
Nabarun Halder
- Research Assistant, CCDS
Published at
UbiComp, IJCNN, HCII, IEEE Access
Research Interests
Machine Learning, Deep Learning, Natural Language Processing, Health Informatics, Human-Computer Interaction
Mustaqueem Alam, JM Sadik-Ul Islam Smaron, Mohammed Tashfiq Islam, Nabarun Halder, Ashraful Islam, M Ashraful Amin
2025 5th International Conference on Emerging Smart Technologies and Applications (eSmarTA)
IEEE, pp. 1-8

To meet the increasing demand for easy-to-use mental health applications, this study introduces the design and evaluation of an entirely new mobile application to support mental well-being and relaxation. The application was designed using User-Centered Design (UCD) principles and included numerous application features to facilitate mental health for a general audience, along with feedback from undergraduate participants. The important features were sorted out by conducting literature research and an initial assessment of current, existing solutions. The focus was therefore placed on user usability, supported by iterative user assessments, along with other key functionalities, enhancing developments in mental health app technology, and demonstrating the potential of our methodology in its design. The results revealed a strong user interest in AI-driven support within the app, moderate ratings for usability and monitoring features, and mixed reviews on other features, guiding future optimization and engagement strategies.

Published at
UbiComp, IJCNN, HCII, IEEE Access
Research Interests
Machine Learning, Deep Learning, Natural Language Processing, Health Informatics, Human-Computer Interaction

Assistant Professor
Department of Computer Science and Engineering
Independent University, Bangladesh (IUB)Published at
CHI, UIST, UbiComp, IJCNN, ICIP, HCII, ICDMW, BLP, IEEE Internet of Things Journal, JMIR, JMIR Human Factors, JMIR Formative Research, IEEE Access, Smart Agricultural Technology, Diabetes Research and Clinical Practice, PLOS ONE
Research Interests
Human-Computer Interaction, AI for Social Good, AI for Public Health, AI for Impact

Professor
+1 more affiliationDepartment of Information Sciences and Technology
George Mason University, USA
Published at
ACL, CHI, UbiComp, ECAI, WACV, PAKDD, IJCNN, ICPR, ICIP, HCII, CLEF, BLP, Scientific Reports, JMIR, IEEE Access, Smart Agricultural Technology, Frontiers in Computational Neuroscience, Diabetes Research and Clinical Practice, PLOS ONE
Research Interests
Machine Learning, Cognitive & Vision Science, Cybernetics, Surveillance & Security, ICT in Education, Health, & Agriculture, Human-Computer Interaction, Internet of Things, Robotics