Innovating at the Intersection of AI, Healthcare, and Bio-Inspired Robotics
Located within the Department of Robotics and Mechatronics Engineering at the University of Dhaka, Cortex AI Research Group stands at the cutting edge of applied artificial intelligence in Biomedical AI, Multi-Modal Learning, Self-Supervised Learning, 3D Scene Understanding, and bio-inspired robotics.
Our Research Group proudly collaborates with the National Institute of Cardiovascular Diseases, Combined Military Hospital, and multiple departments within the University of Dhaka.
Join us as we innovate for a healthier and smarter future.
News
Featured Publications
Leveraging Generative Neural Networks for Accurate, Diverse, and Robust Nanoparticle Design
Rahman T, Tahmid A, Arman SE, et al.
- •Generative frameworks to explore robust nanoparticle configurations
- •Balances accuracy, diversity, and stability in design space
COVIDXception-Net: A Bayesian Optimization-Based Deep Learning Approach to Diagnose COVID-19 from X-Ray Images
Arman SE, Rahman S, Deowan SA
- •Xception-based transfer learning tuned with Bayesian optimization
- •Improves sensitivity at clinically relevant thresholds
BananaSqueezeNet: A very fast, lightweight convolutional neural network for the diagnosis of three prominent banana leaf diseases
Bhuiyan MA, Abdullah HM, Arman SE (Corresponding Author), et al.
- •Sub-20MB CNN optimized for edge deployment with strong accuracy
- •Real-time inference suitable for field diagnostics
PlantVillageVQA: A Visual Question Answering Dataset for Benchmarking Vision-Language Models in Plant Science
Preprint (arXiv); under review
- •New VQA benchmark for plant science grounded in expert-curated queries
- •Designed for evaluating generalist vision-language models
PlantCareNet: an advanced system to recognize plant diseases with dual-mode recommendations for prevention
Islam M, Azad AK, Arman SE, et al.
- •End-to-end system coupling disease recognition with prevention recommendations
- •Dual-mode guidance for proactive and reactive crop care
Deep Learning for Mango Leaf Disease Identification: A Vision Transformer Perspective
Bhuiyan MA, Arman SE, et al.
- •Applies Vision Transformers to identify mango leaf diseases with high accuracy
- •Demonstrates the effectiveness of attention mechanisms for fine-grained classification
Collaborations
National Institute of Cardiovascular Diseases (NICVD)
Collaborating on AI-powered medical imaging solutions for early diagnosis of cardiovascular conditions.
Combined Military Hospital (CMH)
Joint research on applying deep learning for medical diagnostics and patient care optimization.
Department of Botany, University of Dhaka
Research partnership on AI-based plant disease detection and climate impact assessment.
Department of Geology, University of Dhaka
Collaborative projects on environmental monitoring and geological data analysis using AI.
People
Founding Director & Principal Investigator
Academic Collaborators
Industrial Collaborators
Research Assistants
Tapodhir Karmakar Taton
MSc Student
Computer Vision
Samudra Jit Saha
BSc Student
Bio-inspired Robotics
Md Tashrif Uzzaman
BSc Student
Computer Vision
M.M Mahabub Morshed Prottoy
BSc Student
Computer Vision
MD Abid Chowdhury
BSc Student
Robotics
Nafiul Haque
BSc Student
Robotics
Join Our Lab
If You are Interested in joining the Cortex AI Research Group, we welcome motivated individuals who are passionate about research and innovation in the fields of AI, robotics, and biomedical applications.
Opportunities available for:
- Undergrad and PostGrad Students
- Visiting researchers and collaborators
Please reach out via the contact section below with your CV and research interests.
Contact
Cortex AI Research Group
Department of Robotics and Mechatronics Engineering
University of Dhaka
Dhaka, Bangladesh
Email: cortexai-lab@coretxai.du.ac.bd
PI Email: shifatearman@du.ac.bd