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Dr. Peiyuan Li | Urban Land Surface Modeling Award | Best Researcher Award

Dr. Peiyuan Li, Discovery Partners Institute, United States

Dr. Peiyuan Li is a multidisciplinary researcher specializing in urban climate modeling and sustainable engineering. With a Ph.D. in Civil, Environmental, and Sustainable Engineering, he has expertise in hydrometeorology, machine learning, and urban informatics. 🌱 His extensive research spans from biogenic carbon exchange in urban environments to nature-based solutions for sustainable urban development. Dr. Li has secured significant funding and published in renowned journals, showcasing his contributions to understanding and mitigating the impacts of climate change in urban areas. Fluent in English and Chinese, he is proficient in various programming languages and software tools essential for his research.

Publication Profile 

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Education

Dr. Peiyuan Li earned his Doctor of Philosophy in Civil, Environmental, and Sustainable Engineering from Arizona State University, USA, from 2017 to 2021. His dissertation focused on the Biogenic Impact of Urban Vegetation on Carbon and Heat Dynamics in the Built Environment. 🌳 Prior to his Ph.D., he completed a Master of Science in Environmental Engineering at the University of Michigan, Ann Arbor, from 2014 to 2016, and a Bachelor of Engineering in Hydrology and Water Resources at Hohai University, China, from 2010 to 2014. 🎓 This diverse educational background has equipped him with a comprehensive understanding of environmental systems and sustainability principles.

 

Research Experience

Dr. Peiyuan Li’s research journey reflects his commitment to understanding and addressing environmental challenges. As a Postdoctoral Research Associate at the Discovery Partners Institute, University of Illinois System, he focuses on evaluating nature-based solutions for the Chicago Metropolitan Area, aiming to foster sustainable urban development. 🌳 His prior role at the Illinois State Water Survey involved the development and evaluation of urban climate models, under the guidance of Dr. Ashish Sharma and Dr. Donald Wuebbles. During his graduate studies, he delved into biogenic CO2 exchange modeling at Arizona State University and explored reactive transport modeling of CO2 sequestration at the University of Michigan. 🎓 His undergraduate research at Hohai University centered on runoff separation techniques, demonstrating his early dedication to environmental science.

 

Teaching Experience

During his tenure as a Graduate Teaching Associate at the Ira A. Fulton Schools of Engineering, ASU, Dr. Peiyuan Li played a crucial role in instructing CEE 341 Fluid Mechanics for Civil Engineers. 📚 Across the fall and spring semesters of 2018 and 2019, he led laboratory sessions with an average of approximately 90 students per semester. 🎓 His dedication to teaching allowed him to impart fundamental concepts of fluid mechanics to aspiring civil engineers, fostering their understanding through hands-on laboratory exercises. 💡 Dr. Li’s commitment to education complemented his research pursuits, creating a holistic approach to his academic endeavors.

 

Award

Dr. Peiyuan Li’s academic excellence has been recognized through prestigious awards and fellowships, affirming his dedication to scholarship. 🏆 In 2023, he received the NSF Convergence Research Fellowship, facilitating training and workshops on convergent research with governmental and industrial leaders. His outstanding dissertation research at ASU earned him the 2021 Dean’s Dissertation Award. 🎓 Additionally, he was honored with the 2021 China Scholarship Council Outstanding Self-Financed Student Award, acknowledging his academic prowess as a Chinese Ph.D. student abroad. 💰 Dr. Li’s remarkable achievements were further recognized with fellowships, including the 2021 Completion Fellowship and the 2020 Engineering Graduate Fellowship, demonstrating his commitment to academic excellence. 🌟 Furthermore, his consistent academic performance at Hohai University earned him the Merit Student Award in 2012 and 2013.

 

Research Focus

Dr. Peiyuan Li’s research focus encompasses the interdisciplinary study of urban environmental dynamics, with a particular emphasis on mitigating heat and carbon emissions through urban greening and sustainable engineering solutions. 🌿 His work delves into the complex interactions between urban landscapes, climate systems, and human activities, aiming to understand and address the environmental challenges faced by modern cities. Through innovative modeling techniques and empirical studies, he seeks to identify effective strategies for enhancing urban resilience and promoting sustainability. Dr. Li’s research contributes to the advancement of knowledge in environmental science and engineering, offering valuable insights for sustainable urban development.

 

Publication Top Notes

  1. Environmental co-benefits of urban greening for mitigating heat and carbon emissions🌳 Cited by 59 📚 Published in 2021
  2. Roles of transport limitations and mineral heterogeneity in carbonation of fractured basalts⛏️ Cited by 35 📚 Published in 2017
  3. Modeling carbon dioxide exchange in a single-layer urban canopy model🏙️ Cited by 25 📚 Published in 2020
  4. Multi-objective optimization of urban environmental system design using machine learning🤖 Cited by 16 📚 Published in 2022
  5. Regional heatwave prediction using graph neural network and weather station data🌡️ Cited by 11 📚 Published in 2023
  6. A nonequilibrium thermodynamic approach for surface energy balance closure🔥 Cited by 11 📚 Published in 2020
  7. Uncertainty and sensitivity analysis of modeling plant CO2 exchange in the built environment🌿 Cited by 8 📚 Published in 2021
  8. Modelling the effect of BIPV window in the built environment: Uncertainty and sensitivity🪟 Cited by 7 📚 Published in 2022
  9. Estimating evapotranspiration over vegetated surfaces based on wet patch patterns💧 Cited by 5 📚 Published in 2019
  10. The impact of urban irrigation on the temperature-carbon feedback in US cities💧🌡️ Cited by 2 📚 Published in 2023

 

Peiyuan Li | Urban Land Surface Modeling Award | Best Researcher Award

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