Health Informatics Research Lab-HIRL

09/09/2026

On 08 September 2026, the Health Informatics Research Lab (HIRL) celebrated the remarkable achievement of Md. Rahad Islam Bhuiyan, an Alumni Research Fellow of HIRL, Department of Computer Science & Engineering, DIU, Daffodil International University, as he begins an exciting new academic journey in Canada 🇨🇦

🎓 Md. Rahad Islam Bhuiyan has secured a fully funded opportunity to pursue the Master of Applied Computing program at Wilfrid Laurier University, Canada.

This outstanding achievement reflects Rahad’s dedication, perseverance, and strong commitment to academic and research excellence. Securing a fully funded opportunity for graduate studies at an internationally recognized university is a significant milestone and a testament to his hard work and determination.

The event was graced by the presence of Dr. Sheak Rashed Haider Noori Sir, Professor and Head of the Department of Computer Science & Engineering, DIU, and Dr. Md. Zahid Hasan Sir, Associate Professor and Director of the Health Informatics Research Lab (HIRL).

His success is a proud moment for the Health Informatics Research Lab (HIRL) and the Department of Computer Science & Engineering, Daffodil International University. His journey will undoubtedly inspire fellow students and researchers to pursue greater academic and research opportunities around the world.

✨ Congratulations, Rahad! We wish you endless success, valuable experiences, and meaningful achievements throughout your graduate journey at Wilfrid Laurier University. May this new chapter bring you closer to your dreams and enable you to make impactful contributions to the field of computing.

You make us incredibly proud! 🎉🎓🇨🇦✨🌏

08/09/2026

🎉 Heartfelt Congratulations to Md. Rahad Islam Bhuiyan! 🎉

We are delighted to share that Md. Rahad Islam Bhuiyan, an Alumni Research Fellow of the Health Informatics Research Lab-HIRL, Department of Computer Science & Engineering, DIU, Daffodil International University, has secured a fully funded Master’s program at Wilfrid Laurier University, Canada 🇨🇦.

He will be pursuing the Master of Applied Computing program at Wilfrid Laurier University.

This remarkable achievement reflects Rahad’s dedication, perseverance, and commitment to academic and research excellence. Securing a fully funded opportunity for graduate studies at an international university is a significant milestone and a testament to his hard work and strong academic foundation.

His success is also a proud moment for Health Informatics Research Lab (HIRL) and the Department of Computer Science & Engineering, DIU, inspiring fellow students and researchers to pursue greater academic and research opportunities worldwide.

✨ Congratulations, Rahad! We wish you every success in your graduate studies and hope your journey at Wilfrid Laurier University brings outstanding achievements, valuable experiences, and meaningful contributions to the field of computing.

02/08/2026

🚀 HIRL Executive Member Recruitment 2026 is Now Open!

Passionate about research, AI, machine learning, data science, healthcare technology, or software development?

Join the Health Informatics Research Lab (HIRL) as an Executive Member and be part of impactful research and innovation.

📌 Eligibility
• CSE, DIU (Batch 232 to 251)
• 4th–8th Semester
• Strong interest in research and active participation

📝 Apply Now: https://cutt.ly/pyiPolV6

📅 Deadline: 3 August 2026

Take the next step in your research journey with HIRL!

19/07/2026

🎉 Heartfelt Congratulations to Irfan Ahmad Alvi! 🎉

We are delighted to share that Irfan Ahmad Alvi, a proud member of the Health Informatics Research Lab (HIRL), Department of Computer Science & Engineering, DIU, Daffodil International University, has been awarded a fully funded M.Sc. scholarship at the School of Communication and Artificial Intelligence, Nanjing Institute of Technology, China. 🇨🇳

This remarkable achievement reflects Irfan's dedication, perseverance, and passion for academic excellence and research. Earning a fully funded international scholarship is a significant milestone and a testament to his hard work, strong academic foundation, and commitment to pursuing advanced studies in Artificial Intelligence.

His success is also a proud moment for the Health Informatics Research Lab-HIRL and the Department of Computer Science & Engineering, DIU, demonstrating how a vibrant research environment, continuous mentorship, and collaborative learning empower students to achieve global academic recognition.

✨ Congratulations, Irfan! We wish you every success in your graduate studies and hope your journey at Nanjing Institute of Technology brings outstanding achievements, valuable experiences, and meaningful contributions to the field of Artificial Intelligence.

08/07/2026

Computer Vision & Deep Learning for Medical Data Analysis Bootcamp
Ready to train machines to see, analyze, and support real-world healthcare solutions? This bootcamp will guide you from core computer vision concepts to advanced deep learning architectures—designed specifically for medical image analysis, research, and practical applications.
📄 Course Outline: https://cutt.ly/ttxwyNG5
Key Information
💰 Registration Fee: 1500 BDT
⏳ Duration: 24+ Hours | 16 Classes | 8 Weeks
🕓 Class Duration: 1.5 Hours per Class
📅 Mode: Online
🔗 Registration Link: https://cutt.ly/Btxwyefk
⏰ Last Date of Registration: 20th July 2026
What You’ll Learn
✅ Image processing and feature extraction
✅ CNNs, U-Net, Transformers, and hybrid architectures
✅ Medical image classification and segmentation
✅ Research direction in medical imaging and health informatics
✅ Hands-on practice using real medical datasets
Bootcamp Includes
✅ Live interactive problem-solving sessions
✅ Assignments and guided projects (3 projects)
✅ Research article guidance
✅ Certificate of Completion
✅ Gifts for successful task completion 🎁
Prerequisites
✅ Basic knowledge of Python
✅ Familiarity with Machine Learning (recommended, not mandatory)
Who Should Join
✅ Students interested in AI, Deep Learning, and Medical Imaging
✅ Researchers and thesis-oriented learners
✅ Anyone aiming to work at the intersection of healthcare and AI

