zhang jinliang | Energy | Best Researcher Award

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Prof. zhang jinliang | Energy | Best Researcher Award

Prof. zhang jinliang, north china electric power university, China

Jinliang Zhang, a distinguished expert in Energy Economics and Policy, has made significant contributions to the field of energy management and sustainable development. Born in Jiangshu, China, and a member of the Communist Party, he is highly respected for his interdisciplinary research in energy economics, energy policy, and econometric analysis. With an impressive academic background, Jinliang holds a Ph.D. in Technical Economics and Management from North China Electric Power University, and completed postdoctoral research at both Tufts University (Fletcher School) and Beijing Institute of Technology. Over the years, he has led numerous impactful projects, including those on carbon emission trading mechanisms and renewable energy optimization. As a prolific researcher and project leader, his works are shaping the future of energy systems and sustainability worldwide.

Professional Profile

Scopus

Summary of Suitability for the “Research for Best Researcher Award” for Jinliang Zhang

Jinliang Zhang demonstrates exceptional qualifications and accomplishments in the fields of energy economics, energy policy, and econometrics, making him a highly suitable candidate for the “Research for Best Researcher Award.” His strong educational background includes a Ph.D. in Technical Economics and Management, with extensive research in large systems, applied mathematics, and econometric analysis. His postdoctoral experiences at prestigious institutions, including Tufts University and Beijing Institute of Technology, have further honed his expertise in energy-related topics.

Zhang has published extensively in high-impact journals such as Energy, Applied Energy, and Sustainable Energy Technologies and Assessments. His publications primarily focus on low-carbon economic dispatching models, energy storage optimization for microgrids, and the integration of carbon capture systems in virtual power plants. These contributions are not only academically significant but also have a direct impact on sustainable energy solutions and policy formulation. His work on forecasting and energy pricing has been instrumental in advancing the understanding of electricity markets and renewable energy systems.

🎓  Education

Jinliang Zhang’s academic journey is a testament to his deep commitment to the field of energy economics and management. He obtained his B.S. in Mathematics from North China Electric Power University in 2005, where he also earned his M.A. and Ph.D. in Technical Economics and Management between 2006 and 2011. His doctoral research focused on large systems and econometric analysis, providing a strong foundation for his future endeavors in energy systems. He further honed his expertise by completing postdoctoral studies in Management Science and Engineering at Tufts University’s Fletcher School (2018-2019) and Beijing Institute of Technology (2012-2016). During these postdoctoral programs, he concentrated on energy economics, policy formulation, and econometric modeling, which led to several high-impact publications. His extensive education has been instrumental in shaping his research career and leadership in the energy field.

💼 Professional Experience

Jinliang Zhang’s professional experience spans academia, research, and industry, making him a key figure in energy economics and management. As a postdoctoral researcher, he worked at prestigious institutions like Tufts University and Beijing Institute of Technology, focusing on energy economics, policy, and econometric models. Over the years, Jinliang has been involved in numerous cutting-edge research projects and government-funded initiatives, including carbon emissions trading mechanisms and optimization of energy storage systems for microgrids. He has also worked on electricity price forecasting and the analysis of renewable energy systems. As the project leader for various national and international research projects, he has collaborated with organizations such as the National Natural Science Foundation of China, State Grid JiBei Electric Power Company, and China Electric Power Research Institute. His expertise has been sought after to analyze and develop energy-saving and emission-reduction policies for China’s power industry.

🏅  Awards and Recognition

Jinliang Zhang has garnered significant recognition for his contributions to energy research and policy. His innovative work in the optimization of energy systems and carbon emission trading mechanisms has earned him widespread acclaim in both academia and industry. Among his notable achievements, he has received funding and support from the National Natural Science Foundation of China, the China Postdoctoral Science Foundation, and various energy institutions. His groundbreaking research on low-carbon economic scheduling, energy storage, and electricity price forecasting has been published in top-tier journals such as Energy, Renewable Energy, and Applied Energy. Additionally, Jinliang has successfully led several high-profile projects in collaboration with governmental and corporate entities, such as the State Grid JiBei Electric Power Company and the China Electric Power Research Institute. His work has significantly influenced China’s energy policies and is widely regarded as pioneering in the field of energy economics.

🌍 Research Skills On Energy

Jinliang Zhang possesses exceptional research skills, particularly in energy economics, energy policy, and econometric analysis. His expertise lies in developing complex models for energy systems, such as those focused on optimizing energy storage, renewable energy integration, and low-carbon economic dispatch. He is skilled in using advanced econometric tools to analyze energy data, forecast electricity prices, and predict renewable energy outputs. Jinliang is also highly experienced in applying hybrid modeling techniques for short-term electricity price forecasting and wind and photovoltaic output prediction. His research in carbon emission trading and sustainable energy systems has greatly contributed to shaping policy in China and abroad. He is proficient in using statistical and mathematical modeling to solve energy-related challenges, and his ability to lead interdisciplinary research projects has earned him a reputation as a leader in the field. His strong foundation in applied mathematics, probability, and statistical analysis enhances the precision and applicability of his work.

