M.M.R. Ahmed

About

M. M. R. Ahmed (M'00) was born in Cairo, Egypt, in 1967. He received a Ph.D. degree in electrical power engineering from Northumbria University, Newcastle-upon-Tyne, U.K., in 2002. In December 2002 He became a Lecturer at the Industrial Education College, Helwan University, Cairo, Egypt. From September 2006 to June 2007 He was a Research Fellow with Northumbria University, UK, he was involved in research on Grid-connected Induction generators. From July 2007 to September 2009 He was a Research Fellow with Warwick University, Coventry, UK. He was involved in developing a Solid State Power Controller to be used in Electric Aircraft in collaboration with GE Aviation. From 2010 to now He work as Associated Professor at the Faculty of Technology and Education, Helwan University, Cairo, Egypt. He has more than 18 years of research experience in electrical power engineering and has published over 20 publications in journals and conferences. His research interests are the application of power electronics in power systems, particularly flexible ac transmission systems (FACTS), custom power technology, distributed generation, and active control of power distribution networks

Employment

• Helwan University

Education

• Northumbria University

Projects & Funding

Projects & funding information is unavailable.

Publications (72)

• A high-precision single-end DC signal–based framework for fault detection, classification, and localization in HVDC transmission lines
  Results in Engineering 2026 DOI: 10.1016/j.rineng.2026.111960
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• Deep Learning and Few‐Shot Learning–Enabled Machine Health Monitoring for Rotating Machinery: A Critical Review of Vibration‐Based Fault Diagnosis, Prognostics, and Industrial Deployment
  Quality and Reliability Engineering International 2026 DOI: 10.1002/qre.70302
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• DOA-enhanced charge simulation method for accurate electric-field evaluation and optimized mitigation under 750 kV transmission lines
  Global Energy Interconnection 2026 DOI: 10.1016/j.gloei.2026.09.001
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• Optimal control design and real time implementation of standalone microgrid using hybrid optimization technique
  Global Energy Interconnection 2026 DOI: 10.1016/j.gloei.2026.05.012
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• Unsupervised fault detection in VSC-HVDC transmission lines via wavelet with autoencoder and k-means clustering framework for fault classification
  International Journal of Electrical Power & Energy Systems 2026 DOI: 10.1016/j.ijepes.2026.112242
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• Adaptive and resilient protection coordination in smart microgrids enabled by a directional fault current limiter
  PLOS One 2026 DOI: 10.1371/journal.pone.0356375
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• Enhanced fault detection and classification in monopolar HVDC transmission lines using MODWT and AI technique
  Energy Reports 2026 DOI: 10.1016/j.egyr.2026.109305
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• A Novel Framework for Evaluating Functional Equity in Urban EV Charging Infrastructure
  2026 8th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE) 2026 DOI: DOI: 10.1109/REEPE69046.2026.11481337
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• Analysis and Design of Photovoltaic-Powered Dualstage Plug-in Electric Vehicles Charging Infrastructure
  2026 DOI: DOI: 10.1109/REEPE69046.2026.11481362
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• Comprehensive Modeling and Optimization of AC Interference Mitigation on Buried Pipelines Under EHV Transmission Lines
  2026 8th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE) 2026 DOI: DOI: 10.1109/REEPE69046.2026.11481386
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• DC Signal Variation Coefficient Based on a Hybrid DWT and AI Framework for Fault Analysis in HVDC Transmission Lines
  2026 8th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE) 2026 DOI: 10.1109/REEPE69046.2026.11481208
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• Intelligent AI-Based EV Charging Network for Optimizing Demand and Live Slot Availability
  2026 8th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE) 2026 DOI: 10.1109/REEPE69046.2026.11481399
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• Seasonal Investigation of Energy Costs and Carbon Emissions in Hydrogen-Based Renewable Energy Microgrids and Electric Vehicles
  2026 DOI: 10.1109/REEPE69046.2026.11481405
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• Hybrid Brown-Bear and Hippopotamus Optimization with Quasi-Opposition-Based Learning for Optimal Power Flow with Renewable Energy Integration
  Computers and Electrical Engineering 2026 DOI: 10.1016/j.compeleceng.2025.110922
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• Enhanced distance protection for HVDC lines using adaptive neuro-fuzzy inference systems
  PLOS One 2026 DOI: 10.1371/journal.pone.0338629
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• A High-Precision Single-End DC Signal–Based Framework for Fault Detection, Classification, and Localization in HVDC Transmission Lines
  2026 DOI: 10.2139/ssrn.6713118
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• A Robust Fault Diagnosis Framework for Sallen-Key Active Filters based on EEMD-DWT and Deep Autoencoder-ANN Approach
  2026 DOI: 10.2139/ssrn.7583701
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• AI-Enhanced Fault Diagnosis for Grid-Connected Photovoltaic Systems Using Advanced Signal Processing Techniques
  2026 DOI: 10.2139/ssrn.7102045
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• Enhancing Electric Grid Flexibility for the Integration of Variable Renewable Energy: Challenges, Innovations, and Future Directions
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3660837
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• Improved Control Approaches for Dynamic Voltage Restoration in Doubly Fed Induction Generator-Based Wind Turbines
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3654897
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