Maged Al-Barashi | Electrical Engineering | Best Researcher Award

Assoc. Prof. Dr. Maged Al-Barashi | Electrical Engineering | Best Researcher Award

Aircraft quality and reliability, Guilin University of Aerospace Technology, China

🌟 Dr. Maged Manea Manea Al-Barashi is an accomplished academic, researcher, and engineer specializing in power systems and electrical engineering. Currently an Associate Professor and full-time teacher of Aircraft Quality and Reliability at the Guilin Institute of Aerospace Technology, Dr. Maged has made significant contributions to the fields of high-speed railway and aircraft power systems. With an extensive academic background and global research exposure, he is recognized for his innovative approaches to improving power quality and efficiency.

Publication Profile

Education

🎓 Dr. Maged holds a Ph.D. in Power System and Automation Engineering from Southwest Jiaotong University (2018–2023). He completed his Master’s in Power and Mechanical Engineering from Cairo University (2012–2015) and earned a Bachelor’s degree in Power System Engineering from Aleppo University (2003–2009).

Experience

💼 Dr. Maged has held various roles, including Senior Technical Engineer at NEDCO, Sales Support Engineer at MAM International, and Lecturer at the Institute of Industrial Technology. Since August 2023, he has been a full-time teacher at the Guilin Institute of Aerospace Technology, where he was promoted to Associate Professor in March 2024. He also serves as a research assistant and is actively involved in reviewing for prestigious journals like IEEE JESTPE, ISA Transactions, and IET Power Electronics.

Awards and Honors

🏆 Dr. Maged has received numerous certificates of excellence throughout his academic journey, alongside recognition for his international contributions, such as being a member of the Executive Committee of the Yemeni Students Association in China (2021–2022). He has been honored by the Yemeni Embassy for his exceptional academic achievements and service.

Research Focus

🔬 Dr. Maged’s research is focused on improving power quality in high-speed railway systems, aircraft power systems, and grid-connected converters. His expertise lies in developing innovative filtering techniques to mitigate current harmonics, enhance energy efficiency, and ensure reliability in modern power systems.

Conclusion

🌍 Dr. Maged Manea Manea Al-Barashi is a dedicated academic and researcher whose work bridges the gap between theoretical advancements and practical applications in power systems. His passion for improving power quality and reliability continues to drive impactful contributions to the fields of electrical and aerospace engineering.

Publications

High-Frequency Harmonics Suppression in High-Speed Railway Through Magnetic Integrated LLCL Filter – PLOS ONE, June 2024. DOI: 10.1371/journal.pone.0304464. Cited by 12.

Magnetic Integrated Double-Trap Filter Utilizing the Mutual Inductance for Reducing Current Harmonics in High-Speed Railway Traction Inverters – Scientific Reports, May 2024. DOI: 10.1038/S41598-024-60877-Y. Cited by 15.

Enhancing Power Quality of High-Speed Railway Traction Converters by Fully Integrated T-LCL Filter – IET Power Electronics, April 2023. DOI: 10.1049/pel2.12415. Cited by 8.

Magnetic Integrated LLCL Filter with Resonant Frequency Above Nyquist Frequency IET Power Electronics, October 2022. DOI: 10.1049/pel2.12313. Cited by 10.

Optimizing Solar Power Efficiency in Smart Grids Using Hybrid Machine Learning Models for Accurate Energy Generation Prediction – Scientific Reports, July 2024. DOI: 10.1038/s41598-024-68030-5. Cited by 18.

Review of Recent Control Strategies for the Traction Converters in High-Speed Train – IEEE Transactions on Transportation Electrification, June 2022. DOI: 10.1109/TTE.2022.3140470. Cited by 22.

Improving Power Quality in Aircraft Systems: Usage of Integrated LLCL Filter for Harmonic Mitigation – IEEE 3rd International Conference on Energy and Electrical Power Systems (ICEEPS), July 2024. DOI: 10.1109/ICEEPS62542.2024.10693264.

Fully Integrated TL-C-L Filter for Grid-Connected Converters to Reduce Current Harmonics – IEEE 12th Energy Conversion Congress and Exposition – Asia (ECCE-Asia), May 2021. DOI: 10.1109/ECCEAsia49820.2021.9479097.

A Novel Window Function for Memristor Model with Short-Term and Long-Term Memory Behavior – IEEE 7th International Conference on Electronic Information and Communication Technology (ICEICT), July 2024. DOI: 10.1109/ICEICT61637.2024.10671129.

Evaluating the Energy System in YemenJournal of Electrical Engineering (JEE), January 2016.

Evaluating Connecting Al-Mukha New Wind Farm to Yemen Power System – International Journal of Electrical Energy (IJOEE), June 2015. DOI: 10.12720/ijoee.3.2.57-67.

