Yulong Huang | Electric Vehicles | Best Researcher Award

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Dr. Yulong Huang | Electric Vehicles | Best Researcher Award

Jinan University | China

Author Profiles

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Orcid ID

Early Academic Pursuits

Dr. Yulong Huang began his academic journey in Electrical Engineering at the South China University of Technology, Guangzhou, China, where he pursued his doctoral studies. His commitment to research excellence was evident early on, as he expanded his academic horizons by serving as a Visiting Scholar at the University of Waterloo in the 2010–2011 academic year. This international exposure enriched his research perspective and laid a strong foundation for his future contributions in the field of energy systems.

Professional Endeavors

Since 2012, Dr. Huang has been associated with the International Energy College at Jinan University, Zhuhai, China, where he serves as a Lecturer. Over the years, he has consistently contributed to the advancement of electrical engineering, particularly focusing on power systems. His role extends beyond teaching, as he actively engages in high-impact research projects funded by prestigious national and regional organizations.

Contributions and Research Focus

Dr. Huang’s primary research interests lie in power system optimization, operation, and control, with a strong emphasis on integrating electric vehicles (EVs) into modern energy networks. He has co-developed advanced methods to optimize EV charging and discharging processes, particularly through the Hierarchical-Multi-Stage Optimization (HMSO) method, which effectively addresses computational challenges in large-scale systems. His work ensures not only technical efficiency but also significant cost reductions and enhanced voltage regulation in smart grids.

Research Projects and Innovations

He has successfully participated in notable projects, including the National Major Science and Technology Project of China (Grant No. 2025ZD0804900) and the Science and Technology Project of China Southern Power Grid (Grant No. GDKJXM20230248). His collaborations with leading institutes such as the Southern Power Grid Science Research Institute, Xi’an Jiaotong University, and South China University of Technology highlight his dedication to multi-institutional research.

Impact and Influence

Dr. Huang’s research has gained recognition in the scientific community, as reflected in the citations of his impactful publications. His article on EV navigation and charging reservation has been cited 12 times, while his study on optimal control of PEV battery storage for voltage regulation has been cited 28 times in the Web of Science. Beyond publications, his three authorized invention patents further demonstrate his innovative contributions to applied research.

Academic Citations and Recognition

His work is increasingly acknowledged by peers, establishing him as a significant contributor in the domain of power systems and EV integration. The balance of theoretical insights with practical applications in his research continues to influence both academic discourse and industry practices.

Legacy and Future Contributions

Looking ahead, Dr. Huang is expected to continue shaping the future of sustainable power systems. With the growing demand for efficient EV integration and renewable energy solutions, his research is poised to make further breakthroughs in real-time optimization, energy storage control, and large-scale system applications. His commitment to collaboration, innovation, and academic excellence ensures that his legacy will inspire both current and future generations of researchers.

Conclusion

In conclusion, Dr. Yulong Huang exemplifies the qualities of a dedicated researcher, educator, and innovator. Through his academic rigor, impactful projects, and innovative problem-solving methods, he has significantly contributed to the advancement of power system optimization and EV integration. His work stands as a testament to the critical role researchers play in addressing modern energy challenges, making him a strong candidate for recognition as a Best Researcher Award recipient.

Notable Publications

"Charge-discharge hierarchical-multi-stage decoupling optimization for large-scale EVs interacting with volt/var control in distribution systems." 

  • Author: Yulong Huang, Wenyang Deng, Kexue Zhang, Mingbo Liu, Min Liu, Qifeng Li, and Yongjun Zhang
  • Journal: Applied Energy
  • Year: 2025

"Electric vehicle entire-trip navigation and charging reservation method based on a high-speed communication network" 

  • Author: Yulong Huang, Mingbo Liu, and Yongjun Zhang.
  • Journal: International Journal of Electrical Power and Energy Systems
  • Year: 2023

"Day-Ahead Optimal Control of PEV Battery Storage Devices Taking Into Account the Voltage Regulation of the Residential Power Grid." 

