Dan li | Smart Energy System | Research Excellence Award

Published on by Natural Scientist Awards

Dr. Dan li | Smart Energy System | Research Excellence Award

Dr. Dan li | China Three Gorges University | China

Dr. Dan Li is an accomplished researcher in intelligent energy systems, with a strong focus on optimal scheduling, risk measurement, and intelligent decision-making for multi-energy systems operating under a high proportion of renewable energy. His work addresses the increasing complexity and uncertainty of modern power grids by developing advanced computational approaches that integrate artificial intelligence with domain-specific physical principles. Through three significant completed and ongoing research projects, he has contributed to flexible resource regulation and control technology for new-energy pumped storage power stations, the development and application of key technologies for grid-connected performance testing and analysis of renewable energy stations, and the functional debugging and data-processing framework for intelligent network-source coordinated control and risk early-warning decision-making platforms. His key scientific contribution lies in accurately defining the physical constraints, operational limits, and security boundaries of unit commitment and economic dispatch problems, and translating these elements into optimization objectives and state spaces suitable for advanced algorithms. Dr. Li introduced a physics-informed exploration strategy for deep reinforcement learning by embedding prior knowledge, including power-flow equations and unit ramp-rate constraints, directly into the reward design, reducing invalid exploration and improving algorithmic convergence by over 50 percent. This approach demonstrates a powerful integration of domain expertise and advanced computational tools, contributing significantly to enhancing the reliability, efficiency, and intelligence of next-generation power systems. His published research, including his recent article on optimization solutions for power generation planning, reflects strong scientific rigor and technological relevance, reinforcing his position as a promising contributor to the advancement of intelligent and sustainable energy systems.

Profile: ORCID

Featured Publications

Li, D., Zhang, L., Mi, N., & Zhong, H. (2025). Optimization solution for unit power generation plan based on the integration of constraint identification and deep reinforcement learning. Processes.

 

Ali İhsan Çelik | Civil Engineering | Best Researcher Award

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Assoc. Prof. Dr. Ali İhsan Çelik | Civil Engineering | Best Researcher Award

Assoc. Prof. Dr. Ali İhsan Çelik | Kayseri University | Turkey

Assoc. Prof. Dr. Ali İhsan Çelik is a distinguished researcher and academic currently serving at Kayseri University, with prior affiliations at Adiyaman University. His research primarily focuses on materials science, construction and building technology, and metallurgical engineering, with particular expertise in sustainable and eco-efficient construction materials. Dr. Çelik has made significant contributions to the development and characterization of innovative materials incorporating industrial waste, such as waste glass and recycled fibers, to enhance the mechanical performance and environmental sustainability of concrete and geopolymer composites. He has authored 44 scientific documents, including 32 publications indexed in the Web of Science Core Collection, reflecting his strong research productivity and global recognition. His scholarly output has garnered nearly 1,000 citations with an h-index of 14, demonstrating both the quality and influence of his work. Dr. Çelik’s notable studies, such as on the mechanical behavior of crushed waste glass and the performance of fiber-reinforced concrete produced from recycled materials, have been published in high-impact journals including Materials, Sustainability, and the Journal of Materials Research and Technology. He has also actively contributed to peer review, completing over 50 verified reviews for international journals. His research strongly aligns with global sustainability goals by promoting waste valorization and resource-efficient engineering practices. Through his dedication to advancing green construction materials and his consistent scholarly achievements, Dr. Ali İhsan Çelik has established himself as an influential figure in the field of materials and civil engineering research.

Profile:  Scopus  |  ORCID  |  Google Scholar  |  ResearchGate  |  Staff Page

Featured Publications

Çelik, A. İ., Özkılıç, Y. O., Zeybek, Ö., Karalar, M., Qaidi, S., & Ahmad, J. (2022). Mechanical behavior of crushed waste glass as replacement of aggregates. Materials, 15(22), 8093.

Zeybek, Ö., Özkılıç, Y. O., Karalar, M., Çelik, A. İ., Qaidi, S., & Ahmad, J. (2022). Influence of replacing cement with waste glass on mechanical properties of concrete. Materials, 15(21), 7513.

Çelik, A. İ., Tunç, U., Bahrami, A., Karalar, M., Mydin, M. A. O., Alomayri, T., & Ahmad, J. (2023). Use of waste glass powder toward more sustainable geopolymer concrete. Journal of Materials Research and Technology, 24, 8533–8546.

Çelik, A. İ., Özkılıç, Y. O., Zeybek, Ö., Özdöner, N., & Tayeh, B. A. (2022). Performance assessment of fiber-reinforced concrete produced with waste lathe fibers. Sustainability, 14(19), 11817.

Zeybek, Ö., Özkılıç, Y. O., Çelik, A. İ., Deifalla, A. F., Ahmad, M., & Sabri, M. M. (2022). Performance evaluation of fiber-reinforced concrete produced with steel fibers extracted from waste tire. Frontiers in Materials, 9, 1057128.