Mohammad Marjani | Environmental Science | Best Researcher Award

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Mohammad Marjani | Environmental Science | Best Researcher Award

Memorial University of Newfoundland | Canada

Dr. Mohammad Marjani is a dedicated researcher and academic specializing in remote sensing, geospatial intelligence, and artificial intelligence applications for environmental monitoring. He is currently pursuing a Ph.D. in Electrical and Computer Engineering at Memorial University of Newfoundland, where his research focuses on developing advanced remote sensing and deep learning algorithms for environmental and climate-related analysis under the supervision of Dr. Masoud Mahdianpari. He earned his Master of Science in Geospatial Information Systems from K.N. Toosi University of Technology, where he conducted innovative research on wildfire spread modeling using deep learning techniques. His undergraduate degree in Geodesy and Geomatic Engineering from the same university explored 3D change detection methods in point clouds. His academic journey reflects a strong interdisciplinary foundation in remote sensing, GIS, machine learning, and computer vision, particularly applied to natural disaster management and environmental systems. Dr. Marjani has contributed as a peer reviewer for high-impact journals such as IEEE Geoscience and Remote Sensing Letters, Theoretical and Applied Climatology, and Remote Sensing. Professionally, he serves as a Research Scientist at C-CORE, where he develops AI-driven environmental modeling algorithms using satellite data. Alongside his research, he has demonstrated academic leadership through multiple teaching assistantships, delivering courses in C++, MATLAB, and Python programming across topics such as computational intelligence and image processing. He is also a co-founder of GeoHoosh, an educational group dedicated to promoting artificial intelligence applications in geomatics and geospatial engineering. Dr. Marjani’s research interests encompass wildfire modeling, satellite image analysis, WebGIS, and GeoAI, reflecting his commitment to advancing the integration of artificial intelligence with geospatial sciences for sustainable environmental solutions.

Profile: Scoups | Orcid | Google Scholar

Featured Publications

  • Marjani, M., Ahmadi, S. A., & Mahdianpari, M. (2023). FirePred: A hybrid multi-temporal convolutional neural network model for wildfire spread prediction. Ecological Informatics, 78, 102282.

  • Marjani, M., Mahdianpari, M., & Mohammadimanesh, F. (2024). CNN-BiLSTM: A Novel Deep Learning Model for Near­-Real-Time Daily Wildfire Spread Prediction. Remote Sensing, 16(8), 1467.

  • Marjani, M., & Mesgari, M. S. (2023). The large-scale wildfire spread prediction using a multi-kernel convolutional neural network. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 10(4/W1-2022), pp. 483-488.

  • Marjani, M., Mohammadimanesh, F., Varon, D. J., Radman, A., & Mahdianpari, M. (2024). PRISMethaNet: A novel deep learning model for landfill methane detection using PRISMA satellite data. ISPRS Journal of Photogrammetry and Remote Sensing, 218, 802-818.

  • Bahrami, H., McNairn, H., Mahdianpari, M., & Homayouni, S. (2022). A meta-analysis of remote sensing technologies and methodologies for crop characterization. Remote Sensing, 14(22), 5633.

Sudabeh Gharemahmudli | Environmental Science | Best Researcher Award

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Sudabeh Gharemahmudli | Environmental Science | Best Researcher Award

Department of Watershed Management Engineering, Faculty of Natural Resources, Tarbiat Modares University (TMU) | Iran

Dr. Sudabeh Gharemahmudli is an accomplished environmental scientist specializing in soil and water conservation, salinity management, and microbial biotechnology for erosion control. She is currently completing her Postdoctoral Fellowship at Tarbiat Modares University (2025), having earned her Ph.D. in Soil Science from Gorgan University of Agricultural Sciences and Natural Resources, where she conducted pioneering research titled “Controllability of Soil and Water Loss in Saline Soils Using Microorganisms.” Her doctoral work, supervised by Professor Seyed Hamidreza Sadeghi, explored the innovative use of soil cyanobacteria to biologically stabilize saline and alkaline soils, demonstrating a sustainable approach to reducing erosion and surface runoff under simulated rainfall conditions. Dr. Gharemahmudli also holds an M.Sc. from Tarbiat Modares University a B.Sc., and an A.Sc. from Gonbad Kavous University of Agricultural Sciences and Natural Resources. Her scientific contributions lie at the intersection of biological soil management, environmental restoration, and eco-engineering, with a focus on developing long-term, cost-effective, and eco-friendly alternatives to conventional soil stabilizers. She continues to advance her research on bio-based strategies for watershed management and environmental sustainability. Dr. Gharemahmudli is known for her dedication to applying microbial technologies in addressing global challenges related to soil degradation, salinization, and water resource conservation.

