Added Organization Card

README.md

@@ -1,10 +1,48 @@
+# Articulated Research Institute for Scientific Excellence
+
+**ARISE** 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](https://ariserl.org)  ·  💼 [LinkedIn](https://bd.linkedin.com/company/ariserl24)  ·  📘 [Facebook](https://www.facebook.com/ariserl24)
+
+---
+
+## 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
+
 ---
-title: README
-emoji: 📚
-colorFrom: red
-colorTo: green
-sdk: static
-pinned: false
+
+## Selected Publications
+
+- **Transformer-Based Stock Movement Prediction for the Dhaka Stock Exchange** — *IJCIA 2023* · 120+ citations
+- **Temporal Coverage Bias in Emerging Market Financial Datasets** — *Under review, PLOS ONE* · arXiv preprint available
+- **DSE Coverage-Aware Clustering** — *Manuscript finalized, targeting Expert Systems with Applications*
+
 ---
 
-Edit this `README.md` markdown file to author your organization card.
+## 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](https://ariserl.org) or connect on [LinkedIn](https://bd.linkedin.com/company/ariserl24).