L-Boost: Identifying Offensive Texts From Social Media Post in Bengali. - Muhammad Firoz Mridha; Md. Anwar Hussen Wadud; Md. Abdul Hamid; Muhammad Mostafa Monowar; Mohammad Abdullah-Al-Wadud; Atif Alamri (IEEE Access, 2021)

How can we manage Offensive Text in Social Media - A Text Classification Approach using LSTM-BOOST. - Md. Anwar Hussen Wadud; Muhammad Mohsin Kabir; Muhammad Firoz Mridha; M. Ameer Ali; Md. Abdul Hamid; Muhammad Mostafa Monowar (Int. J. Inf. Manag. Data Insights, 2022)

Deep-BERT: Transfer Learning for Classifying Multilingual Offensive Texts on Social Media. - Md. Anwar Hussen Wadud; Muhammad Firoz Mridha; Jungpil Shin 001; Kamruddin Nur; Aloke Kumar Saha (Comput. Syst. Sci. Eng., 2023)

Exploring Progress in Text-to-Image Synthesis: An In-Depth Survey on the Evolution of Generative Adversarial Networks. - Md. Ahsan Habib; Md. Anwar Hussen Wadud; Md Fazlul Karim Patwary; Mohammad Motiur Rahman; Muhammad Firoz Mridha; Yuichi Okuyama 001; Jungpil Shin 001 (IEEE Access, 2024)

GACnet-Text-to-Image Synthesis With Generative Models Using Attention Mechanisms With Contrastive Learning. - Md. Ahsan Habib; Md. Anwar Hussen Wadud; Lubna Yeasmin Pinky; Mehedi Hasan Talukder; Mohammad Motiur Rahman; Muhammad Firoz Mridha; Yuichi Okuyama 001; Jungpil Shin 001 (IEEE Access, 2024)

Indoor and Outdoor Crowd Density Level Estimation with Video Analysis through Machine Learning Models. - Mahira Arefin; Md. Anwar Hussen Wadud; Anichur Rahman (CoRR, 2024)

Bilingual Bangla OCR for Rural Empowerment: Detecting Handwritten Queries and Agricultural Assistance. - Mahanur Alam; Md. Johirul Islam Tutul; Md. Anwar Hussen Wadud; Md. Jakir Hossen; Muhammad Firoz Mridha (IEEE Open J. Comput. Soc., 2025)