World's Best Scientists 2026 revealed!
Karar Mahmoud

Karar Mahmoud

D-Index & Metrics

Engineering and Technology

D-Index
46
Citations
6423
World Ranking
5287
National Ranking
16

Overview

Karar Mahmoud is affiliated with Aswan University in Egypt and has contributed extensively to the field of engineering, with a primary focus on electrical and electronic engineering. Their published research spans various subfields including control and systems engineering, automotive engineering, materials chemistry, and renewable energy, sustainability, and the environment.

Mahmoud's research topics cover several key areas within energy systems and electrical engineering. These include:

  • Microgrid control and optimization
  • Smart grid energy management
  • Optimal power flow distribution
  • Electric vehicles and infrastructure
  • Advanced battery technologies research
  • High voltage insulation and dielectric phenomena
  • Energy load and power forecasting

The scientist has published frequently in a number of specific research venues, with the highest number of publications in IEEE Access. Other notable venues with several publications include Energy Science & Engineering, Sensors, Electric Power Systems Research, and Applied Sciences.

Karar Mahmoud's recent published papers demonstrate a focus on renewable energy systems, fault diagnosis, and deep learning applications in electrical engineering contexts. Selected papers include:

  • "An Efficient Fuzzy-Logic Based Variable-Step Incremental Conductance MPPT Method for Grid-Connected PV Systems," 2021, IEEE Access
  • "Effective IoT-based deep learning platform for online fault diagnosis of power transformers against cyberattacks and data uncertainties," 2022, Measurement
  • "Promising MPPT Methods Combining Metaheuristic, Fuzzy-Logic and ANN Techniques for Grid-Connected Photovoltaic," 2021, Sensors
  • "Deep Learning-Based Industry 4.0 and Internet of Things towards Effective Energy Management for Smart Buildings," 2021, Sensors
  • "Experimental Setup for Online Fault Diagnosis of Induction Machines via Promising IoT and Machine Learning: Towards Industry 4.0 Empowerment," 2021, IEEE Access

Throughout their career, Mahmoud has collaborated regularly with several coauthors. The most frequent collaborators include Matti Lehtonen, Mohamed M. F. Darwish, Abdelfatah Ali, Mahmoud Elsisi, and Hossam H. H. Mousa. These collaborations represent significant portions of Mahmoud's research output.

Best Publications

  • Accurate photovoltaic power forecasting models using deep LSTM-RNN

    Mohamed Abdel-Nasser;Karar Mahmoud

  • Optimal Distributed Generation Allocation in Distribution Systems for Loss Minimization

    Karar Mahmoud;Naoto Yorino;Abdella Ahmed

  • An Efficient Fuzzy-Logic Based Variable-Step Incremental Conductance MPPT Method for Grid-Connected PV Systems

    Mahmoud N. Ali;Karar Mahmoud;Matti Lehtonen;Mohamed M. F. Darwish

  • Reliable Deep Learning and IoT-Based Monitoring System for Secure Computer Numerical Control Machines Against Cyber-Attacks With Experimental Verification

    Unknown

  • Promising MPPT Methods Combining Metaheuristic, Fuzzy-Logic and ANN Techniques for Grid-Connected Photovoltaic.

    Mahmoud N. Ali;Karar Mahmoud;Karar Mahmoud;Matti Lehtonen;Mohamed M. F. Darwish;Mohamed M. F. Darwish

  • Deep Learning-Based Industry 4.0 and Internet of Things towards Effective Energy Management for Smart Buildings.

    Mahmoud Elsisi;Mahmoud Elsisi;Minh Quang Tran;Karar Mahmoud;Karar Mahmoud;Matti Lehtonen

  • Comprehensive Review on Renewable Energy Sources in Egypt—Current Status, Grid Codes and Future Vision

    Unknown

  • Experimental Setup for Online Fault Diagnosis of Induction Machines via Promising IoT and Machine Learning: Towards Industry 4.0 Empowerment

    Minh-Quang Tran;Mahmoud Elsisi;Karar Mahmoud;Meng-Kun Liu

  • Reliable Solar Irradiance Forecasting Approach Based on Choquet Integral and Deep LSTMs

    Mohamed Abdel-Nasser;Karar Mahmoud;Matti Lehtonen

  • Robust Design of ANFIS-Based Blade Pitch Controller for Wind Energy Conversion Systems Against Wind Speed Fluctuations

    Mahmoud Elsisi;Minh-Quang Tran;Karar Mahmoud;Matti Lehtonen

  • Reliable Industry 4.0 Based on Machine Learning and IoT for Analyzing, Monitoring, and Securing Smart Meters.

