Experimental threshold determination for secondary users using USRP and Gnu radio. - Amith Khandakar; Amr Mohammed; Amr A. El-Sherif (DICTAP, 2014)

Prospects and Challenges of Free Space Optical Communications. - Abir Touati; Farid Touati; Abderrazak Abdaoui; Amith Khandakar; Ammar Bouallegue (UNet, 2018)

Reference Layer Artefact Subtraction (RLAS): Electromagnetic Simulations. - Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Karen J. Mullinger; Belayat Hossain; Nasser Al-Emadi; Andre Antunes; Richard Bowtell (IEEE Access, 2019)

A Low-Cost Closed-Loop Solar Tracking System Based on the Sun Position Algorithm. - Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Belayat Hossain; Rayaan Abouhasera (J. Sensors, 2019)

Corrigendum to "A Low-Cost Closed-Loop Solar Tracking System Based on the Sun Position Algorithm". - Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Belayat Hossain; Rayaan Abouhasera (J. Sensors, 2019)

Wearable Real-Time Heart Attack Detection and Warning System to Reduce Road Accidents. - Muhammad Enamul Hoque Chowdhury; Khawla Alzoubi; Amith Khandakar; Ridab Khallifa; Rayaan Abouhasera; Sirine Koubaa; Rashid Ahmed 002; Anwarul Hasan (Sensors, 2019)

Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring. - Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Khawla Alzoubi; Samar Mansoor; Anas M. Tahir; Mamun Bin Ibne Reaz; Nasser Al-Emadi (Sensors, 2019)

Portable System for Monitoring and Controlling Driver Behavior and the Use of a Mobile Phone While Driving. - Amith Khandakar; Muhammad Enamul Hoque Chowdhury; Rashid Ahmed 002; Ahmed Dhib; Mohammed Mohammed; Nasser Al-Emadi; Dave Michelson (Sensors, 2019)

Understanding Probabilistic Cognitive Relaying Communication with Experimental Implementation and Performance Analysis. - Amith Khandakar; Amr Mahmoud Salem Mohamed (Sensors, 2019)

Design and Implementation of a RF Based Anti-Drone System. - Abdularahman Hasan Abunada; Ahmed Yousif Osman; Amith Khandakar; Muhammad Enamul Hoque Chowdhury; Tamer Khattab; Farid Touati (ICIoT, 2020)

Can AI Help in Screening Viral and COVID-19 Pneumonia? - Muhammad Enamul Hoque Chowdhury; Tawsifur Rahman; Amith Khandakar; Rashid Mazhar; Muhammad Abdul Kadir; Zaid Bin Mahbub; Khandakar Reajul Islam; Muhammad Salman Khan 001; Atif Iqbal; Nasser Al-Emadi; Mamun Bin Ibne Reaz; Mohammad Tariqul Islam 001 (IEEE Access, 2020)

Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization. - Tawsifur Rahman; Amith Khandakar; Muhammad Abdul Kadir; Khandaker Reajul Islam; Khandakar F. Islam; Rashid Mazhar; Tahir Hamid; Mohammad Tariqul Islam 001; Saad Bin Abul Kashem; Zaid Bin Mahbub; Mohamed Arselene Ayari; Muhammad Enamul Hoque Chowdhury (IEEE Access, 2020)

Can AI help in screening Viral and COVID-19 pneumonia? - Muhammad Enamul Hoque Chowdhury; Tawsifur Rahman; Amith Khandakar; Rashid Mazhar; Muhammad Abdul Kadir; Zaid Bin Mahbub; Khandakar Reajul Islam; Muhammad Salman Khan 001; Atif Iqbal; Nasser Al-Emadi; Mamun Bin Ibne Reaz (CoRR, 2020)

Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray. - Tawsifur Rahman; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Khandakar Reajul Islam; Khandaker F. Islam; Zaid Bin Mahbub; Muhammad Abdul Kadir; Saad Bin Abul Kashem (CoRR, 2020)

Coronavirus: Comparing COVID-19, SARS and MERS in the eyes of AI. - Anas M. Tahir; Yazan Qiblawey; Amith Khandakar; Tawsifur Rahman; Uzair Khurshid; Farayi Musharavati; Serkan Kiranyaz; Muhammad Enamul Hoque Chowdhury (CoRR, 2020)

