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publications
Research Progress and Application Status of 3D Printing Construction Technology
Published in Chinese & Overseas Architecture, 2021
This paper reviews the research progress and application status of 3D printing construction technology.
Recommended citation: Zhao, X., Xu, W. (2021). "Research Progress and Application Status of 3D Printing Construction Technology." Chinese & Overseas Architecture, 10(2021):7-13.
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Simulation Algorithm Based on Weathered Rock Morphology and Optimization Algorithm for Design Applications
Published in Hybrid Intelligence: Proceedings of the 4th International Conference on Computational Design and Robotic Fabrication (CDRF 2022), 2022
This paper presents a simulation algorithm based on weathered rock morphology and an optimization algorithm for design applications.
Recommended citation: Ye, W., Zhao, X., Xu, W. (2022). "Simulation Algorithm Based on Weathered Rock Morphology and Optimization Algorithm for Design Applications." in Hybrid Intelligence: Proceedings of the 4th International Conference on Computational Design and Robotic Fabrication (CDRF 2022). Online and Global, 2022.
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Porous Space — Biomimetic of Tafoni in Computational Design
Published in Architectural Intelligence, 2022
This paper explores biomimetic design inspired by tafoni (honeycomb-like rock formations) for creating porous architectural spaces using computational design methods.
Recommended citation: Ye, W., Chen, S., Zhao, X., Xu, W. (2022). "Porous Space — Biomimetic of Tafoni in Computational Design." Architectural Intelligence, 18 (2022).
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Reusable Assembled Lightweight 3D Concrete Printed Components Based on Tessellation Patterns
Published in IASS Symposium 2023, 2023
This paper presents a method for creating reusable assembled lightweight 3D concrete printed components using tessellation patterns.
Recommended citation: Zhao, X., Xu, Z., Xu, W. (2023). "Reusable Assembled Lightweight 3D Concrete Printed Components Based on Tessellation Patterns." IASS Symposium 2023. (Abstract Accepted).
A Computational Method for Real-time Roof Defect Segmentation in Robotic Inspection
Published in Computer‐Aided Civil and Infrastructure Engineering, 2024
This paper presents RRD-SegNet, a computational method for real-time roof defect segmentation in robotic inspection applications.
Recommended citation: Zhao, X. and Jebelli, H. (2024). "RRD-SegNet: A Computational Method for Real-time Roof Defect Segmentation in Robotic Inspection." Computer‐Aided Civil and Infrastructure Engineering. (Journal Under Review).
Adaptive Intelligence for Robot Navigation Efficiency with a Deep-Reinforcement-Learning-Based Cyber-Physical System
Published in 2024 International Conference on Computing in Civil Engineering (i3CE), 2024
This paper presents an adaptive intelligence system for improving robot navigation efficiency using deep reinforcement learning in a cyber-physical system framework.
Recommended citation: Zhao, X., Ren, T., and Jebelli, H. (2024). "Adaptive Intelligence for Robot Navigation Efficiency with a Deep-Reinforcement-Learning-Based Cyber-Physical System." 2024 International Conference on Computing in Civil Engineering (i3CE), Pittsburgh, Pennsylvania, U.S. (Accepted).
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Grounding Large Language Models in Robot Control: Facilitating Human-Robot Collaboration in Construction
Published in 2024 International Conference on Computing in Civil Engineering (i3CE), 2024
This paper explores how large language models can be grounded in robot control systems to facilitate human-robot collaboration in construction environments.
Recommended citation: Zhao, X., and Jebelli, H. (2024). "Grounding Large Language Models in Robot Control: Facilitating Human-Robot Collaboration in Construction." 2024 International Conference on Computing in Civil Engineering (i3CE), Pittsburgh, Pennsylvania, U.S. (Accepted).
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Improving Heat Strain Prediction in Construction Workers: A Transfer Learning Approach to Overcome Variability Challenges
Published in 2024 International Conference on Computing in Civil Engineering (i3CE), 2024
This paper presents a transfer learning approach to improve heat strain prediction in construction workers, addressing challenges related to individual variability.
Recommended citation: Ojha, A., Zhao, X., Zhang, Y., Liu, Y., and Jebelli, H. (2024). "Improving Heat Strain Prediction in Construction Workers: A Transfer Learning Approach to Overcome Variability Challenges." 2024 International Conference on Computing in Civil Engineering (i3CE), Pittsburgh, Pennsylvania, U.S. (Accepted).
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Understanding the Impact of an Exoskeleton System On Metabolic Cost of Workers During Common Repetitive Construction Tasks
Published in 2024 International Conference on Computing in Civil Engineering (i3CE), 2024
This study investigates how exoskeleton systems affect the metabolic cost of workers during common repetitive construction tasks.
Recommended citation: Ojha, A., Gautam, Y., Zhao, X., Sharifironizi, A., Jebelli, H., and Martin, A. (2024). "Understanding the Impact of an Exoskeleton System On Metabolic Cost of Workers During Common Repetitive Construction Tasks." 2024 International Conference on Computing in Civil Engineering (i3CE), Pittsburgh, Pennsylvania, U.S. (Accepted).
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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