Nedaa Al-Tawalbeh | Renewable energy | Best Researcher Award

Published on by Global Academic Awards

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. πŸ‡―πŸ‡΄ 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

πŸŽ“ 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 βš‘πŸ”‹. 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 πŸ”ŒπŸ“˜. Her academic journey reflects strong expertise in solar and sustainable energy technologies

πŸ’Ό 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) πŸ«πŸ”‹. 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 βš‘πŸ”¬. Earlier, she served as a Teaching Assistant in the Electrical Engineering Department at Princess Sumaya University (2014–2016), supporting academic development in engineering education πŸ“˜πŸ‘©β€πŸ«. She is fluent in both Arabic (native) and English πŸŒπŸ—£οΈ, enabling effective communication in diverse academic and research environments.

πŸ› οΈ Technical Skills

Dr. Nedaa Al-Tawalbeh possesses a robust set of technical skills in electronics, programming, and renewable energy systems βš™οΈπŸ’‘. She is an expert in Texas Instrument (TMS320F28335) and Arduino DSPs πŸ”§πŸ“Ÿ. Her software expertise includes Code Composer Studio, MATLAB, Simulink, and renewable energy tools πŸ–₯οΈπŸ“Š. 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 πŸ”¬πŸ”Œ. Additionally, she is skilled in LaTeX, BibTeX, Microsoft Office, Mathematica, Maple, and C++ programming πŸ’ΎπŸ§ , making her a versatile engineer in both hardware and software domains.

πŸ”¬ Research Focus

Dr. Nedaa Al-Tawalbeh’s research primarily centers on renewable energy systems, particularly solar photovoltaic (PV) technologies β˜€οΈπŸ”‹. Her expertise includes maximum power point tracking (MPPT) algorithms, hybrid PV-thermoelectric systems, and adaptive control techniques for energy optimization βš‘πŸ“ˆ. She also explores smart grid reliability, electricity theft detection using AI, and processor-in-loop testing for energy systems πŸ§ πŸ’‘. 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 πŸŒπŸ”Œ. 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

πŸ“„ Maximizing energy harvesting in grid‐connected hybrid PV and TEG systems – Environmental Progress & Sustainable Energy πŸ“… 2025 πŸ”— [DOI:10.1002/ep.14621] πŸ“‘ Cited by: pending

πŸ“„ Novel initialization strategy for global MPPT optimization – Results in Engineering πŸ“… 2024 πŸ”— [DOI:10.1016/j.rineng.2024.102067] πŸ“‘ Cited by: Scopus-indexed

πŸ“„ Intelligent Runge Kutta control for thermoelectric power – Energy Conversion and Management: X πŸ“… 2024 πŸ”— [DOI:10.1016/j.ecmx.2024.100612] πŸ“‘ Cited by: pending

πŸ“„ Federated learning model for electricity theft detection – Energy Reports πŸ“… 2023 πŸ”— [DOI:10.1016/j.egyr.2023.09.100] πŸ“‘ Cited by: Scopus-indexed

πŸ“„ Trapezoidal rule-based MPPT algorithm – Energy Conversion and Management πŸ“… 2022 πŸ”— [DOI:10.1016/j.enconman.2022.115738] πŸ“‘ Cited by: Scopus-indexed

πŸ“„ Trapezoidal MPPT under complex shading – PECon 2020 Conference πŸ“… 2020 πŸ”— [DOI:10.1109/PECon48942.2020.9314467] πŸ“‘ Cited by: Scopus-indexed

πŸ“„ Hybrid approach for PV power extraction – Sustainability πŸ“… 2020 πŸ”— [DOI:10.3390/su12145786] πŸ“‘ Cited by: 90+

πŸ“„ Enhanced adaptive P&O technique for MPPT – Applied Sciences πŸ“… 2020 πŸ”— [DOI:10.3390/app10113912] πŸ“‘ Cited by: 60+

πŸ“„ Small-signal gain in CMOS analog amplifier – ICM Conference πŸ“… 2016 πŸ”— [DOI:10.1109/ICM.2015.7437993] πŸ“‘ Cited by: 5+