A pragmatic signal processing approach for nurse care activity recognition using classical machine learning. - Md. Ahasan Atick Faisal; Md. Sadman Siraj; Md. Tahmeed Abdullah; Omar Shahid; Farhan Fuad Abir; Md. Atiqur Rahman Ahad (UbiComp/ISWC Adjunct, 2020)

UPIC: user and position independent classical approach for locomotion and transportation modes recognition. - Md. Sadman Siraj; Md. Ahasan Atick Faisal; Omar Shahid; Farhan Fuad Abir; Tahera Hossain; Sozo Inoue; Md Atiqur Rahman Ahad (UbiComp/ISWC Adjunct, 2020)

An investigation to study the effects of Tai Chi on human gait dynamics using classical machine learning. - Md. Ahasan Atick Faisal; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Md. Shafayet Hossain; Mohammed Alhatou; Sakib Mahmud; Iffat Ara; Shah Imran Sheikh; Mosabber Uddin Ahmed (Comput. Biol. Medicine, 2022)

QCovSML: A reliable COVID-19 detection system using CBC biomarkers by a stacking machine learning model. - Tawsifur Rahman; Amith Khandakar; Farhan Fuad Abir; Md. Ahasan Atick Faisal; Md. Shafayet Hossain; Kanchon Kanti Podder; Tariq O. Abbas; Mohammed Fasihul Alam; Saad Bin Abul Kashem; Mohammad Tariqul Islam 001; Susu M. Zughaier; Muhammad Enamul Hoque Chowdhury (Comput. Biol. Medicine, 2022)

Design and Implementation of a Smart Insole System to Measure Plantar Pressure and Temperature. - Amith Khandakar; Sakib Mahmud; Muhammad Enamul Hoque Chowdhury; Mamun Bin Ibne Reaz; Serkan Kiranyaz; Zaid Bin Mahbub; Sawal Hamid Ali; Ahmad Ashrif A. Bakar; Mohamed Arselene Ayari; Mohammed Alhatou; Mohammed AbdulMoniem; Md. Ahasan Atick Faisal (Sensors, 2022)

NABNet: A Nested Attention-guided BiConvLSTM network for a robust prediction of Blood Pressure components from reconstructed Arterial Blood Pressure waveforms using PPG and ECG signals. - Sakib Mahmud; Nabil Ibtehaz; Amith Khandakar; M. Sohel Rahman; Antonio JR. Gonzales; Tawsifur Rahman; Md. Shafayet Hossain; Md Sakib Abrar Hossain; Md. Ahasan Atick Faisal; Farhan Fuad Abir; Farayi Musharavati; Muhammad Enamul Hoque Chowdhury (Biomed. Signal Process. Control., 2023)

Machine learning-based classification of healthy and impaired gaits using 3D-GRF signals. - Md Nazmul Islam Shuzan; Muhammad Enamul Hoque Chowdhury; Mamun Bin Ibne Reaz; Amith Khandakar; Farhan Fuad Abir; Md. Ahasan Atick Faisal; Sawal Hamid Md. Ali; Ahmad Ashrif A. Bakar; Moajjem Hossain Chowdhury; Zaid Bin Mahbub; Mohammad Monir Uddin; Mohammed Alhatou (Biomed. Signal Process. Control., 2023)

NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern. - Md. Ahasan Atick Faisal; Muhammad Enamul Hoque Chowdhury; Zaid Bin Mahbub; Shona Pedersen; Mosabber Uddin Ahmed; Amith Khandakar; Mohammed Alhatou; Mohammad Nabil; Iffat Ara; Enamul Hoque Bhuiyan; Sakib Mahmud; Mohammed AbdulMoniem (Appl. Intell., 2023)

QU-GM: An IoT Based Glucose Monitoring System From Photoplethysmography, Blood Pressure, and Demographic Data Using Machine Learning. - Md Nazmul Islam Shuzan; Moajjem Hossain Chowdhury; Muhammad E. H. Chowdhury; Khalid Abualsaud; Elias Yaacoub; Md. Ahasan Atick Faisal; Mazun Alshahwani; Noora Al Bordeni; Fatima Al-Kaabi; Shada Al-Mohannadi; Sakib Mahmud; Nizar Zorba (IEEE Access, 2024)

Robust and novel attention guided MultiResUnet model for 3D ground reaction force and moment prediction from foot kinematics. - Md. Ahasan Atick Faisal; Sakib Mahmud; Muhammad E. H. Chowdhury; Amith Khandakar; Mosabber Uddin Ahmed; Abdulrahman Alqahtani; Mohammed Alhatou (Neural Comput. Appl., 2024)

A novel 1D generative adversarial network-based framework for atrial fibrillation detection using restored wrist photoplethysmography signals. - Faizul Rakib Sayem; Mosabber Uddin Ahmed; Saadia Binte Alam; Sakib Mahmud; Md. Mamun Sheikh; Abdulrahman Alqahtani; Md. Ahasan Atick Faisal; Muhammad E. H. Chowdhury (Biomed. Signal Process. Control., 2025)

Machine learning for predicting outcomes of transcatheter aortic valve implantation: A systematic review. - Ruba Sulaiman; Md. Ahasan Atick Faisal; Maram Hasan; Muhammad E. H. Chowdhury; Faycal Bensaali; Abdulrahman Alnabti; Huseyin Cagatay Yalcin (Int. J. Medical Informatics, 2025)

Deep Learning in Automated Power Line Inspection: A Review. - Md. Ahasan Atick Faisal; Imene Mecheter; Yazan Qiblawey; Javier Hernandez Fernandez; Muhammad E. H. Chowdhury; Serkan Kiranyaz (CoRR, 2025)

Rapid wall shear stress prediction for aortic aneurysms using deep learning: a fast alternative to CFD. - Md. Ahasan Atick Faisal; Onur Mutlu; Sakib Mahmud; Anas Tahir; Muhammad E. H. Chowdhury; Faycal Bensaali; Abdulrahman Alnabti; Mehmet Metin Yavuz; Ayman El-Menyar; Hassan Al-Thani; Huseyin Cagatay Yalcin (Medical Biol. Eng. Comput., 2025)