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

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

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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

Eliyad Yamini | Renewable Energy | Best Researcher Award

Eliyad Yamini | Renewable Energy | Best Researcher Award

Research Assistant at K. N. Toosi University of Technology,Iran

Eliyad Yamini is an emerging scholar in the fields of energy and mechanical engineering, recognized for his exceptional academic performance and innovative research contributions. With a solid foundation in renewable energy systems, optimization, and emerging technologies, Yamini’s work is poised to make significant impacts in these critical areas. His dedication to advancing energy solutions and his remarkable achievements underscore his suitability for the Best Researcher Award.

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🎓Education

Eliyad Yamini completed his Bachelor’s degree in Mechanical Engineering at Islamic Azad University, Tabriz, Iran, with a notable GPA of 17.94/20. His final project investigated dynamic instability in multilayer composite panels, showcasing his analytical skills. Currently pursuing an MSc in Energy Conversion Engineering at K. N. Toosi University of Technology, Tehran, Iran, Yamini is focusing on the integration and optimization of solar power and geothermal energy, with a GPA of 17.31/20.

💼Work Experience

Yamini’s professional experience includes roles as a Research Assistant and Teacher Assistant at Khaje Nasir University of Technology, where he has contributed to academic research and supported educational activities. He also serves as a Scientific Researcher at Mosala Research Center, further enhancing his practical and research skills in the field.

🔍Research Focus 

Yamini’s research spans several critical areas in energy and mechanical engineering. His interests include:

  • Renewable Energy Systems: Developing sustainable and efficient energy solutions.
  • Desalination Systems: Improving methods for water purification.
  • Heat Transfer and Fluid Mechanics: Analyzing and optimizing thermal processes.
  • Optimization Techniques: Enhancing system performance and efficiency.
  • Energy Storage Systems: Advancing technologies for energy storage and management.
  • Hydrogen, Biogas, and Biofuels: Exploring alternative energy sources.
  • CO2 Capture Technologies: Addressing climate change through carbon capture.
  • Emerging Technologies: Integrating AI, Digital Twins, and the Metaverse into engineering solutions.

🏆Awards and Honors

Eliyad Yamini has received several accolades reflecting his academic excellence and research prowess:

  • Rank 1 in Bachelor’s Degree: Graduated at the top of his class with a GPA of 3.6/4 from Islamic Azad University.
  • Top Student Award: Recognized as a top student during high school by the National Organization for Development of Exceptional Talents (Sampad).
  • Top 1% in Iran’s 2021 Master Exam: Achieved a top percentile ranking, enabling admission to K. N. Toosi University.
  • Reviewer for Frontiers in Energy Research (2024): Contributed as a peer reviewer for a leading journal in energy research.

Conclusion

Eliyad Yamini is a compelling candidate for the Best Researcher Award. His exceptional academic record, diverse research focus, and significant achievements reflect his dedication and potential in advancing the field of energy and mechanical engineering. His innovative approach and contributions make him a standout choice for this prestigious award.

📖Publications : 

        1. Comparative Evaluation of Advanced Adiabatic Compressed Gas Energy Storage Systems
          Year: 2023
          Journal: Journal of Energy Storage
          Emojis: ⚙️🔋📊
        2. Navigating Challenges in Large-Scale Renewable Energy Storage: Barriers, Solutions, and Innovations
          Year: 2024
          Journal: Energy Reports
          Emojis: 🌍🔋🚧
        3. Optimizing Cogenerated Systems: A Dual Perspective on Thermodynamics and Economics with Integrated Desalination
          Year: 2024
          Journal: Available at SSRN
          Emojis: 🔬💧💰
        4. A Study on Association Between Pregnancy-Associated Plasma Protein-A Levels in the First Trimester and Gestational Diabetes Mellitus
          Year: 2018
          Journal: International Journal of Advanced Research In Medical & Pharmaceutical Sciences
          Emojis: 🩺📉🤰
        5. A Clinical Study on the Relationship Between Maternal Hemoglobin and Gestational Diabetes Mellitus in Hyderabad Population
          Year: 2018
          Journal: International Journal of Advanced Research In Medical & Pharmaceutical Sciences
          Emojis: 🩸📚🩺