JuteBangla: A Comparative Study on Jute Yield Prediction using Supervised Machine Learning Approach based on Bangladesh Perspective. - Shahriar Mamun; Silvia Kh Shuvessa; Abdullah Al Ryan; Nusrat Nabi; Md. Sazzadur Ahamed (ICCCNT, 2022)

An Approach using Machine Learning to Determine Bangladeshi Jute Yield relying on Weather Patterns. - Silvia Kh Shuvessa; Abdullah Al Ryan; Shahriar Mamun; Nusrat Nabi; Md. Sazzadur Ahamed (ICCTA, 2022)

Forecasting Tea Production in the Context of Bangladesh Utilizing Machine Learning. - Abdullah Al Ryan; Silvia Kh Shuvessa; Shahriar Mamun; Habiba Dewan Arpita; Md. Sazzadur Ahamed (ICCCNT, 2023)

FinTech: Deep Learning-Based Sentiment Classification of User Reviews from Various Bangladeshi Mobile Financial Services. - Abdullah Al Ryan; Md. Shihab Mahmud; Hasibul Hasan Chowdhury Mahi; Md. Shakil Hossen; Nazmul Islam Shimul; Sheak Rashed Haider Noori (ICCIDS, 2023)