Survivability of Inoculated Versus Naturally Grown Bacteria in Liquid Foods under Pulsed Electric Fields. - Ayman H. El-Hag; Shesha H. Jayaram; Mansel W. Griffiths; R. Dadarwal (IAS, 2008)

Detection of Discharge Activities During Food Processing by Pulsed Electric Field. - Ahmed M. Gaouda; Ayman H. El-Hag; Shesha H. Jayaram (IAS, 2008)

A Performance Study of a Multi-Level Electrode Treatment Chamber for Food Processing. - Ayman H. El-Hag; Shesha H. Jayaram; Oscar Rodriguez; Mansel W. Griffiths (IAS, 2010)

Outdoor Insulators Testing Using Artificial Neural Network-Based Near-Field Microwave Technique. - Nasser N. Qaddoumi; Ayman H. El-Hag; Yasser Saker (IEEE Trans. Instrum. Meas., 2014)

Histogram-based thresholding in discrete wavelet transform for partial discharge signal denoising. - Ramy Hussein; Khaled Bashir Shaban; Ayman H. El-Hag (ICCSPA, 2015)

Utilizing digital image processing techniques to evaluate the condition of non-ceramic insulators. - Ibrahim Jarrar; Khaled Assaleh 001; Ayman H. El-Hag (ICCSPA, 2015)

Wavelet Transform With Histogram-Based Threshold Estimation for Online Partial Discharge Signal Denoising. - Ramy Hussein; Khaled Bashir Shaban; Ayman H. El-Hag (IEEE Trans. Instrum. Meas., 2015)

A Novel Bias Detection Technique for Partial Discharge Localization in Oil Insulation System. - Wasim M. F. Al-Masri; Mamoun F. Abdel-Hafez; Ayman H. El-Hag (IEEE Trans. Instrum. Meas., 2016)

Toward High-Accuracy Estimation of Partial Discharge Location. - Wasim M. F. Al-Masri; Mamoun F. Abdel-Hafez; Ayman H. El-Hag (IEEE Trans. Instrum. Meas., 2016)

Robust detection of acoustic partial discharge signals in noisy environments. - Ramy Hussein; Khaled Bashir Shaban; Ayman H. El-Hag (I2MTC, 2017)

Robust Feature Extraction and Classification of Acoustic Partial Discharge Signals Corrupted With Noise. - Ramy Hussein; Khaled Bashir Shaban; Ayman H. El-Hag (IEEE Trans. Instrum. Meas., 2017)

Intelligent Monitoring of Transformer Insulation Using Convolutional Neural Networks. - Wei Lee Woon; Zeyar Aung; Ayman H. El-Hag (DARE@PKDD/ECML, 2018)

Autonomous Drone-Based Powerline Insulator Inspection via Deep Learning. - Anas Muhammad; Adnan Shahpurwala; Shayok Mukhopadhyay; Ayman H. El-Hag (ROBOT (1), 2019)

Machine Learning-based Regression and Classification Models for Oil Assessment of Power Transformers. - Neha Kamalraj Bhatia; Ayman H. El-Hag; Khaled Bashir Shaban (ICIoT, 2020)

A Hybrid Estimation-Based Technique for Partial Discharge Localization. - Mohammad Avzayesh; Mamoun F. Abdel-Hafez; Wasim M. F. Al-Masri; Mohammad Al-Shabi; Ayman H. El-Hag (IEEE Trans. Instrum. Meas., 2020)

Application of Machine Learning to Evaluate Insulator Surface Erosion. - Amr Ibrahim; Ahmad I. Dalbah; Ayaat Abualsaud; Usman Tariq; Ayman H. El-Hag (IEEE Trans. Instrum. Meas., 2020)

Application of Machine Learning in Outdoor Insulators Condition Monitoring and Diagnostics. - Ayman H. El-Hag (IEEE Instrum. Meas. Mag., 2021)

Drone-Based Ceramic Insulators Condition Monitoring. - Danial Waleed; Shayok Mukhopadhyay; Usman Tariq; Ayman H. El-Hag (IEEE Trans. Instrum. Meas., 2021)

Smart Monitoring of Outdoor Insulators. - Abdulla Lutfi; Ayman H. El-Hag (ICCSPA, 2022)

Partial Discharge Localization in Power Transformers Using Invariant Extended Kalman Filter. - Wasim M. F. Al-Masri; Ali Wadi; Mamoun F. Abdel-Hafez; Hashim A. Hashim; Ayman H. El-Hag (IEEE Trans. Instrum. Meas., 2023)

CapsPDNet: Optimized Capsule Network for Predicting Insulator Discharges Using UHF Signals. - Mohammad AlShaikh Saleh; Ahmad Darwish; Ali Ghrayeb; Shady S. Refaat; Haitham Abu-Rub; Sunil P. Khatri; Ayman H. El-Hag; Celal Fadil Kumru (IEEE Trans. Instrum. Meas., 2025)