Fangfang Li | Water-Energy Nexus | Women Researcher Award

Prof. Fangfang Li | Water-Energy Nexus | Women Researcher Award

Professor at China Agricultural University, China

Professor Fangfang Li is a distinguished researcher in water resources management and hydro-PV-wind energy systems, currently serving as a professor at China Agricultural University. With a Ph.D. from Tsinghua University and visiting research experience at Cornell and Cambridge, she has led numerous high-impact projects funded by the National Natural Science Foundation of China. Her research focuses on optimizing renewable energy integration, ecological water scheduling, and uncertainty reduction in hydropower operations. She has published 68 SCI papers, holds 6 invention patents and 4 software copyrights, and has received prestigious honors such as the Young Changjiang Scholar Award. Her work extends beyond academia through consultancy projects that contribute to real-world hydrological and energy solutions. With an h-index of 17 and over 1,192 citations, Professor Li’s contributions significantly advance sustainable water and energy management.

Professional Profile 

Education

Professor Fangfang Li holds a bachelor’s and a Ph.D. from Tsinghua University, one of China’s most prestigious institutions. She further expanded her academic experience through visiting research at Cornell University and the University of Cambridge, where she deepened her expertise in water resources management and renewable energy systems. Her strong educational foundation has played a crucial role in shaping her research focus on hydrology, multi-energy systems, and ecological water scheduling, positioning her as a leading expert in the field.

Professional Experience

Professor Fangfang Li is a distinguished researcher and professor at China Agricultural University, specializing in water resources management and hydro-PV-wind energy systems. She has led numerous high-impact research projects, including those funded by the National Natural Science Foundation of China and other prestigious institutions. Her career includes postdoctoral research at China Three Gorges Corporation, where she contributed to optimizing hydropower operations. As a principal investigator, she has spearheaded projects on multi-energy complementary systems, ecological water scheduling, and climate-resilient hydropower management. In addition to her academic contributions, she has worked on industry consultancy projects, developing innovative solutions for flood scheduling, ecological conservation, and sustainable energy integration. With her extensive experience in research, innovation, and real-world applications, Professor Li continues to make significant advancements in the field of hydrology and renewable energy.

Research Interest

Professor Fangfang Li’s research interests lie at the intersection of water resources management, renewable energy integration, and ecological hydrology. She focuses on optimizing multi-energy complementary systems, particularly hydro-PV-wind energy, to enhance sustainability and efficiency in power generation. Her work also addresses uncertainty reduction in hydropower operations, aiming to improve forecasting and decision-making in water and energy systems. Additionally, she is deeply engaged in ecological water scheduling, developing models that balance energy production with environmental conservation. Her research extends to atmospheric water resources, cloud water utilization, and climate change impacts on hydrological processes, contributing to the advancement of sustainable water and energy management.

Award and Honor

Professor Fangfang Li has received numerous prestigious awards and honors in recognition of her outstanding contributions to water resources management and renewable energy research. She was honored with the Young Changjiang Scholar Award, a highly regarded distinction in China that recognizes exceptional academic achievements. Her innovative research in hydro-PV-wind energy systems and ecological water management has earned her leadership roles in multiple national research projects funded by the National Natural Science Foundation of China. In addition to her scholarly achievements, her work has been acknowledged by leading hydrology and energy institutions, further solidifying her reputation as a pioneering researcher in sustainable water and energy systems.

Conclusion

Professor Fangfang Li is an exceptional candidate for the Women Researcher Award. Her contributions to hydrology, renewable energy, and ecological water management are both academically rigorous and practically impactful. Her leadership in high-profile projects and technological innovations further solidify her eligibility. Enhancing global collaborations and advocating for women in STEM would further strengthen her case. Overall, she is highly suitable for this award.

Publications Top Noted

  • Atmospheric Water Resources and Their Exploitability in the Middle East

    • Authors: F. Li, Fangfang; H. Lu, Houliang; H. Wang, Hongru; P. Sun, Peng; J. Qiu, Jun

    • Year: 2025

    • Citations: 0

  • Multi-objective optimization of non-fossil energy structure in China towards the carbon peaking and carbon neutrality goals

    • Authors: M. Li, Mengjia; F. Li, Fangfang; J. Qiu, Jun; N. Zhang, Nan; Z. Song, Zhengyu

    • Year: 2024

    • Citations: 0

  • Long-Term Capturability of Atmospheric Water on a Global Scale (Open Access)

    • Authors: F. Li, Fangfang; H. Lu, Houliang; G. Wang, Guangqian; J. Qiu, Jun

    • Year: 2024

    • Citations: 0

  • Potential impact of precipitation temporal structure on meteorological drought and vegetation condition: A case study on Qinghai-Tibet Plateau (Open Access)

    • Authors: H. Lu, Houliang; J. Qiu, Jun; B.X. Hu, Bill Xiao; F. Li, Fangfang

    • Year: 2024

    • Citations: 1

  • Optimizing reservoir operation incorporating ecological demand and stability requirement

    • Authors: J. Qiu, Jun; C. Ma, Cang; H. Wang, Hongru; H. Li, Houjun; F. Li, Fangfang

    • Year: 2024

    • Citations: 0

  • An improved cross-correlation method for efficient clouds forecasting

    • Authors: H. Zuo, Huimin; J. Qiu, Jun; F. Li, Fangfang

    • Year: 2024

    • Citations: 0

  • A developed Criminisi algorithm based on particle swarm optimization (PSO-CA) for image inpainting

