AI × Healthcare × Data × Research
CSE graduate and AI/ML researcher with experience in data annotation, data analysis, machine learning, deep learning, and Explainable AI. Research experience spans healthcare, biomedical AI, medical imaging, and graph-based learning, with an IEEE conference publication and a manuscript under review. Currently working as a Data Annotation Analyst at Rooya AI and Research Assistant at AMIRL.
Research
Deep learning for clinical imaging. Evidenced by the structural-MRI dementia classification manuscript under review at Neuroscience Informatics, and by the NeuroVision AI and RetinaVision AI systems.
Graph and transformer architectures applied to biological interaction data. Evidenced by X-GNN, published at IEEE ICECTE 2026, on human protein–protein interaction prediction.
Making model decisions inspectable, which is a precondition for clinical use rather than an add-on. Evidenced by Grad-CAM in NeuroVision AI and RetinaVision AI, SHAP in the Parkinson's work, and "Explainable" in the title of the published paper.
Research methods
Technical stack
Projects
Multimodal Cardiovascular AI for Echocardiography, CCTA, and ECG
A research prototype integrating trained AI models for echocardiography, CCTA, and 12 lead ECG analysis with explainability, evidence aggregation, and MedGemma assisted reporting.
0.9044
Dice
Echocardiography test Dice on the CAMUS held out split of 75 patients and 300 image/mask pairs.
0.8282
IoU
Echocardiography test IoU on the CAMUS held out split of 75 patients and 300 image/mask pairs.
0 stars on GitHub0 forks on GitHubPython
Explainable Brain MRI Classification
End-to-end deep learning system for three-class brain tumor classification using an ImageNet-pretrained EfficientNet-B0 model.
91.14%
Accuracy
90.27%
Macro F1
Explainable Retinal Image Analysis
End-to-end deep learning system for multi-label retinal disease classification, retinal vessel segmentation, and Grad-CAM explainability.
0.81210
ODIR validation ROC-AUC
0.55224
ODIR validation Macro F1
Experience
Rooya AI (opens in a new tab) · Grand Tower, ECB Chattar, Dhaka 1206, Bangladesh
Advanced Machine Intelligence Research Lab (AMIRL) (opens in a new tab)
Education
Bangladesh University of Business and Technology (BUBT) (opens in a new tab) · Rupnagar R/A, Mirpur-2, Dhaka 1216, Bangladesh
Begum Sheikh Fazilatun Nessa Mujib Govt. College
Dhaka · Science
Gatherings
Image 1 of 2
IEEE Photonics Society Bangladesh Chapter · Sky Lounge, Mirpur-1,Dhaka,Bangladesh
A productive evening with brilliant minds at the IEEE Photonics Society Bangladesh Chapter Executive Committee Meeting. The meeting brought together executive committee members to discuss upcoming…
Publications
Author list not yet recorded.
“X-GNN: An Explainable Ensemble Graph–Transformer Framework for Human Protein–Protein Interaction Prediction”, 2026 5th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), 2026.
Rajshahi, Bangladesh
@inproceedings{x-gnn-explainable-graph-transformer-protein-interaction,
title = {X-GNN: An Explainable Ensemble Graph–Transformer Framework for Human Protein–Protein Interaction Prediction},
booktitle = {2026 5th International Conference on Electrical, Computer \& Telecommunication Engineering (ICECTE)},
publisher = {IEEE},
year = {2026},
doi = {10.1109/ICECTE69292.2026.11429277},
}Generated from the fields above. Check against the publisher record before citing.
Leadership & engagement
QPAIN 2026
Leads the team, its volunteers and its initiatives.
IEEE Computer Society Bangladesh Chapter
CS BDC Student Activities Committee
The group worked on establishing new Computer Society student branch chapters; IEEE CS CUET SBC was successfully opened.
Recognition
Recipient
IEEE Computer Society (opens in a new tab)
Recipient of the IEEE Computer Society Richard E. Merwin Student Scholarship 2025, Spring Cycle. The scholarship recognizes promising students in computing and related fields based on academic achievement, leadership, professional involvement, and potential contribution to the computing community.
One of the top 20 recipients worldwide in the Spring Cycle
Selection
Open to research collaborations, PhD and MSc supervision enquiries, and applied AI work in healthcare.