A Case Study to Identify the Hindrances to Widespread Adoption of Electric Vehicles in Qatar. - Amith Khandakar; Annaufal Rizqullah; Anas Ashraf Abdou Berbar; Mohammad Rafi Ahmed; Atif Iqbal; Muhammad Enamul Hoque Chowdhury; S. M. Ashfaq Uz Zaman (CoRR, 2020)

Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization. - Tawsifur Rahman; Amith Khandakar; Muhammad Abdul Kadir; Khandakar Reajul Islam; Khandaker F. Islam; Rashid Mazhar; Tahir Hamid; Mohammad Tariqul Islam 001; Zaid Bin Mahbub; Mohamed Arselene Ayari; Muhammad Enamul Hoque Chowdhury (CoRR, 2020)

Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images. - Tawsifur Rahman; Amith Khandakar; Yazan Qiblawey; Anas M. Tahir; Serkan Kiranyaz; Saad Bin Abul Kashem; Mohammad Tariqul Islam 001; Somaya Al-Máadeed; Susu M. Zughaier; Muhammad Salman Khan 001; Muhammad Enamul Hoque Chowdhury (CoRR, 2020)

Deep Learning Based Classification of Unsegmented Phonocardiogram Spectrograms Leveraging Transfer Learning. - Kaleem Nawaz Khan; Faiq Ahmad Khan; Anam Abid; Tamer Ölmez; Zümray Dokur; Amith Khandakar; Muhammad Enamul Hoque Chowdhury; Muhammad Salman Khan 001 (CoRR, 2020)

Design, Construction and Testing of IoT Based Automated Indoor Vertical Hydroponics Farming Test-Bed in Qatar. - Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Saba Ahmed; Fatima Al-Khuzaei; Jalaa Hamdalla; Fahmida Haque; Mamun Bin Ibne Reaz; Ahmed Al Shafei; Nasser Al-Emadi (Sensors, 2020)

Estimating Blood Pressure from the Photoplethysmogram Signal and Demographic Features Using Machine Learning Techniques. - Moajjem Hossain Chowdhury; Md Nazmul Islam Shuzan; Muhammad Enamul Hoque Chowdhury; Zaid Bin Mahbub; Mohammad Monir Uddin; Amith Khandakar; Mamun Bin Ibne Reaz (Sensors, 2020)

An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control. - Mahmoud Dahmani; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Tawsifur Rahman; Khaled Al-Jayyousi; Abdalla Hefny; Serkan Kiranyaz (Sensors, 2020)

A Systematic Approach to the Design and Characterization of a Smart Insole for Detecting Vertical Ground Reaction Force (vGRF) in Gait Analysis. - Anas M. Tahir; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Sara Al-Hamouz; Merna Abdalla; Sara Awadallah; Mamun Bin Ibne Reaz; Nasser Al-Emadi (Sensors, 2020)

Reliable Photovoltaics Output Power Prediction in Qatar. - Ali Jassim Lari; Augustine Egwebe; Farid Touati; Antonio S. P. Gonzales; Amith Abdullah Khandakar (DeSE, 2021)

A Transparent and Privacy-Preserving Healthcare Platform With Novel Smart Contract for Smart Cities. - Abdullah Al Omar; Abu Kaisar Jamil; Amith Khandakar; Abdur Razzak Uzzal; Rabeya Bosri; Nafees Mansoor; Mohammad Shahriar Rahman (IEEE Access, 2021)

Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms. - Arafat Rahman; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Serkan Kiranyaz; Kh Shahriya Zaman; Mamun Bin Ibne Reaz; Mohammad Tariqul Islam 001; Maymouna Ezeddin; Muhammad Abdul Kadir (IEEE Access, 2021)

Development and Validation of an Early Scoring System for Prediction of Disease Severity in COVID-19 Using Complete Blood Count Parameters. - Tawsifur Rahman; Amith Khandakar; Md Enamul Hoque; Nabil Ibtehaz; Saad Bin Abul Kashem; Reehum Masud; Lutfunnahar Shampa; Mohammad Mehedi Hasan; Mohammad Tariqul Islam 001; Somaya Al-Máadeed; Susu M. Zughaier; Saif Badran; et al. (IEEE Access, 2021)

