Who we
are.
A student-led AI research group focused on medical imaging, computer vision, and responsible machine learning.
Founded in 2024, Arché Intelligence Lab is a research-focused academic initiative dedicated to advancing artificial intelligence through innovation, scientific exploration, and real-world impact.
The lab works across areas such as machine learning, medical imaging, computer vision, and explainable AI — bringing together emerging technologies and collaborative research to build responsible, intelligent, and future-ready solutions.
The lab promotes rigorous research, open science, and impactful publications. Our goal is to contribute credible knowledge to the global academic community — work that holds up after the dataset changes and the spotlight moves on.
Common questions.
What is Arché Intelligence Lab?
Arché Intelligence Lab is a student-led artificial intelligence research group at American International University-Bangladesh (AIUB) in Dhaka, founded in 2024. It develops and publishes research in medical imaging AI, computer vision, explainable AI, and Bengali natural language processing.
What research areas does Arché Intelligence Lab focus on?
Arché works across four tracks: medical and diagnostic imaging (brain tumor, ophthalmic, and breast cancer classification), computer vision, explainable and trustworthy AI, and Bengali/Bangla NLP — often combined with self-supervised pre-training and federated learning so models generalize beyond a single hospital or dataset.
Where is Arché Intelligence Lab based?
The lab is based at American International University-Bangladesh (AIUB), 408/1 Kuratoli, Khilkhet, Dhaka 1229, Bangladesh.
Where has Arché Intelligence Lab published its research?
Arché has authored 24 peer-reviewed papers across IEEE, Elsevier, MDPI, Wiley, Springer, ACM, and arXiv — spanning medical image classification, explainable AI, federated learning, Bengali NLP, and cyber threat intelligence.
How can I collaborate with or join Arché Intelligence Lab?
Arché welcomes motivated students and researchers for collaboration and internships — reach the lab at archeintelligencelab@gmail.com or through the contact page. The team also shares curated datasets for non-commercial academic research on request.
To advance AI research that is transparent, ethical, and impactful — contributing credible knowledge to the global academic community.
Core values.
The beliefs that guide every project and publication — a working method we hold each other to, not a poster on a wall.
Transparency
Open science principles guide every project. Our methods, data, and results are shared with the community — not gated, not paraphrased, not after the embargo lifts.
Data-Driven Methodology
Every claim is backed by rigorous experimentation and statistical validation. Effect sizes, confidence intervals, and ablations — not just the headline number on the median split.
Ethical Research
We prioritize responsible AI development with careful consideration of societal impact — who the system helps, who it could harm, and how that balance shifts when it leaves the lab.
Explainability
AI systems should be interpretable. We build models whose decisions can be understood and trusted — by clinicians, by reviewers, and by the people the predictions are made about.
Reproducibility
Our experiments are designed to be fully reproducible — code, configuration, and seeds. If a result can't be re-run by someone else, it isn't a result yet.
Curious about a project, or want to work with us?
We welcome motivated students and researchers who share our commitment to rigorous, impactful AI work.