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About Us
About Us
We are pioneering groundbreaking techniques, datasets, and AI applications to revolutionize the integration of artificial intelligence in construction processes and management. By harnessing a cross-disciplinary perspective, we integrate the latest breakthroughs from AI research, civil engineering, computational modeling, and data analytics to develop state-of-the-art solutions for construction automation and optimization.
We are situated at the Department of Civil Engineering, Chulalongkorn University in Bangkok, Thailand.
People
People
Vachara has served his assistant professor in the Civil Engineering Department at Chulalongkorn University, Thailand. He earned his Ph.D. from the Royal Melbourne Institute of Technology (RMIT) University in Australia. His research interests include advanced construction innovations such as 3D point cloud, mixed reality, and metaverse building information modeling (BIM). Additionally, he is working on construction automation, IoT, robotics, smart construction, artificial intelligence, and machine learning for construction project improvement in safety and quality management. Furthermore, he also conducts research in the area of organizational learning and knowledge management aspects.
Noppadon Jokkaw is an associate professor with a profound focus on integrating innovative techniques into construction and infrastructure sectors. He has significantly contributed to pivotal studies exploring the impact of human resource management and knowledge management on non-financial organizational performance, especially within Thai infrastructure construction firms. Notably, his work on real-time fire evacuation systems, utilizing the fusion of Building Information Modeling and Augmented Reality, is a testament to his dedication to harnessing cutting-edge technologies for improved safety and efficiency. Based at the prominent lab, his contributions to the field are evident through his published articles in reputed journals.
Tanit Tongthong is an accomplished leader currently of Pre-Built PCL as its Managing Director. His academic foundation includes a Ph.D. in Civil Engineering from the University of Maryland, a Master's degree from the University of Missouri, USA., and B.Eng from Chulalongkorn University. With a distinguished career encompassing roles such as Chairman of the Audit Committee and Independent Director, he has exhibited astute corporate governance. Formerly, he served as the Head of the Department of Civil Engineering and Vice President of Chulalongkorn University, showcasing his adeptness in academic and administrative leadership. He's versatile expertise remains instrumental in both corporate, research, and educational spheres.
Manop Kaewmoracharoen, Ph.D.
Assistant Professor
IN | FB | X | GIT | GS | ID | SC
Manop is an Assistant Professor in the Civil Engineering Department at Chulalongkorn University. He received his PhD in Construction Engineering and Management from Iowa State University in 2009. His research interests include information design and artificial intelligence in construction engineering projects, including building information modeling (BIM), construction digital twin, genetic algorithm, real-time data sensing, virtual reality, extended reality, and other emerging technologies.
Moe Ekapob S.
Designer
Moe graduated from the Architectural Association, AA School of Architecture in London with AADipl and ARB/RIBA 2 (UK Architects Registration Board / Royal Institute of British Architects) and MA in Architectural Lighting and Design Management from Wismar University, Germany. He has worked in San Francisco (sea.design), Amsterdam (IBA - Information Based Architecture), London (ARUP in AGU - Advanced Geometry Unit) and New York (SOM - Skidmore, Owings & Merrill in Digital Design Group and Urban Design & Planning Group). Moe is also teaching at INDA - International Program in Design and Architecture, Faculty of Architecture, Chulalongkorn University in Bangkok. Moe was an editor for a book "New Design: School in Thailand" (Li-zenn Publishing, 2017). He also gave a lecture and workshop about school design at EDUtech Asia 2018 in Singapore. In 2021, he joined a panel discussion at the AIA San Francisco on The Equitable Practice: Creating Pathways through City College of San Francisco (CCSF).
Duyen M.N. Pham
Ph.D. Candidate
Duyen is a Ph.D. candidate in Construction Engineering and Management within the Civil Engineering Department at Chulalongkorn University. Her primary research focuses on adopting conversational AI systems in the construction project management field, particularly emphasizing the effective management of subcontractors' defect correction.
Nay Lin Htet
Graduate student
Nay Lin Htet is currently pursuing a Master's degree in Construction Engineering and Management at Chulalongkorn University. He attained his Bachelor's degree in Civil and Infrastructure Engineering BSc (Hons) from Asian Institute of Technology, Thailand. Presently, his academic pursuits center around the exploration of artificial intelligence within the realm of construction engineering and management, encompassing areas such as natural language processing (NLP), deep learning algorithms, and the integration of virtual and augmented realities (AR/VR).
Thin Myat
Ph.D. Candidate
Thin Myat is currently pursuing a master's degree in Construction Engineering and Management at Chulalongkorn University. His research focuses on artificial intelligence applications in the railway industry, particularly deep learning algorithms and geographic information systems.