A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model. - Md Nazmul Islam Shuzan; Moajjem Hossain Chowdhury; Md. Shafayet Hossain; Muhammad Enamul Hoque Chowdhury; Mamun Bin Ibne Reaz; Mohammad Monir Uddin; Amith Khandakar; Zaid Bin Mahbub; Sawal Hamid Md. Ali (IEEE Access, 2021)

A machine learning model for early detection of diabetic foot using thermogram images. - Amith Khandakar; Muhammad Enamul Hoque Chowdhury; Mamun Bin Ibne Reaz; Sawal Hamid Md. Ali; Anwarul Hasan; Serkan Kiranyaz; Tawsifur Rahman; Rashad Alfkey; Ahmad Ashrif A. Bakar; Rayaz A. Malik (Comput. Biol. Medicine, 2021)

Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images. - Tawsifur Rahman; Amith Khandakar; Yazan Qiblawey; Anas M. Tahir; Serkan Kiranyaz; Saad Bin Abul Kashem; Mohammad Tariqul Islam 001; Somaya Al-Máadeed; Susu M. Zughaier; Muhammad Salman Khan 001; Muhammad Enamul Hoque Chowdhury (Comput. Biol. Medicine, 2021)

COVID-19 infection localization and severity grading from chest X-ray images. - Anas M. Tahir; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Tawsifur Rahman; Yazan Qiblawey; Uzair Khurshid; Serkan Kiranyaz; Nabil Ibtehaz; M. Sohel Rahman; Somaya Al-Máadeed; Sakib Mahmud; Maymouna Ezeddin; et al. (Comput. Biol. Medicine, 2021)

Detection and severity classification of COVID-19 in CT images using deep learning. - Yazan Qiblawey; Anas M. Tahir; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Serkan Kiranyaz; Tawsifur Rahman; Nabil Ibtehaz; Sakib Mahmud; Somaya Al-Madeed; Farayi Musharavati (CoRR, 2021)

A Novel Non-Invasive Estimation of Respiration Rate from Photoplethysmograph Signal Using Machine Learning Model. - Md Nazmul Islam Shuzan; Moajjem Hossain Chowdhury; Muhammad Enamul Hoque Chowdhury; Mohammad Monir Uddin; Amith Khandakar; Zaid Bin Mahbub; Naveed Nawaz (CoRR, 2021)

Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms. - Arafat Rahman; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Serkan Kiranyaz; Kh Shahriya Zaman; Mamun Bin Ibne Reaz; Mohammad Tariqul Islam 001; Muhammad Abdul Kadir (CoRR, 2021)

COVID-19 Infection Localization and Severity Grading from Chest X-ray Images. - Anas M. Tahir; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Tawsifur Rahman; Yazan Qiblawey; Uzair Khurshid; Serkan Kiranyaz; Nabil Ibtehaz; Mohammad Shohel Rahman; Somaya Al-Madeed; Khaled Hameed; Tahir Hamid; et al. (CoRR, 2021)

Case study of Innovative Teaching Practices and their Impact for Electrical Engineering Courses during COVID-19 Pandemic. - Amith Khandakar; Muhammad Enamul Hoque Chowdhury; Md. Saifuddin Khalid; Nizar Zorba (CoRR, 2021)

A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals. - Sakib Mahmud; Nabil Ibtehaz; Amith Khandakar; Anas M. Tahir; Tawsifur Rahman; Khandaker Reajul Islam; Md. Shafayet Hossain; M. Sohel Rahman; Mohammad Tariqul Islam 001; Muhammad Enamul Hoque Chowdhury (CoRR, 2021)

Review on Medical Implantable Antenna Technology and Imminent Research Challenges. - Md Mohiuddin Soliman; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Mohammad Tariqul Islam 001; Yazan Qiblawey; Farayi Musharavati; Erfan Zal Nezhad (Sensors, 2021)

Brain MR Image Enhancement for Tumor Segmentation Using 3D U-Net. - Faizad Ullah; Shahab U. Ansari; Muhammad Hanif 001; Mohamed Arselene Ayari; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Muhammad Salman Khan 001 (Sensors, 2021)

Motion Artifacts Correction From EEG and fNIRS Signals Using Novel Multiresolution Analysis. - Md. Shafayet Hossain; Mamun Bin Ibne Reaz; Muhammad Enamul Hoque Chowdhury; Sawal Hamid Md. Ali; Ahmad Ashrif A. Bakar; Serkan Kiranyaz; Amith Khandakar; Mohammed Alhatou; Rumana Habib (IEEE Access, 2022)

HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images. - Tawsifur Rahman; Amith Khandakar; Khandaker Reajul Islam; Md Mohiuddin Soliman; Mohammad Tariqul Islam 001; Ahmed Elsayed; Yazan Qiblawey; Sakib Mahmud; Ashiqur Rahman; Farayi Musharavati; Erfan Zalnezhad; Muhammad Enamul Hoque Chowdhury (IEEE Access, 2022)

Field-Oriented Control of Five-Phase Induction Motor Fed From Space Vector Modulated Matrix Converter. - Khaliqur Rahman; Syed Rahman; Mahajan Sagar Bhaskar; Atif Iqbal; Amith Khandakar; Mohd Tariq; Basem Alamri (IEEE Access, 2022)

PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data. - Farhan Fuad Abir; Khalid Alyafei; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Rashid Ahmed 002; Muhammad Maqsud Hossain; Sakib Mahmud; Ashiqur Rahman; Tareq O. Abbas; Susu M. Zughaier; Khalid Kamal Naji (Comput. Biol. Medicine, 2022)

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)

Deep learning techniques for liver and liver tumor segmentation: A review. - Sidra Gul; Muhammad Salman Khan 001; Asima Bibi; Amith Khandakar; Mohamed Arselene Ayari; Muhammad Enamul Hoque Chowdhury (Comput. Biol. Medicine, 2022)

Robust biometric system using session invariant multimodal EEG and keystroke dynamics by the ensemble of self-ONNs. - Arafat Rahman; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Anas M. Tahir; Nabil Ibtehaz; Md. Shafayet Hossain; Serkan Kiranyaz; Junaid Malik; Haya Monawwar; Muhammad Abdul Kadir (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)

Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images. - Anas M. Tahir; Yazan Qiblawey; Amith Khandakar; Tawsifur Rahman; Uzair Khurshid; Farayi Musharavati; Mohammad Tariqul Islam 001; Serkan Kiranyaz; Somaya Al-Máadeed; Muhammad Enamul Hoque Chowdhury (Cogn. Comput., 2022)

Design, Implementation, and Performance Evaluation of a Fiber Bragg Gratings(FBG) based Smart Insole to Measure Plantar Pressure and Temperature. - Sakib Mahmud; Amith Khandakar; Muhammad Enamul Hoque Chowdhury; Mohammed AbdulMoniem; Mamun Bin Ibne Reaz; Zaid Bin Mahbub; Kishor Kumar Sadasivuni; M. Murugappan; Mohammed Alhatou (CoRR, 2022)

COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network. - Tawsifur Rahman; Alex Akinbi; Muhammad Enamul Hoque Chowdhury; Tarik A. Rashid; Abdulkadir Sengür; Amith Khandakar; Khandaker Reajul Islam; Aras Masood Ismael (Health Inf. Sci. Syst., 2022)

Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals Using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis. - Md. Shafayet Hossain; Muhammad Enamul Hoque Chowdhury; Mamun Bin Ibne Reaz; Sawal Hamid Md. Ali; Ahmad Ashrif A. Bakar; Serkan Kiranyaz; Amith Khandakar; Mohammed Alhatou; Rumana Habib; Muhammad Maqsud Hossain (Sensors, 2022)

Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques. - Amith Khandakar; Muhammad Enamul Hoque Chowdhury; Mamun Bin Ibne Reaz; Sawal Hamid Md. Ali; Tariq O. Abbas; Tanvir Alam; Mohamed Arselene Ayari; Zaid Bin Mahbub; Rumana Habib; Tawsifur Rahman; Anas M. Tahir; Ahmad Ashrif A. Bakar; et al. (Sensors, 2022)

A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images. - Amith Khandakar; Muhammad Enamul Hoque Chowdhury; Mamun Bin Ibne Reaz; Sawal Hamid Md. Ali; Serkan Kiranyaz; Tawsifur Rahman; Moajjem Hossain Chowdhury; Mohamed Arselene Ayari; Rashad Alfkey; Ahmad Ashrif A. Bakar; Rayaz A. Malik; Anwarul Hasan (Sensors, 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)