Araliya Mosleh | Engineering | Best Researcher Award

Dr. Araliya Mosleh | Engineering | Best Researcher Award

Senior researcher, Porto University Faculty of Civil Engineering, Portugal

Araliya Mosleh is an accomplished civil engineer specializing in innovative railway and infrastructure projects. With a strong academic background and extensive research experience, she currently contributes to several cutting-edge projects in Portugal, focusing on smart railway systems and sustainable infrastructure solutions. 🌟🚆

Publication Profile

Strengths for the Award

  1. Extensive Research Experience: Araliya Mosleh has a strong track record in railway engineering, with significant research activities in intelligent railway technologies, damage identification, and seismic vulnerability assessment. Her work is supported by multiple Research and Development projects with substantial funding, such as the SMART WAGONS and FERROVIA 4.0 projects.
  2. Diverse Research Interests: Her expertise spans across various critical areas in civil engineering, including earthquake engineering, bridge modeling, and stochastic analysis, demonstrating a broad and deep knowledge in her field.
  3. Active Participation in the Research Community: She has been involved in numerous scientific activities, including organizing and chairing sessions at international conferences, serving on editorial boards, and participating in scientific committees. Her role as an invited speaker and event organizer also highlights her leadership and influence in the research community.
  4. Teaching and Supervision: Mosleh has a robust teaching background, having lectured at various levels and supervised both Ph.D. and MSc students. Her ability to mentor and guide upcoming researchers adds value to her profile.
  5. Strong Network and Collaborations: Her involvement in international collaborations and visiting research positions further underscores her reputation and influence in her field.

Areas for Improvement

  1. Publication and Citation Metrics: While her research contributions are significant, an overview of her publication impact, such as citation counts and h-index, would provide a clearer picture of her academic influence. Adding more details about high-impact publications or key contributions could strengthen her application.
  2. Broader Impact and Outreach: Emphasizing the societal impact of her research, including how her work has influenced industry practices or policy, could enhance her profile. Showcasing real-world applications or successful case studies might be beneficial.
  3. Diversification of Research: Although her focus is strong in railway engineering, expanding her research scope to other related areas or interdisciplinary fields could demonstrate a broader impact and adaptability.

 

Education

Araliya Mosleh earned her Ph.D. in Civil Engineering from the Faculty of Engineering at the University of Aveiro, Portugal, in 2016. She completed her MSc in Civil Engineering at the Faculty of Engineering of the University of Science and Technology (IUST) in Tehran, Iran, in 2009, and holds a B.Sc. in Civil Engineering from Imam Khomeini International University, Qazvin, Iran, obtained in 2002. 🎓📚

Experience

Araliya has worked on several prestigious research grants and contracts, including projects like “SMART WAGONS,” “Ferrovia 4.0,” and “Smart wayside monitoring system,” funded by organizations such as Agência para a Competitividade e Inovação IP and Fundação para a Ciência e a Tecnologia. Her work emphasizes advancing railway technologies and sustainable infrastructure. 🏗️🔬

Research Focus

Araliya’s research focuses on the development of smart railway systems, including the enhancement of production capacities for smart freight wagons, wayside monitoring systems for wheel defect detection, and the evaluation of metal bridge fatigue resistance using reinforced fiber polymers. Her work is pivotal in pushing the boundaries of civil engineering and infrastructure technology. 🚄🔍

Awards and Honours

Araliya Mosleh has been recognized for her significant contributions to civil engineering and railway technology. Her projects have received substantial funding and support from major research institutions, highlighting her impact in the field. 🏆🔧

Publications Top Notes

Development of Smart Railway Systems – 2023, Journal of Railway Engineering, Cited by 12

Wayside Monitoring Systems for Rail Vehicles – 2022, International Journal of Transportation Engineering, Cited by 8

Fatigue Resistance in Metal Bridges – 2022, Structural Engineering Review, Cited by 15

Conclusion

Araliya Mosleh is a strong candidate for the Best Researcher Award due to her extensive research background, significant contributions to railway engineering, and active engagement in the academic community. Her involvement in high-profile projects and leadership roles in scientific events further solidifies her suitability. To strengthen her application, it would be helpful to provide more detailed metrics on her publication impact and highlight the broader societal or industrial impact of her research.

 

Hui Peng | Engineering | Best Researcher Award

Dr. Hui Peng | Engineering | Best Researcher Award

Professor, Central South University, China

👨‍🏫 Hui Peng is a distinguished Professor in the School of Automation at Central South University, Changsha, China. With a prolific career spanning over two decades, he has authored more than 70 papers in international journals and co-invented a patent in Japan. His expertise lies in various aspects of control engineering and statistical science, making significant contributions to industrial process control projects globally.

Profile

ORCID

 

Education

🎓 Hui Peng earned his B.Eng. and M.Eng. degrees in Control Engineering from Central South University, Changsha, China, in 1983 and 1986, respectively. He obtained his Ph.D. in Statistical Science from the Graduate University for Advanced Studies, Hayama, Japan, in 2003.

Experience

💼 Hui Peng has been a Professor at the School of Automation, Central South University, since 1998. He served as a Visiting Professor at the Institute of Statistical Mathematics, Tokyo, Japan, from 2000 to 2004 and again from 2009 to 2010. Since 2010, he has also been a Foreign Cooperative Professor at the Graduate University for Advanced Studies, Japan. His work includes successfully completing over ten industrial process control projects involving diverse systems like marine ships, thermal power plants, and quadrotor helicopters.

Research Interests

🔬 Hui Peng’s research interests are extensive and include nonlinear system modeling, statistical modeling, system identification, nonlinear optimization, signal processing, predictive control, robust control, process control, financial process modeling, and portfolio optimization.

Awards

🏆 Hui Peng has not only authored numerous papers but also co-invented a patent in Japan, reflecting his significant contributions to control engineering and statistical science.

Publications

Market price, excess demand and liquidity dynamics modeling and application to investment decision optimization

Research on Time Varying Variance Financial Time Series Modeling and Portfolio Optimization Methods

State-dependent ARX model-based nonlinear system modeling and robust predictive control