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Articulated Research Institute for Scientific Excellence
A.R.i.S.E. is an applied machine learning research lab based in Bangladesh. We work wherever rigorous ML methodology meets real-world complexity — from financial markets and satellite imagery to regional languages, medical imaging, explainability, and beyond.
Our research spans the full arc from early-stage ideas to published results. Some projects are foundational explorations; others carry peer-reviewed contributions and public datasets. What ties them together is a commitment to methodologically sound, reproducible science — with a focus on problems that matter in South Asian and low-resource contexts.
We are affiliated with the Department of Computer Science and Engineering, Southeast University, Bangladesh.
🌐 ariserl.org · 💼 LinkedIn · 📘 Facebook
What We Work On
Our portfolio is intentionally broad. Past and ongoing work has touched:
- Financial ML — structural break detection, coverage bias, regime analysis, and time series forecasting in emerging markets
- Remote Sensing — satellite and aerial image analysis
- Regional Language NLP — dialect-aware datasets and models for Bengali and related varieties
- Medical & Biomedical Imaging — retinal disease detection, ocular health, and physics-informed vision
- Explainable AI — gradient-based and attention-based interpretability on image models
- Multimodal & Fusion Architectures — combining heterogeneous inputs for robust prediction
This list grows. If something is in our pipeline, it will eventually surface here.
What You'll Find Here
- Datasets — annotated and benchmark datasets released alongside our publications
- Model Checkpoints — fine-tuned and adapter-based models from our research pipelines
- Reproducibility Artifacts — configs, notebooks, and scripts to reproduce key results
Get in Touch
We welcome collaboration with researchers working on applied ML problems, particularly in low-resource, domain-specific, or underrepresented settings.
Reach us at ariserl.org or connect on LinkedIn.