Bangladesh University is pleased to announce that the research paper titled “Physiological Stress Detection from Wearable EDA and Skin Temperature Using Optimized Machine Learning: A Participant-Independent Cross-Dataset Framework” has been accepted for presentation and publication at the prestigious 2026 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON).

This achievement reflects the growing research excellence and innovation culture at Bangladesh University. The acceptance of this work at an IEEE international conference highlights the quality, originality, and practical significance of the research conducted by our talented students and faculty members.

Congratulations to Our Authors:

Md. Shafat
Student, Bangladesh University

Sumaiya Shahara Lopa
Student, Bangladesh University

Md. Mahinur Rashid
Student, Department of Computer Science & Engineering
Bangladesh University

Shamim Kabir Kazim
Student, Department of Computer Science & Engineering
Bangladesh University

Md. Badhon Sikder
Student, Department of Computer Science & Engineering
Bangladesh University

Md. Mamun
Lecturer, Department of Computer Science & Engineering
Bangladesh University

This research demonstrates the potential of Artificial Intelligence and Machine Learning in healthcare applications, particularly in developing intelligent systems for physiological stress detection using wearable sensor data.

The achievement showcases the strength of collaboration between students and faculty members in addressing real-world challenges through innovative research. Their dedication, hard work, and commitment to scientific excellence continue to elevate the reputation of Bangladesh University on the international stage.

We extend our sincere appreciation to everyone who contributed to this success and supported the research journey.

This accomplishment is more than a conference acceptance—it is a reflection of curiosity, innovation, teamwork, and academic excellence.

Paper Title:
Physiological Stress Detection from Wearable EDA and Skin Temperature Using Optimized Machine Learning: A Participant-Independent Cross-Dataset Framework

Conference:
2026 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON)

The journey continues.

More research. More innovation. More impact.

Congratulations to all the authors and contributors. We wish you continued success and many more achievements in the future.