Dr. Gu Shan | Power Systems | Women Researcher Award

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Dr. Gu Shan | Power Systems | Women Researcher Award

Associate Professor | Zhejiang University of Water Resources and Electric Power | China

Dr. Shan Gu is a researcher in the fields of energy engineering, sustainable power systems, and environmental technology, with a strong focus on biomass utilization, air-pollutant mitigation, and life cycle assessment. Her work integrates engineering experimentation, process optimization, and environmental impact evaluation to advance the development of clean energy technologies. She has contributed significantly to the study of biomass pyrolysis, nanosilica extraction from agricultural waste, and the operational behavior of circulating fluidized bed gasifiers. Her research on biomass CFB gasification systems, including the coupling of gasifiers with industrial steam boilers, has generated important insights into practical challenges such as slagging, ash deposition, and system optimization. These contributions have provided evidence-based guidance for the scaling, operation, and environmental performance improvement of biomass-based energy systems. Dr. Gu has authored more than 30 research publications, including multiple SCI-indexed articles, with several featured in high-impact journals. Her scholarly work demonstrates strong visibility, with measurable academic influence across citation databases. According to Scopus, she has 14 indexed documents, 16 citations by 15 documents, and an h-index of 2. Her Google Scholar profile shows significantly higher engagement, with over 250 citations across her most influential works, including widely referenced studies on nanosilica production and biomass gasification, each exceeding 100 citations. Her publications continue to inform ongoing research in sustainable materials, renewable energy pathways, and the optimization of energy–environment systems, positioning her as an active contributor to advancing cleaner technologies and carbon-reduction strategies.

Publication Profile

Scopus

Featured Publications

Gu, S., Zhou, J., Luo, Z., Wang, Q., & Ni, M. (2013). A detailed study of the effects of pyrolysis temperature and feedstock particle size on the preparation of nanosilica from rice husk. Industrial Crops and Products. Citations: 121.

Gu, S., Zhou, J., Yu, C., & Shi, Z. (2015). A novel two-staged thermal synthesis method of generating nanosilica from rice husk via pre-pyrolysis combined with calcination. Industrial Crops and Products. Citations: 105.

Gu, S., Zhou, J., Luo, Z., & Shi, Z. (2015). Kinetic study on the preparation of silica from rice husk under various pretreatments. Journal of Thermal Analysis and Calorimetry. Citations: 25.

Gu, S., Zhou, J., Lin, B., & Luo, Z. (2015). Life cycle greenhouse gas impacts of biomass gasification-exhausted heat power generation technology in China. Journal of Biobased Materials and Bioenergy..

Li, R., Gu, S., Ye, Y., Li, Z., Zhou, L., & Xu, C. (2025). System optimization and primary electrical design of a 50 MW agrivoltaic power station: A case study in China.

Sisil Kumarawadu | Energy systems applications | Excellence in Innovation

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Prof. Sisil Kumarawadu | Energy systems applications | Excellence in Innovation

Senior Professor, University of Moratuwa, Sri Lanka

Sisil Kumarawadu, Ph.D., is a Senior Professor in Electrical Engineering at the University of Moratuwa, Sri Lanka, and a distinguished professor at Shanghai University of Electric Power. With expertise in smart energy-efficient systems, systems automation, and AI applications, he has made significant contributions to robotics, intelligent systems, and applied statistics. His leadership extends to his past roles as the Head of the Department of Electrical Engineering and Chairman of the Board of Governors at the Arthur C. Clarke Institute for Modern Technologies. Dr. Kumarawadu’s career includes research, teaching, and mentorship, further enhancing his stature as a leading academic and innovator in electrical engineering. 📚💡🌍

Publication Profile

Scopus

Education:

Dr. Kumarawadu holds a Ph.D. in Robotics and Intelligent Systems from Saga National University, Japan (2003), a Master’s degree in Advanced Systems Control Engineering from the same institution (2000), and a First Class Honours BSc in Electrical Engineering from the University of Moratuwa, Sri Lanka (1996). 🎓📘

Experience:

Dr. Kumarawadu has over two decades of experience in academia, having served as a Senior Professor, Professor, and Associate Professor in Electrical Engineering at the University of Moratuwa. He has held notable positions including the Exetel Endowed Professor in Artificial Intelligence and Postdoctoral Research Fellow at the National Central University, Taiwan. He has delivered keynote speeches at major international conferences and has contributed to several research projects in automation, energy systems, and AI. 🏫🌍📈

Research Interests:

Dr. Kumarawadu’s research interests include smart energy-efficient systems, systems automation and control, AI applications, and applied statistics. He is particularly focused on innovations in robotics, intelligent transportation systems, and sustainable energy solutions, contributing to various cutting-edge advancements in these fields. ⚡🤖🔬

Awards:

Dr. Kumarawadu has received numerous prestigious awards, including the Sri Lanka Education Leadership Award (2019), the National Research Council Merit Award for Scientific Publications (2010), and the Presidential Award for Scientific Research Publications (2007, 2008). He has also been honored as an Overseas Distinguished Professor by Shanghai University of Electric Power and recognized in the Marquis Who’s Who in the World (25th Edition). 🏆🥇🎖️

Publications:

“NILM for Commercial Buildings: Deep Neural Networks Tackling Non-Linear and Multi-Phase Loads,” Energies (Section F: Electrical Engineering), Vol. 17, Issue 15, August 2024.

“A Biphasic Machine Learning Approach for Detecting Electricity Theft Cyberattacks in Smart Grids,” IEEE Trans. Smart Grids (under review).
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“Dijkstra Method Based Zone Temperature Management Strategy for Optimal Energy Saving with Guaranteed Thermal Comfort,” The International Journal of Building Science and its Applications (under review).
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“Review on Li-Ion Battery Parameter Extraction Methods,” IEEE Access, Vol. 11, 2023.
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“Deep Learning-based Non-Intrusive Load Monitoring for a Three-Phase System,” IEEE Access, Vol. 11, 2023.
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