📖 Publication Top Notes

  • Title: “Economic-emission dispatch problem in a biomass-coal co-firing CCHP system based on natural gas deep peak-shaving and carbon capture technologies”

    • Authors: Jinliang Zhang, Zeping Hu
    • Journal: Computers and Industrial Engineering
    • Year: 2025

  • Title: “A scheduling optimization model for a gas-electricity interconnected virtual power plant considering green certificates-carbon joint trading and source-load uncertainties”

    • Authors: Jinliang Zhang, Ziyi Liu, Yishuo Liu
    • Journal: Energy
    • Year: 2025

  • Title: “Inventory Optimization Model of Biomass Power Plant Considering Multiple Uncertainties”

    • Authors: Jinliang Zhang, Zeping Hu
    • Journal: Zhongguo Dianli/Electric Power
    • Year: 2024

Assoc. Prof. Dr. Hui Zhang | Artificial Intelligence | Industry Achievement Award

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Assoc. Prof. Dr. Hui Zhang | Artificial Intelligence | Industry Achievement Award

Assoc. Prof. Dr. Hui Zhang, Guizhou University of Finance and Economics, China

Hui Zhang is a distinguished senior engineer and associate professor at the School of Information, Guizhou University of Finance and Economics, China. With a Ph.D. in Computational Mathematics from Guizhou Normal University, Zhang has a diverse background spanning both academia and industry. His expertise ranges from computational mathematics to big data and cloud computing, having held prominent roles in R&D departments in China’s tech industry. Additionally, Zhang has served as a reviewer for prestigious journals, contributed to key projects, and holds multiple patents in data science and technology. His ongoing research and professional services make him a well-recognized expert in his field.

Professional Profile

scopus

orcid

Summary of Suitability for the Research for Industry Achievement Award

Dr. Hui Zhang demonstrates a unique combination of academic and industrial achievements, making him a strong candidate for the Research for Industry Achievement Award. His background in computational mathematics and computer science, coupled with his experience in R&D and leadership roles in the big data industry, aligns well with the award’s focus on impactful industrial contributions.

🎓    Education

Hui Zhang completed his Bachelor’s in Information and Computational Science from Guizhou Normal University in 2010, alongside a Bachelor’s in English Education. He pursued a Master’s in Computational Mathematics at the same institution from 2010 to 2013. Hui continued his academic journey by earning a Ph.D. in Computational Mathematics, focusing on innovative computational methods. His educational experience highlights a strong foundation in both mathematics and interdisciplinary learning, setting the stage for his research and teaching career at Guizhou University of Finance and Economics.

💼   Experience

Hui Zhang’s career includes a range of positions in both academia and industry. After completing his master’s degree, he worked as a Business Manager at the Postal Savings Bank of China. He then transitioned to academic research while pursuing his Ph.D., contributing to key projects at the Guizhou Key Laboratory of Information and Computing Science. In industry, Zhang served as a Senior R&D Engineer and later General Manager of the R&D Department at Guizhou-Cloud Big Data Industry Development Co. Since 2022, he has been an associate professor at Guizhou University of Finance and Economics and a postdoctoral researcher, continuing to innovate in computer science and data science fields.

🏅  Awards and Honors

Hui Zhang’s numerous recognitions include being a Review Expert for multiple academic and governmental bodies, such as the Guizhou Provincial Department of Science and Technology. His technical contributions have earned him industry accolades, and he was invited to join the Big Data Expert Committee of the China Computer Federation. Zhang has also been honored as an Industrial Mentor in Guizhou Province and contributed as an expert reviewer for the prestigious Alexandria Engineering Journal. His expertise in computational mathematics and data science has made him a sought-after advisor and collaborator.

🌍  Research Focus

Hui Zhang’s research focuses on computational mathematics, big data, and information systems, particularly in developing algorithms and systems for data processing and analysis. He has worked extensively on Pulsar Data Processing, contributing to the design and implementation of comparative analysis and visualization systems. His research extends into numerical analysis, with a focus on finite element methods for solving complex mathematical problems. Zhang’s interdisciplinary approach combines theoretical mathematics with practical applications in data science, making significant advances in these fields.

📖 Publication Top Notes

  1. Generalized picture fuzzy Frank aggregation operators and their applications
  2. A second-order accurate and unconditionally energy stable numerical scheme for nonlinear sine-Gordon equation
  3. Asymmetrical interactions driven by strategic persistence effectively alleviate social dilemmas
  4. A Certificateless Verifiable Bilinear Pair-Free Conjunctive Keyword Search Encryption Scheme for IoMT
  5. Deformations and Extensions of Modified λ-Differential 3-Lie Algebras