Kimheng Oun
Graduate student
Kimheng is a master's student at Chulalongkorn University who is majoring in Construction Management and Engineering (CEM) in the Civil Engineering Department. He received his bachelor’s degree in Civil Engineering (BSc) from Paragon International University. Beside his academic field, after graduating, he worked for a year with a private company as a BIM modeler for low-rise building projects and a QA/QC at construction sites. His areas of interest for his study involve exploring of BIM, artificial intelligence, and automation to improve safety and quality in construction projects.
Khommathat Buranasujja
Graduate student
Khommathat is currently studying under the Master's Degree program in the Construction Management Department at Chulalongkorn University. I have received a Bachelor's Degree in Civil Engineering from the University of Exeter, United Kingdom, in 2020. Additionally, I possess three years of work experience at Italian-Thai Development PLC, where I was involved in various tasks such as bidding for construction projects and creating technical drawings. My Master's Degree research focuses on the utilization of geographic information, portable sensors, and the Internet of Things (IoT) to enhance the dust monitoring methodology and improve communication between the construction project and relevant stakeholders.
Kun Polin
Graduate student
Kun Polin, with a bachelor degree of Architectural Engineering from the Institute of Technology of Cambodia, has accumulated two years of professional experience as an architectural designer. Currently, I am a master's student at Chulalongkorn University, enrolled in the Department of Construction Engineering and Management. My research focuses on the application of AI and deep learning to paved road maintenance systems in Cambodia.
Nattanon Khunwisetkul
Graduate student
Nattanon is a master's degree student in the Civil Engineering Department at Chulalongkorn University. His research involves utilizing AI to identify construction productivity from construction site videos, encompassing object tracking, object detection, and image segmentation AI algorithms.
Paphop Rattanaphan
Graduate student
Paphop Rattanaphan is a graduate student in Construction Engineering and Management within the Civil Engineering Department at Chulalongkorn University. He earned his Bachelor of Engineering in Civil Engineering and Technology from King Mongkut's University of Technology North Bangkok, Thailand. His research focuses on the application of AI and Computer Vision in construction engineering and management.
Phumpat Dejchai
Graduate student
Phumpat Dejchai is a graduate from Chulalongkorn University, where he earned his Bachelor's degree in Civil Engineering. Currently, he is furthering his academic journey at the same institution, enrolled in the Construction Engineering and Management program. Known for his sharp intellect and unwavering dedication, Phumpat possesses a clear vision of his future: to stand out as one of the finest civil engineers in the field. His solid ambition and commendable drive are evident in every project he undertakes, as he consistently aims for excellence in both academic and real-world applications of his knowledge.
Seaklong Taing
Graduate student
Seaklong is a master's student at the Department of Civil Engineering, Division of Construction Engineering and Management, Chulalongkorn University. He earned a bachelor's degree from the Department of Civil Engineering at the Institute of Technology of Cambodia. His research interest is applying AI to enhance safety in real-world construction sites.
Usswatun Chasanah
Graduate student
Usswatun Chasanah is a master’s student in Construction Engineering and Management at Chulalongkorn University. Her interest in construction engineering started during her bachelor’s studies in Indonesia. Now, she is interested in research that estimates gas emissions using computer simulations to reduce the environmental impact of construction. This research demonstrates her commitment to making construction more sustainable and innovative, aiming to make construction practices more efficient and eco-friendly.
Recent Publications
Recent Publications
Benjaoran, V., & Peansupap, V. (2020). Grid-based construction site layout planning with Particle Swarm Optimisation and Travel Path Distance [Article]. Construction Management and Economics, 38(8), 673-688. https://doi.org/10.1080/01446193.2019.1600708
Dang, C. N., Le-Hoai, L., & Peansupap, V. (2021). Effect of encouragement-based management mechanism on construction firms’ manpower development: An empirical study from Vietnam [Article]. Construction Economics and Building, 21(2), 58-80. https://doi.org/10.5130/AJCEB.v21i2.7564
Dang, C. N., Le-Hoai, L., & Peansupap, V. (2022). Linking knowledge enabling factors to organizational performance: Empirical study of project-based firms [Article]. International Journal of Construction Management, 22(3), 527-540. https://doi.org/10.1080/15623599.2019.1637097
