バイオグラフィー
Michael Bekele Maru, hailing from Ethiopia, embarked on his academic journey at Bethlehem Primary & Secondary School, where he demonstrated a keen interest in science and mathematics throughout his education, culminating in his completion of the preparatory program at Bishoftu Preparatory School.
Driven by his passion for engineering, Michael pursued a bachelor’s degree in the field, immersing himself not only in his coursework but also in various extracurricular activities aimed at broadening his skill set. Following his graduation, he gained invaluable experience as an Engineer with a leading contractor in Ethiopia, where he excelled in tasks ranging from project synchronization to quality assurance testing.
After two years of enriching professional experience, Michael sought to further his education and broaden his horizons by pursuing graduate studies at Sungkyunkwan University, a prestigious institution renowned for its academic excellence. Under the mentorship of Professor Seunghee Park in the Civil Engineering Department, Michael delved into research focused on digital twin-enabled techniques for structural health monitoring and damage assessment.
In graduate school, Michael's dedication to his research has resulted in significant contributions to the field, with a particular emphasis on synergizing digital twin technologies for 3D building reconstruction and computer vision-based damage detection. His expertise spans a wide array of technical domains, including computer-aided design, finite element modelling, programming, project management, and graphic design.
Michael's hands-on approach to research, coupled with his proficiency in various tools and methodologies, has enabled him to conduct successful experiments and published extensively in reputable academic journals and have presented their work at numerous national and international conferences. His experiences have not only enhanced his technical skills but have also cultivated qualities such as patience, teamwork, time management, meticulousness, and rapid concept absorption.
With his extensive background in engineering and his ongoing commitment to advancing digital twin-enabled structural health monitoring, Michael Bekele Maru is well-equipped to make valuable contributions as a member of an academic journal paper board.
研究の興味
- Algorithmic-based structural health monitoring and automatic damage assessment of the existing infrastructures on civil structures using shape information of an object.
- Elevating damage detection and quantification using advanced point cloud-based techniques and machine learning.
- Advancing Structural Health Monitoring and Damage Assessment through Innovative 3D Reconstruction Techniques and Data-Driven Approaches
- Synergizing Digital Twin-enabled Techniques for Advanced Structural Health Monitoring, 3D Reconstruction, and Damage Assessment
- Revolutionizing Structural Health Assessment, Non-destructive evaluation, and Damage Analysis through Innovative Optical Sensor Technologies
 
                                Editor
仕事内容
Sungkyunkwan University
Department of Civil, Architectural and Environmental System Engineering
South Korea
トピック分野別の貢献
Why publish with us?
- Global Visibility – Indexed in major databases 
- Fast Peer Review – Decision within 14–21 days 
- Open Access – Maximize readership and citation 
- Multidisciplinary Scope – Biology, Medicine and Engineering 
- Editorial Board Excellence – Global experts involved 
- University Library Indexing – Via OCLC 
- Permanent Archiving – CrossRef DOI 
- APC – Affordable APCs with discounts 
- Citation – High Citation Potential 
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研究論文
- The Influence of Low Pesticide Doses on Fusarium Molds
- Challenge and Readiness to Implemented Geothermal Energy in Indonesia
- Ammonia: A Trend of Dry Deposition in Vietnam
- Methodology of the Professional-Business Game for the Development of a Cadet Leader in Professional Training Courses (L-1B) of the Tactical Level of Military Education
- Properties of Indium Antimonide Nanocrystals as Nanoelectronic Elements
- Knowledge Discovery on Artificial Intelligence and Physical Therapy: Document Mining Analysis
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