Nikolaos Kelepouris | Energy Management | Best Researcher Award

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Mr. Nikolaos Kelepouris | Energy Management | Best Researcher Award

University of Western Macedonia | Greece

Mr. Nikolaos Kelepouris is a highly promising researcher in the field of electrical and computer engineering, currently pursuing his PhD at the University of Western Macedonia with a thesis focused on optimizing distribution networks by incorporating nanogrids. He holds an Integrated Master Diploma in Electrical and Computer Engineering from the University of Thessaly, where he completed a thesis on hydroelectric plant design. His expertise spans energy management systems, demand side management, smart grids, energy communities, storage technologies, electric vehicles, and optimization models. A recipient of the 2023 Research Excellence Award from the Faculty of Engineering, he has distinguished himself as both a skilled researcher and educator, serving as a teaching assistant in electric power systems and photovoltaic applications. Mr. Kelepouris has actively participated in eight funded research projects, including EU Horizon and LIFE initiatives, covering critical areas such as solar energy, smart cities, congestion management, and innovative low-carbon energy technologies. His publication record is robust, with 15 contributions, including five peer-reviewed journal papers in high-impact outlets such as IEEE Transactions on Industry Applications and Electric Power Systems Research, and ten international conference presentations. Combining strong technical skills in programming, optimization, and power system analysis with international project engagement, Mr. Kelepouris is building a significant research profile that advances sustainable energy transitions and the future of smart grids.

Profile: Google Scholar

Featured Publications

Kelepouris, N. S., Nousdilis, A. I., Bouhouras, A. S., & Christoforidis, G. C. (2022). Cost-effective hybrid PV-battery systems in buildings under demand side management application. IEEE Transactions on Industry Applications, 58(5), 6519–6528.

Kelepouris, N. S., Nousdilis, A. I., Bouhouras, A. S., & Christoforidis, G. C. (2023). Optimal scheduling of prosumer’s battery storage and flexible loads for distribution network support. IET Generation, Transmission & Distribution, 17(7), 1491–1508.

Bouhouras, A. S., Kelepouris, N. S., Koltsaklis, N., Oureilidis, K., & Christoforidis, G. C. (2024). Congestion management in coupled TSO and DSO networks. Electric Power Systems Research, 229, 110145.

Kelepouris, N. S., Nousdilis, A. I., Bouhouras, A. S., Christoforidis, G. C., & others. (2021). Impact of demand side management on the self-sufficiency and self-consumption of buildings with photovoltaic and storage systems. In Proceedings of the 9th International Conference on Modern Power Systems (MPS) (pp. 1–6).

Kelepouris, N. S., Nousdilis, A. I., Bouhouras, A. S., & Christoforidis, G. C. (2021). Enhancing self-sufficiency in buildings with hybrid PV-battery systems and demand side management: A sizing tool. In 2021 IEEE International Conference on Environment and Electrical Engineering (EEEIC/ICPSEurope).

Kelepouris, N. S., Kelepouris, D., Bouhouras, A. S., & Christoforidis, G. C. (2024). Prosumer energy management under controllable power transactions with the grid. IEEE Transactions on Industry Applications.

Jixiang Dai | Clean Energy | Excellence in Innovation

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Mr. Jixiang Dai | Clean Energy | Excellence in Innovation

Mr. Jixiang Dai, Wuhan University of Technology, China

Mr. Jixiang Dai is an accomplished researcher at the Wuhan University of Technology, specializing in hydrogen-sensitive materials and optical fiber sensing technology. With a Ph.D. in hydrogen-sensitive films and over a decade of research experience, he has developed advanced WO₃- and Pd-based nanocomposite films for fiber optic hydrogen, temperature, and humidity sensors. Mr. Dai possesses extensive expertise in magnetron sputtering, e-beam deposition, FBG writing, ellipsometry, and advanced material characterization methods. He has led multiple nationally funded projects, including those under China’s National Key R&D Program, focusing on intrinsically safe hydrogen sensing systems. His outstanding work has earned him prestigious honors, such as the Second Prize of the China Instrument and Control Society for Technical Invention and the Hubei Province Natural Science Award. Mr. Dai has authored over 15 high-impact journal papers in Nanomaterials, Optics Letters, and Sensors and Actuators B, significantly advancing fiber optic sensor technology for safety and energy applications.

Publication Profile

Scopus

Expertise

Mr. Jixiang Dai is a highly skilled researcher with deep expertise in the synthesis of hydrogen-sensitive materials, particularly WO₃-based and Pd-based nanocomposite films. His work focuses on developing advanced fiber optic sensors capable of detecting hydrogen, temperature, and humidity with high sensitivity and precision. He has significant experience in designing complete sensing systems tailored for safety-critical environments. Mr. Dai is proficient in operating sophisticated deposition systems such as magnetron sputtering and e-beam assisted techniques, and is adept at fabricating fiber Bragg gratings (FBGs) using the phase mask method. He is also skilled in measuring optical constants using ellipsometry and simulating optical properties with RSoft and TFC software. Additionally, he is well-versed in a wide range of material characterization tools, including XRD, SEM, EDAX, TEM, XPS, and AFM. His multidisciplinary skill set enables him to bridge material science and optical engineering for innovative sensor development.

Work and Education Background

Mr. Jixiang Dai has a strong academic and professional background in optical fiber sensing and materials science. Since July 2013, he has been serving as an associate researcher at the National Engineering Laboratory for Fiber Optic Sensing Technology, where he initially worked as an assistant researcher until December 2017. His research focuses on advanced optical fiber sensing technologies. He earned his Ph.D. from 2010 to 2013, concentrating on hydrogen-sensitive films under the mentorship of Professor Minghong Yang, a recipient of the National Distinguished Young Scholars of China. Prior to that, from 2008 to 2011, he completed his master’s degree focusing on fiber Bragg grating hydrogen sensors based on WO₃-Pd composite films, guided by Professor Dengsheng Jiang, an academician of the Chinese Academy of Engineering. Mr. Dai began his academic journey with a bachelor’s degree from 2004 to 2008, studying dielectric thin films under Professor Jing Zhou, laying the foundation for his research career.

