Sungkyunkwan University, Suwon Campus,2nd Engineering Complex,26220 - South Korea
Author Profile
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🎓 Early academic pursuits
Michael Bekele maru embarked on his academic journey at addis ababa university in ethiopia, where he earned a b.sc in civil, architectural, and environmental system engineering. his undergraduate thesis focused on the structural design of a multi-story building, laying the foundation for his future endeavors in structural engineering. his quest for advanced knowledge led him to sungkyunkwan university in south korea, where he pursued a combined m.sc and ph.d. in civil, architectural, and environmental system engineering. under the guidance of professor seunghee park, michael's dissertation on enhancing lidar data processing for building facade segmentation and 3d reconstruction showcased his innovative approach to integrating technology with civil engineering.
💼 Professional endeavors
Michael's professional journey began as a site engineer with addis gedle general contractor, where he honed his skills in quality supervision, project monitoring, and construction planning. his role as a project engineer at nasew construction plc further expanded his expertise in project synchronization, scheduling, and quality assurance. transitioning to academia, michael served as a graduate researcher at sungkyunkwan university's smart construction it lab, where he contributed significantly to optical sensor applications in structural health monitoring. currently, as a postdoctoral researcher at the same institution, he continues to explore cutting-edge technologies for structural assessment and digital twin applications.
🔬 Contributions and research focus
Michael's research is characterized by its innovative use of lidar technology, computer vision, and augmented reality in structural health monitoring. his work on algorithmic-based damage Civil Engineering detection, 3d reconstruction techniques, and point cloud analysis has advanced the field significantly. he has developed detailed 3d models for crack detection, utilized lidar for shape change analysis, and integrated ar applications for real-time structural assessments. his ongoing projects include camera-lidar feature-based fusion for bridge monitoring, close-up imaging for crack assessment, and semantic-driven 3d model generation using ar.
🏆 Accolades and recognition
Michael's contributions to structural health monitoring have earned him recognition within the academic and engineering communities. his innovative research has been showcased in Civil Engineering numerous conferences and publications, highlighting his expertise in lidar technology, computer vision, and ar integration. his work has not only enhanced structural assessment methodologies but also set new standards for efficiency and accuracy in the field.
💡 Impact and influence
Michael's research has had a profound impact on the field of structural health monitoring, particularly in the integration of advanced technologies for damage detection and assessment. his Civil Engineering development of 3d reconstruction techniques and point cloud analysis has improved the accuracy and efficiency of structural evaluations, influencing both academic research and practical applications in civil engineering.
🌍 Legacy and future contributions
Michael Bekele maru's legacy is one of innovation, precision, and technological integration in civil engineering. his work continues to inspire future researchers and engineers, setting a benchmark for excellence in structural health monitoring. as he advances in his career, michael aims to further explore the potential of digital twins, augmented reality, and deep learning in structural assessments, contributing to safer and more efficient infrastructure management worldwide.
Notable Publications
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Title: Comparison of depth camera and terrestrial laser scanner in monitoring structural deflections
Author(s): MB Maru, D Lee, KD Tola, S Park
Journal: Sensors, 2020
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Title: Beam deflection monitoring based on a genetic algorithm using LiDAR data
Author(s): MB Maru, D Lee, G Cha, S Park
Journal: Sensors, 2020
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Title: Improved building facade segmentation through digital twin-enabled RandLA-Net with empirical intensity correction model
Author(s): MB Maru, Y Wang, H Kim, H Yoon, S Park
Journal: Journal of Building Engineering, 2023
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Title: Unsupervised domain adaptation-based crack segmentation using transformer network
Author(s): DA Beyene, MB Maru, T Kim, S Park, S Park
Journal: Journal of Building Engineering, 2023
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Title: Improved building MEP systems semantic segmentation in point clouds using a novel multi-class dataset and local-global vector transformer network
Author(s): Shuju Jing, Gichun Cha, Michael Bekele Maru, Byoungjoon Yu, Seunghee Park
Journal: Journal of Building Engineering