Sebahattin Bektas | Geodesy | Best Researcher Award

Prof. Dr. Sebahattin Bektas | Geodesy | Best Researcher Award

Professor Doctor at Ondokuz Mayis University | Turkey

Prof. Dr. Sebahattin Bektas is a distinguished researcher in the field of Geodesy within the Department of Geomatics Engineering at Ondokuz Mayis University (OMU), Turkey. His academic and scientific contributions have significantly advanced the understanding and application of geodetic sciences. With a strong foundation in geomatics, he has focused his research on key areas such as geodesy, surface fitting, 3D coordinate transformation, optimization, and adjustment techniques. His expertise also extends to the enhancement of engineering education through innovative teaching and research methodologies. Prof. Bektas has played a vital role in bridging theoretical geodetic principles with practical applications, particularly in the development of precise three-dimensional modeling and transformation systems. His work in 3D network adjustment has contributed to improving the accuracy and reliability of spatial data analysis and geospatial modeling, which are crucial for modern engineering and mapping projects. He is known for his analytical approach to problem-solving, incorporating mathematical precision with practical insights to address complex geospatial challenges. In addition to his research excellence, Prof. Bektas is recognized for his dedication to mentoring students and fostering academic growth in the field of geomatics engineering. His scholarly output reflects a commitment to advancing scientific knowledge, developing innovative methodologies, and contributing to the global discourse on geodesy and spatial data analysis. Prof. Dr. Sebahattin Bektas remains a respected figure in his discipline, inspiring both research and educational excellence in geospatial sciences.

Profile:Β Orcid

Featured Publications

Ioannidou, S., Pantazis, G., & Bektaş, S. (2024). Helmert transformation problem: From Euler angles method to quaternion algebra. ISPRS International Journal of Geo-Information, 13(10), 359.

Zeenat Khadim Hussain | Photogrammetry | Best Researcher Award

Ms. Zeenat Khadim Hussain | Photogrammetry | Best Researcher Award

PhD Researcher at Wuhan University, Pakistan

Zeenat Khadim Hussain is a committed PhD researcher at the School of Remote Sensing and Information Engineering, Wuhan University, China. Her research specializes in combining deep learning methodologies with photogrammetry and remote sensing to tackle real-world environmental and urban sustainability challenges. With published work in top-tier journals, she focuses on rooftop extraction, solar energy assessment, and building detection from geospatial data. She also actively contributes to global development projects such as flood resilience planning in Pakistan.

Publication ProfileΒ 

Orcid

Educational Background πŸŽ“

  • PhD in Photogrammetry and Remote Sensing
    Wuhan University, China
    Status: Ongoing
    (Note: Earlier degrees not provided; can be added if available)

Professional Experience πŸ’Ό

  • PhD Researcher, Wuhan University
    Conducting advanced research on urban mapping, solar resource assessment, and geospatial data analysis using artificial intelligence techniques.

  • Consultant/Research Contributor, Pakistan Flood Emergency Reconstruction and Resilience Project
    Applied remote sensing techniques for post-disaster analysis and strategic recovery planning.

Research Interests πŸ”¬

  • Remote Sensing

  • Deep Learning

  • Photogrammetry

  • Urban Mapping

  • Solar Energy Assessment

  • Disaster Risk Management

Contributions & Research Achievements

  • Publications:

    • 6 articles published in SCI and Scopus-indexed journals.

    • Notable work: β€œA Novel Architecture for Building Rooftop Extraction Using Remote Sensing and Deep Learning” in Remote Sensing Applications: Society and Environment.

  • Projects:

    • Sentinel-2 Based Solar Irradiance Estimation

    • Urban Building Footprint Extraction Using Remote Sensing

    • Deep Learning-based Rooftop Solar Assessment

  • Industry/Field Work:

    • Geospatial consultancy on disaster recovery in Pakistan

Conclusion🌟

Zeenat Khadim Hussain is a rising researcher in geospatial science whose work bridges innovation and real-world impact. Her deep learning-enhanced remote sensing research addresses global issues like urban energy efficiency and disaster resilience. Through her academic rigor and applied contributions, she has demonstrated both technical expertise and societal commitment, making her a strong candidate for recognition in research excellence awards.

