Mozhgan Abbasi | Environmental Science | Women Researcher Award

Assoc. Prof. Dr. Mozhgan Abbasi | Environmental Science | Women Researcher Award

researcher, university, Iran

Mozhgan Abbasi is an accomplished Associate Professor in Remote Sensing and GIS Science at Shahrekord University, Iran. With a passion for exploring the complexities of forestry through advanced technology, she specializes in hyperspectral imaging and UAV applications. Her extensive academic background and dedication to research have made her a key figure in her field. 🌲📊

Publication Profile

Google Scholar

Education

Mozhgan completed her Bachelor of Science in Natural Resources, focusing on Forestry, at the University of Guilan, Iran. She earned her Master of Science in Forestry with an emphasis on Remote Sensing and GIS from the University of Tehran. Further enhancing her expertise, she obtained a Ph.D. in Natural Sciences with a specialization in Remote Sensing from the same university. 📚🎓

Experience

With over two decades of experience in academia, Mozhgan has held various positions, including Research Assistant and Teaching Assistant at the University of Tehran. Since 2009, she has served as an Associate Professor at Shahrekord University, where she has also held the role of Head of the Forest Science Department. Her research contributions include numerous projects that leverage remote sensing technologies for forestry applications. 👩‍🏫🌍

Research Focus

Mozhgan’s research interests lie at the intersection of remote sensing and forestry, with a specific focus on in situ spectroradiometry, imaging spectroscopy, and the application of UAV imagery in vegetation mapping. Her work aims to enhance the understanding of forest dynamics and improve resource management practices. 🌱🔍

Awards and Honours

Mozhgan has received recognition for her contributions to forestry science and remote sensing, reflecting her commitment to advancing the field and fostering sustainable practices in forestry. 🏆✨

Publication Highlights

Mozhgan has authored several notable publications, including:

Investigation on the possibility of beech type mapping using Landsat ETM+ data (2009), Iranian Journal of Forest.

Investigation of leaf spectral reflectance of most important species of Caspian forests using field spectroradiometry (2010), Iranian Journal of Forest and Poplar Research.

Comparison of abaxial and adaxial spectral reflectance of Fagus orientalis Lipsky and Carpinus betulus using field spectroradiometry and spectral indices (2010), Iranian Journal of Forest.

Evaluation of spectral reflectance of seven North Iranian rice varieties canopies (2011), Journal of Agricultural Science and Technology.

 

 

 

 

Qingyu Sui | Ecosystem service | Best Researcher Award

Mr. Qingyu Sui | Ecosystem service | Best Researcher Award

Researcher, Northeast Foresty University, China

Qingyu Sui is a PhD student at Northeast Forestry University, specializing in forest management. With a solid academic background in landscape architecture and architectural environment engineering, Qingyu is passionate about sustainable development and the quantification of ecosystem services. His research focuses on innovative methods to assess environmental impacts and improve ecological conservation efforts.

Profile

Orcid

Strengths for the Award:

Academic Excellence:
The candidate has demonstrated outstanding academic performance throughout their educational journey. Notably, they were admitted to Yanbian University with a high ranking and received a school-level academic scholarship for three consecutive years (2020-2023). This consistent recognition highlights their dedication and intellectual capabilities.

Research Contributions:
The candidate has made significant research contributions, particularly in the fields of ecosystem services and carbon sequestration. As the first author, they published a paper in the journal Sustainability (2023 impact factor 3.9), focusing on the quantitative evaluation of ecosystem services provided by urban street trees. Additionally, they have submitted another paper to the International Journal of Sustainable Development & World Ecology (2023 impact factor 6.22), assessing the value of carbon sequestration in the Amur River Basin. These publications demonstrate their ability to conduct high-impact research relevant to environmental sustainability.

Technical Skills:
The candidate possesses a wide range of practical and technical skills essential for modern research. Their proficiency in modeling software (IUEMS, I-Tree, ENVI-met) and professional image production tools (ArcGIS, PS, Origin2022b) equips them with the necessary tools to conduct complex analyses and produce high-quality research outputs. Moreover, their expertise in statistical analysis using Matlab, Python, Excel, and R language enhances their ability to interpret data accurately and effectively.

Work Experience:
The candidate has gained valuable work experience as a Remote Sensing Intern and an FQC Management Engineer. These roles have provided them with practical insights and hands-on experience in applying their academic knowledge to real-world problems, further strengthening their research capabilities.

Areas for Improvement:

Broader Research Exposure:
While the candidate has made commendable contributions to the field of environmental sustainability, expanding their research to include interdisciplinary collaborations could enhance the impact of their work. Engaging with experts from related fields such as economics, sociology, and urban planning could lead to more comprehensive and innovative research outcomes.

Leadership and Mentorship:
The candidate could benefit from opportunities to lead research projects or mentor junior researchers. Taking on such roles would not only help develop their leadership skills but also contribute to their professional growth and recognition within the academic community.

International Collaboration:
To further their research impact, the candidate could seek opportunities for international collaboration. Engaging with global research networks and participating in international conferences would expose them to diverse perspectives and cutting-edge research, potentially leading to new insights and advancements in their field.

