🧑‍🔬 Hasan Murad

🏛️ Affiliations

🎓Chittagong University of Engineering & TechnologyChittagong · Bangladesh2025–2026 · 25 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Fired_from_NLP at AraFinNLP 2024: Dual-Phase-BERT - A Fine-Tuned Transformer-Based Model for Multi-Dialect Intent Detection in The Financial Domain for The Arabic Language (2024 · 3 citations)
   The paper addresses intent detection for Arabic banking queries across dialects, a setting where financial NLP resources are scarce compared with English.
2. NeuralNoodles@CHiPSAL 2026: Late-Fusion Multimodal Stacking for Nepali Meme Sentiment Classification (2026 · 2 citations)
   Meme sentiment comes from how the image and its embedded caption work together. This is hard to model for Nepali, where labelled multimodal data are scarce. The CUET team describes its entry to Subtask B of the CHiPSAL 2026 shared task, which asks for a Negative, Neutral or Positive label for each Nepali…
3. Team Oryu@CHiPSAL 2026: Integrating Text and Vision Transformers for Multimodal Hate Speech Detection in Memes (2026 · 2 citations)
   The paper describes Team Oryu's system for the multimodal hate speech subtask of the CHiPSAL 2026 shared task.
4. CUET_sstm at ArAIEval Shared Task: Unimodal (Text) Propagandistic Technique Detection Using Transformer-Based Model (2024 · 2 citations)
   The paper describes the winning entry in Task 1 of the ArAIEval shared task at ArabicNLP 2024. The task is to find propaganda in Arabic news paragraphs and tweets and to mark the exact text spans, using a set of 23 technique labels. The training data are highly imbalanced: about three quarters of the texts contain no…
5. CUET_InferX@DravidianLangTech 2026: Shared Task on Dialect Based Speech Recognition and Classification in Tamil (2026 · 1 citation)
   The CUET_InferX team describes its systems for the DravidianLangTech@ACL 2026 shared task on Tamil dialects.
6. CUET_SYNTHETICA@DravidianLangTech 2026: Multi Architecture Transformer Ensemble for Detecting Abusive Tamil Text Targeting Women (2026 · 1 citation)
   This shared-task paper addresses the binary classification of Tamil YouTube comments as Abusive or Non-Abusive, focusing on abuse aimed at women.
7. CUET_SYNTHETICA@DravidianLangTech 2026: Multilingual Transformer Based Hope Speech Detection for Coarse and Fine-Grained Classification in Tulu (2026 · 1 citation)
   This shared-task paper tackles hope speech detection in code-mixed Tulu. Tulu is a low-resource Dravidian language of coastal Karnataka, and YouTube users often write it mixed with English and Kannada. The authors entered both subtasks of the DravidianLangTech@ACL 2026 challenge:
8. Semantica@DravidianLangTech 2026: Vision-Language Models for Hierarchical Political Meme Classification in Tamil and Malayalam (2026 · 1 citation)
   The paper describes the Semantica team's entry in the DravidianLangTech@ACL 2026 shared task, which asks systems to label Tamil and Malayalam political memes at two levels of a hierarchy.
9. Team Oryu@DravidianLangTech 2026: A Multilingual Transformer Approach for Hope Speech Detection in Code-Mixed Tulu (2026 · 1 citation)
   This paper describes Team Oryu's submission to Task 1 of the DravidianLangTech 2026 shared task. The task asks systems to sort code-mixed Tulu YouTube comments into four coarse hope-tone categories, with each comment tagged as either Encouraging or Discouraging, or else as Blended Tone or Uninvolved. The comments mix…
10. TriVector@DravidianLangTech 2026: Abusive Tamil Text Detection on Social Media Using Lexicon-Augmented Transformers (2026 · 1 citation)
    This paper describes the TriVector team's entry to the DravidianLangTech@ACL 2026 shared task on detecting abusive Tamil comments aimed at women.
11. Still Loading@DravidianLangTech 2026: Telugu Prompt-Style Recovery using Multilingual Transformers (2026)
    This work addresses Telugu style classification in the Prompt-Style Recovery shared task at DravidianLangTech@ACL 2026.

🤝 Co-authors here

11 co-authors with a page, the most papers together first.

• Arpita Mallik ×2
• Joyeta Barua Moni ×2
• Md. Abtahee Kabir ×2
• Miftahul Jannat Rishta ×2
• Noore Tamanna Orny ×2
• Shiti Chowdhury ×2
• Sumaiya Zaman ×2
• Udoy Das ×2
• Anik Mahmud Shanto
• Oarisa Rebayet
• Ratnajit Dhar

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Workshop on Speech, Vision, and Language Technologies for Dravidian Languages ×7: Workshop on Speech, Vision, and Language Technologies for Dravidian Languages 2026 ×7
• Arabic Natural Language Processing Conference (ArabicNLP) ×2: ArabicNLP 2024 ×2
• workshop on Challenges in Processing South Asian Languages ×2: workshop on Challenges in Processing South Asian Languages 2026 ×2

🔗 Cited by

Papers of our library cite their works 13 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated 1 November 2026

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