PUBLICATIONS

My research interest includes Machine Learning, Deep Learning, Artificial Intelligence (AI), Human-Computer Interaction, Bioinformatics, Neuroscience, and Blockchain Technology. Please check my Google Scholar and/or ResearchGate profile for an updated list of my research works. (This page is in Under Construction)

1. Sanaullah, A. R., Das, A., Das, A., Kabir, M. A., & Shu, K. (2022). Applications of machine learning for COVID-19 misinformation: a systematic review. Social Network Analysis and Mining, 12(1), 94. 

2. Samad, S., Ahmed, F., Naher, S., Kabir, M. A., Das, A., Amin, S., Mohammed, S., & Islam, S. (2022). Smartphone Apps for Tracking Food Consumption and Recommendations: Evaluating Artificial Intelligence-based Functionalities, Features and Quality of Current Apps. Intelligent Systems with Applications, 200103. 

3. Piya, F. L., Amin, S., Das, A., & Kabir, M. A. (2022). Impacts of COVID-19 on the Education, Life and Mental Health of Students in Bangladesh. International Journal of Environmental Research and Public Health, 19(2), 785. 

4. Das, A., Amin, S., Kabir, M. A., Hossain, S., & Islam, M. M. M. (2021). FoodCalorie: A Mobile Game to Learn Daily Calorie Intake Standard. International Journal of Game-Based Learning, 11(2), 61–81. 

1. Sultana, S., Pritha, S. T., Tasnim, R., Das, A., Akter, R., Hasan, S., Alam, S. M. R., Kabir, M. A., & Ahmed, S. I. (2022). ‘ShishuShurokkha’: A Transformative Justice Approach for Combating Child Sexual Abuse in Bangladesh. CHI Conference on Human Factors in Computing Systems, 1–23. 

2. Pondit, A., Rukon, M. E. A., Das, A., & Kabir, M. A. (2021). BenAV: a Bengali Audio-Visual Corpus for Visual Speech Recognition. The 28th International Conference on Neural Information Processing (ICONIP2021), 526–535. 

3. Das, A., Amin, S., & Hughes, J. A. (2021). Automatic Detection of Necrotizing Fasciitis: A Dataset and Early Results. 2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 1–8. 

4. Hasib, K. M., Showrov, M. I. H., & Das, A. (2020). Accidental Prone Area Detection in Bangladesh using Machine Learning Model. 2020 3rd International Conference on Computer and Informatics Engineering (IC2IE), 58–62. 

>> Projects

1. Human Face and Object Detection.
   Used: Convolution Neural Network (CNN), YoLo V5. Machine Learning project to detect the face and object using YoLo V5 model.

2. Online Exam Management System.
   Language: Laravel, HTML, Bootstrap4, mySQL. Online exam administration software. The author can download examination data in PDF format.

3.  Seven Segment Digital Watch.
   Digital Logic Device (DLD) Project. This project involved the creation of a watch compatible with digital gadgets.

4. Find Nearby Places.
   Language: Java, XML. The user is able to search for nearby supermarkets, hospitals, mosques, universities, colleges, eateries, etc.