  • Author: Yulong Huang
  • Journal: IEEE Transactions on Power Systems
  • Year: 2019

 

 

Boaz Wadawa | Electrical Engineering | Best Researcher Award

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Dr. Boaz Wadawa | Electrical Engineering | Best Researcher Award

University Chouaib Doukkali | Cameroon

Author Profile

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Orcid ID

Dr. Boaz Wadawa: A Trailblazer in Electrical Engineering and Renewable Energy

Early Academic Pursuits

Dr. Boaz Wadawa’s academic journey is a testament to his unwavering commitment to excellence and intellectual growth. His formative years began at the Siantou Secondary Institute in Cameroon, where he earned his Baccalaureate in Electronics (F2 option). Recognizing his passion for engineering, he pursued a Technical University Degree in Thermal and Energy Engineering at the University Institute of Technology of Douala, where he investigated diesel generator efficiency-an early indication of his focus on energy optimization. Further advancing his education, Dr. Wadawa enrolled at the University of Ngaoundere, completing successive degrees in Electronics-Electrotechnics-Automatics-a Licence, Master 1, and Master 2-culminating in a thesis on enhancing the energy efficiency of photovoltaic installations, particularly in rural community contexts. His pursuit of academic excellence led him to Morocco, where he obtained a Ph.D. in Physics from the University of Chouaïb Doukkali, El Jadida, specializing in Electrical Engineering, Automation, and Renewable Energy. His doctoral research focused on the control of grid-connected variable speed wind turbines using the Double-Fed Induction Generator (DFIG), earning him the highest academic distinction-“Very Honourable with Jury Congratulations.”

Contributions and Research Focus

Dr. Wadawa’s core research lies at the intersection of Electrical Engineering, Automation, Renewable Energies, Thermal Engineering, and the optimized use of Artificial Intelligence (AI). His interdisciplinary approach enables innovative solutions in smart grid management, renewable energy systems, and sustainable technology deployment. A significant portion of his work has addressed efficiency in power systems, including photovoltaics, wind turbine control systems, and diesel generators. Moreover, his involvement in AI-driven automation signals his forward-looking approach to solving modern energy challenges.

Impact and Influence

Dr. Wadawa has had a substantial impact both as a researcher and peer reviewer, recognized by numerous institutions and scientific communities. He was awarded multiple certificates of appreciation for maintaining integrity and quality in peer-reviewed publications, including recognition from the International Journal of Applied Power Engineering (IJAPE) and Springer’s International Journal of Dynamics and Control (IJDC). He was honored with the “Best Researcher Award” by International Academic Awards, a testament to his influence in advancing engineering science.

Academic Citations and Scholarly Engagement

While specific citation metrics were not detailed, Dr. Wadawa's scholarly engagement is evident through his training certifications from Elsevier, WIPO, the Web of Science Group, and participation in global research forums such as IWACCE (China). These engagements reflect his deep involvement in scholarly publishing, intellectual property management, and ethical research communication. His research contributions, bolstered by international training and publication, position him as an emerging academic with growing citation impact in renewable energy and AI-integrated systems.

Legacy and Future Contributions

Dr. Wadawa’s legacy is being built on multidisciplinary integration, academic excellence, and technological innovation. His ability to combine rigorous research with practical engineering solutions places him among a new generation of African scientists contributing to sustainable development goals (SDGs). His future endeavors are expected to focus on scalable renewable energy models, AI-enhanced energy control systems, and collaborative innovation in automation technologies. He is poised to contribute meaningfully to policy, education, and infrastructure development in emerging economies.

Conclusion

Dr. Boaz Wadawa is a distinguished Cameroonian engineer and scholar whose work bridges advanced research and field application in the domains of electrical and renewable energy systems. His journey from local academic excellence to international recognition encapsulates the transformative power of education, perseverance, and interdisciplinary innovation. With a foundation deeply rooted in both technical expertise and ethical scholarship, Dr. Wadawa is not only shaping the future of sustainable energy but also inspiring a new wave of scientific thought leaders in Africa and beyond.

Notable Publications

"New strategy for fault detection and classification in wind turbines based on doubly-fed induction generators" 

  • Author: Boaz Wadawa; Joseph Yves Effa
  • Journal: Global Energy Interconnection
  • Year: 2025

"New formulas generalized to the evaluations of solar irradiations captured on horizontal surfaces and optimal inclinations" 

  • Author: Boaz Wadawa; Joseph Yves Effa
  • Journal: International Journal of Applied Power Engineering (IJAPE)
  • Year: 2024

"Contribution to the Optimization of the Energy Efficiency of Fixed Collector Panel and Solar Tracking Systems Aimed at Technical-Economic Forecasting" 

  • Author: Boaz Wadawa; Joseph Yves Effa; Youssef Errami; Abdellatif Obbadi
  • Journal: Engineering Science & Technology
  • Year: 2024

"Comparative application of the self-adaptive fuzzy-PI controller for a wind energy conversion system connected to the power grid and based on DFIG" 

  • Author: Boaz Wadawa; Youssef Errami; Abdellatif Obbadi; Smail Sahnoun; Elmostafa Chetouani; Mohssin Aoutoul
  • Journal: International Journal of Dynamics and Control
  • Year: 2022

