ABDULLAH INCEKARA | Geomatics Engineering | Best Researcher Award

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Assist. Prof. Dr. ABDULLAH INCEKARA | Geomatics Engineering | Best Researcher Award

Assistant Professor, TOKAT GAZIOSMANPASA UNIVERSITY

Abdullah Harun Incekara is an Assistant Professor at Tokat Gaziosmanpasa University in the Department of Geomatics Engineering. He holds a Ph.D. in Geomatics Engineering from Istanbul Technical University, where his research focused on improving the quality of historical aerial photographs. His expertise spans lidar-based mapping, remote sensing, photogrammetry, and UAV technology. Abdullah has published extensively in international journals and conferences, contributing to advancements in geospatial technologies. His work bridges the gap between theoretical research and practical applications in geomatics, particularly in the areas of shoreline extraction and the enhancement of spatial quality using super-resolution techniques.

Profile

Scholar

Orcid

🎓 Education

Ph.D. in Geomatics Engineering, Istanbul Technical University (2018-2024), GPA: 3.79/4.00 M.Sc. in Geomatics Engineering, Istanbul Technical University (2016-2018), GPA: 3.75/4.00 B.Sc. in Geomatics Engineering, Istanbul Technical University (2011-2016), GPA: 3.26/4.00 Abdullah completed his Ph.D. and M.Sc. studies at Istanbul Technical University, focusing on innovative applications in geomatics, with particular interest in the enhancement of aerial photographs and shoreline mapping through advanced computational techniques. His solid academic background underpins his research contributions to geospatial data analysis and engineering.

💼 Experience

Assistant Professor, Department of Geomatics Engineering, Tokat Gaziosmanpasa University (2024–present) Research Assistant, Department of Geomatics Engineering, Tokat Gaziosmanpasa University (2017–2024) Abdullah Harun Incekara has an extensive academic career, progressing from a Research Assistant to Assistant Professor at Tokat Gaziosmanpasa University. His professional focus has been on geomatics, incorporating geospatial technologies like UAVs and lidar in applied and research projects. His contributions to the department include mentoring students and advancing the study of spatial data quality, including enhancing historical imaging techniques.

🏆 Awards & Honors

Best Paper Award, International Conference on Remote Sensing (2017) Outstanding Research Award, Tokat Gaziosmanpasa University (2021) Early Career Excellence Award, Istanbul Technical University (2019) Abdullah has received multiple recognitions for his academic excellence and research contributions. Notably, his innovative work in geomatics has earned him several accolades, including awards for outstanding research and best paper presentations in international conferences, reinforcing his status in the field.

🔬 Research Focus

Abdullah’s research primarily focuses on geomatics engineering, emphasizing remote sensing, UAV-based photogrammetry, and historical aerial photograph enhancement. His Ph.D. work on super-resolution techniques for spatial data quality has led to significant findings that improve the usability of historical imagery. His publications also explore the environmental impact assessments using satellite imagery and the application of geomatics in urban planning and agriculture. His ongoing research aims to bridge gaps in geospatial technology applications, making them more efficient and accurate for real-world solutions.

Conclusion 

Abdullah Harun Incekara is a highly deserving candidate for the Best Researcher Award due to his exceptional academic background, strong research contributions, and innovative approach to Geomatics Engineering. His work in remote sensing and environmental monitoring exemplifies cutting-edge scientific exploration. With continued global collaborations and diversification in research topics, Incekara has the potential to further establish himself as a leader in the geospatial sciences field.

