Artificial Intelligence & NLP Researcher
Khondoker Muntahin Hassan Ankur
Specializing in Low-Resource Language Processing, Transformer-based Deep Learning, and Explainable AI (XAI) to bridge computational linguistics with real-world impact.
Specializing in Low-Resource Language Processing, Transformer-based Deep Learning, and Explainable AI (XAI) to bridge computational linguistics with real-world impact.
I am a dedicated AI researcher deeply passionate about solving complex linguistic challenges, with a primary focus on Bangla Language Technologies. My research methodology merges state-of-the-art architectures with optimized, resource-constrained environments to make language systems universally accessible, secure, and robust.
Through empirical corpus creation, dataset annotation orchestration, and rigorous model benchmarking, I aim to push boundaries in sentiment syntax mapping, automated healthcare intelligence, and sociopolitical text understanding.
2026 IEEE International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE 2026) | Rajshahi, Bangladesh
28th International Conference on Computer and Information Technology (ICCIT 2025) | Cox's Bazar, Bangladesh
2025 IEEE 7th International Conference on Sustainable Technologies For Industry 5.0 (STI)
3rd International Conference on Big Data, IoT and Machine Learning (BIM 2025) | Dhaka International University, Bangladesh
Designed and built a robust multi-model classification parsing module optimized explicitly for tracking context matrices across local and political structural datasets.
Constructed fine-tuned deployment models across optimized frameworks using custom loss thresholds targeting low-resource morphological settings.
An end-to-end framework translating textual descriptions into localized semantic feature models mapping targeted crop pathogen classifications.
International Conference Paper Presentation Certificate
Big Data, IoT and Machine Learning Conference Certificate
Major Domain Focus: Machine Learning & Computational Linguistics
Extensive research profiling across sequence classification tasks and model transparency applications within low-resource text optimization.
Computational Linguistics Focus
Presenting state-of-the-art computational workflows.
Engaging in dialogues centered on model interpretability metrics.
I am highly open to research collaborations, joint dataset compilation initiatives, and computational engineering consultations.
Profiles: Khondoker Muntahin Hassan Ankur
Research Location: Bangladesh