Automated Semmes Weinstein monofilament examination replication using optical imaging and mechanical probe assembly. - Hafeez Ur Rehman Siddiqui; Michelle Spruce; Stephen R. Alty; Sandra E. M. Dudley (ISBI, 2015)

Automated Peripheral Neuropathy Assessment Using Optical Imaging and Foot Anthropometry. - Hafeez Ur Rehman Siddiqui; Michelle Spruce; Stephen R. Alty; Sandra E. M. Dudley (IEEE Trans. Biomed. Eng., 2015)

UWB localization employing supervised learning method. - Soumya Prakash Rana; Maitreyee Dey; Hafeez Ur Rehman Siddiqui; Gianluigi Tiberi; Mohammad Ghavami; Sandra E. M. Dudley (ICUWB, 2017)

A Review on Smart IOT Based Parking System. - Adil Ali Saleem; Hafeez Ur Rehman Siddiqui; Rahman Shafique; Abdullah Haider; Muhammad Ali (SCDM, 2020)

Wireless Capsule Endoscopy Bleeding Images Classification Using CNN Based Model. - Furqan Rustam; Muhammad Abubakar Siddique; Hafeez Ur Rehman Siddiqui; Saleem Ullah; Arif Mehmood; Imran Ashraf; Gyu Sang Choi (IEEE Access, 2021)

Extensive hotel reviews classification using long short term memory. - Abid Ishaq; Muhammad Umer; Muhammad Faheem Mushtaq; Carlo Maria Medaglia; Hafeez Ur Rehman Siddiqui; Arif Mehmood; Gyu Sang Choi (J. Ambient Intell. Humaniz. Comput., 2021)

A Novel Approach to Railway Track Faults Detection Using Acoustic Analysis. - Rahman Shafique; Hafeez Ur Rehman Siddiqui; Furqan Rustam; Saleem Ullah; Muhammad Abubakar Siddique; Ernesto Lee; Imran Ashraf; Sandra E. M. Dudley (Sensors, 2021)

Non-Invasive Driver Drowsiness Detection System. - Hafeez Ur Rehman Siddiqui; Adil Ali Saleem; Robert A. Brown; Bahattin Bademci; Ernesto Lee; Furqan Rustam; Sandra E. M. Dudley (Sensors, 2021)

Respiration Based Non-Invasive Approach for Emotion Recognition Using Impulse Radio Ultra Wide Band Radar and Machine Learning. - Hafeez Ur Rehman Siddiqui; Hina Fatima Shahzad; Adil Ali Saleem; Abdul Baqi Khan Khakwani; Furqan Rustam; Ernesto Lee; Imran Ashraf; Sandra E. M. Dudley (Sensors, 2021)

GLOS: a global and local features oriented link prediction technique in social network. - Mamoona Qadir; Abdul Samad; Hafeez Ur Rehman Siddiqui (EAI Endorsed Trans. Scalable Inf. Syst., 2021)

IoT Based Railway Track Faults Detection and Localization Using Acoustic Analysis. - Hafeez Ur Rehman Siddiqui; Adil Ali Saleem; Muhammad Amjad Raza; Kainat Zafar; Kashif Munir; Sandra E. M. Dudley (IEEE Access, 2022)

Railway Track Inspection Using Deep Learning Based on Audio to Spectrogram Conversion: An on-the-Fly Approach. - Muhammad Shadab Alam Hashmi; Muhammad Ibrahim 003; Imran Sarwar Bajwa; Hafeez Ur Rehman Siddiqui; Furqan Rustam; Ernesto Lee; Imran Ashraf (Sensors, 2022)

Automatic User Preferences Selection of Smart Hearing Aid Using BioAid. - Hafeez Ur Rehman Siddiqui; Adil Ali Saleem; Muhammad Amjad Raza; Kainat Zafar; Riccardo Russo; Sandra E. M. Dudley (Sensors, 2022)

Deep Learning-Based Feature Engineering to Detect Anterior and Inferior Myocardial Infarction Using UWB Radar Data. - Kainat Zafar; Hafeez Ur Rehman Siddiqui; Abdul Majid; Adil Ali Saleem; Ali Raza; Furqan Rustam; Sandra E. M. Dudley (IEEE Access, 2023)

Predicting bankruptcy of firms using earnings call data and transfer learning. - Hafeez Ur Rehman Siddiqui; Beatriz Sainz de Abajo; Isabel de la Torre Díez; Furqan Rustam; Muhammad Amjad Raza; Sajjad Atta; Imran Ashraf (PeerJ Comput. Sci., 2023)

Predicting Household Electric Power Consumption Using Multi-step Time Series with Convolutional LSTM. - Lucia Cascone; Saima Sadiq; Saleem Ullah; Seyedali Mirjalili; Hafeez Ur Rehman Siddiqui; Muhammad Umer (Big Data Res., 2023)

Emotion classification using temporal and spectral features from IR-UWB-based respiration data. - Hafeez Ur Rehman Siddiqui; Kainat Zafar; Adil Ali Saleem; Muhammad Amjad Raza; Sandra E. M. Dudley; Furqan Rustam; Imran Ashraf (Multim. Tools Appl., 2023)

Railway Track Fault Detection Using Selective MFCC Features from Acoustic Data. - Furqan Rustam; Abid Ishaq; Muhammad Shadab Alam Hashmi; Hafeez Ur Rehman Siddiqui; Luis Alonso Dzul López; Juan Castanedo Galán; Imran Ashraf (Sensors, 2023)

