Mr. Hadi Shokati | Machine Learning and AI Applications | Best Researcher Award

University of Tuebingen | Germany

PUBLICATION PROFILE

Orcid

INTRODUCTION 🌍

Mr. Hadi Shokati is a dedicated PhD candidate from the Department of Geoscience at the University of Tübingen in Germany, currently conducting research on soil erosion in agricultural landscapes. His studies focus on dynamic changes of land use patterns and structures, encapsulated under his thesis title DYLAMUST (Soil erosion in agricultural landscapes in the context of dynamic changes of land use patterns and structures). His educational journey reflects a solid foundation in water sciences and engineering, with significant expertise in artificial intelligence, hydrology, and programming.

EARLY ACADEMIC PURSUITS 📚

Hadi began his academic career with a Bachelor’s degree in Water Science and Engineering from Mohaghegh Ardabili University, Iran, in 2016. His passion for water engineering led him to pursue a Master’s degree in the same field at Tarbiat Modares University in Iran (2017–2019). His early academic endeavors laid a strong groundwork for his advanced studies, focusing on water management, irrigation, and environmental sciences.

PROFESSIONAL ENDEAVORS 🌐

Throughout his academic career, Mr. Shokati has taken up significant roles as a Teaching Assistant (TA) at the University of Tehran. He was involved in courses such as Fluid Mechanics, Designing Surface Irrigation Systems, Designing Drainage and Irrigation Networks, and Surface Irrigation Hydraulics. These experiences allowed him to apply theoretical knowledge in real-world settings, further solidifying his expertise in water management and environmental engineering.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Hadi’s ongoing research centers on understanding soil erosion in agricultural landscapes. His work aims to investigate the dynamic interactions between land use changes, soil degradation, and the associated environmental impact, providing insights for sustainable land management practices. With the use of modern AI tools, programming languages like Python, and software like Arc GIS and ENVI, his research is at the forefront of geoscience and environmental studies.

IMPACT AND INFLUENCE 🌱

Mr. Shokati’s research is poised to make significant contributions to sustainable agricultural practices, offering new methodologies for tackling soil erosion in areas with changing land use patterns. His multidisciplinary approach, blending environmental science with technology and AI, is a key factor in advancing the field and shaping future solutions to ecological problems.

ACADEMIC CITATIONS AND PUBLICATIONS 📑

Hadi Shokati has been actively involved in academic writing, publishing his work on the intersection of hydrology, soil erosion, and land use changes. His research and findings are expected to have a lasting impact on future publications in the fields of geoscience, environmental engineering, and agriculture.

HONORS & AWARDS 🏆

Throughout his academic career, Mr. Shokati has earned numerous accolades. These awards reflect his commitment to excellence in research and teaching. His most notable honor includes receiving a recognition award for his innovative research at the University of Tübingen.

LEGACY AND FUTURE CONTRIBUTIONS 🌟

As Hadi advances in his doctoral studies, his work is expected to inspire future generations of researchers in environmental science, particularly in the areas of soil conservation, water resource management, and sustainable land use planning. His future contributions will likely redefine how we approach ecological preservation in agricultural contexts.

FINAL NOTE 📜

Mr. Hadi Shokati’s academic journey, marked by his rigorous research and teaching experience, promises to have a lasting influence in the realm of water engineering and environmental science. With a strong foundation in both theoretical knowledge and practical applications, he is well-positioned to continue making valuable contributions to the field of geoscience.

 TOP NOTES PUBLICATIONS 📚

Erosion-SAM: Semantic segmentation of soil erosion by water

• • Authors: Hadi Shokati, Andreas Engelhardt, Kay Seufferheld, Ruhollah Taghizadeh-Mehrjardi, Peter Fiener, Hendrik P.A. Lensch, Thomas Scholten

  • Journal: CATENA

  • Year: 2025

Assessing the Role of Environmental Covariates and Pixel Size in Soil Property Prediction: A Comparative Study of Various Areas in Southwest Iran

• • Authors: Pegah Khosravani, Majid Baghernejad, Ruhollah Taghizadeh-Mehrjardi, Seyed Roohollah Mousavi, Ali Akbar Moosavi, Seyed Rashid Fallah Shamsi, Hadi Shokati, Ndiye M. Kebonye, Thomas Scholten

  • Journal: Land

  • Year: 2024

Assessment of Land Suitability Potential Using Ensemble Approaches of Advanced Multi-Criteria Decision Models and Machine Learning for Wheat Cultivation

• • Authors: Kamal Nabiollahi, Ndiye M. Kebonye, Fereshteh Molani, Mohammad Hossein Tahari-Mehrjardi, Ruhollah Taghizadeh-Mehrjardi, Hadi Shokati, Thomas Scholten

  • Journal: Remote Sensing

  • Year: 2024

Random Forest-Based Soil Moisture Estimation Using Sentinel-2, Landsat-8/9, and UAV-Based Hyperspectral Data

• • Authors: Hadi Shokati, Mahmoud Mashal, Aliakbar Noroozi, Ali Abkar, Saham Mirzaei, Zahra Mohammadi-doqozloo, Ruhollah Taghizadeh, Pegah Khosravani, Kamal Nabiollahi, Thomas Scholten

  • Journal: Remote Sensing

  • Year: 2024