Publications πŸ“š

  • πŸ›°οΈ Spatiotemporal Optimization for Communication-Navigation-Sensing Collaborated Emergency Monitoring
    International Journal of Digital Earth, πŸ“… 2025-12-31
    πŸ”— DOI: 10.1080/17538947.2025.2475517
    πŸ‘₯ Authors: Xicheng Tan, Bocai Liu, Chaopeng Li, Zeenat Khadim Hussain, Kaiqi Wang, Kai Wang, Mengyan Ye, Danyang Yang, Zhiyuan Mei


  • 🏠 A Novel Architecture for Building Rooftop Extraction Using Remote Sensing and Deep Learning
    Remote Sensing Applications: Society and Environment, πŸ“… 2025-04
    πŸ”— DOI: 10.1016/j.rsase.2025.101551
    πŸ‘₯ Authors: Zeenat Khadim, Jiang Congshi, Muhammad Adrees, Hamza Chaudhary, Rafia Shafqat


  • πŸ“‘ 3D Spatial Evolutionary Particle Swarm Algorithm Based Emergency Communication Spatial Deployment Optimization
    Geo-spatial Information Science, πŸ“… 2025-03-11
    πŸ”— DOI: 10.1080/10095020.2025.2472006
    πŸ‘₯ Authors: Yumin Chen, Xicheng Tan, Jinguang Jiang, Xiaoliang Meng, Zeenat Khadim Hussain, Jianguang Tu, Huaming Wang, You Wan, Zongyao Sha


  • 🌿 Exploring Rangeland Dynamics in Punjab, Pakistan: Integrating LULC, LST, and Remote Sensing for Ecosystem Analysis (2000–2020)
    Rangeland Ecology & Management, πŸ“… 2024-10
    πŸ”— DOI: 10.1016/j.rama.2024.09.008
    πŸ‘₯ Authors: Li Feng, Iram Naz, Abdul Quddoos, Zeeshan Zafar, Menglan Gan, Muhammad Aslam, Zeenat Khadim Hussain, Walid Soufan, Khalid F. Almutairi


  • πŸš— LCEVES: A Locally Constrained Evolutionary Algorithm for Vehicle Evacuation Scheduling Under Urban Waterlogging Risk
    Transactions in GIS, πŸ“… 2024-08
    πŸ”— DOI: 10.1111/tgis.13196
    πŸ‘₯ Authors: Luowen Rao, Xicheng Tan, Yanfei Zhong, Chunhui Chen, Zeenat Khadim Hussain, Ailong Ma, Huamin Wang, Shengpeng Yin, Fangyu Liu, Zhiyuan Mei


  • 🚁 DDPG-Based Spatiotemporal Dynamic Deployment Optimization of Air-Ground Ad Hoc Network for Disaster Emergency Response
    International Journal of Applied Earth Observation and Geoinformation, πŸ“… 2024-04
    πŸ”— DOI: 10.1016/j.jag.2024.103708
    πŸ‘₯ Authors: Yuhui Zeng, Xicheng Tan, Moquan Sha, Zeenat Khadim Hussain, Tongliang Lin, Jianguang Tu, Huamin Wang, Bocai Liu, Chaopeng Li, Fang Huang et al.


  • πŸ—οΈ A Comparative Study of PP-LiteSeg, Dual Attention Network, DeeplabV3p and Asymmetric Neural Network for Rooftop Detection in UAV Images
    πŸ“… 2024-04-10
    πŸ”— DOI: 10.20944/preprints202404.0705.v1
    πŸ‘₯ Authors: Zeenat Khadim Hussain, Jiang Congshir, Yuan Xin Xin, Muhammad Raza e Mustafa


  • βš™οΈ A Fast Rooftop Extraction Deep Learning Method Based on PP-LiteSeg for UAV Imagery
    2023 International Conference on Artificial Intelligence and Automation Control (AIAC), πŸ“… 2023-11-17
    πŸ”— DOI: 10.1109/aiac61660.2023.00005
    πŸ‘₯ Authors: Huiqing Xu, Chengxiong Li, Yusheng Liu, Guangzhe Shao, Zeenat Khadim Hussain