Yinyan Liu | Network Visualization | Best Researcher Award

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Dr. Yinyan Liu | Network Visualization | Best Researcher Award

The University of Sydney | Australia

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Early Academic Pursuits

Dr. Yinyan Liu demonstrated exceptional academic aptitude from the beginning of her educational journey. She earned a Bachelor of Engineering in Measuring & Controlling Technology and Instrument from North China Electric Power University, receiving multiple scholarships for outstanding performance. She continued her studies with a Master’s in Control Engineering at Tsinghua University, where she ranked among the top 2% of students and was awarded the National Scholarship by China’s Ministry of Education. Dr. Liu further advanced her expertise by completing a Ph.D. in Electrical & Information Engineering at the University of Sydney, supported by the University of Sydney International Scholarship and a Top-up Scholarship, reflecting her strong dedication to research and innovation in engineering.

Professional Endeavors

Following her doctoral studies, Dr. Liu embarked on a distinguished career bridging academia and industry. She has served as a Lecturer at the University of Sydney, overseeing teaching, course coordination, and student supervision, while conducting cutting-edge research on energy transition and sustainability. Her prior roles include a Postdoctoral Research Associate at UNSW, algorithmic engineering in industry settings, and control engineering for power plants, reflecting a rare combination of academic rigor and practical problem-solving expertise. She has also contributed as a course developer and consultant for renewable energy companies, demonstrating her ability to translate research into actionable solutions.

Contributions and Research Focus

Dr. Liu’s research primarily focuses on integrated energy systems, distributed renewable energy, and data-driven technologies for sustainability. Her work spans the development of 100% renewable energy systems, optimization algorithms for energy management, fault detection in photovoltaic systems, and innovative business models for shared energy storage. She has also advanced methods in home energy management systems, peak price forecasting, and non-intrusive load monitoring using statistical, machine learning, and deep learning techniques. Her research blends mathematical modeling, algorithmic optimization, and empirical analysis, positioning her at the forefront of sustainable energy innovation.

Impact and Influence

Dr. Liu’s research has had significant influence both academically and industrially. She has successfully collaborated with industrial partners and universities, translating complex energy challenges into practical solutions that enhance decarbonization and energy efficiency. By co-supervising students, securing grants, and contributing to interdisciplinary courses, she has fostered knowledge transfer and skill development for the next generation of energy researchers. Her work on renewable energy integration and smart energy management has potential to inform policy, improve energy infrastructure, and support sustainable societal development globally.

Academic Citations

While specific citation metrics are not provided in the available data, Dr. Liu’s consistent contributions to high-impact projects and publications in renewable energy, energy optimization, and smart grid technologies reflect a strong academic footprint. Her research in energy system modeling, fault diagnosis, and non-intrusive load monitoring positions her as a recognized contributor in both applied and theoretical domains of electrical and renewable energy engineering.

Legacy and Future Contributions

Dr. Liu has established a legacy of combining rigorous academic research with practical, real-world applications in sustainable energy. Her future work promises to further advance renewable energy integration, enhance intelligent energy management systems, and promote decentralized, data-driven solutions to global energy challenges. Her ongoing mentorship of students and collaboration with industry partners ensures that her impact will continue to grow, inspiring future researchers and practitioners in the field.

Conclusion

Dr. Yinyan Liu exemplifies a researcher whose academic excellence, professional expertise, and innovative contributions converge to advance sustainable energy systems. Her blend of theoretical rigor, practical problem-solving, and leadership in collaborative research positions her as a leading figure in her field, with a legacy that promises enduring influence on both academia and industry.

Notable Publications

“A methodological review of cost-effective data-driven fault detection and diagnosis in distributed photovoltaic systems" 

  • Author: Yinyan Liu; Earl Duran; Anna Bruce; Baran Yildiz; Bernardo Mendonca Severiano; Ibrahim Anwar Ibrahim; Jonathan Rispler; Chris Martell; Fiacre Rougieux
  • Journal: Applied Energy
  • Year: 2025

"Economic feasibility and backup capabilities of solar-battery systems for residential customers" 

  • Author: Yinyan Liu; Baran Yildiz‏
  • Journal: Energy
  • Year: 2025

"Techno-economic optimization of electric water heater and battery energy storage for residential dwellings with rooftop PV systems" 

  • Author: Yinyan Liu; Baran Yildiz
  • Journal: Energy and Buildings
  • Year: 2025

"A Flowrate Estimation Method for Gas–Water Two-Phase Flow Based on Multimodal Sensors and Hybrid LSTM-CNN Model" 

  • Author: Yuxiao Jiang; Yinyan Liu; Baijin Mao; Xing Lu; Yi Li; Lihui Peng‏
  • Journal: IEEE Transactions on Instrumentation and Measurement‏
  • Year: 2024

"A Flow Rate Estimation Method for Gas–Liquid Two-Phase Flow Based on Transformer Neural Network" 

  • Author: Yuxiao Jiang; Hao Wang; Yinyan Liu; Lihui Peng; Yanan Zhang; Bing Chen; Yi Li
  • Journal: IEEE Sensors Journal
  • Year: 2024

 

Yibao Jiang | Electric Power and Energy Network | Best Researcher Award

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Assist. Prof. Dr. Yibao Jiang | Electric Power and Energy Network | Best Researcher Award

Assistant Professor at Shandong University, China📖

Dr. Yibao Jiang is an Assistant Professor at the School of Electrical Engineering, Shandong University, China. He specializes in power system optimization, renewable power integration, and artificial intelligence applications in energy systems. His research primarily focuses on the operational optimization of renewable energy systems, the integration of renewable power, and multi-energy synergies. Dr. Jiang has also contributed to the development of energy optimization tools and AI-enabled solutions in the power sector.

