Kalanadhabhatta, M., Roy, S., Grant, T., Salekin, A., Rahman, T., & Bergen-Cico, D. (2023, September). Detecting PTSD Using Neural and Physiological Signals: Recommendations from a Pilot Study. In 2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII) (pp. 1-8). IEEE. doi: 10.1109/ACII59096.2023.10388200

Bismoy, M.I., Shahrear, F., Mitra, A., Bikash, D.M., Afrin, F., Roy, S. and Arif, H., 2022, November. Image Translation of Bangla and English Sign Language to Written Language using Convolutional Neural Network. In 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) (pp. 1-6). IEEE. doi: 10.1109/ICECCME55909.2022.9988088

Al Taawab, A., Rahman, M., Islam, Z., Mustari, N., Roy, S. and Alam, M.G.R., 2022, October. Detecting Self-Esteem Level and Depressive Indication Due to Different Parenting Style Using Supervised Learning Techniques. In 2022 9th International Conference on Behavioural and Social Computing (BESC) (pp. 1-6). IEEE. doi: 10.1109/BESC57393.2022.9995147

Roy, S. and Tahsin, L., 2022. Prediction of COVID-19 Severity Level Using XGBoost Algorithm: A Machine Learning Approach Based on SIR Epidemiological Model. In Intelligent Systems and Sustainable Computing (pp. 69-78). Springer, Singapore. doi: 10.1007/978-981-19-0011-2_7

Ahmed, S., Roy, S. and Alam, G.R., 2021, October. Benchmarking and Selecting Optimal Diabetic Retinopathy Detecting Machine Learning Model using Entropy and TOPSIS Method. In 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) (pp. 1-6). IEEE. doi: 10.1109/ICECCME52200.2021.9591153

Roy, S. , Nanjiba, S., & Chakrabarty, A. (2018, December). Bitcoin price forecasting using time series analysis. In 2018 21st International Conference of Computer and Information Technology (ICCIT) (pp. 1-5). IEEE. doi: 10.1109/ICCITECHN.2018.8631923