2026 4 papers

CLAIR-Fin: An Adversarial Multi-Agent Framework for Claim-Level Verification and Adaptive Debate in Cross-Modal Financial QA
CLAIR-Fin: An Adversarial Multi-Agent Framework for Claim-Level Verification and Adaptive Debate in Cross-Modal Financial QA

Fatema Tuj Johora Faria, Mukaffi Bin Moin, Jubayer Al Mahmud, M. F. Mridha, Md. Alam Hossain

Research Area Multi-Agent SystemsMultimodal AIRetrieval-Augmented GenerationTrustworthy AIFinancial Question Answering
CLAIR-Fin: An Adversarial Multi-Agent Framework for Claim-Level Verification and Adaptive Debate in Cross-Modal Financial QA
CLAIR-Fin: An Adversarial Multi-Agent Framework for Claim-Level Verification and Adaptive Debate in Cross-Modal Financial QA

Fatema Tuj Johora Faria, Mukaffi Bin Moin, Jubayer Al Mahmud, M. F. Mridha, Md. Alam Hossain

Research Area Multi-Agent SystemsMultimodal AIRetrieval-Augmented GenerationTrustworthy AIFinancial Question Answering
TeachMateGPT: A Multi-Agent Knowledge-Grounded Framework for Pedagogical Assessment Generation from Science Curriculum Materials
TeachMateGPT: A Multi-Agent Knowledge-Grounded Framework for Pedagogical Assessment Generation from Science Curriculum Materials

Fatema Tuj Johora Faria, Mukaffi Bin Moin, M. F. Mridha, Jubayer Al Mahmud

Research Area Multi-Agent SystemsRetrieval-Augmented GenerationAI for EducationEducational AssessmentTrustworthy AI
TeachMateGPT: A Multi-Agent Knowledge-Grounded Framework for Pedagogical Assessment Generation from Science Curriculum Materials
TeachMateGPT: A Multi-Agent Knowledge-Grounded Framework for Pedagogical Assessment Generation from Science Curriculum Materials

Fatema Tuj Johora Faria, Mukaffi Bin Moin, M. F. Mridha, Jubayer Al Mahmud

Research Area Multi-Agent SystemsRetrieval-Augmented GenerationAI for EducationEducational AssessmentTrustworthy AI
ChannelGuard: Safe Models Do Not Compose into Safe Multi-Agent Systems
ChannelGuard: Safe Models Do Not Compose into Safe Multi-Agent Systems

Elias Hossain, Md Mehedi Hasan Nipu, Fatema Tuj Johora Faria, Tasfia Nuzhat Ornee, Maleeha Sheikh

Research Area AI SecurityMulti-Agent SystemsPrompt InjectionAdversarial AttacksTrustworthy AI
ChannelGuard: Safe Models Do Not Compose into Safe Multi-Agent Systems
ChannelGuard: Safe Models Do Not Compose into Safe Multi-Agent Systems

Elias Hossain, Md Mehedi Hasan Nipu, Fatema Tuj Johora Faria, Tasfia Nuzhat Ornee, Maleeha Sheikh

Research Area AI SecurityMulti-Agent SystemsPrompt InjectionAdversarial AttacksTrustworthy AI
Guiding Language Models to Be More Empathetic: Culturally Sensitive Mental Health Advice Generation Through Human-LLM Collaboration
Guiding Language Models to Be More Empathetic: Culturally Sensitive Mental Health Advice Generation Through Human-LLM Collaboration

Fatema Tuj Johora Faria, Mukaffi Bin Moin, Md. Mahfuzur Rahman, Khan Md Hasib, Jubayer Al Mahmud, M. F. Mridha

Research Area AI for Mental HealthLarge Language ModelsLow-Resource LanguagesCulturally Aware AITrustworthy AI
Guiding Language Models to Be More Empathetic: Culturally Sensitive Mental Health Advice Generation Through Human-LLM Collaboration
Guiding Language Models to Be More Empathetic: Culturally Sensitive Mental Health Advice Generation Through Human-LLM Collaboration

