Mrs.Jiawei Yu |Electrical Engineering| Best Researcher Award

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Mrs.Jiawei Yu |Electrical Engineering| Best Researcher

Researcher , Huazhong University of Science and Technology , China

Jiawei Yu 👨‍🔬, born in June 1996 🎂, is a dedicated researcher at the Electric Power Research Institute ⚡ in Guangzhou, China 🇨🇳. With a strong academic background in accounting and electrical engineering 📚🔌, he specializes in real-time simulation and stability analysis of power systems 💡. Passionate about scientific exploration 🔬, Jiawei contributes to safer and more efficient renewable energy integration 🌱🔋. His rigorous work ethic and innovative mindset 🧠 make him a valuable figure in the field of new energy and grid safety 🔧. Jiawei is recognized for advancing power system technologies 🏆.

Professional Profile:

SCOPUS

Education & Experience :

Jiawei Yu completed his master’s degree 🎓 in Accounting and Electrical Engineering from Huazhong University of Science and Technology 🏫 (2018–2021). His research focused on the stability analysis of power systems and new energy control ⚙️🔋. Since July 2021, he has been working as a researcher at the Electric Power Research Institute 🔬, contributing to real-time simulation of large-scale power grids, grid connection testing for renewables, and stability evaluations ⚡🌐. Based in Guangzhou 📍, he brings academic excellence and technical expertise to China’s evolving energy landscape 🇨🇳.

Professional Development :

Professionally, Jiawei Yu focuses on power grid simulation and renewable energy integration ⚡🌿. His key skillset includes expertise in RTDS (Real-Time Digital Simulator) 🖥️, allowing advanced modeling of grid behavior. He has played an essential role in grid connection testing of new energy projects 🚧⚡, ensuring safety and performance. Jiawei consistently demonstrates a rigorous and scientific approach to research 🔍, working at the intersection of innovation, policy, and practical grid operations 🧠💼. His contributions reflect a blend of academic knowledge and industry application, shaping the smart grid future 🌐🔧.

Research Focus :

Jiawei Yu’s research focus lies in electrical engineering and power systems, with emphasis on renewable energy integration, stability analysis, and real-time simulation ⚡🔋. He is deeply involved in testing how new energy sources interact with large grids 🌍 and analyzing their safety and operational impact 🚨. His work supports the transition to green energy through technical innovation and simulation technologies like RTDS 🌱💻. This positions him within Energy Systems Engineering, Smart Grid Development, and New Energy Control Systems 🧠🔧, making him a vital contributor to the modernization of China’s power infrastructure 🇨🇳.

Awards & Honors :

Jiawei Yu has earned prestigious accolades for his groundbreaking work in electrical power research 🥇🔋. In 2022, he received the Outstanding Technical Service Award 🏅 from the China Southern Power Grid Research Institute, honoring his excellence in technical implementation and reliability assurance. In 2023, he was awarded First Prize for Scientific and Technological Progress 🥇, recognizing his contributions to simulation and safety analysis in renewable energy systems 🔬⚡. These honors reflect his commitment to innovation, problem-solving, and the advancement of sustainable energy technologies 🌱🏆.

Publication Top Notes:

1. Hydrodynamic Interactions of Two Ships Advancing Parallelly in the Head and Oblique Seas
2. A Partitioned Functional-Decomposition Scheme for Modelling Wave‑Ship‑Sloshing Interaction
3. Numerical Study on Hydrodynamic Interaction Between Two Parallel Surge‑Released Ships Advancing in Head Regular Waves Based on the Hybrid Method
4. A Frequency Domain Hybrid Green Function Method for Seakeeping and Added Resistance Performance of Ships Advancing in Waves
  • Authors: (Preview did not state authors)
  • Year: 2024
  • Citations: 2 (as per your list)
  • Points:
    • Develops hybrid Green function method in frequency domain
    • Focuses on seakeeping and added resistance analysis
    • Enhances accuracy of motion predictions in wave scenarios
5. Vertical Line Time Domain Green Function and Its Applications in Numerical Simulation of Ship Seakeeping Performance
  • Authors: (Not listed in preview)
  • Year: 2024
  • Citations: 0 (as per your list)
  • Points:
    • Introduces vertical line time-domain Green function
    • Potentially improves time-domain response prediction accuracy
    • Applies it in numerical simulations of seakeeping behavior

Conclusion :

Jiawei Yu exemplifies the qualities of a leading early-career researcher through his innovative contributions to power system simulation and marine hydrodynamics. His work addresses real-world energy challenges using advanced simulation tools and has direct applications in renewable energy grid safety, ship engineering, and sustainable infrastructure. With a growing citation record, multiple impactful publications, and institutional recognition, he stands out as a well-rounded, high-impact researcher deserving of the Best Researcher Award.

