Shunchun Yao | Energy | Best Researcher Award

Prof. Shunchun Yao | Energy | Best Researcher Award

Prof . Shunchun Yao, South China University of Technology, China

Prof. Shunchun Yao is a distinguished professor at South China University of Technology in China. He is renowned for his contributions to his field and is an integral part of the university’s academic and research community. His expertise and leadership have significantly advanced the institution’s research capabilities and educational programs.

Profile

Education

Prof. Shunchun Yao holds a Ph.D. in Power Plant System & Control, which he obtained in June 2011 from the School of Electric Power at South China University of Technology. His doctoral research focused on advanced control systems and optimization techniques for power plants, contributing significantly to the field of electric power engineering. Prior to this, Prof. Yao earned his Bachelor’s degree in Thermal and Dynamic Engineering from the School of Physics at Soochow University in June 2006. His undergraduate studies provided a solid foundation in the principles of thermodynamics and fluid mechanics, essential for understanding and improving thermal systems. Throughout his academic journey, Prof. Yao has demonstrated a strong commitment to advancing knowledge in power systems and control engineering, laying the groundwork for his successful career in academia and research. His educational background reflects a blend of theoretical expertise and practical skills, making him a distinguished figure in his field.

Professional Experience

Prof. Shunchun Yao is a distinguished professor at South China University of Technology, China. He earned his Ph.D. in Power Plant System & Control in June 2011 from the School of Electric Power at South China University of Technology and holds a B.D. in Thermal and Dynamic Engineering from the School of Physics at Soochow University, obtained in June 2006. Prof. Yao has made significant contributions to the scientific community, supported by prestigious talent programs such as the Talent Program for Young Scientists of LIBS (2017), Guangdong province’s high-level personnel special support program (2015), the Pearl River S&T Nova Program of Guangzhou (2014), and the Outstanding Youth Innovative Talents of Higher Learning Institutions of Guangdong (2012). He actively serves as a member of the LIBS committee of the Chinese Society for Optical Engineering and the Tanpuhui expert committee in Guangdong, showcasing his dedication to advancing scientific research and innovation.

Project Management (as Project Manager)

Prof. Shunchun Yao has led numerous significant projects, showcasing his expertise in power plant systems, control, and environmental measurement technologies. His notable projects include the National Natural Science Foundation of China-funded studies on spark-induced plasma spectroscopy of particle flow and unburned carbon in fly ash (2017-2020) and laser plasma characteristics for coal particle flow measurement (2013-2015). Additionally, he contributed to the Guangdong province train high-level personnel special support program (2015-2018) and the Science and Technology Project of Guangdong Province, focusing on online measurement technology for PM2.5 and heavy element emissions from stationary sources (2016-2018). His work in the Pearl River S&T Nova Program of Guangzhou (2014-2017) and collaborations with Shunde Inspection Institute (2016-2019) and Zhuhai coal-fired power plant (2017-2019) further emphasize his contributions. Prof. Yao also secured funding from the Guangdong Natural Science Foundation (2012-2014) and the Fundamental Research Funds for the Central Universities for studies on plasma characteristics of coal and NOx distribution optical sensors (2014-2015, 2018-2020). His leadership and dedication have significantly impacted environmental measurement technologies.

Research Focus

Professor Shunchun Yao is a leading expert in the field of clean energy utilization and thermal systems optimization. His work focuses on developing innovative solutions to improve energy efficiency and reduce emissions in various thermal systems. By leveraging advanced combustion diagnosis techniques, Professor Yao is able to identify and address inefficiencies in combustion processes, leading to more sustainable and environmentally friendly energy use. His research also includes emission monitoring, where he develops and implements cutting-edge technologies to accurately measure and control pollutants released from combustion systems. Through his comprehensive approach, Professor Yao contributes significantly to the advancement of clean energy technologies, ensuring that thermal systems operate at optimal performance while minimizing their environmental impact. His work is instrumental in the global effort to transition towards sustainable energy solutions, making him a prominent figure in the field of energy research and environmental protection.

Award

Prof. Shunchun Yao has garnered numerous accolades for his exceptional contributions to science and technology. In 2017, he was honored with the Young Scientist of LIBS award under the Talent Program for Young Scientists, recognizing his groundbreaking work in the field. His remarkable contributions to high-level personnel training earned him a spot in the Guangdong Province High-Level Personnel Special Support Program in 2015. Further cementing his status as a leading scientist, Prof. Yao was awarded the Pearl River S&T Nova Program of Guangzhou in 2014, acknowledging his significant scientific and technological achievements. His commitment to innovation and higher education was recognized early on when he was named one of the Outstanding Youth Innovative Talents of Higher Learning Institutions of Guangdong in 2012. These prestigious awards reflect Prof. Yao’s sustained dedication to advancing scientific research and fostering innovation, underscoring his influential role in the academic and scientific communities.

Publication Top Notes

  1. “Multi-parameter co-optimization for NOx emissions control from waste incinerators based on data-driven model and improved particle swarm optimization”
    • Authors: Li, Z., Yao, S., Chen, D., Liu, W., Yu, Z.
    • Year: 2024
    • Citations: 0
  2. “Development of laser-induced breakdown spectroscopy based spectral tandem technology: A topical review”
    • Authors: Yao, S., Yu, Z., Hou, Z., Wang, Q., Wang, Z.
    • Year: 2024
    • Citations: 0
  3. “Simultaneous measurement of NH3 and NO by mid-infrared tunable diode laser absorption spectroscopy based on machine-learning algorithms”
    • Authors: Guo, S., Li, Z., Liu, Z., Ren, W., Yao, S.
    • Year: 2024
    • Citations: 0
  4. “Research of Plasma Spectrum Diagnosis and Quantitative Analysis for Coal Powder Flow”
    • Authors: Qin, H., Yao, S., Yu, Z., Dong, M., Lu, J.
    • Year: 2024
    • Citations: 0
  5. “Defect Engineering of Nanocrystal-In-Glass Composites for Ultrashort Optical Pulse Monitoring”
    • Authors: Lin, Q., Lin, X., Feng, X., Qiu, J., Zhou, S.
    • Year: 2024
    • Citations: 0
  6. “Research on etalon-free CO2 measurement based on direct absorption signal fitting”
    • Authors: Yang, Y., Guo, S., Li, J., Zhang, X., Yao, S.
    • Year: 2024
    • Citations: 0
  7. “Quantum cascade laser absorption sensor for in-situ, real-time and sensitive measurement of high-temperature SO2 and SO3”
    • Authors: Duan, K., Wen, D., Ji, Y., Yao, S., Ren, W.
    • Year: 2024
    • Citations: 1
  8. “Application and Analysis of Multi-Component Simultaneous Measurement of Forest Combustibles Pyrolysis Gas Based on TDLAS”
    • Authors: Guo, S.-J., Wang, L.-P., Chen, J.-Z., Lu, Z.-M., Yao, S.-C.
    • Year: 2024
    • Citations: 0
  9. “Modelling nitrogen oxide emission trends from the municipal solid waste incineration process using an adaptive bi-directional long and short-term memory network”
    • Authors: Li, Z., Yao, S., Chen, D., Lu, Z., Yu, Z.
    • Year: 2024
    • Citations: 1
  10. “Current situation and prospect of machine learning-driven boiler combustion optimization technology”
    • Authors: Yao, S., Li, L., Lu, Z., Li, Z.
    • Year: 2024
    • Citations: 0