Kaewmoracharoen, M., Suwan, T., Nusen, P., & Champrasert, P. (2022). Fitness-for-Use of As-Built Building Information Modeling for Digital Twin. ITC-CSCC 2022 - 37th International Technical Conference on Circuits/Systems, Computers and Communications. https://doi.org/10.1109/ITC-CSCC55581.2022.9894937
Kanangkaew, S., Jokkaw, N., & Tongthong, T. (2023). A real-time fire evacuation system based on the integration of Building Information Modeling and Augmented Reality [Article]. Journal of Building Engineering, 67, Article 105883. https://doi.org/10.1016/j.jobe.2023.105883
Kokkaew, N., Jokkaw, N., Peansupap, V., & Wipulanusat, W. (2022). Impacts of human resource management and knowledge management on non-financial organizational performance: Evidence of Thai infrastructure construction firms [Article]. Ain Shams Engineering Journal, 13(6), Article 101750. https://doi.org/10.1016/j.asej.2022.101750
Kokkaew, N., Peansupap, V., & Jokkaw, N. (2022). An Empirical Examination of Knowledge Management and Organizational Learning as Mediating Variables between HRM and Sustainable Organizational Performance [Article]. Sustainability (Switzerland), 14(20), Article 13351. https://doi.org/10.3390/su142013351
Nov, P., & Peansupap, V. (2020). Using artificial neural network for selecting type of subcontractor relationships in construction project [Article]. Engineering Journal, 24(1), 73-88. https://doi.org/10.4186/ej.2020.24.1.73
Nov, P., Peansupap, V., & Tongthong, T. (2021). Developing an automated system for checking the strut arrangement in deep excavation [Article]. Engineering Journal, 25(1), 99-124. https://doi.org/10.4186/ej.2021.25.1.99
Nusen, P., Boonyung, W., Nusen, S., Panuwatwanich, K., Champrasert, P., & Kaewmoracharoen, M. (2021). Construction planning and scheduling of a renovation project using bim-based multi-objective genetic algorithm [Article]. Applied Sciences (Switzerland), 11(11), Article 4716. https://doi.org/10.3390/app11114716
Nusen, P., Piyawongwisal, P., Nusen, S., & Kaewmoracharoen, M. (2021). Resource Utilization Optimization using Genetic Algorithm based on Variation of Resource Fluctuation Moment for Extra-Large Building Renovation. ACM International Conference Proceeding Series,
Peansupap, V., & Nov, P. (2022). Selection Model of Subcontractor Relationships by Using Discriminant Analysis [Article]. Engineering Journal, 26(7), 23-34. https://doi.org/10.4186/ej.2022.26.7.23
Peansupap, V., Nov, P., & Tongthong, T. (2021). Utilization of building information modeling for arranging the structural kingposts [Article]. Buildings, 11(8), Article 323. https://doi.org/10.3390/buildings11080323
Pham Van, B., & Peansupap, V. (2023). Confirmatory analysis on factors influencing the material management effectiveness in construction projects [Article]. Engineering, Construction and Architectural Management. https://doi.org/10.1108/ECAM-09-2021-0811
Pinmas, P., Panyadee, P., Kaewmoracharoen, M., Khueankhan, S., & Wannachai, A. (2022). Towards Digital Twin Data Center Using Building Information Modeling and Real-Time Data Sensing. ITC-CSCC 2022 - 37th International Technical Conference on Circuits/Systems, Computers and Communications,
Suntaranont, B., Aramkul, S., Kaewmoracharoen, M., & Champrasert, P. (2020). Water irrigation decision support system for practicalweir adjustment using artificial intelligence and machine learning techniques [Article]. Sustainability (Switzerland), 12(5), Article 1763. https://doi.org/10.3390/su12051763
Suriyanon N., Sutheerawatthana P., Kaewmoracharoen M., Klansai V. (2023). The Utility and Value of Contract Terms: A Case Study on Interior Contractors. Construction Economics and Building, 23 (1-2), pp. 77 - 94. https://doi.org/10.5130/AJCEB.v23i1/2.8532
Tea, S., Panuwatwanich, K., Ruthankoon, R., & Kaewmoracharoen, M. (2022). Multiuser immersive virtual reality application for real-time remote collaboration to enhance design review process in the social distancing era [Article]. Journal of Engineering, Design and Technology, 20(1), 281-298. https://doi.org/10.1108/JEDT-12-2020-0500
Tongthong, T., Nyimin, T., & Peansupap, V. (2023). A System for Developing and Evaluating Fire Extinguisher Plans of Construction Projects in Virtual Environments [Article]. Journal of Information Technology in Construction, 28, 200-219. https://doi.org/10.36680/J.ITCON.2023.010
Try, S., Panuwatwanich, K., Tanapornraweekit, G., & Kaewmoracharoen, M. (2021). Virtual reality application to aid civil engineering laboratory course: A multicriteria comparative study [Article]. Computer Applications in Engineering Education, 29(6), 1771-1792. https://doi.org/10.1002/cae.22422
Van Deursen, C., Suwan, T., Laosuwan, S., Wongmatar, P., Kaewmoracharoen, M., & Suwan, P. (2023). Development of Polymeric Binder from Expanded Polystyrene (EPS) Foam Waste as Construction Materials. IOP Conference Series: Earth and Environmental Science.
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