Vahideh Bafandegan Emroozi| Engineering | Women Researcher Award

Published on by Research Scientist

Dr. Vahideh Bafandegan Emroozi| Engineering | Women Researcher Award

Corresponding Author, Ferdowsi university of Mashhad,Iran

Dr. Vahideh Bafandegan Emroozi is a rising academic with a robust publication record, collaborative outlook, and applied interdisciplinary focus. Her work on supply chain optimization, IoT integration, and human reliability is timely and contributes to both industrial efficiency and sustainable development.

Professional Profile:

Scopus

Google scholar

🎓 Education

Vahideh Bafandegan Emroozi holds a Ph.D. in Industrial Management from Ferdowsi University of Mashhad, Iran (2019–2024), with a remarkable GPA of 19.49 out of 20. Her doctoral thesis focuses on developing a maintenance planning model using the Internet of Things (IoT) while accounting for human error. She earned her M.Sc. in Industrial Management from the same university in 2017, graduating with a GPA of 18.96. She began her academic journey with a B.Sc. in Industrial Engineering at Ferdowsi University, graduating in 2012.

Professional Experience

Dr. Bafandegan Emroozi has served as a research fellow at Sanabad University (2023–2024) and Ferdowsi University of Mashhad (2021–2023). In these roles, she has contributed to various multidisciplinary projects focusing on optimization, reliability, and maintenance strategies within industrial systems.

Skills

She brings a strong technical toolkit that includes programming and modeling in Python, MATLAB, GAMS, Vensim, LINGO, LaTeX, UCINET, and Minitab. She is also proficient in MICMAC and Microsoft Office applications, reflecting a solid foundation in both qualitative and quantitative analysis.

Research Interests

r research spans multiple domains, including supply chain management, optimization, maintenance and reliability, human error analysis, inventory control, system dynamics, and mathematical modeling. Her work often explores the intersection of advanced technologies (e.g., IoT) with human-centered decision-making.

✅ Conclusion

Women Researcher Award: Strongly Recommended. Her academic output, innovative scope, and relevance to modern global challenges make her an excellent candidate. Best Researcher Award: Recommended with Reservations. She is well on her way, but continued growth in citations, funding, and global recognition would strengthen her case in the future.

Publication Top Notes:

  • Modares, A., Kazemi, M., Bafandegan Emroozi, V., & Roozkhosh, P. (2023). A new supply chain design to solve supplier selection based on internet of things and delivery reliability. Journal of Industrial and Management Optimization, 19(11), 7993–8028. Cited by: 39

  • Modares, A., Motahari Farimani, N., & Bafandegan Emroozi, V. (2023). A vendor-managed inventory model based on optimal retailers selection and reliability of supply chain. Journal of Industrial and Management Optimization, 19(5), 3075–3106. Cited by: 32

  • Modares, A., Motahari Farimani, N., & Bafandegan Emroozi, V. (2023). A new model to design the suppliers portfolio in newsvendor problem based on product reliability. Journal of Industrial and Management Optimization, 19(6), 4112–4151. Cited by: 25

  • Bafandegan Emroozi, V., Roozkhosh, P., Modares, A., & Roozkhosh, F. (2023). Selecting green suppliers by considering the internet of things and CMCDM approach. Process Integration and Optimization for Sustainability, 7(5), 1167–1189. Cited by: 19

  • Bafandegan Emroozi, V., & Fakoor, A. (2023). A new approach to human error assessment in financial service based on the modified CREAM and DANP. Journal of Industrial and Systems Engineering, 14(4), 95–120. Cited by: 19

  • Bafandegan Emroozi, V., Kazemi, M., Doostparast, M., & Pooya, A. (2024). Improving industrial maintenance efficiency: A holistic approach to integrated production and maintenance planning with human error optimization. Process Integration and Optimization for Sustainability, 8(2), 539–564. Cited by: 18

  • Modares, A., Motahari, N., & Bafandegan Emroozi, V. (2022). Developing a newsvendor model based on the relative competence of suppliers and probable group decision-making. Industrial Management Journal, 14(1), 115–142. Cited by: 18

  • Bafandegan Emroozi, V., Modares, A., & Roozkhosh, P. (2024). A new model to optimize the human reliability based on CREAM and group decision making. Quality and Reliability Engineering International, 40(2), 1079–1109. Cited by: 16

  • Modares, A., Motahari Farimani, N., & Bafandegan Emroozi, V. (2023). Applying a multi-criteria group decision-making method in a probabilistic environment for supplier selection (Case study: Urban railway in Iran). Journal of Optimization in Industrial Engineering, 16(1), 129–140. Cited by: 15

  • Emroozi, V. B., Kazemi, M., Modares, A., & Roozkhosh, P. (2024). Improving quality and reducing costs in supply chain: the developing VIKOR method and optimization. Journal of Industrial and Management Optimization, 20(2), 494–524. Cited by: 1