About
Md Rafiul Biswas completed a PhD on vaccine-hesitancy surveillance from social media, and contributed to DAQIQ’s work on machine learning for type 2 diabetes classification, retinal image synthesis and diabetes prediction from retinal images.
Research focus: Natural language processing and AI for health
Projects
Co-author · 2022–2026CompletedHarnessing the power of artificial intelligence: predicting type 2 diabetes onset
Co-author · 2021–2024CompletedAain-D: AI for diabetic retinopathy from retinal images
Co-author · 2022–2025Completed
Talks
Publications with DAQIQ 4
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Khan S, Biswas MR, Shah Z
Artificial Intelligence in Healthcare (AIiH 2025), Lecture Notes in Computer Science 16038, Springer, 2025
Conference paperTalk and slidesLongitudinal analysis of risk factors associated with diabetes using multimodal data and machine learning
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Early prediction of type 2 diabetes using multimodal data and tabular transformers
Khan S, Biswas MR, Shah Z
3rd International Conference on Foundation and Large Language Models (FLLM 2025): 592–599, IEEE, 2025
Conference paperFree versionTalk and slidesLongitudinal analysis of risk factors associated with diabetes using multimodal data and machine learning
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A comparative evaluation of artificial intelligence-based models in retinal image synthesis
Mohsen F, Aldhubri A, Biswas MR, Shah Z
2nd International Conference on Foundation and Large Language Models (FLLM 2024): 51–57, 2024
Conference paperTalk and slidesAain-D: AI for diabetic retinopathy from retinal images
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Customized and automated machine learning-based models for diabetes type 2 classification
Mohsen F, Biswas MR, Ali H, Alam T, Househ M, Shah Z
Advances in Informatics, Management and Technology in Healthcare: 517–520, IOS Press, 2022
Short paperHarnessing the power of artificial intelligence: predicting type 2 diabetes onset