"Robustification of the H∞ controller combined with fuzzy logic and PI&PID-Fd for hybrid control of Wind Energy Conversion System Connected to the Power Grid Based on DFIG" 

  • Author: Boaz Wadawa; Youssef Errami; Abdellatif Obbadi; Smail Sahnoun
  • Journal: Energy Reports
  • Year: 2021

 

Hafsa Abbade | Energy | Best Scholar Award

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Ms. Hafsa Abbade | Energy | Best Scholar Award

Hafsa Abbade at ISA Laboratory, National School of Applied Sciences (ENSA), Ibn tofail university, Morocco

Hafsa Abbade is a Doctoral Researcher and State Engineer in Electrical Engineering with a specialization in Renewable Energy. Passionate about sustainable technologies and smart systems, she combines rigorous academic training with hands-on project experience in automation, intelligent energy systems, and robotics. With a strong command of programming, simulation tools, and embedded systems, she actively contributes to research in hydrogen-based electric vehicles and energy management systems.

Professional Profile:

Orcid Profile

Education Background

  • Doctorate in Electrical Engineering (Ongoing since Nov. 2024)
    Laboratoire des systèmes avancés (ISA), ENSA Kenitra
    Research Topic: Intelligent energy control and management system for hydrogen electric vehicles

  • State Engineer’s Degree in Electrical Engineering – Renewable Energies (2021–2024)
    ENSA Kenitra
    Graduation Project: Automation and supervision of a pumping station with ISPSoft/DOPSoft

  • Integrated Preparatory Classes for Engineering (2019–2021)
    ENSA Kenitra

  • Baccalaureate in Physical Sciences – French Option (2018–2019)
    Lycée MOHAMED V, Kenitra

Professional Development

  • Doctoral Research & Teaching Assistant in Electrical Engineering (Nov. 2024 – Present)
    ENSA Kenitra – ISA Lab
    Research on intelligent control systems for hydrogen vehicles.

  • Final Year Internship (Feb. – June 2024)
    POWER INTEGRATION, Casablanca
    Automated and supervised a large-scale pumping station.

  • Engineering Intern (July – Sept. 2023)
    CEGELEC VINCI Energies, Casablanca
    Designed electrical systems for CLUB MED Marrakech: power studies, cable routing, and transformer selection.

  • Technical Intern (July – Aug. 2022)
    ONCF (Moroccan National Railway Office)
    Observational training on LGV substations and energy efficiency.

Research Focus

  • Intelligent energy management systems

  • Hydrogen and fuel cell electric vehicles

  • Automation and control systems

  • Renewable energy systems (solar, wind)

  • IoT and smart robotics integration in energy

Author Metrics:

Hafsa Abbade is an emerging researcher in the field of electrical engineering with a particular focus on intelligent systems for energy management. Her academic contributions are beginning to gain visibility in indexed repositories such as Web of Science and other scholarly databases. She has authored and co-authored early-stage research outputs including technical dissertations and preprints centered on renewable energy integration and hydrogen fuel cell systems. As her doctoral research progresses, she aims to publish in high-impact journals and international conferences to strengthen her research visibility and citation profile. Her research dissemination strategy includes participation in scientific workshops, co-authored publications, and collaborative research dissemination through institutional platforms.

Awards & Honors

3rd Place, National Competition – JobItDay "AI for Humanity" (2023)

Research Skills

Hafsa’s research skills span renewable energy systems, electric machine control, automation, and IoT-based smart solutions. She is proficient in MATLAB/Simulink, PVsyst, ISPSoft, Arduino, and R programming. Her work includes AI-integrated robotics, smart irrigation, and data-driven energy analysis. She is also experienced in scientific writing, statistical modeling, and bibliometric research using tools like the Web of Science.

Publication Top Notes

Deep Learning-Based Performance Modeling of Hydrogen Fuel Cells Using Artificial Neural Networks: A Comparative Study of Optimizers

  • Authors: Hafsa Abbade, Hassan El Fadil, Abdellah Lassioui, Abdessamad Intidam, Ahmed Hamed, Yassine El Asri, Abdelouahad Fhail, Anwar Hasni

  • Journal: Processes

  • Volume: 13

  • Issue: 5

  • Article Number: 1453

  • Publication Date: May 9, 2025

  • DOI: 10.3390/pr13051453

  • Publisher: Multidisciplinary Digital Publishing Institute (MDPI)

.Conclusion:

Ms. Hafsa Abbade is a promising and well-deserving candidate for the Best Scholar Award in Energy. Her technical versatility, impactful early research, and strong focus on hydrogen fuel cell technologies place her at the forefront of next-generation energy research. With her ongoing doctoral work, she is expected to make significant academic and practical contributions to the field of renewable energy and smart systems.