    Mahmoud Elsisi;Mahmoud Elsisi;Karar Mahmoud;Karar Mahmoud;Matti Lehtonen;Mohamed M. F. Darwish;Mohamed M. F. Darwish

  • An Improved Neural Network Algorithm to Efficiently Track Various Trajectories of Robot Manipulator Arms

    Mahmoud Elsisi;Karar Mahmoud;Matti Lehtonen;Mohamed M. F. Darwish

  • Optimal Harmonic Mitigation in Distribution Systems with Inverter Based Distributed Generation

    Ahmed S. Abbas;Ragab A. El-Sehiemy;Adel Abou El-Ela;Eman Salah Ali

  • An optimal network constraint-based joint expansion planning model for modern distribution networks with multi-types intermittent RERs

    Unknown

  • Maximizing Hosting Capacity of Uncertain Photovoltaics by Coordinated Management of OLTC, VAr Sources and Stochastic EVs

    Abdelfatah Ali;Karar Mahmoud;Karar Mahmoud;Matti Lehtonen

  • Adaptive LFC incorporating modified virtual rotor to regulate frequency and tie-line power flow in multi-area microgrids

    Unknown

  • A novel unified planning model for distributed generation and electric vehicle charging station considering multi-uncertainties and battery degradation

    Unknown

  • Towards Secured Online Monitoring for Digitalized GIS Against Cyber-Attacks Based on IoT and Machine Learning

    Mahmoud Elsisi;Minh-Quang Tran;Karar Mahmoud;Diaa-Eldin A. Mansour

  • Towards Precise Interpretation of Oil Transformers via Novel Combined Techniques Based on DGA and Partial Discharge Sensors

    Sayed A. Ward;Sayed A. Ward;Adel El-Faraskoury;Mohamed Badawi;Shimaa A. Ibrahim

  • Enhancing Diagnostic Accuracy of Transformer Faults Using Teaching-Learning-Based Optimization

    Sherif S. M. Ghoneim;Karar Mahmoud;Matti Lehtonen;Mohamed M. F. Darwish

  • Novel Control Strategy for Enhancing Microgrid Operation Connected to Photovoltaic Generation and Energy Storage Systems

    Dina Emara;Mohamed Ezzat;Almoataz Y. Abdelaziz;Karar Mahmoud

  • Optimal Placement and Sizing of Uncertain PVs Considering Stochastic Nature of PEVs

    Abdelfatah Ali;David Raisz;Karar Mahmoud;Matti Lehtonen

  • Estimating Parameters of Photovoltaic Models Using Accurate Turbulent Flow of Water Optimizer

    Mokhtar Said;Abdullah M. Shaheen;Ahmed R. Ginidi;Ragab A. El-Sehiemy

  • Assessment of an Improved Three-Diode against Modified Two-Diode Patterns of MCS Solar Cells Associated with Soft Parameter Estimation Paradigms

    Ahmed S. Bayoumi;Ragab A. El-Sehiemy;Karar Mahmoud;Matti Lehtonen

  • Optimal oversizing of utility-owned renewable DG inverter for voltage rise prevention in MV distribution systems

    Abdelfatah Ali;Abdelfatah Ali;David Raisz;Karar Mahmoud

Frequent Co-Authors

Matti Lehtonen
Matti Lehtonen Aalto University
Mohamed M. F. Darwish
Mohamed M. F. Darwish Benha University
Salah Kamel
Salah Kamel Aswan University
Ragab A. El-Sehiemy
Ragab A. El-Sehiemy Kafrelsheikh University
Ahmed M. Rashad
Ahmed M. Rashad Aswan University
Almoataz Y. Abdelaziz
Almoataz Y. Abdelaziz Ain Shams University
Francisco Jurado
Francisco Jurado University of Jaén
Sherif S. M. Ghoneim
Sherif S. M. Ghoneim Taif University
Khaled M. Rabie
Khaled M. Rabie King Fahd University of Petroleum and Minerals
Abdullah M. Shaheen
Abdullah M. Shaheen Suez University

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