Profile: Scopus 

Featured Publications

  • Rouhani, H., Gharemahmudli, S., Torkashvand, T., & Kashani, M. (2017). Granulometric variation of river suspended sediments due to sand and gravel mining: Case study of Vaz River. Watershed Management Research, 30(1), 2–13.

  • Sadeghi, S. H. R., Gharemahmudli, S., Kheirfam, H., Khaledi Darvishan, A., Kiani Harchegani, M., Saeidi, P., Gholami, L., & Vafakhah, M. (2018). Short-term temporal variations in runoff and sediment concentration in different land uses under two rainfall intensities. International Soil and Water Conservation Research, 6(2), 184–193.

  • Gharemahmudli, S., Najafinejad, A., Sadeghi, S. H. R., Zarei Darkid, B., Mohammadian Behbahanie, A., & Kheirfam, H. (2020). Effects of type, level and time of sand and gravel mining on particle size distributions of suspended sediment. Journal of Water and Soil Conservation, 27(3), 163–180.

  • Sadeghi, S. H. R., Najafinejad, A., Gharemahmudli, S., Zarei Darkid, B., Mohammadian Behbahanie, A., & Kheirfam, H. (2021). Reducing surface runoff from soils subjected to a freezing–thawing cycle using soil cyanobacteria. Applied Soil Ecology, 157, 103770.

  • Gharemahmudli, S., Sadeghi, S. H. R., Sadeghi, V. S., Najafinejad, A., & Jafarpoor, A. (2022). Reduction in soil loss caused by a freeze–thaw cycle through inoculation of endemic soil microorganisms. Catena, 213, 106150.

  • Sadeghi, S. H. R., & Gharemahmudli, S. (2022). Morphometrical analysis of cracks and crevices on a cyanobacterized soil surface subjected to a freeze–thaw cycle using image processing. Journal of Water and Soil Conservation, 29(1), 1–30.

Estefanía Aroca | Sustainability Science | Interdisciplinary Citation Impact Award

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Dr. Estefanía Aroca | Sustainability Science | Interdisciplinary Citation Impact Award

PhD at University of Castilla-La Mancha, Spain

Dr. Estefanía Aroca is a highly accomplished researcher in the field of Environmental Sciences, with a strong focus on natural hazards and environmental assessment. She holds a Bachelor’s Degree in Environmental Sciences, a Master’s Degree in Physics, Instrumentation, and Environment (Specialty in Natural Hazards and Environmental Assessment), and a Ph.D. in Agricultural and Environmental Sciences, where her thesis received the highest grade (cum laude unanimously). Dr. Aroca has extensive teaching experience, having taught courses in Geology and Surface and Groundwater Hydrology at the University of Castilla-La Mancha. She has also participated in various research projects, including the “DRAINAGE project,” which aimed to increase resilience to floods while improving water body status and sustainable resource management. In addition to her academic and research achievements, Dr. Aroca has undertaken a post-doctoral research stay at the Hazards Vulnerability & Resilience Institute, University of South Carolina, funded by the University of Castilla-La Mancha. She has received prestigious grants and scholarships, including an FPI Predoctoral Contract – Postdoctoral Orientation Period (POP) and an FPI Predoctoral Contract, from the Spanish Ministry of Science and Innovation, Universities. Dr. Aroca’s dedication to research excellence and her commitment to addressing environmental challenges through innovative methodologies make her a valuable asset to the scientific community.

Professional Profiles:

📚 Education:

Dr. Estefanía Aroca completed her university education with a Bachelor’s Degree in Environmental Sciences from the University of Málaga, awarded on 15/09/2013, with a good average mark. She furthered her studies with a Master’s Degree in Physics, Instrumentation, and Environment (Specialty in Natural Hazards and Environmental Assessment) from the University of Cantabria, Faculty of Sciences, awarded on 08/10/2014, achieving a qualification of 8.60. Dr. Aroca culminated her academic journey with a Ph.D. in Agricultural and Environmental Sciences from the University of Castilla-La Mancha, with her thesis titled “Methodological proposal for the holistic characterization of vulnerability in areas prone to flash flooding: design and application,” under the guidance of José María Bodoque del Pozo. She obtained her doctoral degree on 04/07/2022, with the highest grade (cum laude unanimously).

🗣️Teaching experience:

Dr. Estefanía Aroca has extensive teaching experience in the field of Environmental Sciences. She has taught courses in Geology and Surface and Groundwater Hydrology at the University of Castilla-La Mancha. For example, she taught Geology to first-year Bachelor’s Degree students in Environmental Sciences, covering core concepts, for 45 hours from 25/01/2023 to 31/03/2023. Additionally, she taught Surface and Groundwater Hydrology, an obligatory course for third-year Bachelor’s Degree students in Environmental Sciences, for 15 hours from 22/11/2022 to 10/12/2022. Her teaching contributions also include previous instances of teaching similar courses in 2022 and 2021. These teaching experiences demonstrate her commitment to educating students in the field of Environmental Sciences and her expertise in Geology and Hydrology.