Fatema Tuj Johora Faria, Mukaffi Bin Moin, Md. Mahfuzur Rahman, Khan Md Hasib, Jubayer Al Mahmud, M. F. Mridha

Research Area AI for Mental HealthLarge Language ModelsLow-Resource LanguagesCulturally Aware AITrustworthy AI

2025 10 papers

BanglaMemeEvidence: A Multimodal Benchmark Dataset for Explanatory Evidence Detection in Bengali Memes
BanglaMemeEvidence: A Multimodal Benchmark Dataset for Explanatory Evidence Detection in Bengali Memes

Fatema Tuj Johora Faria, Mukaffi Bin Moin, Pronay Debnath, Md. Mahfuzur Rahman, Asif Iftekher Fahim, Faisal Muhammad Shah

Research Area Multimodal AIMeme AnalysisEvidence DetectionLow-Resource Languages
BanglaMemeEvidence: A Multimodal Benchmark Dataset for Explanatory Evidence Detection in Bengali Memes
BanglaMemeEvidence: A Multimodal Benchmark Dataset for Explanatory Evidence Detection in Bengali Memes

Fatema Tuj Johora Faria, Mukaffi Bin Moin, Pronay Debnath, Md. Mahfuzur Rahman, Asif Iftekher Fahim, Faisal Muhammad Shah

Research Area Multimodal AIMeme AnalysisEvidence DetectionLow-Resource Languages
MultiBanFakeDetect: Integrating Advanced Fusion Techniques for Multimodal Detection of Bangla Fake News in Under-Resourced Contexts
Published
MultiBanFakeDetect: Integrating Advanced Fusion Techniques for Multimodal Detection of Bangla Fake News in Under-Resourced Contexts

Fatema Tuj Johora Faria, Mukaffi Bin Moin, Zayeed Hasan, Md. Arafat Alam Khandaker, Niful Islam, Khan Md Hasib, M. F. Mridha

International Journal of Information Management Data Insights, Vol. 5, Issue 2, Article 100347

Research Area Multimodal LearningFake News DetectionMultimodal DatasetsComputer VisionAI for Social Good
MultiBanFakeDetect: Integrating Advanced Fusion Techniques for Multimodal Detection of Bangla Fake News in Under-Resourced Contexts
Published
MultiBanFakeDetect: Integrating Advanced Fusion Techniques for Multimodal Detection of Bangla Fake News in Under-Resourced Contexts

Fatema Tuj Johora Faria, Mukaffi Bin Moin, Zayeed Hasan, Md. Arafat Alam Khandaker, Niful Islam, Khan Md Hasib, M. F. Mridha

International Journal of Information Management Data Insights, Vol. 5, Issue 2, Article 100347

Research Area Multimodal LearningFake News DetectionMultimodal DatasetsComputer VisionAI for Social Good
BanglaCalamityMMD: A Comprehensive Benchmark Dataset for Multimodal Disaster Identification in the Low-Resource Bangla Language
Published
BanglaCalamityMMD: A Comprehensive Benchmark Dataset for Multimodal Disaster Identification in the Low-Resource Bangla Language

Fatema Tuj Johora Faria, Mukaffi Bin Moin, Busra Kamal Rafa, Swarnajit Saha, Md. Mahfuzur Rahman, Khan Md Hasib, M. F. Mridha

International Journal of Disaster Risk Reduction, Vol. 130, Article 105800

Research Area Computer VisionMultimodal LearningAI for Social GoodLow-Resource Languages
BanglaCalamityMMD: A Comprehensive Benchmark Dataset for Multimodal Disaster Identification in the Low-Resource Bangla Language
Published
BanglaCalamityMMD: A Comprehensive Benchmark Dataset for Multimodal Disaster Identification in the Low-Resource Bangla Language

