Adisu Makeyaw | Power System | Best Researcher Award

Mr. Adisu Makeyaw | Power System | Best Researcher Award

Mr. Adisu Makeyaw , Beijing Jiaotong University , China.

Adisu Makeyaw is a promising young researcher and graduate student at Beijing Jiaotong University, focusing on advanced power systems and railway electrification. With a solid background in electrical engineering and a passion for solving real-world infrastructure problems, Adisu has emerged as a dedicated contributor in the field of smart energy systems. His research has emphasized energy storage, regenerative braking, and stray current mitigation in electrified railways. Through his collaborations with industry partners like the State Grid Shanghai Electric Power Research Institute, he bridges the gap between academic theory and practical solutions for urban power system stability and efficiency.

Publication Profile

ORCID

🎓 Education Background

Adisu Makeyaw pursued his undergraduate and graduate education in electrical and power engineering with a specialization in railway electrification systems. Currently enrolled as a graduate student at Beijing Jiaotong University, he has developed technical expertise in modeling and simulation, especially regarding energy storage systems and control strategies. His thesis, titled “Research on Energy Storage System Scheme of Electrified Railway Traction Substation,” demonstrates his capability in addressing complex engineering challenges. Throughout his academic journey, Adisu has combined analytical rigor with a focus on practical implementation, laying a strong foundation for innovative solutions in the field of sustainable energy.

🧑‍💼 Professional Experience

Though still a student, Adisu Makeyaw has gained early professional recognition through impactful research collaborations. He has worked closely with the State Grid Shanghai Electric Power Research Institute, contributing to transformer DC bias mitigation solutions in metro systems. His work integrates simulation, field data, and theoretical analysis to design real-time monitoring and suppression methods. These experiences not only enhanced his engineering acumen but also strengthened his ability to manage industry-academia collaboration. Adisu continues to expand his professional portfolio by engaging in research that influences policy and technical standards in power distribution networks and urban rail infrastructure.

🏆 Awards and Honors

While formal awards are currently pending, Adisu Makeyaw’s academic contributions are already being acknowledged in reputable scientific platforms. His recent publication in the Energies journal showcases his innovative thinking and has gained scholarly attention. As a member (pending) of the IEEE, he is positioning himself among global professionals in electrical engineering. His impactful work in DC bias mitigation and energy storage system design reflects a commitment to research excellence that is well-aligned with recognition such as the Best Researcher Award. With growing citations and collaboration with leading institutes, Adisu is on a clear trajectory for prestigious accolades in the near future.

🔬 Research Focus

Adisu’s research centers around regenerative braking, energy storage systems, stray current mitigation, and transformer DC bias phenomena within urban rail transit systems. He is especially interested in how electrified railway systems affect utility grid performance and transformer health. His projects explore innovative ways to reduce electromagnetic disturbances, enhance transformer longevity, and stabilize grid voltage under metro-induced interference. A key aspect of his work includes proposing DC-blocking devices, integrated simulation models, and optimization strategies that are grounded in both theory and practice. His current work contributes toward resilient, sustainable, and intelligent urban electrification systems.

🧾 Conclusion

Adisu Makeyaw is a rising researcher whose work bridges the technical gaps in urban electrification and smart energy systems. With a keen eye for real-world applicability and a deep understanding of power electronics, Adisu is making meaningful contributions to infrastructure innovation. His academic rigor, combined with practical collaboration, makes him a strong contender for recognition such as the Best Researcher Award. As he continues to publish, collaborate, and innovate, Adisu stands as a promising figure in the transformation of sustainable railway systems and future-proof power networks.

📄 Top Publication Note

Title: Utility Transformer DC Bias Caused by Metro Stray Current—A Review
Authors: Makeyaw, A.; Yang, X.; Sun, X.; Liu, K.; Wu, T.; Chen, L.
Journal: Energies
Published Year: 2025
Cited by Articles: 3 (as of July 2025 in Google Scholar and Scilit)
Indexed In: SCI, Scopus

Dr. Caixin Yan | Power System Optimization | Best Researcher Award

Dr. Caixin Yan | Power System Optimization | Best Researcher Award

PhD Student, Central South University, China

Dr. Caixin Yan is a distinguished researcher at the National Engineering Research Centre of Advanced Energy Storage Materials in Changsha, China. With a deep passion for energy systems and artificial intelligence applications in power grids, Dr. Yan has contributed significantly to the field of energy optimization and power market strategies. His expertise in reinforcement learning and grid stability has made him a prominent figure in the domain of advanced energy storage and smart grid technologies.

Publication Profile

ORCID

🎓 Education:

Dr. Yan pursued his higher education in automation and electrical engineering, focusing on intelligent power grid management and optimization. His academic journey has equipped him with extensive knowledge in multi-energy systems, deep reinforcement learning, and industrial load flexibility.

💼 Experience:

Currently associated with the National Engineering Research Centre of Advanced Energy Storage Materials, Dr. Yan has also collaborated with institutions like the School of Automation at Central South University and the Hunan Xiangjiang Artificial Intelligence Academy. His research focuses on optimizing power systems through artificial intelligence and developing cutting-edge solutions for market-based power regulation.

🏆 Awards and Honors:

While specific awards and honors are not listed, Dr. Yan’s impactful contributions to energy storage, power market strategies, and reinforcement learning applications have been recognized through his publications and collaborations. His research is gaining traction, as evidenced by his growing citation count.

🔍 Research Focus:

Dr. Yan’s research revolves around power grid optimization, energy storage integration, and AI-driven solutions for smart grids. His work on hierarchical reinforcement learning for power grid topology regulation and multi-energy systems operation strategies has been instrumental in advancing the field of intelligent energy management.

🔚 Conclusion:

Dr. Caixin Yan is a rising expert in energy storage and AI-driven power grid optimization. His contributions to power market strategies, reinforcement learning applications, and energy system integration are paving the way for a smarter and more efficient electricity landscape. With growing recognition and impactful research, he continues to make significant strides in the field of intelligent energy solutions. 🚀

📚 Publications :

Review of Power Market Optimization Strategies Based on Industrial Load Flexibility – Analyzing the role of industrial flexibility in power markets.

Power Grid Topology Regulation Method Based on Hierarchical Reinforcement Learning – Exploring AI-driven strategies for grid topology adjustments.

Deep Reinforcement Learning for Strategic Bidding in Incomplete Information Market – Applying AI to strategic bidding in uncertain energy markets.

Optimal Operation Strategies of Multi-Energy Systems Integrated with Liquid Air Energy Storage Using Information Gap Decision Theory – Investigating operational strategies for multi-energy systems.

Load Frequency Control of Photovoltaic Generation-Integrated Multi-Area Interconnected Power Systems Based on Double Equivalent-Input-Disturbance Controllers – Developing control mechanisms for PV-integrated power systems.