Mohamed Nayel | Electric Power System | Best Industrial Research Award

Best Industrial Research Award

Mohamed Nayel
Affiliation Assiut University
Country Egypt
Google Scholar ID Pv6_jnwAAAAJ
Documents 154
Citations 889
h-index 15
Subject Area Electric Power System
Event Global Academic Awards

Mohamed Nayel

Assiut University, Egypt

Mohamed Nayel of Assiut University, Egypt, is acknowledged for his academic engagement and research productivity in the field of Electric Power Systems, contributing to advancements in efficiency, stability, and modernization of energy infrastructures [1].

Abstract

This article presents a scholarly overview of Mohamed Nayel’s academic profile in relation to the Best Industrial Research Award under the Global Academic Awards framework. His research contributions in Electric Power Systems emphasize optimization, system stability, and industrial applicability. With a publication record spanning 154 documents and 889 citations, his academic trajectory reflects sustained engagement in energy systems research and applied engineering solutions [2].

Keywords

Electric Power System, Industrial Research, Energy Optimization, Smart Grid, Power Stability, Engineering Innovation.

Introduction

Industrial research in electrical engineering plays a critical role in modern infrastructure development. The Best Industrial Research Award highlights researchers who bridge theoretical innovation and industrial application. Mohamed Nayel’s academic work at Assiut University reflects contributions aligned with evolving energy system demands, particularly in optimizing electric power networks and improving operational reliability.

Research Profile

Mohamed Nayel’s research profile demonstrates consistent productivity in engineering and applied sciences. His work is primarily centered on Electric Power Systems, including grid performance, load management, and system efficiency. The academic output indicates interdisciplinary integration of computational methods and electrical engineering principles.

Research Contributions

His contributions include advancements in power system modeling, stability enhancement techniques, and optimization strategies for energy distribution networks. These contributions are relevant to industrial applications where reliability and efficiency are critical performance indicators.

Publications

The researcher has authored 154 scientific documents indexed in academic databases, with a citation count of 889 and an h-index of 15. These metrics indicate a moderate-to-strong academic influence within the field of electric power engineering.

Research Impact

The research impact of Mohamed Nayel is reflected in citation performance and relevance to industrial electrical systems. His work contributes to improving energy efficiency frameworks and supporting sustainable power system development in engineering applications.

Award Suitability

The Best Industrial Research Award recognizes researchers whose work demonstrates practical industrial relevance. Mohamed Nayel’s academic output in Electric Power Systems aligns with these criteria through applied research contributions and measurable academic impact.

Conclusion

The academic profile of Mohamed Nayel reflects sustained contributions to electrical engineering research. His work supports the advancement of industrial power systems and aligns with the objectives of the Best Industrial Research Award under Global Academic Awards.

External Links

References

  1. Scholar author details: Mohamed Nayel, Author ID Pv6_jnwAAAAJ. Scholar. https://scholar.google.com/citations?hl=en&user=Pv6_jnwAAAAJ&view_op=list_works&sortby=pubdate
  2. Global Academic Awards. (2026). Best Industrial Research Award – Official Description and Criteria. https://globalacademicawards.com/

Nedaa Al-Tawalbeh | Renewable energy | Best Researcher Award

Dr. Nedaa Al-Tawalbeh | Renewable energy | Best Researcher Award

Dr. Nedaa Al-Tawalbeh, Al al-Bayt University, Jordan

Dr. Nedaa Al-Tawalbeh is an Assistant Professor in the Department of Renewable Energy Engineering at Al al-Bayt University, Jordan. 🇯🇴 She holds a Ph.D. in Renewable Energy Engineering from Universiti Putra Malaysia, with expertise in solar energy, photovoltaics, hybrid PV/T systems, and smart grids. ⚡ She has authored multiple high-impact publications and contributes to cutting-edge research in MPPT algorithms and energy optimization. 🧠 Fluent in Arabic and English, she also excels in tools like MATLAB, Simulink, and DSP programming. ✨

Publication Profile

Scopus

Orcid

🎓 Academic Qualifications

Dr. Nedaa Al-Tawalbeh holds a Ph.D. in Renewable Energy Engineering–Solar Energy (2019–2022) from Universiti Putra Malaysia, where she specialized in photovoltaic systems and developed her thesis on advanced maximum power point tracking techniques using modified, hybrid, and trapezoidal rule approaches ⚡🔋. She earned her Master’s degree in Electrical Engineering (2014–2016) from Princess Sumaya University for Technology (PSUT), Amman, Jordan, and completed her Bachelor’s degree in Electronics Engineering (2006–2011) from Yarmouk University, Hijjawi Faculty for Engineering 🔌📘. Her academic journey reflects strong expertise in solar and sustainable energy technologies