A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals. - Sakib Mahmud; Nabil Ibtehaz; Amith Khandakar; Anas M. Tahir; Tawsifur Rahman; Khandaker Reajul Islam; Md. Shafayet Hossain; M. Sohel Rahman; Farayi Musharavati; Mohamed Arselene Ayari; Mohammad Tariqul Islam 001; Muhammad Enamul Hoque Chowdhury (Sensors, 2022)

Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model. - Kanchon Kanti Podder; Muhammad Enamul Hoque Chowdhury; Anas M. Tahir; Zaid Bin Mahbub; Amith Khandakar; Md. Shafayet Hossain; Muhammad Abdul Kadir (Sensors, 2022)

Blind ECG Restoration by Operational Cycle-GANs. - Serkan Kiranyaz; Ozer Can Devecioglu; Turker Ince; Junaid Malik; Muhammad Enamul Hoque Chowdhury; Tahir Hamid; Rashid Mazhar; Amith Khandakar; Anas Tahir; Tawsifur Rahman; Moncef Gabbouj (IEEE Trans. Biomed. Eng., 2022)

Robust R-Peak Detection in Low-Quality Holter ECGs Using 1D Convolutional Neural Network. - Muhammad Uzair Zahid; Serkan Kiranyaz; Turker Ince; Ozer Can Devecioglu; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Anas M. Tahir; Moncef Gabbouj (IEEE Trans. Biomed. Eng., 2022)

EDITH : ECG Biometrics Aided by Deep Learning for Reliable Individual Authentication. - Nabil Ibtehaz; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Serkan Kiranyaz; M. Sohel Rahman; Anas Tahir; Yazan Qiblawey; Tawsifur Rahman (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Plant Disease Classifier: Detection of Dual-Crop Diseases Using Lightweight 2D CNN Architecture. - Hasibul Islam Peyal; Md. Nahiduzzaman; Md. Abu Hanif Pramanik; Md. Khalid Syfullah; Saleh Mohammed Shahriar; Abida Sultana; Mominul Ahsan; Julfikar Haider; Amith Khandakar; Muhammad E. H. Chowdhury (IEEE Access, 2023)

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)

PCovNet+: A CNN-VAE anomaly detection framework with LSTM embeddings for smartwatch-based COVID-19 detection. - Farhan Fuad Abir; Muhammad E. H. Chowdhury; Malisha Islam Tapotee; Adam Mushtak; Amith Khandakar; Sakib Mahmud; Anwarul Hasan (Eng. Appl. Artif. Intell., 2023)

Fetal ECG extraction from maternal ECG using deeply supervised LinkNet++ model. - Arafat Rahman; Sakib Mahmud; Muhammad E. H. Chowdhury; Huseyin Cagatay Yalcin; Amith Khandakar; Onur Mutlu; Zaid Bin Mahbub; Reema Youssef Kamal; Shona Pedersen (Eng. Appl. Artif. Intell., 2023)

A Real Time Method for Distinguishing COVID-19 Utilizing 2D-CNN and Transfer Learning. - Abida Sultana; Md. Nahiduzzaman; Sagor Chandro Bakchy; Saleh Mohammed Shahriar; Hasibul Islam Peyal; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Mohamed Arselene Ayari; Mominul Ahsan; Julfikar Haider (Sensors, 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)

Deep learning-based middle cerebral artery blood flow abnormality detection using flow velocity waveform derived from transcranial Doppler ultrasound. - Kanchon Kanti Podder; Muhammad Enamul Hoque Chowdhury; Sumaya Almaadeed; Naima Nasrin Nisha; Sakib Mahmud; Fatema Hamadelneil; Taif Almkhlef; Hind Aljofairi; Adam Mushtak; Amith Khandakar; Susu M. Zughaier (Biomed. Signal Process. Control., 2023)

BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data. - Tawsifur Rahman; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Zaid Bin Mahbub; Md Sakib Abrar Hossain; Abraham Alhatou; Eynas Abdalla; Sreekumar Muthiyal; Khandaker Farzana Islam; Saad Bin Abul Kashem; Muhammad Salman Khan 001; Susu M. Zughaier; et al. (Neural Comput. Appl., 2023)

Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model. - Kanchon Kanti Podder; Maymouna Ezeddin; Muhammad E. H. Chowdhury; Md. Shaheenur Islam Sumon; Anas M. Tahir; Mohamed Arselene Ayari; Proma Dutta; Amith Khandakar; Zaid Bin Mahbub; Muhammad Abdul Kadir (Sensors, 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)