Publication

Title: Investigating the utility potential of low-cost unmanned aerial vehicles in the temporal monitoring of a landfill
Authors: AH Incekara, A Delen, DZ Seker, C Goksel
Year: 2019
Citations: 37

 

Title: Qualifying the LIDAR-derived intensity image as an infrared band in NDWI-based shoreline extraction
Authors: AH Incekara, DZ Seker, B Bayram
Year: 2018
Citations: 21

 

Title: Interpreting Temperature Based Discontinuity and Roughness of Rock Surfaces by Using Photogrammetric Technique
Authors: AH İncekara, DZ Şeker, CS Tezcan, E Bozkurtoglu, C Gazioğlu
Year: 2017
Citations: 12

 

Title: Comparative analyses of the point cloud produced by using close-range photogrammetry and terrestrial laser scanning for rock surface
Authors: AH Incekara, DZ Seker
Year: 2018
Citations: 11

 

Title: Rolling shutter effect on the accuracy of photogrammetric product produced by low-cost UAV
Authors: AH İncekara, DZ Seker
Year: 2021
Citations: 9

 

Title: Investigating the suitability of mirrorless cameras in terrestrial photogrammetric applications
Authors: AH Incekara, DZ Seker, A Delen, A Acar
Year: 2017
Citations: 7

 

Title: Using unmanned aerial vehicles for open mining areas: Current applications and future potentials
Authors: AH Incekara, O Yildirim, T Susam, DZ Seker
Year: 2016
Citations: 4

 

Title: Minimizing the Limitations in Improving Historical Aerial Photographs with Super-Resolution Technique
Authors: AH Incekara, U Alganci, O Arslan, DZ Seker
Year: 2024
Citations: 1

 

Title: The potential contribution of remotely sensed images for GreenMetric ranking
Authors: AH İncekara, EY Basaran, DZ Seker
Year: 2022
Citations: 1

 

Title: USING SATELLITE IMAGERIES AND ORTHOPHOTO TO QUANTIFY ENVIRONMENTAL IMPACT OF MINING ACTIVITIES IN FOREST AREA
Authors: AH Incekara, A Delen, DZ Seker, FB Sanli, T Susam
Year: 2019
Citations: 1

 

Title: Combination of UAV Based Digital Surface Model with 3D Model Of ITU Bicycle House Produced by Close-Range Photogrammetry
Authors: Y Albeni, B Sariturk, ME Atik, O Ozturk, Z Duran, DZ Seker, B Bayram, …
Year: 2018
Citations: 1

Michael | Geological Remote Sensing | Best Researcher Award

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Mr. Michael | Geological Remote Sensing | Best Researcher Award

University of Electronic Science and Technology of China,  China

Michael Appiah-Twum, a geoscientist, combines Artificial Intelligence and Machine Learning with advanced remote sensing to revolutionize natural resources and environmental management. He specializes in geospatial data analysis for geological surveys, mineral exploration, petroleum exploration, and environmental monitoring. With a solid foundation in geology, geophysics, and geochemistry, Michael integrates cutting-edge AI technologies for sustainable development. Currently pursuing a Ph.D. in Information and Communication Engineering at the University of Electronic Science and Technology of China, he excels in developing innovative AI-driven solutions for geological interpretation and resource management.

Profile

Orcid

Scholar

🎓 Education

Ph.D. in Information and Communication Engineering: University of Electronic Science and Technology of China (2020-Present); GPA: 3.52/4.0. Thesis: Deep Learning-based Multisource Geological Interpretation. M.Sc. in Information and Communication Engineering: University of Electronic Science and Technology of China (2020); GPA: 3.51/4.0. Thesis: Remote Sensing and Geological Survey of Gold Deposits. B.Sc. in Earth Science: University for Development Studies, Ghana (2014). Thesis: Atlas of Laterite and Exploration Implications.

🧑‍🏫 Experience

Researcher: Yangtze Delta Region Institute, UESTC (2022–Present) – Conducting AI/ML research for geological data analysis and mineral exploration. Course Instructor: UESTC (2023) – Designed curricula and taught Remote Sensing in Resources and Environment. Teaching Assistant: UESTC (2022–2023) – Conducted tutorials, guided projects, and mentored students in Remote Sensing. VIP Member: UESTC Green Club (2018–2020) – Advocated sustainable agriculture and environmental awareness. Electoral Official: Electoral Commission of Ghana (2015) – Managed polling operations during elections.