💼 Employment History

Dr. Nedaa Al-Tawalbeh is currently serving as an Assistant Professor at Al al-Bayt University in the Department of Renewable and Sustainable Energy (2022–present) 🏫🔋. From 2019 to 2022, she worked as a researcher at the Advanced Lightning, Power and Energy Research (ALPER) Centre, Universiti Putra Malaysia, contributing to cutting-edge renewable energy projects ⚡🔬. Earlier, she served as a Teaching Assistant in the Electrical Engineering Department at Princess Sumaya University (2014–2016), supporting academic development in engineering education 📘👩‍🏫. She is fluent in both Arabic (native) and English 🌐🗣️, enabling effective communication in diverse academic and research environments.

🛠️ Technical Skills

Dr. Nedaa Al-Tawalbeh possesses a robust set of technical skills in electronics, programming, and renewable energy systems ⚙️💡. She is an expert in Texas Instrument (TMS320F28335) and Arduino DSPs 🔧📟. Her software expertise includes Code Composer Studio, MATLAB, Simulink, and renewable energy tools 🖥️📊. She is proficient in Cadence, Synopsis, and HSPICE tools for circuit design and analysis, along with PCB design and simulation software such as Proteus and Fritzing 🔬🔌. Additionally, she is skilled in LaTeX, BibTeX, Microsoft Office, Mathematica, Maple, and C++ programming 💾🧠, making her a versatile engineer in both hardware and software domains.

🔬 Research Focus

Dr. Nedaa Al-Tawalbeh’s research primarily centers on renewable energy systems, particularly solar photovoltaic (PV) technologies ☀️🔋. Her expertise includes maximum power point tracking (MPPT) algorithms, hybrid PV-thermoelectric systems, and adaptive control techniques for energy optimization ⚡📈. She also explores smart grid reliability, electricity theft detection using AI, and processor-in-loop testing for energy systems 🧠💡. With significant contributions to power electronics, energy conversion, and intelligent controllers, Dr. Al-Tawalbeh bridges hardware implementation with AI-driven solutions for sustainable energy applications 🌍🔌. Her interdisciplinary work spans engineering, sustainability, and smart energy systems

Conclusion

Dr. Nedaa Al-Tawalbeh is a highly qualified and impactful researcher in the field of renewable and sustainable energy, particularly in solar and photovoltaic systems. Her academic background, robust publication record, technical skills, and international collaborations make her a strong and deserving nominee for the Research for Best Researcher Award. Her work not only advances scientific understanding but also contributes toward global efforts in clean and efficient energy utilization.

Publication Top Notes

📄 Maximizing energy harvesting in grid‐connected hybrid PV and TEG systemsEnvironmental Progress & Sustainable Energy 📅 2025 🔗 [DOI:10.1002/ep.14621] 📑 Cited by: pending

📄 Novel initialization strategy for global MPPT optimizationResults in Engineering 📅 2024 🔗 [DOI:10.1016/j.rineng.2024.102067] 📑 Cited by: Scopus-indexed

📄 Intelligent Runge Kutta control for thermoelectric powerEnergy Conversion and Management: X 📅 2024 🔗 [DOI:10.1016/j.ecmx.2024.100612] 📑 Cited by: pending

📄 Federated learning model for electricity theft detectionEnergy Reports 📅 2023 🔗 [DOI:10.1016/j.egyr.2023.09.100] 📑 Cited by: Scopus-indexed

📄 Trapezoidal rule-based MPPT algorithmEnergy Conversion and Management 📅 2022 🔗 [DOI:10.1016/j.enconman.2022.115738] 📑 Cited by: Scopus-indexed

📄 Trapezoidal MPPT under complex shadingPECon 2020 Conference 📅 2020 🔗 [DOI:10.1109/PECon48942.2020.9314467] 📑 Cited by: Scopus-indexed

📄 Hybrid approach for PV power extractionSustainability 📅 2020 🔗 [DOI:10.3390/su12145786] 📑 Cited by: 90+

📄 Enhanced adaptive P&O technique for MPPTApplied Sciences 📅 2020 🔗 [DOI:10.3390/app10113912] 📑 Cited by: 60+

📄 Small-signal gain in CMOS analog amplifierICM Conference 📅 2016 🔗 [DOI:10.1109/ICM.2015.7437993] 📑 Cited by: 5+