Awards and Recognitions

Mr. Jixiang Dai has received notable awards in recognition of his significant contributions to the field of optical fiber sensing and materials science. He was honored with the Second Prize for Technical Invention by the China Instrument and Control Society, where he ranked second for his pioneering work in the development of advanced hydrogen sensing systems using nano-composite films. This award highlights his role in creating impactful technological innovations that enhance safety and performance in sensor applications. Additionally, Mr. Dai received the Second Prize in Natural Science from Hubei Province, also ranking second, in acknowledgment of his high-level scientific research in materials engineering and sensor development. These prestigious awards not only reflect the originality and value of his research but also demonstrate the national and regional recognition of his innovative achievements in advancing sensor technologies and their real-world applications in energy, safety, and environmental monitoring systems

Research Focus

Mr. Jixiang Dai’s Research Focus centers on optical fiber hydrogen sensing technologies with an emphasis on advanced nanomaterials like WO₃-based, Pd/Ta alloys, and graphene quantum dots. His work targets the design, enhancement, and integration of fiber Bragg grating (FBG)-based sensors, leveraging π-phase-shifted structures, optical heating, and ZIF-8 frameworks for heightened sensitivity. His innovations address hydrogen leakage detection, quasi-distributed sensor networks, and environmental sensing applications. The research spans sensor fabrication, performance optimization, and material characterization. 🚀 His impactful contributions are well-cited in journals like Optics Letters, IEEE, and International Journal of Hydrogen Energy.

Publication Top Notes

📄 Improved performance of a fiber-optic hydrogen sensor based on a controllable optical heating technology – Optics Letters, 2024 | 🔁 Cited by: 4 📅
📄 Pd–Ta alloy films hydrogen sensors based on partially coated π-phase-shifted FBG – Optical Materials, 2024 | 🔁 Cited by: 2 📅
📄 Quasi-distributed optical fiber hydrogen leakage detecting system based on bus chain topology structure – Optics Express, 2024 | 🔁 Cited by: 1 📅
📄 Improved performance of fiber-optic hydrogen sensor of porous Pt/WO₃ based on ZIF-8 – Int. J. of Hydrogen Energy, 2024 | 🔁 Cited by: 16 📅
📄 Performance of fiber hydrogen sensor with Pd/Ta composite films – Conference Paper, Year Not Specified | 🔁 Cited by: 0 📅
📄 Performance of fiber-optic hydrogen sensor based on locally coated π-shifted FBG – IEEE Sensors Journal, 2022 | 🔁 Cited by: 11 📅
📄 Ultra-high sensitive fiber optic hydrogen sensor in air – Journal of Lightwave Technology, 2022 | 🔁 Cited by: 12 📅
📄 TBAOH intercalated WO₃ for high-performance optical fiber hydrogen sensor – Int. J. of Hydrogen Energy, 2022 | 🔁 Cited by: 11 📅
📄 Advanced fiber-optic humidity sensor using graphene quantum dots doped polyimide – IEEE Photonics Tech. Lett., 2022 | 🔁 Cited by: 18 📅
📄 Novel optical fiber sensing with tantalum-based hydrogen sensing film – Acta Photonica Sinica, 2022

 

Peng Shi | Power system | Best Researcher Award

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Dr. Peng Shi | Power system | Best Researcher Award

Dr. Peng Shi, State Grid Sichuan Electric Power Research Institute, China

📜 Peng Shi received his PhD in Electrical Engineering from Zhejiang University in 2019. He is currently a researcher at the State Grid Sichuan Power Science Research Institute, affiliated with the State Grid Corporation of China. His expertise lies in power system stability and control, contributing significantly to energy infrastructure advancements. Through his role in conceptualization, he has provided intellectual leadership in various projects, promoting innovative approaches to address challenges in modern power systems.

Publication Profile

scopus

Education

🎓 Peng Shi completed his PhD in Electrical Engineering at Zhejiang University, Hangzhou, China, in 2019. His academic journey equipped him with in-depth knowledge of power systems and their complexities. The rigorous curriculum, combined with hands-on research experience, allowed him to explore various aspects of power system stability and control. His studies laid a solid foundation in advanced electrical engineering concepts, preparing him for impactful research and contributions to the energy sector.

Experience

🛠️ Peng Shi has been serving as a researcher at the State Grid Sichuan Power Science Research Institute since earning his doctorate in 2019. His role involves leading and contributing to projects focused on power system stability and control mechanisms. As a key contributor in the conceptualization phase, he has provided innovative insights that drive forward-thinking solutions. His collaboration with energy experts and engineers has supported the development of more resilient and efficient power grids across China.

Research Focus

🔎 Peng Shi’s research focuses on power system stability and control, a vital area ensuring the reliability of modern energy grids. His work aims to develop innovative control strategies that enhance the resilience and efficiency of electrical systems. By addressing challenges in grid management and renewable energy integration, his contributions promote sustainable and stable energy infrastructure. His role in conceptualizing advanced models and simulation frameworks has paved the way for smarter and more adaptive power systems.

Publication Top Notes

A deep reinforcement learning based charging and discharging scheduling strategy for electric vehicles

Conclusion

Dr. Peng Shi is a strong candidate for the Best Researcher Award, given his academic credentials, institutional affiliation, and research contributions. If his work includes high-impact publications, significant citations, and practical applications in power system stability, he would be highly suitable for this recognition.