17/06/2026

11/06/2026

🎙️ Meet the Keynote Speakers of ICADHI 2026! 🌍

The IEEE International Congress on AI & Digital Health Innovations (ICADHI 2026) is organized by Department of Computer Science & Engineering, DIU, Health Informatics Research Lab-HIRL and IEEE DIU Student Branch. We are proud to bring together distinguished researchers, professors, and academic leaders from across the globe. Join us for a day of insightful keynote sessions exploring the latest developments in Artificial Intelligence, Digital Health, Biomedical Engineering, Data Science, and Emerging Technologies.

📅 Date: 15-16 June 2026
🌐 Online Keynote Sessions (15.06.2026)

🕤 9:30 AM – 10:20 AM
Dr. Tien Anh Tran
Assistant Professor, Marine Technology, Vietnam Maritime University, Vietnam
🔗 https://meet.google.com/btd-uoxi-hwn

🕥 10:30 AM – 11:20 AM
Dr. Nilanjan Dey
Professor, Department of CSE, Techno International New Town, India
🔗 https://meet.google.com/axq-zhrw-pdg

🕦 11:30 AM – 12:20 PM
Dr. Muhammad Enamul Hoque Chowdhury
Professor, Department of Electrical Engineering, Qatar University, Qatar
🔗 https://meet.google.com/exd-xnen-jwi

🕑 2:00 PM – 2:50 PM
Dr. M Shamim Kaiser
Professor, Institute of Information Technology, Jahangirnagar University, Bangladesh
🔗 https://meet.google.com/tos-whxh-mhr

🕒 3:00 PM – 3:50 PM
Dr. Jia Uddin
Professor, Department of AI and Big Data, Woosong University, South Korea
🔗 https://meet.google.com/ncd-iggn-ayr

🕓 4:00 PM – 4:50 PM
Dr. Mufti Mahmud
Distinguished Professor, King Fahd University of Petroleum and Minerals, Saudi Arabia
🔗 https://meet.google.com/rak-hgra-huo

🕖 7:00 PM – 7:50 PM
Dr. Md. Abdur Razzaque
Professor & Chairman, Department of CSE, University of Dhaka, Bangladesh
🔗 https://meet.google.com/tmy-bfdt-azf

🕗 8:00 PM – 8:50 PM
Dr. Xavier Fernando
Professor, Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, Canada
🔗 https://meet.google.com/aqg-pfhc-zxq

🕘 9:00 PM – 9:50 PM
Dr. Mohammad Shamsul Arefin
Professor & Former Dean, Department of CSE, CUET, Bangladesh
🔗 https://meet.google.com/siz-sjfc-faf

🏛️ Physical Keynote Sessions (16.06.2026)

🕥 10:30 AM – 11:20 AM
Dr. M. Sohel Rahman
Hon’ble Member, Bangladesh Public Service Commission; Professor, BUET
📍 International Conference Hall

🕝 2:30 PM – 3:20 PM
Dr. A B M Shawkat Ali
Hon’ble Vice-Chancellor, BUBT, Bangladesh
📍 International Conference Hall

✨ Be part of an inspiring journey where global experts share groundbreaking ideas and innovations shaping the future of AI and Digital Health.

📌 Save the date and join the sessions that interest you most!

09/06/2026

Alhamdulillah! 🌸

We are delighted to share our latest research publication titled:

📄 “A Novel Noise-Resilient Quantum-Classical Vision Transformer with Quantum State Tomography for High-Precision Lung Cancer Classification”

Lung cancer remains one of the leading causes of cancer-related deaths worldwide, making early and accurate diagnosis essential for improving patient outcomes. In this research, we introduced a Quantum-Enhanced Vision Transformer (QViT) that integrates variational quantum circuits with Vision Transformer architecture to improve lung cancer classification from CT images.

✨ Our proposed QViT-QAOA-D1 model achieved an impressive classification accuracy of 98.52% on 3,150 CT images, demonstrating the potential of quantum-enhanced artificial intelligence for next-generation medical diagnostics.

This research highlights:

🔹 Quantum-enhanced Vision Transformer (QViT) architecture

🔹 Integration of Variational Quantum Circuits (VQCs) within attention mechanisms

🔹 Quantum State Tomography (QST) for analyzing quantum state properties

🔹 Noise-resilient performance under realistic NISQ (Noisy Intermediate-Scale Quantum) conditions

🔹 High-precision lung cancer subtype classification from CT scans

The findings reveal that quantum-enhanced feature representations can significantly improve diagnostic performance while remaining compatible with current quantum hardware limitations, paving the way for future clinical applications of quantum machine learning.

We sincerely thank all researchers, collaborators, and well-wishers who supported us throughout this journey. We hope this work contributes to advancing healthcare technology and inspires further research at the intersection of quantum computing and medical imaging. 🤍

📖 Read the full paper here:
https://www.sciencedirect.com/science/article/pii/S0045790626003599

04/06/2026