Research & Development Lab · Sylhet, Bangladesh

DeepNet Lab — Empowering intelligence for tomorrow’s decisions

Established in 2024, DeepNet Lab advances the frontiers of machine learning, deep learning and artificial intelligence. Our researchers turn theory into practical solutions for large language models, natural language processing, computer vision, large-scale optimization and beyond.

0

Researchers

0

Publications

0

Citations

0

Research areas

About the lab

AI research for the communities it serves

DeepNet Lab is a research laboratory working at the forefront of artificial intelligence in Bangladesh. We were founded to close the gap in AI research for low-resource languages, and we build technology that serves diverse communities.

Our multidisciplinary team of researchers, engineers and students works together on natural language processing, computer vision, machine learning theory and responsible AI.

  • Founded 2024
  • Sylhet, Bangladesh

Low-resource languages

AI research for Bangla and other underrepresented languages.

Research at the frontier

New approaches in NLP, computer vision and machine learning, tested rigorously.

Real-world impact

Work on agriculture, health and language that makes AI useful where it is needed.

Responsible AI

Systems that are fair, transparent and sensitive to the cultures they serve.

What we work on

Research areas

The questions that drive the lab, from the foundations of learning to the languages and images of Bangladesh.

Machine Learning Foundations

New optimization algorithms, meta-learning strategies and models that stay robust under distribution shift.

  • Optimization
  • Meta-learning
  • Robustness
Explore

Deep Learning Architectures

Efficient transformer variants, graph neural networks and multimodal representation learning.

  • Efficient transformers
  • Graph neural networks
  • Multimodal learning
Explore

Natural Language Processing

Language technology for low-resource languages such as Bangla — translation, alignment and prompt engineering.

  • Low-resource languages
  • Bangla NLP
  • Machine translation
Explore

Computer Vision

Vision transformers and deep learning for medical and agricultural imaging.

  • Vision transformers
  • Medical imaging
  • Agricultural imaging
Explore

Large Language Models

The capabilities, alignment and ethical considerations of large language models.

  • Alignment
  • Evaluation
  • Responsible AI
Explore

Our people

The people behind the work

117 researchers, mentors and students across 4 roles — at every stage of a research career.

Meet the whole team

  • 1

    Principal Investigator

  • 2

    Investigator

  • 12

    Research Assistant

  • 102

    Undergraduate Research Assistant

and 105 more on the team page

Recent work

Latest publications

Peer-reviewed papers and preprints from the lab, newest first.

All publications
Conference2026

Acute Lymphoblastic Leukemia Detection Using Deep Learning Architecture and Advanced Feature Engineering Techniques

2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)

Read the paper
Journal2026

Advancing Rice Leaf Disease Detection using Vision Transformer on Real Datasets from Bangladesh

International Journal of Computer Applications

Read the paper
Journal2026

The Role of Social Media in Sustaining and Organizing Movements: A Case Study of July Movement in Bangladesh

Lecture notes in networks and systems

Read the paper

From the lab

Latest news

Achievements, events and announcements.

All news

Build the future of AI with us

We welcome collaborators, visiting researchers and students who want to work on problems that matter.

info@deepnetlab.com