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Ahreum, Lee

  • M.S. Candidate

  • M.S. Thesis: TBD

  • Expected Graduation: Feb. 2027

  • arl12@mju.ac.kr

 

{ ALUMNI }

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Lee, Yong-Ju

  • Ph.D. Thesis: " Analysis of Performance Characteristics and Applicability of Model-Based Registration for On-Site Construction"

  • M.S. Thesis: " Vision Based Tracking for On-Site  Monitoring of Multiple Construction Workers"

  • Graduation: Feb. 2026

  • leetoday2@naver.com

  • Current Workplace: TAESUNG SNI

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Kim, Jin-Young

  • M.S. Thesis: "Detection and Length Estimation of Low Definition Concrete Cracks in Images Using CNN"

  • Graduation: Feb. 2021

  • kjinyoung3095@naver.com

  • Current Workplace: Sambo Engineering

 

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Pham, Viet Hung

  • M.S. Thesis: "Augmented Reality Application of Visualizing Information about Construction Planning and Resources for On-site Workers"

  • Graduation: Aug. 2022

  • phamhung0306@gmail.com

  • Current Workplace: Ph.D. student at RMIT Univ.

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Huynh, Truong Nhut

  • M.S. Thesis: "Real-time 3D Tracking of Multiple Onsite Workers Using Multiple Cameras"

  • Graduation: Feb. 2023

  • huynhtnhut97@gmail.com

  • Current Workplace: Ph.D. student at Florida Institute of Technology

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Nguyen, Khanh Linh

  • M.S. Thesis: "Augmented Reality Framework for Real-Time Access to Information of Onsite Workers and Equipment"

  • Graduation: Feb. 2023

  • linhnguyenkhanh097@gmail.com

  • Current Workplace: ABCLABS

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Htet, Htoo Thiri

  • M.S. Thesis: " Data Query Algorithm for Accessing On-Site Moving Entities Information from Digital Twin Using AR Headsets"

  • Graduation: Feb. 2024

  • htoothirihtet97@gmail.com

  • Current Workplace: Ph.D. students at Konkuk University

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Jung, Hye-Yeong

  • M.S. Thesis: " Digital Twin-Based AR Application for Real-Time Information"

  • Graduation: Feb. 2025

  • young991130@naver.com

  • Current Workplace: Suwon Yeongtong-gu Office

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Moon, Sunghyun

  • M.S. Thesis: " Reinforcement Learning Based 3D Model Superimposition Method for BIM Based AR Implementation"

  • Graduation: Feb. 2026

  • mshcj0616@naver.com

  • Current Workplace: Dongbu Engineering

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Ali, Ehsan

  • M.S. Thesis: "Comparative Study of Image Segmentation Models for Bridge Components"

  • Graduation: Feb. 2026

  • kachoehsan@gmail.com

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4th Engineering Bldg., 

Myongji University (Natural Science Campus)

116 Myongji-ro, Cheoin-gu, Yongin, Gyeonggi-do,

South Korea, 17058  (Phone: +82-31-330-6411)

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