Fatema Tuj Johora Faria, Mukaffi Bin Moin, Busra Kamal Rafa, Swarnajit Saha, Md. Mahfuzur Rahman, Khan Md Hasib, M. F. Mridha

International Journal of Disaster Risk Reduction, Vol. 130, Article 105800

Research Area Computer VisionMultimodal LearningAI for Social GoodLow-Resource Languages
PotatoGANs: Utilizing Generative Adversarial Networks, Instance Segmentation, and Explainable AI for Enhanced Potato Disease Identification and Classification
Published
PotatoGANs: Utilizing Generative Adversarial Networks, Instance Segmentation, and Explainable AI for Enhanced Potato Disease Identification and Classification

Fatema Tuj Johora Faria*, Mukaffi Bin Moin*, Mohammad Shafiul Alam*, Ahmed Al Wase, Md. Rabius Sani, Khan Md Hasib (* equal contribution)

11th IEEE International Conference on Sustainable Technology and Engineering (IEEE i-COSTE 2025)

Research Area Generative Adversarial NetworksComputer VisionExplainable AICrop Disease DetectionAI for Agriculture
PotatoGANs: Utilizing Generative Adversarial Networks, Instance Segmentation, and Explainable AI for Enhanced Potato Disease Identification and Classification
Published
PotatoGANs: Utilizing Generative Adversarial Networks, Instance Segmentation, and Explainable AI for Enhanced Potato Disease Identification and Classification

Fatema Tuj Johora Faria*, Mukaffi Bin Moin*, Mohammad Shafiul Alam*, Ahmed Al Wase, Md. Rabius Sani, Khan Md Hasib (* equal contribution)

11th IEEE International Conference on Sustainable Technology and Engineering (IEEE i-COSTE 2025)

Research Area Generative Adversarial NetworksComputer VisionExplainable AICrop Disease DetectionAI for Agriculture
Towards Robust Chain-of-Thought Prompting with Self-Consistency for Remote Sensing VQA: An Empirical Study Across Large Multimodal Models
Published
Towards Robust Chain-of-Thought Prompting with Self-Consistency for Remote Sensing VQA: An Empirical Study Across Large Multimodal Models

Fatema Tuj Johora Faria, Laith H. Baniata, Ahyoung Choi, Sangwoo Kang

Mathematics (MDPI), Vol. 13, Issue 18, Article 3046

Research Area Visual Question AnsweringRemote SensingLarge Multimodal ModelsLLM-as-a-Judge
Towards Robust Chain-of-Thought Prompting with Self-Consistency for Remote Sensing VQA: An Empirical Study Across Large Multimodal Models
Published
Towards Robust Chain-of-Thought Prompting with Self-Consistency for Remote Sensing VQA: An Empirical Study Across Large Multimodal Models

Fatema Tuj Johora Faria, Laith H. Baniata, Ahyoung Choi, Sangwoo Kang

Mathematics (MDPI), Vol. 13, Issue 18, Article 3046

Research Area Visual Question AnsweringRemote SensingLarge Multimodal ModelsLLM-as-a-Judge
Enhancing Bangla NLP Tasks with LLMs: A Study on Few-Shot Learning, RAG, and Fine-Tuning Techniques
Enhancing Bangla NLP Tasks with LLMs: A Study on Few-Shot Learning, RAG, and Fine-Tuning Techniques

Saidur Rahman Sujon, Ahmadul Karim Chowdhury, Fatema Tuj Johora Faria, Mukaffi Bin Moin, Faisal Muhammad Shah

Research Area Large Language ModelsRetrieval-Augmented GenerationLow-Resource Languages
Enhancing Bangla NLP Tasks with LLMs: A Study on Few-Shot Learning, RAG, and Fine-Tuning Techniques
Enhancing Bangla NLP Tasks with LLMs: A Study on Few-Shot Learning, RAG, and Fine-Tuning Techniques