RamanNet: a generalized neural network architecture for Raman spectrum analysis. - Nabil Ibtehaz; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Serkan Kiranyaz; M. Sohel Rahman; Susu M. Zughaier (Neural Comput. Appl., 2023)

IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques. - Md. Faysal Ahamed; Md. Khalid Syfullah; Ovi Sarkar; Md. Tohidul Islam; Md. Nahiduzzaman; Md. Rabiul Islam 001; Amith Khandakar; Mohamed Arselene Ayari; Muhammad E. H. Chowdhury (Sensors, 2023)

Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images. - Md Sakib Abrar Hossain; Sidra Gul; Muhammad E. H. Chowdhury; Muhammad Salman Khan 001; Md. Shaheenur Islam Sumon; Enamul Hoque Bhuiyan; Amith Khandakar; Muhammad Maqsud Hossain; Abdus Sadique; Israa Al-Hashimi; Mohamed Arselene Ayari; Sakib Mahmud; et al. (Sensors, 2023)

Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks. - Moncef Gabbouj; Serkan Kiranyaz; Junaid Malik; Muhammad Uzair Zahid; Turker Ince; Muhammad E. H. Chowdhury; Amith Khandakar; Anas Tahir (IEEE Trans. Neural Networks Learn. Syst., 2023)

Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods With Explainable AI. - Md. Faysal Ahamed; Md. Rabiul Islam 001; Md. Nahiduzzaman; Md. Jawadul Karim; Mohamed Arselene Ayari; Amith Khandakar (IEEE Access, 2024)

GearFaultNet: Novel Network for Automatic and Early Detection of Gearbox Faults. - Proma Dutta; Kanchon Kanti Podder; Md. Shaheenur Islam Sumon; Muhammad E. H. Chowdhury; Amith Khandakar; Nasser Al-Emadi; Moajjem Hossain Chowdhury; M. Murugappan; Mohamed Arselene Ayari; Sakib Mahmud; S. M. Muyeen (IEEE Access, 2024)

ExoventQ: A Novel Low-Cost Portable Negative Pressure Ventilator Design and Implementation. - Shahd Sameer Mohammed Gaben; Nada Abughanam; Nabil Ibtehaz; Sakib Mahmud; Ghada Al Noaimi; Abdulrahman Alqahtani; Amith Khandakar; Muhammad E. H. Chowdhury (IEEE Access, 2024)

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)

Data-Assisted Radio Resource Allocation in Shared Spectrum Multi-RAT Heterogeneous Network. - Salman Saadat; Sami Ahmed Haider; Waleed Ejaz; Amith Khandakar (IEEE Access, 2024)

LGI-rPPG-Net: A shallow encoder-decoder model for rPPG signal estimation from facial video streams. - Moajjem Hossain Chowdhury; Muhammad E. H. Chowdhury; Mamun Bin Ibne Reaz; Sawal Hamid Md. Ali; Seyed Mehdi Rakhtala; M. Murugappan; Sakib Mahmud; Md Nazmul Islam Shuzan; Ahmad Ashrif A. Bakar; Mohd Ibrahim Bin Shapiai; Muhammad Salman Khan 001; Amith Khandakar (Biomed. Signal Process. Control., 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)

Novel interpretable and robust web-based AI platform for phishing email detection. - Abdulla Al-Subaiey; Mohammed Al-Thani; Naser Abdullah Alam; Kaniz Fatema Antora; Amith Khandakar; SM Ashfaq Uz Zaman (Comput. Electr. Eng., 2024)

Smart aquaponics: An innovative machine learning framework for fish farming optimization. - Amith Khandakar; I. M. Elzein; Md. Nahiduzzaman; Mohamed Arselene Ayari; Azad Ibn Ashraf; Lino Korah; Alhareth Zyoud; Hassan Ali 002; Ahmed Badawi (Comput. Electr. Eng., 2024)

Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and Review. - Amith Khandakar; David G. Michelson; Mansura Naznine; Abdus Salam; Md. Nahiduzzaman; Khaled M. Khan; Ponnuthurai Nagaratnam Suganthan; Mohamed Arselene Ayari; Hamid Menouar; Julfikar Haider (CoRR, 2024)

