Mrs.Jiawei Yu |Electrical Engineering| Best Researcher Award

Mrs.Jiawei Yu |Electrical Engineering| Best Researcher

Researcher , Huazhong University of Science and Technology , China

Jiawei Yu ๐Ÿ‘จโ€๐Ÿ”ฌ, born in June 1996 ๐ŸŽ‚, is a dedicated researcher at the Electric Power Research Institute โšก in Guangzhou, China ๐Ÿ‡จ๐Ÿ‡ณ. With a strong academic background in accounting and electrical engineering ๐Ÿ“š๐Ÿ”Œ, he specializes in real-time simulation and stability analysis of power systems ๐Ÿ’ก. Passionate about scientific exploration ๐Ÿ”ฌ, Jiawei contributes to safer and more efficient renewable energy integration ๐ŸŒฑ๐Ÿ”‹. His rigorous work ethic and innovative mindset ๐Ÿง  make him a valuable figure in the field of new energy and grid safety ๐Ÿ”ง. Jiawei is recognized for advancing power system technologies ๐Ÿ†.

Professional Profile:

SCOPUS

Education & Experience :

Jiawei Yu completed his masterโ€™s degree ๐ŸŽ“ in Accounting and Electrical Engineering from Huazhong University of Science and Technology ๐Ÿซ (2018โ€“2021). His research focused on the stability analysis of power systems and new energy control โš™๏ธ๐Ÿ”‹. Since July 2021, he has been working as a researcher at the Electric Power Research Institute ๐Ÿ”ฌ, contributing to real-time simulation of large-scale power grids, grid connection testing for renewables, and stability evaluations โšก๐ŸŒ. Based in Guangzhou ๐Ÿ“, he brings academic excellence and technical expertise to China’s evolving energy landscape ๐Ÿ‡จ๐Ÿ‡ณ.

Professional Development :

Professionally, Jiawei Yu focuses on power grid simulation and renewable energy integration โšก๐ŸŒฟ. His key skillset includes expertise in RTDS (Real-Time Digital Simulator) ๐Ÿ–ฅ๏ธ, allowing advanced modeling of grid behavior. He has played an essential role in grid connection testing of new energy projects ๐Ÿšงโšก, ensuring safety and performance. Jiawei consistently demonstrates a rigorous and scientific approach to research ๐Ÿ”, working at the intersection of innovation, policy, and practical grid operations ๐Ÿง ๐Ÿ’ผ. His contributions reflect a blend of academic knowledge and industry application, shaping the smart grid future ๐ŸŒ๐Ÿ”ง.

Research Focus :

Jiawei Yuโ€™s research focus lies in electrical engineering and power systems, with emphasis on renewable energy integration, stability analysis, and real-time simulation โšก๐Ÿ”‹. He is deeply involved in testing how new energy sources interact with large grids ๐ŸŒ and analyzing their safety and operational impact ๐Ÿšจ. His work supports the transition to green energy through technical innovation and simulation technologies like RTDS ๐ŸŒฑ๐Ÿ’ป. This positions him within Energy Systems Engineering, Smart Grid Development, and New Energy Control Systems ๐Ÿง ๐Ÿ”ง, making him a vital contributor to the modernization of Chinaโ€™s power infrastructure ๐Ÿ‡จ๐Ÿ‡ณ.

Awards & Honors :

Jiawei Yu has earned prestigious accolades for his groundbreaking work in electrical power research ๐Ÿฅ‡๐Ÿ”‹. In 2022, he received the Outstanding Technical Service Award ๐Ÿ… 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 ๐Ÿฅ‡, recognizing his contributions to simulation and safety analysis in renewable energy systems ๐Ÿ”ฌโšก. These honors reflect his commitment to innovation, problem-solving, and the advancement of sustainable energy technologies ๐ŸŒฑ๐Ÿ†.

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 Waveโ€‘Shipโ€‘Sloshing Interaction
3. Numerical Study on Hydrodynamic Interaction Between Two Parallel Surgeโ€‘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.

Dr Sepideh jahaniVakilKandi | Electrical Control Engineering | Best Researcher Award

Dr Sepideh JahaniVakilKandi | Electrical Control Engineering | Best Researcher Award

Dr Sepideh jahani VakilKandi , University of Zanjan , Iran

A passionate researcher in โšกElectrical Control Engineering, this Ph.D. graduate from the University of Zanjan specializes in cyber-physical systems ๐Ÿ›ก๏ธ, machine learning ๐Ÿค–, and system security ๐Ÿ”. Her research journey began at the University of Tabriz and continues with an ambitious path toward postdoctoral studies ๐Ÿ“š. With a strong foundation in robust adaptive control and a keen interest in intelligent systems like self-driving cars ๐Ÿš—, she aims to shape future innovations in both academia and industry. Her work demonstrates diligence, innovation, and a relentless drive to advance control systems that withstand modern technological threats. ๐ŸŒŸ