Saidur Rahman Sujon, Ahmadul Karim Chowdhury, Fatema Tuj Johora Faria, Mukaffi Bin Moin, Faisal Muhammad Shah

Research Area Large Language ModelsRetrieval-Augmented GenerationLow-Resource Languages
Exploring Explainable AI Techniques for Improved Interpretability in Lung and Colon Cancer Classification
Published
Exploring Explainable AI Techniques for Improved Interpretability in Lung and Colon Cancer Classification

Mukaffi Bin Moin, Fatema Tuj Johora Faria, Swarnajit Saha, Busra Kamal Rafa, Mohammad Shafiul Alam

4th International Conference on Computing and Communication Networks (ICCCNet-2024)

Research Area Medical ImagingComputer VisionExplainable AICancer Detection
Exploring Explainable AI Techniques for Improved Interpretability in Lung and Colon Cancer Classification
Published
Exploring Explainable AI Techniques for Improved Interpretability in Lung and Colon Cancer Classification

Mukaffi Bin Moin, Fatema Tuj Johora Faria, Swarnajit Saha, Busra Kamal Rafa, Mohammad Shafiul Alam

4th International Conference on Computing and Communication Networks (ICCCNet-2024)

Research Area Medical ImagingComputer VisionExplainable AICancer Detection
Unraveling the Dominance of Large Language Models Over Transformer Models for Bangla Natural Language Inference: A Comprehensive Study
Published
Unraveling the Dominance of Large Language Models Over Transformer Models for Bangla Natural Language Inference: A Comprehensive Study

Fatema Tuj Johora Faria, Mukaffi Bin Moin, Asif Iftekher Fahim, Pronay Debnath, Faisal Muhammad Shah

4th International Conference on Computing and Communication Networks (ICCCNet-2024)

Research Area Natural Language InferenceLarge Language ModelsLow-Resource Languages
Unraveling the Dominance of Large Language Models Over Transformer Models for Bangla Natural Language Inference: A Comprehensive Study
Published
Unraveling the Dominance of Large Language Models Over Transformer Models for Bangla Natural Language Inference: A Comprehensive Study

Fatema Tuj Johora Faria, Mukaffi Bin Moin, Asif Iftekher Fahim, Pronay Debnath, Faisal Muhammad Shah

4th International Conference on Computing and Communication Networks (ICCCNet-2024)

Research Area Natural Language InferenceLarge Language ModelsLow-Resource Languages
Analyzing Diagnostic Reasoning of Vision–Language Models via Zero-Shot Chain-of-Thought Prompting in Medical Visual Question Answering
Published
Analyzing Diagnostic Reasoning of Vision–Language Models via Zero-Shot Chain-of-Thought Prompting in Medical Visual Question Answering

Fatema Tuj Johora Faria, Laith H. Baniata, Ahyoung Choi, Sangwoo Kang

Mathematics (MDPI), Vol. 13, Issue 14, Article 2322

Research Area Vision-Language ModelsMedical ImagingMedical Visual Question AnsweringExplainable AI
Analyzing Diagnostic Reasoning of Vision–Language Models via Zero-Shot Chain-of-Thought Prompting in Medical Visual Question Answering
Published
Analyzing Diagnostic Reasoning of Vision–Language Models via Zero-Shot Chain-of-Thought Prompting in Medical Visual Question Answering

Fatema Tuj Johora Faria, Laith H. Baniata, Ahyoung Choi, Sangwoo Kang

Mathematics (MDPI), Vol. 13, Issue 14, Article 2322

Research Area Vision-Language ModelsMedical ImagingMedical Visual Question AnsweringExplainable AI
SentimentFormer: A Transformer-Based Multimodal Fusion Framework for Enhanced Sentiment Analysis of Memes in Under-Resourced Bangla Language
Published
SentimentFormer: A Transformer-Based Multimodal Fusion Framework for Enhanced Sentiment Analysis of Memes in Under-Resourced Bangla Language