Education 🎓

Qingyu Sui’s academic journey began with a Bachelor’s degree in Architectural Environment and Energy Application Engineering from Dalian University for Nationalities (2014-2018). He then pursued a Master’s degree in Landscape Architecture at Yanbian University (2020-2023), where he excelled academically, earning a school-level scholarship and graduating as an Outstanding Graduate. In June 2023, Qingyu commenced his PhD studies at the Forestry College of Northeast Forestry University, focusing on forest management.

Experience 🏆

Qingyu has gained valuable work experience as a Remote Sensing Intern at Heilongjiang Donglin Urban and Rural Environmental Planning and Design Institute from July 2023 to June 2024. Before this, he worked as an FQC Management Engineer at Chongqing Laibao High-Tech Co., Ltd. from July 2018 to July 2019. These roles have honed his practical skills in environmental planning, remote sensing, and quality control, enhancing his capabilities in both research and industry applications.

Research Interests 🔬

Qingyu Sui is deeply interested in sustainable development, ecosystem services, and carbon sequestration. His research often explores the intersection of urban forestry and environmental science, particularly focusing on the quantification and valuation of ecosystem services provided by urban street trees and the carbon sequestration potential of various landscapes. He leverages advanced modeling software and statistical tools to conduct his research.

Awards 🏅

Throughout his academic career, Qingyu has received several accolades:

  • Admitted to Yanbian University in 2020 with a high ranking and a total score of 382 points.
  • School-Level Academic Scholarship recipient from Yanbian University for the years 2020-2023.
  • Outstanding Graduate of Yanbian University in 2023 for his exceptional academic performance and contributions.

Publications Top Notes 📖

Quantitative Evaluation of Ecosystem Services of Urban Street Trees: A Case Study of Shengjing Historical and Cultural Block in Shenyang, China
Sustainability, 2023, 15(3), 2532.
Impact Factor: 3.9
Citations: Not yet cited

Value Assessment of Carbon Sequestration in Generalized Black Soil Distribution Area of Amur River Basin, China
International Journal of Sustainable Development & World Ecology, 2023.
Impact Factor: 6.22
Citations: Not yet cited

Conclusion

The candidate is a strong contender for the “Best Researcher Award” due to their academic excellence, significant research contributions, and advanced technical skills. Their published work and practical experience demonstrate a high level of competence and dedication to their field. However, to reach their full potential, they could benefit from broader research exposure, leadership opportunities, and international collaborations. With continued growth and development, the candidate is poised to make even greater contributions to the field of environmental sustainability and beyond.

Wentao Yan | Environmental Science | Best Researcher Award

Prof Dr. Wentao Yan | Environmental Science | Best Researcher Award

Professor, Tongji university, China

📜 Dr. Wentao Yan is a distinguished Professor in the College of Architecture and Urban Planning (CAUP) at Tongji University in Shanghai, China. He has also served as a visiting scholar at the University of North Carolina at Chapel Hill, USA. Dr. Yan’s research primarily focuses on ecological urban and sustainable spatial development, urban resilience, and green infrastructure. His work addresses environmental sustainability in urbanization and urban growth, and he explores methods to make rapid urban growth processes more equitable, transparent, and socially and ecologically sustainable.

Education

🎓 Dr. Yan obtained his Ph.D. in Environmental Engineering from the University of Chongqing in 2007. He also holds a Master of Science in Urban Planning, earned in 1994, and a Bachelor of Science in Urban Planning, awarded in 1991, both from the University of Chongqing.

Experience

👨‍🏫 Dr. Yan has an extensive professional background. He has been a Professor at Tongji University since 2017. He was a visiting scholar at the University of North Carolina at Chapel Hill (2013-2014) and at the Royal College of Science and Engineering in Melbourne, Australia (2011). Before his current role, he served in various academic positions at the University of Chongqing, including Associate Professor and Post-Doctoral Researcher.

Research Interests

🔬 Dr. Yan’s research interests include ecological urban and sustainable spatial development, urban resilience, and green infrastructure. He focuses on creating tools for low carbon and ecological city developments and formulating resilience-oriented urban planning theory and practice.

Awards

🏆 Dr. Yan has received numerous accolades, such as the First Prize of the Geographic Information Technology Award in 2018 for his work on rainwater models and the Uwater Platform. He has also been recognized with the Second Prize of the Huaxia Construction Science and Technology Award in 2016 and several urban planning and design awards from various esteemed organizations.

Publications

📚 Dr. Yan has published extensively. Here are a few highlighted works:

  1. Li Z, Yan W*, Wang L. (2024). Measuring mobility resilience with network-based simulations of flow dynamics under extreme events. Transportation Research Part D: Transport and Environment. Link.
  2. Huang Y, Yan W*, Wende W, Xiao S. (2024). A multi-scale identification and optimization framework of ecological sources for different conservation objectives. Landscape and Urban Planning. Link.
  3. Song C, Yan W*, Huang Y, Wang L. (2024). An assessment framework of PM2.5 exposure based on residents’ travel process using mobile phone data. Landscape and Urban Planning. Link.
  4. Ren J, Yan W*. (2024). Defining urban network resilience: a review. Frontiers of Urban and Rural Planning. Link.