Prof Leijiao Ge | Electrical Engineering | Best Researcher Award

Associate Professor, Tianjin University, China

Leijiao Ge is an Associate Professor at the School of Electrical Automation and Information Engineering, Tianjin University. Her research emphasizes situation awareness in smart distribution networks, smart grids, cloud computing, and big data. With numerous high-impact publications in esteemed journals like IEEE Transactions on Sustainable Energy and ACS Nano, she has gained international recognition. Her innovative approaches in distributed generation, integrated energy systems, and smart insole technologies reflect her dedication to advancing energy and automation solutions.

PROFESSIONAL PROFILE

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STRENGTHS FOR THE AWARDS

1. Extensive Publication Record: Dr. Leijiao Ge has authored numerous high-impact publications across prestigious journals, such as IEEE Transactions on Sustainable Energy and ACS Nano. Several papers have high citation counts, including notable works on distributed generation hosting capacity, smart insoles for energy harvesting, and hydrogen systems.
2. Research Impact: The broad application and relevance of Dr. Ge’s research are evident in critical areas such as smart grids, energy systems optimization, hydrogen generation, and smart distribution networks. This impact is reflected in significant citation metrics across various articles, highlighting the relevance and utility of the work in the academic and industrial sectors.
3. Interdisciplinary Expertise: Dr. Ge’s research spans across key interdisciplinary fields such as cloud computing, big data, situation awareness, and renewable energy integration, which are at the forefront of innovation.
4. Technical Leadership: Contributions like “Probabilistic charging power forecast of EVCS” and “Optimal integrated energy system planning” demonstrate leadership in solving complex, real-world energy challenges, especially in the domains of energy system optimization and carbon emissions reduction.
5. Global Recognition: Dr. Ge’s association with leading institutions such as Tianjin University and collaboration with renowned international researchers reflect a strong academic standing.

AREAS FOR IMPROVEMENT

1. Diversity of Collaboration: While there is evidence of collaboration with international researchers, expanding partnerships with industry stakeholders and government entities could further enhance the practical applications and outreach of the research.
2. Focus on Emerging Topics: Dr. Ge could benefit from delving deeper into emerging topics such as artificial intelligence in energy systems or blockchain for energy distribution, to align with rapidly evolving technological trends.
3. Broader Dissemination: While citation metrics indicate academic recognition, increased public engagement through workshops, public talks, and industry-oriented white papers could amplify the societal impact.

EDUCATION

Leijiao Ge earned her doctoral degree in Electrical Engineering from Tianjin University, where she now serves as an Associate Professor. Her academic journey is deeply rooted in the School of Electrical Automation and Information Engineering. She has consistently excelled in fields like smart grid technology, renewable energy systems, and intelligent automation. Her educational background is a strong foundation for her contributions to sustainable energy and system optimization.

EXPERIENCE

Leijiao Ge’s career spans academia and research, primarily at Tianjin University. She has led numerous projects on sustainable energy systems, situation awareness in smart grids, and energy harvesting. Her work in developing optimization models and algorithms has been instrumental in advancing energy management technologies. She is a frequent contributor to conferences and workshops, sharing her expertise globally.

AWARDS AND HONORS

Leijiao Ge has received multiple accolades for her outstanding contributions to electrical engineering, including recognition for her high-impact research publications. Her awards highlight her achievements in smart grid advancements, distributed energy systems, and sustainable technology innovation. She is also recognized as a leading figure in renewable energy optimization.

RESEARCH FOCUS

Leijiao Ge focuses on smart distribution network awareness, renewable energy integration, and advanced optimization techniques. Her expertise extends to hydrogen energy systems, big data applications, and cloud computing for energy management. She also explores intelligent solutions for biomechanical energy harvesting and energy system modeling.

PUBLICATION TOP NOTES

• Distributed generation hosting capacity evaluation for distribution systems 📝
• Smart insole for robust wearable biomechanical energy harvesting 👣
• Day-ahead optimization schedule for gas-electric integrated energy system ⚡
• Icing-EdgeNet: A lightweight edge method for ice thickness detection ❄️
• A review of hydrogen generation, storage, and applications in power systems 💧
• Optimal integrated energy system planning with DG uncertainty ♻️
• A hybrid model for short-term PV output forecasting 🔋
• Probabilistic charging power forecast of EVCS 🚗
• Modeling daily load profiles of distribution networks 📈
• Virtual collection for distributed photovoltaic data ☀️
• Smart distribution network situation awareness for high-quality operation 🌐
• Variable-inertia emulation control for VSC-HVDC systems 🏗️
• Day-ahead scheduling for electrolytic hydrogen production 🌍
• Short-term load forecasting for electric vehicle charging 🚘
• Hybrid interval AHP-entropy method for electricity user evaluation 🏡
• Short-term load prediction for energy systems using wavelet neural networks 🌀
• Practical duty cycle modulated direct torque control for PMS motors ⚙️
• A review on distributed PV analysis and prediction 🔦
• Operation of stand-alone microgrids with biomass and wind integration 🌾
• Load forecasting for distribution networks using grey wolf optimization 🐺

CONCLUSION

Dr. Leijiao Ge is a highly deserving candidate for the Best Researcher Award. The depth and breadth of their research, coupled with significant contributions to sustainable energy systems and smart grid technologies, establish a compelling case. While there are areas to expand, particularly in industry engagement and emerging technologies, Dr. Ge’s track record showcases a commendable mix of academic rigor, innovation, and impactful applications.