Rahim Dehkharghani

19 papers Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	C-MOBRO: constrained multi-objective Battle Royale Optimization algorithm. Clust. Comput. Sait Alp, Rahim Dehkharghani, Taymaz Akan
2025	J	`jnl`	Exploring ISIS' Takfir Discourse: A BERT-Based Entity Level Sentiment Analysis Approach. SN Comput. Sci. Rahim Dehkharghani, Mehmet Nafiz Aydin, Süheda Yildirim
2025	J	`jnl`	Sarcasm detection on news headlines using transformers. J. Supercomput. Gizem Gümüsçekiçci, Rahim Dehkharghani
2024	J	`jnl`	MOBRO: multi-objective battle royale optimizer. J. Supercomput. Sait Alp, Rahim Dehkharghani, Taymaz Akan, Mohammad A. N. Bhuiyan
2024	J	`jnl`	Mental disorder and suicidal ideation detection from social media using deep neural networks. J. Comput. Soc. Sci. Özay Ezerceli, Rahim Dehkharghani
2022	J	`jnl`	Battle Royale Optimizer for solving binary optimization problems. Softw. Impacts Taymaz Akan, Saeid Agahian, Rahim Dehkharghani
2022	J	`jnl`	BinBRO: Binary Battle Royale Optimizer algorithm. Expert Syst. Appl. Taymaz Rahkar-Farshi, Saeid Agahian, Rahim Dehkharghani
2020	J	`jnl`	A novel approach to sentiment analysis in Persian using discourse and external semantic information. CoRR Rahim Dehkharghani, Hojjat Emami
2020	J	`jnl`	ComStreamClust: A communicative text clustering approach to topic detection in streaming data. CoRR Ali Najafi, Araz Gholipour-Shilabin, Rahim Dehkharghani, Ali Mohammadpur-Fard, Meysam Asgari-Chenaghlu
2020	J	`jnl`	SentiFars: A Persian Polarity Lexicon for Sentiment Analysis. ACM Trans. Asian Low Resour. Lang. Inf. Process. Rahim Dehkharghani
2018	J	`jnl`	Building Phrase Polarity Lexicons for Sentiment Analysis. Int. J. Interact. Multim. Artif. Intell. Rahim Dehkharghani
2017	J	`jnl`	Sentiment analysis in Turkish at different granularity levels. Nat. Lang. Eng. Rahim Dehkharghani, Berrin A. Yanikoglu, Yücel Saygin, Kemal Oflazer
2016	J	`jnl`	SentiTurkNet: a Turkish polarity lexicon for sentiment analysis. Lang. Resour. Evaluation Rahim Dehkharghani, Yücel Saygin, Berrin A. Yanikoglu, Kemal Oflazer
2015	—	`—`	Sentiment analysis in turkish: Resources and techniques (Türkçede duygu analizi: Kaynaklar ve teknikler) Rahim Dehkharghani
2014	J	`jnl`	Sentimental causal rule discovery from Twitter. Expert Syst. Appl. Rahim Dehkharghani, Hanefi Mercan, Arsalan Javeed, Yücel Saygin
2013	—	`conf`	SU-Sentilab : A Classification System for Sentiment Analysis in Twitter. SemEval@NAACL-HLT Gizem Gezici, Rahim Dehkharghani, Berrin A. Yanikoglu, Dilek Tapucu, Yücel Saygin
2012	—	`conf`	Adaptation and Use of Subjectivity Lexicons for Domain Dependent Sentiment Classification. ICDM Workshops Rahim Dehkharghani, Berrin A. Yanikoglu, Dilek Tapucu, Yücel Saygin
2009	—	`conf`	Automatic Alignment of Persian and English Lexical Resources: A Structural-Linguistic Approach. NLPCS Rahim Dehkharghani, Mehrnoush Shamsfard
2009	J	`jnl`	Mapping Persian Words to WordNet Synsets. Int. J. Interact. Multim. Artif. Intell. Rahim Dehkharghani, Mehrnoush Shamsfard

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.