A framework for fall detection of elderly people by analyzing environmental sounds through acoustic local ternary patterns. - Aun Irtaza; Syed Muhammad Adnan Shah; Sumair Aziz; Ali Javed; M. Obaid Ullah; Muhammad Tariq Mahmood (SMC, 2017)

Electromyography (EMG) Data-Driven Load Classification using Empirical Mode Decomposition and Feature Analysis. - Sumair Aziz; Muhammad Umar Khan; Foha Aamir; Muhammad Arshad Javid (FIT, 2019)

Detection of Myocardial Infarction using Pulse Plethysmograph Signals. - Muhammad Umar Khan; Sumair Aziz; Asra Malik; Muhammad Atif Imtiaz (FIT, 2019)

Phonocardiogram Signal Processing for Automatic Diagnosis of Congenital Heart Disorders through Fusion of Temporal and Cepstral Features. - Sumair Aziz; Muhammad Umar Khan; Majed Alhaisoni; Tallha Akram; Muhammad Altaf (Sensors, 2020)

Soft computing approach for classification of complex power quality events. - Abdullah; Muhammad Umar Khan; Sumair Aziz; Adil Usman; Talha Jalil (ICAI, 2021)

Photoplethysmography Based Detection of Social Stress. - Muhammad Adil Azam; Ayman Zaheer; Madiha Mukhtiar; Sumair Aziz; Muhammad Umar Khan; Syed Zohaib Hassan Naqvi (ICAI, 2021)

Detection of Insomnia using Electrocardiography and Electromyography. - Asra Malik; Syed Zohaib Hassan Naqvi; Sumair Aziz; Muhammad Umar Khan; Tehseen Hussain; Fahad Hasan (ICAI, 2021)

Cucumber Leaf Disease Classification using Local Tri-directional Patterns and Haralick Features. - Abdul Rehman; Zain Tariq; Shoaib ul din Memon; Ahmed Zaib; Muhammad Umar Khan; Sumair Aziz (ICAI, 2021)

Automatic Classification of Modulation Schemes under Blind Scenario. - Zain Tariq; Abdul Rehman; Taimoor Aslam; Muhammad Umar Khan; Sumair Aziz; Syed Zohaib Hassan Naqvi (ICAI, 2021)

Phonocardiogram signal analysis for classification of Coronary Artery Diseases using MFCC and 1D adaptive local ternary patterns. - Khushbakht Iqtidar; Usman Qamar; Sumair Aziz; Muhammad Umar Khan (Comput. Biol. Medicine, 2021)

A novel embedded system design for the detection and classification of cardiac disorders. - Umair Riaz; Sumair Aziz; Muhammad Umar Khan; Syed Azhar Ali Zaidi; Muhammad Ukasha; Aamir Rashid (Comput. Intell., 2021)

A novel pulse plethysmograph signal analysis method for identification of myocardial infarction, dilated cardiomyopathy, and hypertension. - Muhammad Umar Khan; Sumair Aziz (Turkish J. Electr. Eng. Comput. Sci., 2021)

Classification of cardiac disorders using 1D local ternary patterns based on pulse plethysmograph signals. - Sumair Aziz; Muhammad Awais 004; Muhammad Umar Khan; Khushbakht Iqtidar; Usman Qamar (Expert Syst. J. Knowl. Eng., 2021)

An Expert System for Rotating Machine Fault Detection Using Vibration Signal Analysis. - Ayaz Kafeel; Sumair Aziz; Muhammad Awais 004; Muhammad Attique Khan; Kamran Afaq; Sahar Ahmed Idris; Hammam A. Alshazly; Samih Mohemmed Mostafa (Sensors, 2021)

Expert Hypertension Detection System Featuring Pulse Plethysmograph Signals and Hybrid Feature Selection and Reduction Scheme. - Muhammad Umar Khan; Sumair Aziz; Tallha Akram; Fatima Amjad; Khushbakht Iqtidar; Yunyoung Nam; Muhammad Attique Khan (Sensors, 2021)