Enhancing Cricket Performance Analysis with Human Pose Estimation and Machine Learning. - Hafeez Ur Rehman Siddiqui; Faizan Younas; Furqan Rustam; Emmanuel Soriano Flores; Julien Brito Ballester; Isabel de la Torre Díez; Sandra E. M. Dudley; Imran Ashraf (Sensors, 2023)

Enhancing Diagnosis of Anterior and Inferior Myocardial Infarctions Using UWB Radar and AI-Driven Feature Fusion Approach. - Kainat Zafar; Hafeez Ur Rehman Siddiqui; Abdul Majid; Furqan Rustam; Sultan Alfarhood; Mejdl S. Safran; Imran Ashraf (Sensors, 2023)

A performance overview of machine learning-based defense strategies for advanced persistent threats in industrial control systems. - Muhammad Ali Imran 001; Hafeez Ur Rehman Siddiqui; Ali Raza; Muhammad Amjad Raza; Furqan Rustam; Imran Ashraf (Comput. Secur., 2023)

IoT-Based Smart Biofloc Monitoring System for Fish Farming Using Machine Learning. - Muhammad Adeel Abid; Madiha Amjad; Kashif Munir; Hafeez Ur Rehman Siddiqui; Anca Delia Jurcut (IEEE Access, 2024)

A Synergistic Approach to Colon Cancer Detection: Leveraging EfficientNet and NSGA-II for Enhanced Diagnostic Performance. - Noushin Saba; Afia Zafar; Mohsin Suleman; Kainat Zafar; Shahneer Zafar; Adil Ali Saleem; Hafeez Ur Rehman Siddiqui; Muhammad Iqbal; Syed Sajid Ullah (IEEE Access, 2024)

Improving Automated PSN Assessment in Type 2 Diabetes: A Study on Plantar Lesion Recognition and Probe Avoidance Techniques. - Hafeez Ur Rehman Siddiqui; Riccardo Russo; Adil Ali Saleem; Sandra E. M. Dudley; Furqan Rustam (IEEE Access, 2024)

Gender classification based on gait analysis using ultrawide band radar augmented with artificial intelligence. - Adil Ali Saleem; Hafeez Ur Rehman Siddiqui; Rukhshanda Sehar; Sandra E. M. Dudley (Expert Syst. Appl., 2024)

Footwear-integrated force sensing resistor sensors: A machine learning approach for categorizing lower limb disorders. - Hafeez Ur Rehman Siddiqui; Muhammad S. Nawaz; Muhammad Saeed; Adil Ali Saleem; Muhammad Amjad Raza; Ali Raza; Muhammad Ahsan; Sandra E. M. Dudley (Eng. Appl. Artif. Intell., 2024)

Artificial intelligence-based myocardial infarction diagnosis: a comprehensive review of modern techniques. - Hafeez Ur Rehman Siddiqui; Kainat Zafar; Adil Ali Saleem; Rukhshanda Sehar; Furqan Rustam; Sandra E. M. Dudley; Imran Ashraf (Multim. Tools Appl., 2024)

Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence. - Hafeez Ur Rehman Siddiqui; Ambreen Akmal; Muhammad Iqbal; Adil Ali Saleem; Muhammad Amjad Raza; Kainat Zafar; Aqsa Zaib; Sandra E. M. Dudley; Jon Arambarri; Ángel Kuc Castilla; Furqan Rustam (Sensors, 2024)

Therapeutic Exercise Recognition Using a Single UWB Radar with AI-Driven Feature Fusion and ML Techniques in a Real Environment. - Shahzad Hussain; Hafeez Ur Rehman Siddiqui; Adil Ali Saleem; Muhammad Amjad Raza; Josep Alemany Iturriaga; Alvaro Velarde-Sotres; Isabel de la Torre Díez (Sensors, 2024)

Smart Physiotherapy: Advancing Arm-Based Exercise Classification with PoseNet and Ensemble Models. - Shahzad Hussain; Hafeez Ur Rehman Siddiqui; Adil Ali Saleem; Muhammad Amjad Raza; Josep Alemany Iturriaga; Alvaro Velarde-Sotres; Isabel de la Torre Díez; Sandra E. M. Dudley (Sensors, 2024)

Enhancing Power Grid Reliability With Machine Learning and Auxiliary Classifier Generative Adversarial Networks: A Study on Fault Detection Using the Georgia Electric System Load Dataset. - Hafeez Ur Rehman Siddiqui; Robert A. Brown; Adil Ali Saleem; Muhammad Amjad Raza; Sandra E. M. Dudley (IEEE Access, 2025)

Ultra Wideband radar-based gait analysis for gender classification using artificial intelligence. - Adil Ali Saleem; Hafeez Ur Rehman Siddiqui; Muhammad Amjad Raza; Sandra E. M. Dudley; Julio César Martínez Espinosa; Luis Alonso Dzul López; Isabel de la Torre Díez (Array, 2025)

Ventilator pressure prediction employing voting regressor with time series data of patient breaths. - Ali Raza; Furqan Rustam; Hafeez Ur Rehman Siddiqui; Emmanuel Soriano Flores; Juan Luís Vidal Mazón; Isabel de la Torre Díez; Maria Asunción Vicente; Imran Ashraf (Health Informatics J., 2025)