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Education Background🎓

Dr. Yibao Jiang completed his Ph.D. in Electrical Engineering at Zhejiang University, China, in June 2020, where he focused on coordinated operation of district integrated energy systems with uncertainties. Prior to that, he earned his Bachelor’s degree in Electrical Engineering from the same institution in 2015, graduating with top honors and a GPA of 3.98/4.0, ranking 1st in his class.

Professional Experience🌱

Dr. Jiang is currently an Assistant Professor at Shandong University (2022–present), where his work revolves around power system optimization and the integration of renewable energy. He has also worked as a Research Scientist at Meituan (2020–2022) and as a Research Intern at Alibaba (2019), focusing on online promotions and energy management. Additionally, he has held positions as a Visiting Graduate at MIT’s LIDS and has collaborated with various institutions like the State Grid Economic and Technological Research Institute.

Research Interests🔬

Dr. Jiang’s research interests include the optimization and control of renewable-dominated electric power systems, artificial intelligence for energy systems, and multi-energy synergy for renewable power integration. His work combines optimization, machine learning, and control theory to improve the efficiency and reliability of energy systems, particularly in the context of integrating renewable energy and managing uncertainties.

Author Metrics

Dr. Jiang has published extensively in top-tier conferences and journals, including the IEEE Power & Energy Society General Meeting and the IEEE Transactions on Power Systems. He has authored numerous conference papers, some of which have won awards such as the Best Paper Award at the IEEE Power & Energy Society General Meeting in 2019. His work has garnered significant attention in the academic community, and he has mentored several graduate theses on energy optimization and digital twin systems.

Publications Top Notes 📄

1. Stochastic Receding Horizon Control of Active Distribution Networks with Distributed Renewables

  • Authors: Y. Jiang, C. Wan, J. Wang, Y. Song, Z.Y. Dong
  • Journal: IEEE Transactions on Power Systems
  • Volume: 34, Issue: 2, Pages: 1325-1341
  • Year: 2018
  • Citations: 102
  • Summary: This paper presents a stochastic receding horizon control (SRHC) strategy for active distribution networks that integrate distributed renewable energy sources. The method focuses on improving the operational flexibility of distribution systems and enhancing the integration of renewable generation by considering uncertainties in renewable generation and demand.

2. A Hybrid Stochastic-Interval Operation Strategy for Multi-Energy Microgrids

  • Authors: Y. Jiang, C. Wan, C. Chen, M. Shahidehpour, Y. Song
  • Journal: IEEE Transactions on Smart Grid
  • Volume: 11, Issue: 1, Pages: 440-456
  • Year: 2019
  • Citations: 93
  • Summary: This work develops a hybrid stochastic-interval operation strategy for multi-energy microgrids, considering both stochastic and interval-based uncertainties. The strategy optimizes the scheduling of generation, storage, and consumption in multi-energy microgrids, with the goal of improving system reliability and efficiency while minimizing operational costs.

3. Exploiting Flexibility of District Heating Networks in Combined Heat and Power Dispatch

  • Authors: Y. Jiang, C. Wan, A. Botterud, Y. Song, S. Xia
  • Journal: IEEE Transactions on Sustainable Energy
  • Volume: 11, Issue: 4, Pages: 2174-2188
  • Year: 2019
  • Citations: 78
  • Summary: This paper investigates the flexibility of district heating networks in optimizing the combined heat and power (CHP) dispatch. By exploiting the thermal storage and flexibility within district heating systems, the authors propose a method for improving the operational efficiency of CHP units and reducing fuel consumption in energy systems with high heat demand.

4. Convex Relaxation of Combined Heat and Power Dispatch

  • Authors: Y. Jiang, C. Wan, A. Botterud, Y. Song, M. Shahidehpour
  • Journal: IEEE Transactions on Power Systems
  • Volume: 36, Issue: 2, Pages: 1442-1458
  • Year: 2020
  • Citations: 53
  • Summary: This paper explores the convex relaxation techniques to solve the combined heat and power (CHP) dispatch problem. The authors propose a convex relaxation approach to deal with the non-convexity of CHP dispatch problems, which significantly improves the computational efficiency while providing near-optimal solutions for large-scale systems.

5. Distributed Control of Multi-Energy Storage Systems for Voltage Regulation in Distribution Networks: A Back-and-Forth Communication Framework

  • Authors: P. Yu, C. Wan, Y. Song, Y. Jiang
  • Journal: IEEE Transactions on Smart Grid
  • Volume: 12, Issue: 3, Pages: 1964-1977
  • Year: 2020
  • Citations: 52
  • Summary: This paper develops a distributed control framework for multi-energy storage systems to address voltage regulation challenges in distribution networks. The proposed back-and-forth communication method allows energy storage systems to coordinate their responses efficiently, improving voltage stability and reducing power loss in distribution networks.

Conclusion

Dr. Yibao Jiang is a highly accomplished researcher whose work in renewable energy integration, optimization strategies, and AI applications has made significant contributions to the field of electrical engineering and energy systems. His research has a high potential for real-world impact, particularly in improving the efficiency of renewable energy systems and the integration of multiple energy sources. While his work is already exemplary, expanding the practical implementation and interdisciplinary collaborations could further enhance his already impressive career. Given his innovative contributions, extensive publication record, and academic recognition, Dr. Jiang is a deserving candidate for the Best Researcher Award in the energy systems and renewable energy research domain.