A Reliable and Robust Deep Learning Model for Effective Recyclable Waste Classification. - Md. Mosarrof Hossen; Molla E. Majid; Saad Bin Abul Kashem; Amith Khandakar; Mohammad Nashbat; Azad Ashraf; Mazhar Hasan-Zia; Ali K. Ansaruddin Kunju; Saidul Kabir; Muhammad E. H. Chowdhury (IEEE Access, 2024)

Novel multimodal emotion detection method using Electroencephalogram and Electrocardiogram signals. - Purnata Saha; Ali K. Ansaruddin Kunju; Molla E. Majid; Saad Bin Abul Kashem; Mohammad Nashbat; Azad Ashraf; Mazhar Hasan-Zia; Amith Khandakar; Md. Shafayet Hossain; Abdulrahman Alqahtani; Muhammad E. H. Chowdhury (Biomed. Signal Process. Control., 2024)

Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection. - Mamun Or Rashid; Md. Mosarrof Hossen; Mohammad Nashbat; Mazhar Hasan-Zia; Ali K. Ansaruddin Kunju; Amith Khandakar; Azad Ashraf; Molla E. Majid; Saad Bin Abul Kashem; Muhammad E. H. Chowdhury (IEEE Access, 2025)

An automated waste classification system using deep learning techniques: Toward efficient waste recycling and environmental sustainability. - Md. Nahiduzzaman; Md. Faysal Ahamed; Mansura Naznine; Md. Jawadul Karim; Hafsa Binte Kibria; Mohamed Arselene Ayari; Amith Khandakar; Azad Ashraf; Mominul Ahsan; Julfikar Haider (Knowl. Based Syst., 2025)

VisioDECT: a novel approach to drone detection using CBAM-integrated YOLO and GELAN-E models. - Md. Sakib Bin Islam; Muhammad E. H. Chowdhury; Mazhar Hasan-Zia; Saad Bin Abul Kashem; Molla E. Majid; Ali K. Ansaruddin Kunju; Amith Khandakar; Azad Ashraf; Mohammad Nashbat (Neural Comput. Appl., 2025)