Seyed Ehsan Khankeshizadeh – support disaster assessment – Best Researcher Award

Seyed Ehsan Khankeshizadeh - support disaster assessment - Best Researcher Award

Department of Photogrammetry and Remote Sensing - Iran

AUTHOR PROFILE

SCOPUS
ORCID

💻 EXPERTISE IN PYTHON PROGRAMMING AND DEEP LEARNING

Seyed Ehsan Khankeshizadeh is a skilled Python programmer with a profound interest in Deep Learning techniques. He specializes in semantic segmentation using advanced UNet-based structures such as UNet, ResUNet, RecurrentResidualUNet, UNet++, and Attention-U-Net. His work primarily focuses on building detection, damage assessment, and forest change detection through the processing of satellite sensor imagery.

🛰️ SATELLITE IMAGE PROCESSING AND ANALYSIS

Ehsan has extensive experience in satellite image processing, particularly in ENVI. He excels in image pre-processing techniques including radiometric and geometric calibration, image registration, Pan Sharpening, Masking, and Mosaicking. His expertise extends to image classification using both supervised and unsupervised methods, with a strong focus on post-classification processes.

🌍 CHANGE DETECTION AND REMOTE SENSING

A significant aspect of Ehsan’s research involves change detection in remote sensing data. He applies Synthetic Aperture Radar (SAR) image processing and utilizes various remote sensing spectral indices within platforms like ENVI and Google Earth Engine to analyze environmental changes and their impact.

🧠 PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

Ehsan integrates Machine Learning and Artificial Intelligence techniques into his work, leveraging the capabilities of ENVI, SNAP, and Python. His focus on pattern recognition enables him to develop sophisticated models for analyzing complex satellite data, contributing to advancements in geospatial intelligence.

🌳 3D POINT CLOUD PROCESSING AND FOREST CHANGE DETECTION

Ehsan’s expertise also includes 3D point cloud processing, using tools like LAStools and Cloud Compare to analyze spatial data. His work on forest change detection using recurrent residual-based U-Net models demonstrates his commitment to preserving natural resources and understanding environmental dynamics.

📚 PUBLISHED RESEARCH IN SATELLITE IMAGERY ANALYSIS

Ehsan is an accomplished researcher with several publications to his name. His work on FCD-R2U-net for forest change detection and the development of the Weighted Ensemble Transferred U-Net Model (WETUM) for post-earthquake building damage assessment showcases his contribution to the field of remote sensing and geospatial analysis.

🏆 INNOVATOR IN BUILDING DETECTION AND DAMAGE ASSESSMENT

Ehsan's innovative approach to building detection using Dual Attention Residual-based U-Net (DAttResU-Net) highlights his ability to push the boundaries of satellite imagery analysis. His models are instrumental in generating building change maps, aiding in disaster response and urban planning efforts.

NOTABLE PUBLICATION

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
Authors: E. Khankeshizadeh, A. Mohammadzadeh, H. Arefi, H. Li, J. Li
Journal: IEEE Transactions on Geoscience and Remote Sensing
Year: 2024

FCD-R2U-net: Forest change detection in bi-temporal satellite images using the recurrent residual-based U-net
Authors: E. Khankeshizadeh, A. Mohammadzadeh, A. Moghimi, A. Mohsenifar
Journal: Earth Science Informatics
Year: 2022

CHEONG, TAE SUNG – Disaster Risk Management – Best Researcher Award

CHEONG, TAE SUNG - Disaster Risk Management - Best Researcher Award

National Disaster Management Institute - South Korea

AUTHOR PROFILE

SCOPUS

CHAIRMAN OF THE KOREA IPCC PROFESSIONAL COMMITTEE:

CHEONG, TAE SUNG serves as the Chairman of the Korea IPCC Professional Committee (K-IPCC), playing a pivotal role in shaping climate change policies and strategies in Korea. His leadership and expertise are crucial in guiding the committee’s work and ensuring impactful contributions to the global climate change discourse.

COORDINATING LEAD AUTHOR AND RESEARCH CONTRIBUTOR:

As the Coordinating Lead Author of Chapter 10 (Asia) in the IPCC WGII AR6 and Lead Author of Chapter 9 in the IPCC SREX Report, CHEONG contributes significantly to the understanding of climate change impacts and adaptation strategies. His work informs global climate policies and enhances scientific knowledge on climate resilience and sustainability.

MEMBER OF NATIONAL AND INTERNATIONAL COMMITTEES:

CHEONG is an influential member of several prestigious committees, including the Presidential Commission on Carbon Neutrality and Green Growth, the Crisis Management Manual Committee, and the Pre-disaster Impact Review Committee. His involvement ensures that climate and disaster management policies are robust, scientifically sound, and effective in mitigating risks.

AWARD-WINNING RESEARCHER AND CONTRIBUTOR:

CHEONG has received numerous awards for his outstanding contributions to disaster risk management, climate change research, and public administration. Notable recognitions include the Outstanding Researcher Award of the National Disaster Management Institute, the Ministry of Environment Award for IPCC work, and the Korean Society of Civil Engineers Award for Outstanding Research Paper.

EDITOR AND DIRECTOR IN PROFESSIONAL JOURNALS:

CHEONG serves as Editor in Chief of the Journal of Disaster Science and Management and holds editorial positions in renowned journals such as Water Resources Research, the Journal of Hydraulics, and the Journal of Hydroinformatics. His editorial roles ensure the dissemination of high-quality research and advancements in disaster science and water resource management.

DIRECTOR AND SENIOR RESEARCH OFFICER:

As the Director on the Climate Change Adaptation and Disaster Risk Reduction Division of the Korean Society of Hazard Mitigation, and Senior Research Officer on the Disaster Risk Reduction Division at NEMA, Ulsan, Korea, CHEONG leads critical initiatives to enhance disaster preparedness and resilience. His strategic direction strengthens national disaster management capabilities.

DISTINGUISHED AUTHOR AND PEER-REVIEWED RESEARCHER:

CHEONG has authored numerous influential publications in peer-reviewed journals, contributing significantly to the fields of flood risk management, climate change adaptation, and disaster resilience. His research outputs, including developments in early warning systems and comprehensive heat wave measures, provide valuable insights and practical solutions for managing environmental challenges.

NOTABLE PUBLICATION

Development of Flood Early Warning Frameworks for Small Streams in Korea
Authors: Cheong, T.-S., Choi, C., Ye, S.-J., Kim, S., Koo, K.-M.
Year: 2023
Journal: Water (Switzerland)

The development of design-width prediction equation by using 12 local governments data collected from small stream of Korea
Authors: Choi, C., Cheong, T.S.
Year: 2023
Journal: Journal of Korea Water Resources Association

Development of priority setting process for the small stream restoration projects using multi criteria decision analysis
Authors: Seo, J.P., Cho, W., Cheong, T.S.
Year: 2015
Journal: Journal of Hydroinformatics

Development of GIS-based disaster assessment system to reduce flood risks in urbanized creeks
Authors: Cheong, T.S., Felix, M.L.A., Jeong, S.M.
Year: 2014
Journal: Desalination and Water Treatment

Case studies
Authors: Murray, V., Mc Bean, G., Bhatt, M., Warner, K., Zodrow, I.
Year: 2012
Book: Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation: Special Report of the Intergovernmental Panel on Climate Change