My research interest includes Machine Learning, Deep Learning, Evolutionary Computation, Data Mining, Human-Computer Interaction, Data Science, Social Media Analysis, Game AI, Bioinformatics, Neuroscience, Educational & Health Games, and Multimedia Systems. Please check my Google Scholar and/or ResearchGate profile for an updated list of my research works.
Bishal, M. M., Chowdory, M. R. H., Das, A., & Kabir, M. A. (2024). COVIDHealth: A novel labeled dataset and machine learning-based web application for classifying COVID-19 discourses on Twitter. Heliyon. https://doi.org/10.1016/j.heliyon.2024.e34103
Pritha, S. T., Tasnim, R., Kabir, M. A., Amin, S., and Das, A. (2024). Smartphone apps for child sexual abuse education: gaps and design considerations. International Journal of Mobile Learning and Organisation, 18(1):101–134. https://doi.org/10.1504/IJMLO.2024.135124
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. https://doi.org/10.1007/s13278-022-00921-9
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. https://doi.org/10.1016/j.iswa.2022.200103
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. https://doi.org/10.3390/ijerph19020785
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. https://doi.org/10.4018/IJGBL.2021040104
Das, A., King, M., & Hughes, J. A. (2024, May). Exploring BERT-Based Classification Models for Detecting Phobia Subtypes: A Novel Tweet Dataset and Comparative Analysis. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (pp. 6894-6908). https://aclanthology.org/2024.lrec-main.603
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. https://doi.org/10.1145/3491102.3517543
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. https://doi.org/10.1007/978-3-030-92270-2_45
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. https://doi.org/10.1109/CIBCB49929.2021.9562936
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. https://doi.org/10.1109/IC2IE50715.2020.9274581