`	Augmenting sentiment prediction capabilities for code-mixed tweets with multilingual transformers. Soc. Netw. Anal. Min. Ehtesham Hashmi, Sule Yildirim Yayilgan, Sarang Shaikh
2024	—	`conf`	Benign Paroxysmal Positional Vertigo Disorders Classification Using Eye Tracking Data. AIAI (2) Thang-Anh-Quan Nguyen, Ehtesham Hashmi, Muhammad Mudassar Yamin, Azeddine Beghdadi, Faouzi Alaya Cheikh, Mohib Ullah
2024	—	`conf`	Combining Uncensored and Censored LLMs for Ransomware Generation. WISE (4) Muhammad Mudassar Yamin, Ehtesham Hashmi, Basel Katt
2024	J	`jnl`	Enhancing Multilingual Hate Speech Detection: From Language-Specific Insights to Cross-Linguistic Integration. IEEE Access Ehtesham Hashmi, Sule Yildirim Yayilgan, Ibrahim A. Hameed, Muhammad Mudassar Yamin, Mohib Ullah, Mohamed Abomhara
2024	Misc	`conf`	Hate Speech Detection in Code-Mixed Datasets Using Pretrained Embeddings and Transformers. FIT Tooba Sohail, Atiqa Aiman, Ehtesham Hashmi, Ali Shariq Imran, Sher Muhammad Daudpota, Sule Yildirim Yayilgan
2024	J	`jnl`	Multi-class hate speech detection in the Norwegian language using FAST-RNN and multilingual fine-tuned transformers. Complex Intell. Syst. Ehtesham Hashmi, Sule Yildirim Yayilgan
2024	—	`conf`	SMT: Self-supervised Approach for Multiple Animal Detection and Tracking. AIAI (2) Muhammad Moosa, Muhammad Mudassar Yamin, Ehtesham Hashmi, Azeddine Beghdadi, Ali Shariq Imran, Faouzi Alaya Cheikh, Mohib Ullah

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.