Woldia, Bahir Dar University, Ethiopia

Getie Gebrie Eshetie is a dedicated academic and researcher specializing in land administration and geodesy. Currently a lecturer at Woldia University in Ethiopia, he has significantly contributed to the field through his roles as the Head of the Department of Land Administration and Surveying, Dean of the School of Land Administration, and Legal Entity Appointed Representative for the Li4LaM project. As an active member of the East Africa Land Administration Network (EALAN), he is committed to advancing land management and governance in Ethiopia and beyond.

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Education

Getie Gebrie Eshetie’s academic journey began at Wotet Abay Primary and Secondary School, where he completed his education from grades 1 to 8. He then attended Merawi Preparatory School for grades 9 to 12. He holds a B.Sc. in Land Administration from Bahir Dar University and an M.Sc. in Geodesy and Geomatics Engineering from Adama Science and Technology University. He is currently pursuing his Ph.D. in Land Policy and Governance.

Experience

With over six years of teaching experience, Getie Gebrie Eshetie has held significant academic leadership roles at Woldia University, including Head of the Department of Land Administration and Surveying and Dean of the School of Land Administration. He serves as Woldia University’s representative for the EALAN project and the Legal Entity Appointed Representative for the Li4LaM project, showcasing his leadership and dedication to improving land administration and governance. 👨‍🏫

Research Interests

Getie Gebrie Eshetie’s research interests are diverse and impactful. They include natural resource management, climate action, combating desertification, land tenure and policy, GIS and remote sensing, environmental impact assessments, and land use planning and development. His work aims to achieve sustainable development and land degradation neutrality, with a strong focus on advancing land administration systems and policies.

Awards

Although specific awards are not listed, Getie Gebrie Eshetie’s professional journey and academic accomplishments speak volumes about his dedication and contributions to the field of land administration and geodesy. His leadership roles and active participation in various projects and conferences underscore his commitment to excellence and innovation.

Publications

Impact of Rainfall Variability on Crop Yields and Its Relationship with Sea Surface Temperature in Northern Ethiopian Highlands

Investigating Climate Variability in Spatio-Temporal Domains Using GIS and Statistical Techniques in Case of Wello, Northeastern Ethiopian Highlands

Han Gao | Radar Remote Sensing | Best Researcher Award

Posted on 25/05/202425/05/2024 by ScienceFather

Dr. Han Gao | Radar Remote Sensing | Best Researcher Award

Dr. Han Gao, China University of Petroleum (East China),China

Dr. Han Gao is an accomplished researcher at the College of Oceanography and Space Informatics, China University of Petroleum (East China). Specializing in radar remote sensing and microwave vision theory, his expertise extends to time series PolSAR data processing and remote sensing monitoring of flood disasters. Proficient in MATLAB, Python, and C++, he has developed innovative methods in crop classification and flood disaster monitoring, with significant applications in various Chinese provinces. Dr. Gao’s work has been published in top-tier journals like IEEE TGRS and RSE, earning substantial citations and recognition. 📡💻🛰️

Publication Profile

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Education

Dr. Han Gao pursued his academic journey at Central South University, where he obtained a Ph.D. in Photogrammetry and Remote Sensing from the College of Geosciences and Info-physics in June 2022. Prior to his doctorate, he completed a Master’s degree in Geomatics Engineering in June 2018, following his Bachelor’s degree in the same field in June 2015. His extensive education has laid a solid foundation for his research in remote sensing and geosciences. 📡💻🛰️

Research Focus 🌍🔬

Dr. Han Gao’s research primarily focuses on advanced remote sensing techniques, particularly in radar remote sensing and microwave vision theory. He has developed innovative methods for crop classification using time-series dual-polarization SAR datasets, integrating data from various sources like GF-3 PolSAR and Sentinel-2A. His work extends to flood disaster monitoring and the development of adaptive filters for PolSAR data. Dr. Gao’s research also includes forest height estimation and phase optimization for DS-InSAR. His significant contributions are published in high-impact journals, highlighting his expertise in agricultural and ecological remote sensing. 🌾📡🌳

Publication Top Notes

Sajjad Hussain | Remote sensing Award | Best Researcher Award

Posted on 18/05/202418/05/2024 by ScienceFather

Mr. Sajjad Hussain | Remote sensing Award | Best Researcher Award

Mr. Sajjad Hussain, COMSATS University Islamabad, Pakistan

🌍 Mr. Sajjad Hussain is a PhD student in Environmental Sciences at COMSATS University Islamabad, Vehari Campus (2023-2026). With a strong academic foundation, he holds an MS in Environmental Science (CGPA 3.43/4), an MEd in Science Education, and an MSc in Mathematics (CGPA 3.53/4). His research focuses on land use and climate change in Southern Punjab. Proficient in GIS software and data analysis, he has published extensively in high-impact journals. His notable works include studies on land cover changes, groundwater quality, and urban growth predictions. 🌿📊