Restoration of motion-corrupted EEG signals using attention-guided operational CycleGAN. - Sakib Mahmud; Muhammad E. H. Chowdhury; Serkan Kiranyaz; Nasser Al-Emadi; Anas M. Tahir; Md. Shafayet Hossain; Amith Khandakar; Somaya Al-Máadeed (Eng. Appl. Artif. Intell., 2024)

Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI. - Md. Faysal Ahamed; Md. Nahiduzzaman; Md. Rabiul Islam 001; Mansura Naznine; Mohamed Arselene Ayari; Amith Khandakar; Julfikar Haider (Expert Syst. Appl., 2024)

Automated grading of prenatal hydronephrosis severity from segmented kidney ultrasounds using deep learning. - Sakib Mahmud; Tariq O. Abbas; Muhammad E. H. Chowdhury; Adam Mushtak; Saidul Kabir; Sreekumar Muthiyal; Alaa Koko; Ahmed Balla Abdalla Altyeb; Abdulrahman Alqahtani; Amith Khandakar; Sheikh Mohammed Shariful Islam (Expert Syst. Appl., 2024)

Wearable wrist to finger photoplethysmogram translation through restoration using super operational neural networks based 1D-CycleGAN for enhancing cardiovascular monitoring. - Sakib Mahmud; Muhammad E. H. Chowdhury; Serkan Kiranyaz; Malisha Islam Tapotee; Purnata Saha; Anas M. Tahir; Amith Khandakar; Abdulrahman Alqahtani (Expert Syst. Appl., 2024)

A novel framework for lung cancer classification using lightweight convolutional neural networks and ridge extreme learning machine model with SHapley Additive exPlanations (SHAP). - Md. Nahiduzzaman; Lway Faisal Abdulrazak; Mohamed Arselene Ayari; Amith Khandakar; S. M. Riazul Islam (Expert Syst. Appl., 2024)

Enhance data availability and network consistency using artificial neural network for IoT. - Mujahid Tabassum; Sundresan Perumal; Saad Bin Abul Kashem; Ponnan Suresh; Chinmay Chakraborty; Muhammad E. H. Chowdhury; Amith Khandakar (Multim. Tools Appl., 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)

TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images. - Tawsifur Rahman; Amith Khandakar; Ashiqur Rahman; Susu M. Zughaier; Muna Al Maslamani; Moajjem Hossain Chowdhury; Anas M. Tahir; Md Sakib Abrar Hossain; Muhammad E. H. Chowdhury (Cogn. Comput., 2024)

Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization. - Rusab Sarmun; Muhammad E. H. Chowdhury; M. Murugappan; Ahmed Aqel; Maymouna Ezzuddin; Syed Mahfuzur Rahman; Amith Khandakar; Sanzida Akter; Rashad Alfkey; Anwarul Hasan (Cogn. Comput., 2024)

An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning. - Muhammad E. H. Chowdhury; Tawsifur Rahman; Amith Khandakar; Somaya Al-Madeed; Susu M. Zughaier; Suhail A. R. Doi; Hanadi Hassen; Mohammad Tariqul Islam 001 (Cogn. Comput., 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)

Interpretable deep learning architecture for gastrointestinal disease detection: A Tri-stage approach with PCA and XAI. - Md. Faysal Ahamed; Fariya Bintay Shafi; Md. Nahiduzzaman; Mohamed Arselene Ayari; Amith Khandakar (Comput. Biol. Medicine, 2025)

Compost maturity prediction and gas emissions monitoring: A sensor-based and interpretable machine learning approach. - Amith Khandakar; Azad Ibn Ashraf; Mohamed Arselene Ayari; Amin Esmaeili; Mohannad Aljarrah; Philips Michael; Md. Nahiduzzaman; Hafsa Binte Kibria; Vasiliki Maria Gerokosta; Abdul Ahad Shehbaz; Maryam Abdulla R. A Al-Mansoori; Farah Khattab (Comput. Electr. Eng., 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)

CardioTabNet: a novel hybrid transformer model for heart disease prediction using tabular medical data. - Md. Shaheenur Islam Sumon; Md. Sakib Bin Islam; Md. Sohanur Rahman; Md Sakib Abrar Hossain; Amith Khandakar; Anwarul Hasan; M. Murugappan; Muhammad E. H. Chowdhury (Health Inf. Sci. Syst., 2025)