Seyed Roohollah Mousavi | Pedometric | Best Researcher Award

Published on by Academic Achievements

Dr. Seyed Roohollah Mousavi | Pedometric | Best Researcher Award 

Dr. Seyed Roohollah Mousavi | Pedometric | PhD Scholar at University of Tehran | Iran

Dr. Seyed Roohollah Mousavi is an accomplished soil scientist and researcher recognized for his expertise in digital soil mapping, pedometrics, and environmental modeling. He obtained his Ph.D. in Soil Resource Management from the University of Tehran, where he specialized in developing predictive models for soil properties in arid and semi-arid regions using advanced statistical and machine learning techniques. Dr. Seyed Roohollah Mousavi also holds an M.Sc. in Soil Genesis and Classification and a B.Sc. in Agricultural Engineering–Soil Science, which laid the foundation for his distinguished academic and research career. Over the years, he has contributed extensively to soil data science, integrating remote sensing, GIS, and artificial intelligence to enhance the precision of land resource evaluation. Professionally, Dr. Seyed Roohollah Mousavi has collaborated with several national and international institutions, including the Earth and Life Institute at Université Catholique de Louvain (UCLouvain), Belgium, where his research explored applications of Google Earth Engine (GEE) and R programming in soil and environmental studies. His research interests span across soil spatial modeling, soil carbon and nitrogen prediction, geostatistics, structural equation modeling, and digital soil property assessment. His technical proficiency includes GIS, remote sensing, multivariate analysis, and environmental data mining, which he applies innovatively in understanding soil-environment interactions. Dr. Seyed Roohollah Mousavi has received recognition for his outstanding contributions to soil science, including citations in high-impact journals and memberships in professional bodies such as the European Geosciences Union (EGU) and the Iranian Soil Science Society (ISSS). His academic achievements and research leadership highlight his dedication to advancing climate-smart agriculture, sustainable land use, and global soil health monitoring. Dr. Seyed Roohollah Mousavi continues to bridge data science and soil ecology, shaping the future of precision soil management and environmental conservation through innovative and evidence-based research.

Profile: Google Scholar

Featured Publications

Mousavi, S. R., Sarmadian, F., Omid, M., & Bogaert, P. (2022). Three-dimensional mapping of soil organic carbon using soil and environmental covariates in an arid and semi-arid region of Iran. Measurement. (47 citations)

Matinfar, H. R., Maghsodi, Z., Mousavi, S. R., & Rahmani, A. (2021). Evaluation and prediction of topsoil organic carbon using machine learning and hybrid models at a field-scale. Catena. (108 citations)

Rezaei, M., Mousavi, S. R., Rahmani, A., Zeraatpisheh, M., & Rahmati, M. (2023). Incorporating machine learning models and remote sensing to assess the spatial distribution of saturated hydraulic conductivity in a light-textured soil. Computers and Electronics in Agriculture. (39 citations)

Mousavi, S. R., Sarmadian, F., Angelini, M. E., Bogaert, P., & Omid, M. (2023). Cause-effect relationships using structural equation modeling for soil properties in arid and semi-arid regions. Catena. (32 citations)

Parsaie, F., Farrokhian Firouzi, A., Mousavi, S. R., Rahmani, A., & Sedri, M. H. (2021). Large-scale digital mapping of topsoil total nitrogen using machine learning models and associated uncertainty map. Environmental Monitoring and Assessment. (39 citations)

Mousavi, S. R., Sarmadian, F., Dehghani, S., Sadikhani, M. R., & Taati, A. (2017). Evaluating inverse distance weighting and kriging methods in estimation of some physical and chemical properties of soil in Qazvin Plain. Eurasian Journal of Soil Science. (29 citations)

Mahmood Rostaminia, Z. M., Rahmani, A., Mousavi, S. R., & Taghizadeh, R. (2021). Spatial prediction of soil organic carbon stocks in an arid rangeland using machine learning algorithms. Environmental Monitoring and Assessment. (28 citations)

Trevan Flynn | Digital soil mapping | Best Researcher Award

Published on by Academic Achievements

Dr. Trevan Flynn | Digital soil mapping | Best Researcher Award

Researcher | University of Sydney | Australia

Short Bio 🌍

Trevan Flynn is a seasoned researcher and lecturer specializing in geostatistics and soil science. Based in Aspen, Colorado, Trevan collaborates with academics globally—from the USA to Pakistan—producing reliable soil and environmental data for land-use management. Utilizing advanced digital soil mapping techniques and Google Earth Engine in R, he supervises graduate students and contributes to a free database of soil information.

Profile

ORCID

Education 🎓

Trevan’s academic journey began at Stellenbosch University, where he earned his BSc in Soil Science and Horticulture with Summa Cum Laude honors in 2015. He pursued an MSc in Soil Science at the same institution, which was upgraded to a PhD in 2017. His dissertation focused on “Digital Soil Mapping Techniques Across Multiple Landscape Scales in South Africa.” Following his PhD, Trevan completed multiple postdoctoral fellowships, including Ecosystem Modeling at the Biological Centre CAS and Dynamic Soil Carbon Modeling at the Swedish University of Agriculture Sciences. He is currently a researcher at the University of the Free State, studying mineral and water resources in South Africa under Dr. Martin Clark.

Experience 💼

Trevan Flynn’s professional experience is extensive and varied. He is the Director of Rafikisol Soil Mapping for Africa, making soil spatial information accessible to African nations. As a Geospatial Analyst at Phyla Regeneration Systems, he develops spatial models for natural resources and consults on soil organic carbon improvements. Trevan also lectures at the Zambia Institute of Agriculture, teaching soil and crop sciences, sustainable agriculture, and smallholder farming. Additionally, he provides consultancy services through Phyla Ntaka Soil Health Advisory Services, specializing in hyper-local spatial models using Mid-Infrared spectroscopy. His earlier roles include being a Junior Lecturer at Stellenbosch University and a Geospatial Analyst at SASSCAL.

Research Interests 🔬

Trevan’s research interests are centered on digital soil mapping, geostatistics, and the use of advanced modeling techniques in environmental and soil science. He is passionate about developing reliable soil information for land-use management and improving hydrological models in arid regions. His work often involves coding in R and utilizing Google Earth Engine for large-scale environmental data analysis.

Awards 🏆

Trevan Flynn has been recognized with several prestigious awards throughout his career. In 2022, he received the Best Paper Award from the South African Journal of Plant and Soil for his manuscript on high-resolution digital soil mapping. He was also awarded the National Research Foundation Innovation Bursary from 2017 to 2020, the Stellenbosch Merit Bursary from 2013 to 2019, and the Stellenbosch Travel Grant in 2017. In 2015, he received the Perold Medal, the Soil Science Society Silver Medal, and the Hortgro Science Prize for his academic excellence.

Publications 📚