    • Authors: F. Li, Fangfang; H. Zuo, Huimin; Y. Jia, Yinghui; J. Qiu, Jun

    • Year: 2024

    • Citations: 4

 

 

Kaiyan Wang | Hydropower Systems | Best Researcher Award

Assist. Prof. Dr. Kaiyan Wang | Hydropower Systems | Best Researcher Award

Associate professor at School of Electrical Engineering, Xi’an University of Technology, China

Kaiyan Wang is an Associate Professor and Party Branch Secretary at the School of Electrical Engineering, Xi’an University of Technology. With a strong academic background, he earned his bachelor’s and master’s degrees in Electrical Engineering from Qingdao University and a Doctorate from Xi’an Jiaotong University. His research focuses on power system operation, dynamic economic dispatch, photovoltaic power forecasting, intelligent optimization algorithms, and integrated energy systems. He has published over 20 refereed journal papers in high-impact journals and has applied for 12 Chinese invention patents, demonstrating innovation in energy optimization and sustainability. His research has received significant funding from institutions such as the Natural Science Fund of Shaanxi Province and the State Grid Corporation. Beyond research, he actively contributes to academia by teaching courses on electromechanics, electric network theory, and engineering ethics. His leadership, research excellence, and technological advancements make him a strong candidate for the Best Researcher Award.

Professional Profile 

Education

Kaiyan Wang holds a strong academic background in Electrical Engineering. He earned his bachelor’s and master’s degrees from Qingdao University, where he developed a solid foundation in power systems and electrical engineering principles. He later pursued a Doctoral degree at Xi’an Jiaotong University, specializing in advanced energy systems, optimization algorithms, and renewable energy integration. His academic journey has equipped him with expertise in power system operation, dynamic economic dispatch, and intelligent optimization techniques, which form the core of his research and teaching activities at Xi’an University of Technology.

Professional Experience

Kaiyan Wang has a distinguished professional career in electrical engineering and academia. Since joining Xi’an University of Technology in December 2015, he has served as an Associate Professor and Party Branch Secretary in the School of Electrical Engineering. His expertise spans power system operation, dynamic economic dispatch, photovoltaic power forecasting, and intelligent optimization algorithms. In addition to his research contributions, he teaches courses on electromechanics, electric network theory, and electrical engineering ethics, playing a vital role in shaping future engineers. He has led multiple funded research projects supported by prestigious institutions, including the Natural Science Fund of Shaanxi Province and the State Grid Corporation. With over 20 refereed journal publications and 12 national invention patents, his work significantly contributes to the advancement of energy optimization and integrated energy systems. His leadership, academic contributions, and research innovations establish him as a key figure in the field of electrical engineering.

Research Interest

Kaiyan Wang’s research interests lie in the fields of power system operation, dynamic economic dispatch, photovoltaic power generation forecasting, intelligent optimization algorithms, and integrated energy systems. His work focuses on developing advanced methodologies for optimizing energy distribution, improving the efficiency of renewable energy integration, and enhancing the stability of modern power grids. He is particularly interested in applying artificial intelligence and deep learning techniques to forecast energy demand and optimize multi-energy system scheduling. His research aims to contribute to sustainable energy solutions by improving the reliability and cost-effectiveness of power systems. Through his studies, he seeks to address critical challenges in energy management, grid stability, and intelligent decision-making for future energy systems.

Award and Honor

Kaiyan Wang has received several awards and honors in recognition of his outstanding contributions to electrical engineering research and innovation. His work in power system optimization, renewable energy forecasting, and intelligent energy management has earned him prestigious research grants and funding from institutions such as the Natural Science Fund of Shaanxi Province and the State Grid Corporation. With over 20 refereed journal publications and 12 national invention patents, his research has been widely acknowledged for its impact on energy efficiency and sustainability. His leadership role as Party Branch Secretary at Xi’an University of Technology further reflects his commitment to academic excellence and professional service. Through his innovative research and academic contributions, he continues to receive recognition for advancing the field of electrical engineering.

Conclusion

Kaiyan Wang is a strong candidate for the Best Researcher Award, given his extensive research contributions, innovation in power systems, and significant funding achievements. However, increasing international collaborations, citation impact, and industry applications could further strengthen his candidacy for the award.

Publications Top Noted

  • Title: The Optimal Scheduling of Integrated Energy System Considering the Incentive and Punishment Mechanism of Electric and Thermal Carbon Emission Factors

    • Authors: K. Wang, Kaiyan; H. He, Hengxiang; N. Yang, Ningning; X. Wang, Xiaowei; R. Jia, Rong

    • Year: 2025

    • Citations: 0

  • Title: Short-term Optimal Scheduling of Wind-Photovoltaic-Hydropower-Thermal-Pumped Hydro Storage Coupled System Based on a Novel Multi-Objective Priority Stratification Method

    • Authors: K. Wang, Kaiyan; H. Zhu, Hengtao; J. Dang, Jian; B. Ming, Bo; X. Wu, Xiong

    • Year: 2024

    • Citations: 2

  • Title: Multi-Objective Hierarchical Optimal Scheduling of Combined Power Systems Considering Base Loads

    • Authors: N. Zhao, Ningbo; K. Wang, Kaiyan; P. Li, Peihang; H. Jia, Hongtao; Z. Wang, Zhengmian

    • Year: 2024

    • Citations: 0