Diego Guevara Torres | Remote Sensing | Best Researcher Award

Published on by Environmental Scientists

Dr. Diego Guevara Torres | Remote Sensing | Best Researcher Award

The University of Adelaide | Australia

Dr. Diego Guevara Torres is a passionate ecologist whose work bridges field-based ecology, remote sensing, and environmental management. With an academic foundation in biology and applied ecology, he earned his doctorate in ecology and evolutionary biology from the University of Adelaide, where his research explored restoration and monitoring of temperate grasslands using advanced remote sensing and drone-based mapping. His professional experience spans roles as Senior Environmental Scientist, Research Scientist, and Environmental Consultant across Australia and Peru, where he has contributed to vegetation mapping, ecological modeling, impact assessments, and biodiversity monitoring. Skilled in GIS, project coordination, and data analysis using R, Python, ArcGIS, and Google Earth Engine, he brings a data-driven approach to conservation and restoration projects. His field expertise includes bird surveys, vegetation assessment, and habitat suitability modeling. With 12 citations across 12 documents, 5 publications, and an h-index of 2, Dr. Diego Guevara Torres has established a growing scientific footprint. A licensed drone pilot and active member of several ecological societies, he is dedicated to advancing environmental sustainability, promoting ecosystem restoration, and conserving biodiversity across diverse landscapes.

Profile: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn

Featured Publications

Guevara, T. (2012). Avifauna of the forest nursery of the National Agrarian University La Molina. Xilema, 25(1), 83–87.

Guevara-Torres, D. R., & Facelli, J. M. (2023). Choose local: Dung addition from native herbivores can produce substantial positive effects on the growth of native grasses compared to livestock dung. Journal of Soil Science and Plant Nutrition, 23(3), 4647–4655.

Guevara-Torres, D. R., Williams, M., & Palacios, G. (2022). Use of the rock pigeon (Columba livia) as a biomonitor of trace metal pollution in Lima, Peru. Ecología Aplicada, 21(2), 103–112.

Guevara-Torres, D. R., Salvador, J., Antezana, M., Hernández, F., Chumpitaz, K., & Saravia, P. (2017). Records of Vireo flavoviridis on the central coast of Peru. Boletín de la Unión de Ornitólogos del Perú, 12, 15–19.

Guevara-Torres, D. R. (2017). La Molina. Universidad Nacional Agraria La Molina.

Chanchamayo, J. P. (2021). Preliminary list of fauna from Fundo La Génova, Chanchamayo, Junín, Peru.

Zhifei Chen | Remote Sensing | Best Researcher Award

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Prof Zhifei Chen | Remote Sensing | Best Researcher Award

Professor, Nanjing University of Science and Technology, China  🌍

Zhifei Chen is an esteemed Associate Professor at the School of Computer Science and Engineering at Nanjing University of Science and Technology. She earned her B.S. in Software Engineering from Nanjing University of Science and Technology (2012) and a Ph.D. in Computer Science from Nanjing University (2018). Zhifei’s research focuses on remote sensing, intelligent software engineering, and AI testing. She has led significant projects funded by the National Key R&D Program and the National Natural Science Foundation of China, with numerous publications and patents to her name.

Profile

Orcid

Education 🎓

Zhifei Chen completed her B.S. in Software Engineering at Nanjing University of Science and Technology, China, in 2012. She went on to earn a Ph.D. in Computer Science from Nanjing University in 2018, specializing in computer science and technology. Her solid academic foundation has enabled her to make substantial contributions to the fields of remote sensing and software engineering.

Experience 💼

Zhifei Chen holds the position of Associate Professor at Nanjing University of Science and Technology, where she has been involved in cutting-edge research and academic instruction. She has contributed to high-level projects funded by the National Key R&D Program and the National Natural Science Foundation of China. Additionally, she serves as a member of the Software Engineering Committee and the Systems Software Committee of the China Computer Federation (CCF). Zhifei’s role as an editor and conference committee member for top international conferences further highlights her leadership in the field.

Research Interests 🔬

Zhifei’s research interests span remote sensing, software engineering, and AI testing. She focuses on utilizing AI for improving software testing processes and exploring the applications of remote sensing technology in various engineering fields. Zhifei has led multiple research projects, including those related to AI software engineering and intelligent systems. Her work has had a profound impact on advancing software development methodologies and improving engineering practices.

Awards & Positions 🏅

Zhifei has received several accolades for her pioneering work in computer science, including patents and software copyrights. She is also recognized for her leadership roles in academic organizations, serving as an editorial board member for prestigious journals and a PC member for top conferences like AAAI and SEKE. Her commitment to excellence has earned her numerous research grants, including those from the National Natural Science Foundation of China.

Publications Top Notes 📚

Zhifei Chen has authored over 20 papers in top-tier international conferences and journals, including ICSE and TOSEM. She has also published books and holds patents. Some of her notable works include:

“Intelligent Software Engineering: AI Applications” (2023, Journal of Software Engineering)
Cited by source.

“Remote Sensing in Engineering: Applications and Innovations” (2022, IEEE Transactions on Geoscience and Remote Sensing)
Cited by source.

Book: “Remote Sensing and AI in Software Engineering” (ISBN: 9787302630371)

Conclusion

Zhifei Chen is a highly qualified and accomplished candidate for the Best Researcher Award. Her extensive research achievements, including significant projects, publications, patents, and professional contributions, demonstrate her dedication and impact on the fields of remote sensing and software engineering. With her expertise and continuous involvement in high-level research, she is well-positioned to contribute to the scientific community at an even larger scale, making her an ideal candidate for this prestigious award.