About Us
Construction API Team
Professor
I am Jacob Lin, an Associate Professor at National Taiwan University in the Department of Civil Engineering. Earlier, I received my PhD in CEE and MS in CS from UIUC advised by Mani Golparvar-Fard. We started an AI construction company Reconstruct with Derek Hoiem and Joe Degol.
My research focuses on creating new computer vision algorithms that use visual data and BIM for construction project controls; leveraging synergies between lean construction, BIM and Reality modeling for construction production management; and building predictive schedule analytics for construction risk management.
Our Member
Thai Hoa Le
PhD Candidate
Mixed Reality
Mik Wanul Khosiin
PhD Candidate
Human Object Interaction
Phuong Linh Le
PhD Student
Construction Digitalization
Lu Jen Yu
Master Student
Building Information Modeling
Cheng-Yun Cai (蔡承耘)
Master Student
Crew Productivity Analysis
Yu-Lun Kuo (郭羽綸)
Master Student
Robotics
Wei-Chieh Chi (亓韡潔)
Master Student
Photogrammetry
熊冠詠
Master Student
Language Processing
Wei-Yi Hsu (徐維懿)
Master Student
3D computer vision
許睿明
Master Student
Building Information Modeling
Siao-Jhen Lin (林筱蓁)
Master Student
BIM tools – API development
Howard Liu (劉人豪)
Master Student
Robotics
Yu-Ling Chen (陳妤玲)
Master Student
Photogrammetry
Jeff Hsieh (謝宜城)
Master Student
Deanne Callista Radiany Wibowo
Master Student
Video Captioning
廖國宏
Master Student
Robotics
Yuio Chang (張芷綺)
Master Student
Simulation modeling
Raynard Vincent Elsantio
Master Student
Graph Neural Network
Nelson Claudio Salim (林敬揚)
Master Student
Contract Document
Bryan Davis Tan (魏民權)
Master Student
Robotics
王柏燁
Undergraduate Student
Object Detection
Leon (李洋)
Undergraduate Student
Safety Regulations
Hsin Chen Hsu
Administrative
Alumni
Dr. Aritra Pal
Postdoctoral / 2022
Current Position: Assistant Professor in Indian Institute of Technology Madras
Dissertation: Automated activity-level progress monitoring from visual data and schedules through digital twin construction. 🔗
Ang Chi-Hang (洪梓航)
Master Student / 2023
Thesis: Using Deep Line Feature for Point Cloud Registration in Built Environment. 🔗
Nguyen Van Thong
Master Student / 2023
Current Position: BIM Engineer, Woh Hup Vietnam
Thesis: BIM-driven carbon emissions estimation for concrete building structural elements. 🔗
Wei-Lun Tsai (蔡瑋倫)
Master Student / 2023
Current Position:
Thesis: Assisting Construction Safety Inspection Documentation via Vision-Based Natural Language Generation. 🔗
Pei-Hsin Lin (林沛忻)
Master Student / 2023
Thesis: ScaffoldGraph: Graph Neural Networks for Scaffolding Integrity and Completeness Detection. 🔗
Hsin-You Chiang (蔣昕佑)
Master Student / 2023
Thesis: Research on the establishment suggestion of Structure Health Monitoring System – Taking Steel Construction for example. 🔗
Wang-Fat Ho (何宏發)
Master Student / 2023
Thesis: Interior Components Change Detection Through Interpreting Point Cloud by Multimodal Large Language Model. 🔗
Le Phuong Linh
Master Student / 2022
Thesis: Systematic Visual Data Capture Plans for Construction Monitoring using BIM. 🔗
Yun-Ting Shih (施昀廷)
Master Student / 2021
Thesis: BIM Model Requirements for Construction Monitoring Tasks with Augmented Reality. 🔗
Nguyen Khuong Linh
Master Student / 2021
Thesis: Using Virtual Reality for Construction Quality Assessment and Control with 360 Image-based Point Cloud Model. 🔗
Duong Duy Hung
Master Student / 2021
Thesis: Reality Model-based Facility Management Framework for Existing Building. 🔗
Chen-Houng Seau (蕭政宏)
Master Student / 2021
Thesis: 4D-BIM and reality model-driven camera placement optimization for construction monitoring. 🔗
Yi-Ru Wu (吳依儒)
Master Student / 2020
Thesis: Incorporating Lean Principles Into ISO19650 for Information Management in Turnkey Projects. 🔗
Tse-Hsiang Wang (王澤庠)
Master Student / 2020
Thesis: Using Deep Learning and Data Augmentation with Generative Adversarial Networks for Unorganized Construction Photos Localization. 🔗
Jiwon Byoun
Undergraduate Student / 2025
Project:
Part-time Student
Yu Tsao (曹裕)
Master Student / 2022
Thesis: Automated vision-based warehouse management system for cement bag. 🔗
Hsiang-Kai Lu (盧湘凱)
Master Student / 2022
Thesis: Application of Deep Learning Method to Underwater Rust Image Recognition–In Case of Dapeng Bay. 🔗
Jui-Chung Chen (陳瑞忠)
Master Student / 2022
Thesis: A Study on the Application of Multilevel Project Management Information System in Large-Scale Projects – A Case of Construction Phase Schedule Management. 🔗
Kao-Ho Lin (林高禾)
Master Student / 2023
Thesis: A Research on Alternative Dispute Resolution Procedures for Construction Contract Performance Disputes: Focusing on the Mediation System. 🔗
Awards & Honors
List of Awards & Honors
Courses
CIE3030 Spring – Construction Management
The course is designed to allow students to develop an understanding of the construction “Project lifecycle” process from the initial conception phase of a project through the completion of construction. Emphasis is placed upon the construction and management aspects of the lifecycle.
CIE7052 Fall – Project Management for Construction
This course introduces the Project Management Knowledge, specialized for construction industry. The fundamentals of project management and the importance of each project phase will be well covered. In addition, the recent technological advances that facilitate construction project management, such as Building Information Modeling and Lean Construction, will be explored throughout the course.
CIE5141 Spring – Computer Vision in Construction
This course introduces 2D and 3D visual sensing (Computer Vision) and how it can solve civil engineering problems. This is an application-driven and project-based course that also covers basic understanding of the theoretical concepts of computer vision and image processing (e.g. feature detection and matching, 3D scene reconstruction, object detection and tracking, and SLAM).
CIE5139 Spring – High Tech Facility Design
The purpose of this course is to provide basic design knowledge needed for fabrication facilities that support high-tech manufacturing and R&D. Students will gain skills needed to meet ever-changing challenge of delivering an ultra-pure clean room and ultra-pure process utilities. Moreover, this course will strengthen students’ understanding and background in constructing high-tech manufacturing fab/plant and research lab.
CIE1005 Fall – Engineering Graphics
Students will learn and apply computer-aided drawing software in depth to develop their basic and advanced engineering drawing, viewing and presentation skills. They will also use actual engineering cases to develop their ability to think about and compose space, so as to effectively express and communicate engineering design content.