Technological experience:

Dr. Estefanía Aroca has been involved in a significant research and development project titled “Design of a Methodology to Increase Resilience to Floods Compatible with the Improvement of the Status of Water Bodies and the Sustainable Management of Resources (DRAINAGE project).” This project, which took place at the University of Castilla-La Mancha from 01/01/2017 to 31/12/2021, focused on enhancing flood resilience while promoting sustainable water management practices. Dr. Aroca contributed as a researcher alongside 33 other researchers, under the direction of Principal Investigator José María Bodoque del Pozo. The project received funding from the Spanish Research Agency, a state agency, totaling 71,390 €. This experience highlights Dr. Aroca’s expertise in research and her commitment to addressing environmental challenges through innovative methodologies.

achievements:

Dr. Estefanía Aroca has undertaken a post-doctoral research stay at the Hazards Vulnerability & Resilience Institute, University of South Carolina, Columbia, United States of America, from 01/04/2023 to 30/06/2023, funded by the University of Castilla-La Mancha. During this three-month period, she conducted postdoctoral research, contributing to the institute’s work on hazards, vulnerability, and resilience. Additionally, Dr. Aroca has received prestigious grants and scholarships to support her academic and research endeavors. She was awarded an FPI Predoctoral Contract – Postdoctoral Orientation Period (POP) by the Spanish Ministry of Science and Innovation, Universities, on 01/08/2022, for a duration of one year, ending on 31/07/2023. This grant allowed her to pursue postdoctoral research at the University of Castilla-La Mancha, Faculty of Environmental Sciences and Biochemistry. Prior to this, she received an FPI Predoctoral Contract from the Spanish Ministry of Science and Innovation, Universities, on 01/08/2019, for a duration of three years, ending on 31/07/2022, to support her pre-doctoral research at the same institution. Moreover, Dr. Aroca has been recognized as an Assistant Professor by Spain’s National Agency for Quality Assessment and Accreditation (ANECA) on 28/10/2022, highlighting her academic achievements and expertise in her field. These achievements demonstrate her commitment to research excellence and academic advancement.

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📚Publications :

Construction of an integrated social vulnerability index in urban areas prone to flash flooding

Authors: E Aroca-Jimenez, JM Bodoque, JA Garcia, A Diez-Herrero

Citations: 84

Year: 2017

A quantitative methodology for the assessment of the regional economic vulnerability to flash floods

Authors: E Aroca-Jiménez, JM Bodoque, JA García, A Díez-Herrero

Citations: 54

Year: 2018

How to construct and validate an Integrated Socio-Economic Vulnerability Index: Implementation at regional scale in urban areas prone to flash flooding

Authors: E Aroca-Jiménez, JM Bodoque, JA García

Citations: 44

Year: 2020

Flood damage analysis: First floor elevation uncertainty resulting from LiDAR-derived digital surface models

Authors: JM Bodoque, C Guardiola-Albert, E Aroca-Jiménez, MÁ Eguibar

Citations: 37

Year: 2016

Holistic characterization of flash flood vulnerability: Construction and validation of an integrated multidimensional vulnerability index

Authors: E Aroca-Jiménez, JM Bodoque, JA García, JE Figueroa-García

Citations: 16

Year: 2022

Analysing flash flood risk perception through a geostatistical approach in the village of Navaluenga, Central Spain

Authors: C Guardiola‐Albert, A Díez‐Herrero, M Amerigo Cuervo‐Arango

Citations: 11

Year: 2020

Developing reliable urban flood hazard mapping from LiDAR data

Authors: JM Bodoque, E Aroca-Jiménez, MÁ Eguibar, JA García

Citations: 6

Year: 2023

Analysis of social vulnerability to flash floods in Urban Areas of Castilla y León (Spain)

Authors: E Aroca-Jimenez, JM Bodoque, JA Garcia, A Diez-Herrero

Citations: 6

Year: 2016

An Integrated Multidimensional Resilience Index for urban areas prone to flash floods: Development and validation

Authors: E Aroca-Jiménez, JM Bodoque, JA García

Citations: 2

Year: 2023

The relationship between the variables “main floor of houses with respect to their urban surroundings” and models for the estimation of economic losses owing to floods

Authors: JG Revilla, AD Herrero, E Aroca-Jiménez, JMB del Pozo, NB Folia

Citations: 2

Year: 2018