Professional Profile

SCOPUS

Education & Experienceย 

She earned her ๐ŸŽ“ B.Sc. and M.Sc. in Electrical Control Engineering from the University of Tabriz, where she worked on wind turbine systems and intelligent heart rate control ๐Ÿƒโ€โ™€๏ธโค๏ธ. Her Ph.D. from the University of Zanjan (2018โ€“2025) focused on the resilient control of cyber-physical systems under cyber-attacks ๐Ÿ›ก๏ธ๐Ÿ’ป. Her academic journey includes hands-on research in quadrotor modeling ๐Ÿš, robotic manipulator control ๐Ÿค–, and fuzzy adaptive systems. Through various assistantships and development projects, she has cultivated strong analytical, modeling, and programming skills crucial for advanced control system design. ๐Ÿ“ˆ

Professional Developmentย 

She has actively engaged in applied R&D throughout her academic career ๐Ÿ”ฌ. From designing robust Hโˆž controllers for quadrotors ๐Ÿš to developing terminal sliding-mode controllers for robotic manipulators ๐Ÿค–, her work bridges theory with real-world application. Her skill set includes adaptive control, fuzzy logic, reinforcement learning, and Lyapunov-based system stability proofs ๐Ÿง ๐Ÿ“. She embraces continuous learning, participating in workshops, collaborative labs, and peer research forums ๐Ÿ“š๐ŸŒ. With a deep interest in future tech and cyber resilience, she continues to enhance her professional capabilities through technical training and interdisciplinary innovation. ๐Ÿ’ก

Research Focus Areaย 

Her research domain spans Cyber-Physical Systems (CPS), System Security ๐Ÿ›ก๏ธ, Malware Analysis ๐Ÿ›, Robust Control Systems โš™๏ธ, and Reinforcement Learning ๐Ÿค–. These fields address the intersection of hardware reliability and software securityโ€”critical in a world of autonomous systems and AI-integrated infrastructure ๐ŸŒ. She particularly excels in building resilient control frameworks that endure cyber-attacks and unpredictable environmental factors. Her studies merge traditional control theory with modern techniques like fuzzy logic and deep learning ๐Ÿง . Her goal is to push the frontier of secure, adaptive, and intelligent control systems for robotics, autonomous vehicles ๐Ÿš˜, and networked infrastructure systems. ๐ŸŒ

Awards and Honorsย 

Although early in her career, her academic excellence and research rigor have earned her recognition in university research circles ๐ŸŽ“๐Ÿ†. Her participation in funded projects at the University of Tabriz and Zanjan, and contributions to CPS resilience under cyber threats, have positioned her as a promising researcher in control engineering ๐Ÿ”ฌ๐Ÿ’ช. She has received commendations for innovative modeling techniques, contribution to R&D labs, and academic presentations at technical conferences ๐Ÿ“ข. Her work on intelligent control systems and fuzzy adaptive designs continues to gain traction, setting her up as a future leader in robust automation and cyber-secure technologies. ๐ŸŒŸ๐ŸŽ–๏ธ

Publication Top Notes

1.Robust Model Predictive Control of Cyber-Physical LPV Systems
S. Jahani, F. Bayat, A. Jalilvand
2023 | IEEE ICEE Conference
DOI: 10.1109/ICEE59167.2023.10334679
โœ… Developed a Robust Model Predictive Control (RMPC) framework for Linear Parameter Varying (LPV) systems under deception attacks and disturbances. Demonstrated significant resilience and precision, ideal for real-world cyber-physical applications.

2.Cyber-Physical Systems Under Hybrid Cyber-Attacks
S. Jahani, F. Bayat, A. Jalilvand
2025 | ISA Transactions (Elsevier)
DOI: 10.1016/j.isatra.2025.05.011
โœ… Introduced a Resilient Event-Triggered Hโˆž Control strategy, capable of defending against hybrid attacks (DoS + deception). Offers a balance between security and efficient communication in networked control systems.

3.Adaptive Control of Autonomous Electric Vehicles (Under Review)
S. Jahani, F. Bayat, A. Jalilvand
2025 | Submitted to Intelligent Vehicle Journal
โœ… Proposes an adaptive event-triggered control for electric vehicles facing actuator faults and cyber-attacks. A major contribution to fault-tolerant autonomous driving systems under uncertain cyber environments.

4. Event-Triggered Consensus in Multi-Agent Systems (Under Review)
S. Jahani, F. Bayat, A. Jalilvand
2025 | Submitted to Computational and Applied Mathematics
โœ… Investigates multi-agent consensus control using event-triggering and Hโˆž robustness. Ensures stability and synchronization among agents in presence of multiple cyber intrusions, applicable in swarm robotics and smart grids.

Conclusion

With a consistent track record of scientific excellence, innovative methodologies, and relevance to pressing technological issues, S. Jahani is highly deserving of the Best Researcher Award. Her vision toward secure, intelligent, and resilient systems positions her as a future leader in smart automation and control engineering.