Works
Research projects across my degrees, and things I build on my own.
Academic research
Work from my PhD (KAU) and earlier degrees & faculty years at Daffodil International University.
PhD Dissertation — Applied AI for Rare Disease Diagnosis
Doctoral research in Data Science at King Abdulaziz University: machine-learning and LLM methods for rare-disease information extraction, knowledge representation and diagnostic support.
Rare Disease Diagnosis (ZebraMap / RDD)
PhD research at KAU: a multimodal rare-disease knowledge map with automated data aggregation and an LLM-enriched information-extraction pipeline for clinical decision support. Published in Diagnostics (MDPI).
Bengali NLP — Text Generation, Summarization & Fake-News Detection
A line of work on Bengali language technology: sequence-to-sequence sentence generation and abstractive summarization with RNN/LSTM, and multiclass fake-news detection (CLEF CheckThat!).
Applied Computer Vision for Health & Agriculture
Deep-learning image systems with real-world impact: COVID-19 face-mask compliance (YOLOv3), medicinal-plant recognition (MediNET), and crop-disease detection for Bangladeshi agriculture.
Bangla Sign Language Datasets (Ishara-Lipi / Ishara-Bochon)
First complete open-access datasets of isolated characters and digits for Bangla Sign Language, with CNN and capsule-network recognition models. Foundational, widely-cited work.
Bangla Handwritten Character Recognition (Ekush / BornoNet)
Large-scale databases and convolutional models for online/offline Bangla handwritten character recognition — among the most-cited resources for Bangla OCR.
Personal & open-source projects
Things I build for myself and release openly.
Bangla Sentiment Analysis
An experimental notebook and talk material on sentiment classification for Bangla text.
resourcemarks
A curated, openly-shared collection of learning resources and bookmarks for developers and researchers.
How to do Research — a guide for students
A practical, Bangla-language guide to getting started in research — later expanded as a blog series for undergraduate and graduate students.
Embedded Systems — the complete syllabus
An open, shared syllabus and learning materials for embedded systems, compiled for students and peers.