🏆 Awards and Honors

Top Ranked Ph.D. Student: University of Electronic Science and Technology of China (2020-Present). Graduate Student Member: IEEE Geoscience and Remote Sensing Society. Top Ranked M.Sc. Student: UESTC, Chengdu (2020). Research Excellence: Developed advanced geological interpretation models using AI/ML. Leadership Recognition: UESTC Green Club VIP for promoting sustainability and environmental stewardship.

🔬 Research Focus

Geological Surveys: Using remote sensing for mineral and petroleum exploration. AI/ML Applications: Implementing deep learning for geological and environmental data interpretation. Geospatial Analysis: Advanced modeling for resource exploration and sustainable development. Hydrology and Regolith: Focused on soil mechanics and hydrogeology for environmental management. Remote Sensing Integration: Leveraging UAVs and satellite imagery for accurate geoscientific data visualization.

Conclusion 

Michael Appiah-Twum is undoubtedly a strong contender for the Best Researcher Award, given his exceptional research in remote sensing, AI/ML applications, and resource management. His technical proficiency, leadership in academic settings, and dedication to sustainability make him a highly deserving candidate. With minor improvements in interdisciplinary collaboration and global outreach, his impact on the geoscience field could expand even further, contributing to more innovative and sustainable solutions in the industry.

📚Publications 

  1. Spatial distribution and trace element geochemistry of laterites in Kunche area: Implication for gold exploration targets in NW, Ghana
    Authors: E.D. Sunkari, M. Appiah-Twum, A. Lermi
    Journal: Journal of African Earth Sciences, 158, 103519 (2019)
    Citations: 34

 

  1. Data Centric Blockchain-Based Evaluation Approach to Analyze E-Commerce Reviews Using Machine and Deep Learning Techniques
    Authors: E.M. Acheampong, S. Zhou, Y. Liao, P. Atandoh, D. Addo, E. Antwi-Boasiako, et al.
    Conference: 2023 20th International Computer Conference on Wavelet Active Media
    Citations: 1

 

  1. Enhanced Word Embedding with CNN Using Word Order Information for Sentiment Analysis
    Authors: P. Atandoh, Z. Fengli, P.A. Hakeem, E.M. Acheampong, D. Addo, et al.
    Conference: 2023 20th International Computer Conference on Wavelet Active Media
    Citations: 1

 

  1. Assessing Landsat-9 in Identifying Lithology Using a Hybrid Metric-Learning and SVM Method Against Baseline Algorithms: A Case Study of the West African Craton
    Authors: M. Appiah-Twum, H. Jia, W. Xu
    Conference: IGARSS 2023 – IEEE International Geoscience and Remote Sensing Symposium
    Citations: 1

 

  1. Using Laterite Geochemistry for Exploration of Orogenic Gold Deposits in the Wa-Lawra Belt, NW Ghana: Kunche in Perspective
    Authors: E.D. Sunkari, M. Appiah-Twum, A. Lermi
    Journal: Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, 7(3), 1137 (2018)
    Citations: 1

 

  1. DenseViT: A Hybrid CNN-Vision Transformer Model for an Improved Multisensor Lithological Classification
    Authors: M. Appiah-Twum, W. Xu, E.M. Acheampong
    Conference: IGARSS 2024 – IEEE International Geoscience and Remote Sensing Symposium (2024)

 

  1. An Attention-Based LSTM Lithological Classification Using Multisensor Datasets
    Authors: M. Appiah-Twum, W. Xu
    Conference: IGARSS 2024 – IEEE International Geoscience and Remote Sensing Symposium (2024)

 

  1. Lithological Classification Using Densely Connected Convolution Network on Landsat-9 and Aster Datasets in a Semi-Arid Environment
    Authors: M. Appiah-Twum, X. Wenbo, C.B. Mawuli, P. Atandoh
    Conference: 2023 20th International Computer Conference on Wavelet Active Media (2023