Fatema Tuj Johora Faria, Laith H. Baniata, Mohammad H. Baniata, Mohannad A. Khair, Ahmed Ibrahim Bani Ata, Chayut Bunterngchit, Sangwoo Kang

Electronics (MDPI), Vol. 14, Issue 4, Article 799

Research Area Multimodal AISentiment AnalysisMeme UnderstandingLow-Resource Languages
SentimentFormer: A Transformer-Based Multimodal Fusion Framework for Enhanced Sentiment Analysis of Memes in Under-Resourced Bangla Language
Published
SentimentFormer: A Transformer-Based Multimodal Fusion Framework for Enhanced Sentiment Analysis of Memes in Under-Resourced Bangla Language

Fatema Tuj Johora Faria, Laith H. Baniata, Mohammad H. Baniata, Mohannad A. Khair, Ahmed Ibrahim Bani Ata, Chayut Bunterngchit, Sangwoo Kang

Electronics (MDPI), Vol. 14, Issue 4, Article 799

Research Area Multimodal AISentiment AnalysisMeme UnderstandingLow-Resource Languages

2024 4 papers

Investigating the Predominance of Large Language Models in Low-Resource Bangla Language Over Transformer Models for Hate Speech Detection: A Comparative Analysis
Published
Investigating the Predominance of Large Language Models in Low-Resource Bangla Language Over Transformer Models for Hate Speech Detection: A Comparative Analysis

Fatema Tuj Johora Faria, Laith H. Baniata, Sangwoo Kang

Mathematics (MDPI), Vol. 12, Issue 23, Article 3687

Research Area Hate Speech DetectionLarge Language ModelsTransformer ModelsLow-Resource Languages
Investigating the Predominance of Large Language Models in Low-Resource Bangla Language Over Transformer Models for Hate Speech Detection: A Comparative Analysis
Published
Investigating the Predominance of Large Language Models in Low-Resource Bangla Language Over Transformer Models for Hate Speech Detection: A Comparative Analysis

Fatema Tuj Johora Faria, Laith H. Baniata, Sangwoo Kang

Mathematics (MDPI), Vol. 12, Issue 23, Article 3687

Research Area Hate Speech DetectionLarge Language ModelsTransformer ModelsLow-Resource Languages
Uddessho: An Extensive Benchmark Dataset for Multimodal Author Intent Classification in Low-Resource Bangla Language
Published
Uddessho: An Extensive Benchmark Dataset for Multimodal Author Intent Classification in Low-Resource Bangla Language

Fatema Tuj Johora Faria, Mukaffi Bin Moin, Md. Mahfuzur Rahman, Md Morshed Alam Shanto, Asif Iftekher Fahim, Md. Moinul Hoque

18th International Conference on Information Technology and Applications (ICITA 2024)

Research Area Multimodal AIAuthor Intent AnalysisSocial Media AnalysisLow-Resource Languages
Uddessho: An Extensive Benchmark Dataset for Multimodal Author Intent Classification in Low-Resource Bangla Language
Published
Uddessho: An Extensive Benchmark Dataset for Multimodal Author Intent Classification in Low-Resource Bangla Language

Fatema Tuj Johora Faria, Mukaffi Bin Moin, Md. Mahfuzur Rahman, Md Morshed Alam Shanto, Asif Iftekher Fahim, Md. Moinul Hoque

18th International Conference on Information Technology and Applications (ICITA 2024)

Research Area Multimodal AIAuthor Intent AnalysisSocial Media AnalysisLow-Resource Languages
Motamot: A Dataset for Revealing the Supremacy of Large Language Models Over Transformer Models in Bengali Political Sentiment Analysis
Published
Motamot: A Dataset for Revealing the Supremacy of Large Language Models Over Transformer Models in Bengali Political Sentiment Analysis

