About me
I am a graduate researcher at Hajee Mohammad Danesh Science and Technology University (HSTU), Bangladesh, working on reliable and interpretable AI for healthcare — specifically self-supervised representation learning for ECG analysis and explainable clinical prediction models. I am pursuing a research-based M.Sc. in Computer Science and Engineering (expected December 2026) under the supervision of Dr. Ashis Kumar Mandal, maintaining a CGPA of 3.65/4.00.
I am seeking a PhD position in Computer Science to advance trustworthy machine learning methods for clinical decision support, with a focus on building models that are not only accurate but also robust, interpretable, and safe for real-world deployment.
Research Interests
Primary:
- Trustworthy AI for Healthcare — Clinical Prediction, Explainable Medical AI, Healthcare Utilization & Cost Modeling
- Reliable Machine Learning — Self-Supervised Learning, Uncertainty Quantification, Robustness Under Distribution Shift
Broader Interests:
- Computer Vision, Natural Language Processing, Deep Learning, Transfer Learning
News
- [] Presented preliminary findings on self-supervised ECG representation learning at a research seminar.
- [] Prepared a manuscript on reliable arrhythmia classification for submission.
- [] Joined Elite Research Lab as a Student Researcher.
- [] Shared a research update on AI-based potato leaf disease detection.
- [] Began the M.Sc. in Computer Science and Engineering at HSTU.
Mentors & Collaborators
- Dr. Ashis Kumar Mandal — Professor, CSE, HSTU (M.Sc. Thesis Supervisor)