EHG Signal Analysis for Prediction of Term and Preterm using Variational Mode Decomposition and Artificial Neural Networks. - Muhammad Umar Khan; Sumair Aziz; Khushbakht Iqtidar; Raul Fernandez Rojas (FIT, 2022)

Pulse plethysmograph signal analysis method for classification of heart diseases using novel local spectral ternary patterns. - Sumair Aziz; Muhammad Umar Khan; Khushbakht Iqtidar; Sadaqat Ali; Ancuta Nicoleta Remete; Muhammad Arshad Javid (Expert Syst. J. Knowl. Eng., 2022)

Computer-aided diagnosis of COVID-19 disease from chest X-ray images integrating deep feature extraction. - Sumair Aziz; Muhammad Umar Khan; Abdul Rehman; Zain Tariq; Khushbakht Iqtidar (Expert Syst. J. Knowl. Eng., 2022)

A two-stage classification model integrating feature fusion for coronary artery disease detection and classification. - Muhammad Umar Khan; Sumair Aziz; Khushbakht Iqtidar; Galila Faisal Zaher; Shareefa Alghamdi; Munazza Gull (Multim. Tools Appl., 2022)

"Where does it hurt?": Exploring EDA Signals to Detect and Localise Acute Pain. - Sumair Aziz; Muhammad Umar Khan; Niraj Hirachan; Girija Chetty; Roland Goecke; Raul Fernandez Rojas (EMBC, 2023)

Intelligent System for the Diagnosis of Schizophrenia featuring Brain Textures from EEG. - Sumair Aziz; Muhammad Umar Khan; Muhammad Faraz; Siddhant Sharma; Awadia Gareeballah; Gabriel Axel Montes (ICAI, 2023)

Experimental Exploration of Multilevel Human Pain Assessment Using Blood Volume Pulse (BVP) Signals. - Muhammad Umar Khan; Sumair Aziz; Niraj Hirachan; Calvin Joseph; Jasper Li; Raul Fernandez Rojas (Sensors, 2023)

Computer-aided diagnosis system for cardiac disorders using variational mode decomposition and novel cepstral quinary patterns. - Muhammad Umar Khan; Sumair Aziz; Khushbakht Iqtidar; Raul Fernandez Rojas (Biomed. Signal Process. Control., 2023)

Machine learning-based classification of multiple heart disorders from PCG signals. - Muhammad Talal; Sumair Aziz; Muhammad Umar Khan; Yazeed Ghadi; Syed Zohaib Hassan Naqvi; Muhammad Faraz (Expert Syst. J. Knowl. Eng., 2023)

Pattern Analysis Framework for Detection of Cardiac Disorders using VCG Signal Analysis. - Syeda Tehreem Haider; Muhammad Umar Khan; Sumair Aziz; Muhammad Faraz; Syed Zohaib Hassan Naqvi; Gabriel Axel Montes (ICACS, 2024)

Detecting Lung Infections with Empirical Mode Decomposition and Neural Networks. - Abdul Rafay 003; Wardah Batool; Muhammad Faraz; Syed Zohaib Hassan Naqvi; Muhammad Umar Khan; Sumair Aziz (ICACS, 2024)

A two-stage architecture for identifying and locating the source of pain using novel multi-domain binary patterns of EDA. - Sumair Aziz; Calvin Joseph; Niraj Hirachan; Luke Murtagh; Girija Chetty; Roland Goecke; Raul Fernandez Rojas (Biomed. Signal Process. Control., 2025)

Empirically Transformed Energy Patterns: A novel approach for capturing fNIRS signal dynamics in pain assessment. - Muhammad Umar Khan; Sumair Aziz; Luke Murtagh; Girija Chetty; Roland Goecke; Raul Fernandez Rojas (Comput. Biol. Medicine, 2025)

Bearing faults classification using novel log energy-based empirical mode decomposition and machine Mel-frequency cepstral coefficients. - Sumair Aziz; Muhammad Umar Khan; Adil Usman; Muhammad Faraz; Yazeed Yasin Ghadi; Gabriel Axel Montes (Digit. Signal Process., 2025)