Fatema Tuj Johora Faria*, Mukaffi Bin Moin*, Rabeya Islam Mumu, Md Mahabubul Alam Abir, Abrar Nawar Alfy, Mohammad Shafiul Alam (* equal contribution)

The IEEE Region 10 Symposium (TENSYMP 2024)

Research Area Natural Language ProcessingLarge Language ModelsPolitical Sentiment AnalysisPolitical Dataset
Motamot: A Dataset for Revealing the Supremacy of Large Language Models Over Transformer Models in Bengali Political Sentiment Analysis
Published
Motamot: A Dataset for Revealing the Supremacy of Large Language Models Over Transformer Models in Bengali Political Sentiment Analysis

Fatema Tuj Johora Faria*, Mukaffi Bin Moin*, Rabeya Islam Mumu, Md Mahabubul Alam Abir, Abrar Nawar Alfy, Mohammad Shafiul Alam (* equal contribution)

The IEEE Region 10 Symposium (TENSYMP 2024)

Research Area Natural Language ProcessingLarge Language ModelsPolitical Sentiment AnalysisPolitical Dataset
Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images
Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images

Fatema Tuj Johora Faria, Mukaffi Bin Moin, Pronay Debnath, Asif Iftekher Fahim, Faisal Muhammad Shah

Journal of Visual Communication and Image Representation

Research Area Medical ImagingComputer VisionExplainable AIRetinal Image Analysis
Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images
Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images

Fatema Tuj Johora Faria, Mukaffi Bin Moin, Pronay Debnath, Asif Iftekher Fahim, Faisal Muhammad Shah

Journal of Visual Communication and Image Representation

Research Area Medical ImagingComputer VisionExplainable AIRetinal Image Analysis

2023 2 papers

Vashantor: A Large-Scale Multilingual Benchmark Dataset for Automated Translation of Bangla Regional Dialects to Bangla Language
Vashantor: A Large-Scale Multilingual Benchmark Dataset for Automated Translation of Bangla Regional Dialects to Bangla Language

Fatema Tuj Johora Faria, Mukaffi Bin Moin, Ahmed Al Wase, Mehidi Ahmmed, Md Rabius Sani, Tashreef Muhammad

Language Resources and Evaluation

Research Area Natural Language ProcessingMachine TranslationDialect DetectionLow-Resource Languages
Vashantor: A Large-Scale Multilingual Benchmark Dataset for Automated Translation of Bangla Regional Dialects to Bangla Language
Vashantor: A Large-Scale Multilingual Benchmark Dataset for Automated Translation of Bangla Regional Dialects to Bangla Language

Fatema Tuj Johora Faria, Mukaffi Bin Moin, Ahmed Al Wase, Mehidi Ahmmed, Md Rabius Sani, Tashreef Muhammad

Language Resources and Evaluation

Research Area Natural Language ProcessingMachine TranslationDialect DetectionLow-Resource Languages
Classification of Potato Disease with Digital Image Processing Technique: A Hybrid Deep Learning Framework
Published
Classification of Potato Disease with Digital Image Processing Technique: A Hybrid Deep Learning Framework

Fatema Tuj Johora Faria, Mukaffi Bin Moin, Ahmed Al Wase, Md Rabius Sani, Khan Md Hasib, Mohammad Shafiul Alam

2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC)

Research Area Computer VisionCrop Disease DetectionAI for Agriculture
Classification of Potato Disease with Digital Image Processing Technique: A Hybrid Deep Learning Framework
Published
Classification of Potato Disease with Digital Image Processing Technique: A Hybrid Deep Learning Framework

Fatema Tuj Johora Faria, Mukaffi Bin Moin, Ahmed Al Wase, Md Rabius Sani, Khan Md Hasib, Mohammad Shafiul Alam

2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC)

Research Area Computer VisionCrop Disease DetectionAI for Agriculture