Publication Profile

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Academic Qualification

🌟 Mr. Sajjad Hussain is currently pursuing a PhD in Environmental Sciences (2023-2026) at COMSATS University Islamabad, Vehari Campus. He holds an MS in Environmental Science (CGPA 3.43/4) from the same institution (2017-2019) and an MEd in Science Education (65%) from Alama Iqbal Open University Islamabad (2019-2020). His academic journey also includes an MSc in Mathematics (CGPA 3.53/4) from Government College University Faisalabad (2014-2016), a BSc in Physics and Double Math (70.37%) from Government Postgraduate College Burewala (2012-2014), and an FSc in Pre-Engineering (64.45%) from the same college (2010-2012). He began his educational path with a Matriculation in Science (86.19%) from Government High School Machianwala District Vehari (2008-2010). 🎓📚✨

📚 Research Focus

Mr. Sajjad Hussain’s research primarily focuses on environmental sciences with a particular emphasis on land use and land cover (LULC) changes, climate change, and sustainable agriculture. His studies utilize Geographic Information Systems (GIS) and remote sensing techniques to analyze environmental transformations over time, especially in various regions of Pakistan. His notable works include assessing the impact of LULC on land surface temperature, monitoring vegetation cover dynamics, and evaluating water use efficiency in agriculture. Hussain’s interdisciplinary approach integrates environmental science, geospatial technology, and sustainable agricultural practices. 🌱🛰️📈

📚 Publications

Ali Mohammadzadeh | Remote Sensing Award | Best Researcher Award

Posted on 16/04/202416/04/2024 by ScienceFather

Prof. Ali Mohammadzadeh | Remote Sensing Award | Best Researcher Award

Prof. Ali Mohammadzadeh, K.N.Toosi University of Technology, Iran

Prof. Ali Mohammadzadeh is an accomplished educator and researcher specializing in LiDAR technology 🌐 and remote sensing applications in disaster management 🌍. With a Ph.D. in Civil-Surveying Engineering, he leads the LiDAR Laboratory at K.N. Toosi University of Technology. His expertise includes artificial intelligence 🤖, image processing, and calibration techniques. Serving as Faculty Vice-Dean and Associate Professor, he has extensive experience in academia, previously heading departments and contributing to various research projects. Prof. Mohammadzadeh’s work encompasses diverse fields such as bio-geomatics and evolutionary optimization, making significant contributions to both academia and industry.

Publication Profile

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Education 📚

Prof. Ali Mohammadzadeh holds a Ph.D. in Civil-Surveying Engineering, earned in 2009 from K. N. Toosi University of Technology, Iran. Prior to this, he completed an M.Sc. (2003) and B.S. (2000) in Civil-Remote Sensing Engineering from the same institution.

Professional Experiences 💼

Prof. Mohammadzadeh has held key roles at K.N.Toosi University of Technology, including Faculty Vice-Dean, Associate Professor, and Head of the LiDAR Laboratory and Photogrammetry & Remote Sensing Department.

Awards and Honors 🏆

Ali Mohammadzadeh’s journey is marked by a trail of academic excellence and prestigious awards. From being recognized as an outstanding student at the National Intellect School to securing top ranks in Geomatics & Geodesy and Remote Sensing, his dedication has been unwavering. Throughout his career, he has been honored with multiple Remote Sensing Exemplary Researcher Awards, showcasing his exceptional contributions to the field. Notably, he received scholarships for PhD studies and international training, highlighting his commitment to continuous learning and global collaboration. His achievements culminated in being selected as one of the top researchers at K.N.Toosi University, a testament to his remarkable scholarly pursuits. 🏅

Teaching Experiences 🎓

Prof. Ali Mohammadzadeh brings a wealth of teaching experience spanning over a decade, enriching the academic landscape with his expertise. His courses cover a broad spectrum, from foundational Principles of Remote Sensing to advanced topics like Optimization and Fuzzy Logic in Remote Sensing. With a focus on practical applications, he nurtures students in areas such as Airborne and Terrestrial LiDAR Technologies, equipping them with essential skills for real-world challenges. Prof. Mohammadzadeh’s commitment to mentorship shines through the graduation of numerous M.Sc. and Ph.D. students, supported by a diverse network of co-supervisors. His dedication extends to establishing cutting-edge laboratory facilities, fostering a collaborative environment for research and innovation. 🎓

Research Focus

Prof. Ali Mohammadzadeh’s research focus spans a wide array of topics in remote sensing and geomatics, blending technological innovation with practical applications 🛰️. His work encompasses post-disaster assessment using UAV data, relative radiometric normalization of remote sensing images, and forest change detection utilizing satellite imagery 🌳. He explores cutting-edge methods such as deep learning and machine learning algorithms to enhance data analysis and interpretation. Mohammadzadeh’s contributions extend to diverse domains including disaster management, environmental monitoring, and urban planning, reflecting his commitment to leveraging technology for societal benefit while advancing scientific knowledge 🌍.

Publication Top Notes

A Novel Weighted Ensemble Transferred U-Net Based Model (WETUM) for Postearthquake Building Damage Assessment From UAV Data: A Comparison of Deep Learning- and Machine Learning-Based Approaches