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个人简介

杨新聪,助理教授,深圳市孔雀计划C类人才,现就职于哈尔滨工业大学(深圳)土木与环境工程学院。2012年开始进行建筑信息模型(BIM)的研究,目前主要从事智能建造、智慧运维的相关研究,涉及物联网、人工智能、大数据、数字孪生技术等。在 Computer-Aided Civil and Infrastructure Engineering、Automation in Construction、Advanced Engineering Informatics、Journal of Building Engineering、Journal of Construction Engineering and Management 等国际知名期刊上发表多篇SCI文章,其中高被引论文1篇,授权国家专利1项,荣获 ISARC 2018 Best Paper等。 教育背景 2014 - 2019 博士 哈尔滨工业大学 结构工程(导师:翟希梅、王凤来教授) 2012 - 2014 硕士 哈尔滨工业大学 建筑与土木工程(导师:王凤来教授) 2008 - 2012 本科 哈尔滨工业大学 土木工程&工程管理 工作经历 助理教授 哈尔滨工业大学(深圳),土木与环境工程学院 科研项目经历 超高层建筑运行监测预警与智慧运维关键技术研发与示范,国家重点研发计划,2023-2025,参与,在研 长寿命低成本混凝土电池的设计及性能研究,深圳市优秀科技创新人才培养项目(博士基础研究启动),2023-2025,主持,在研 基于无人机载体的屋面光伏异常识别技术研究,应急管理部重点实验室开放课题,2023-2025,主持,在研 知识和数据协同驱动的数字孪生双碳系统关键技术研究,深圳市高等院校稳定支持计划面上项目,2023-2025,主持,在研 多模态感知融合的高层建筑外墙缺陷非接触识别方法研究,国家自科青年基金,2022-2024,主持,在研 智慧城市高层建筑表观损伤自动化识别与修复的关键技术研究,深港澳科技计划项目C类,2021.07-2022.07,Co-PI 施工不安全行为监控系统,华为技术有限公司(香港),2021.03-2022.06,Co-PI 无人机及人工智能辅助政府建筑物之外墙检测,香港建筑署,2021.01-2021.09,主要参与人 Surefire - Smart Urban Resilience and Firefighting, TRS, 参与人(https://www.bse.polyu.edu.hk/PolyUFire/index.html) In search of a suitable tool for proactive physical fatigue assessment: an invasive to non-invasive approach. RGC, 2019.09-2022.06,参与人 Automated airborne drone for beach wastes recycling. ECF, 2019.05-2021.04,参与人 Smart Construction Platform Based on Cloud BIM and Image Processing. ITF, 2018.04-2019.07,参与人 Location-based Technologies for Asset Tracking and Risk Management. ITF, 2018.02-2019.05,主要参与人 Biomechanical Evaluation and Prevention of Low Back and Neck Musculoskeletal Disorders of Rebar Workers. PPR, 2017.06-2019.05,参与人 Enabling Technologies Based on Computer Vision and Machine Learning for Better Quality Management on Construction Sites. CIC, 2017.06-2019.05,参与人

研究领域

研究偏向于土木工程、计算机科学、应用数学、电子信息工程以及管理学的交叉领域。 智能建造、施工方向: 基于计算机视觉的施工安全行为分析 基于智能物联网的施工质量可追溯管理 智慧运维、城市建筑与基础设施智能运维: 多模态数据融合的建筑外墙缺陷检测与修复 城市建筑数字孪生平台、轻量化BIM引擎 社交媒体分析与信息提取

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Yang, X., Guo, R., & Li, H. (2023). Comparison of multimodal RGB-thermal fusion techniques for exterior wall multi-defect detection. Journal of Infrastructure Intelligence and Resilience, 2(2), 100029. doi:https://doi.org/10.1016/j.iintel.2023.100029 X. Yang, Y. Yu, S. Shirowzhan, S. sepasgozar, H. Li, Automated PPE-Tool pair check system for construction safety using smart IoT, Journal of Building Engineering 32 (2020) 101721 DOI: https://doi.org/10.1016/j.jobe.2020.101721. X. Yang, H. Li, Y. Yu, X. Luo, T. Huang, X. Yang, Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network, Computer-Aided Civil and Infrastructure Engineering 33 (12) (2018) 1090-1109 DOI: doi:10.1111/mice.12412. X. Yang, H. Li, T. Huang, X. Zhai, F. Wang, C. Wang, Computer-Aided Optimization of Surveillance Cameras Placement on Construction Sites, Computer-Aided Civil and Infrastructure Engineering 33 (12) (2018) 1110-1126 DOI: doi:10.1111/mice.12385. X. Yang, Y. Yu, H. Li, X. Luo, F. Wang, Motion-based analysis for construction workers using biomechanical methods, Front. Eng 4 (1) (2017) 84-91 DOI: 10.15302/j-fem-2017004. X. Yang, X. Luo, H. Li, X. Luo, H. Guo, Location-based measurement and visualization for interdependence network on construction sites, Advanced Engineering Informatics 34 (2017) 36-45 DOI: 10.1016/j.aei.2017.09.003. Y. Yu, H. Li, X. Yang, L. Kong, X. Luo, A.Y.L. Wong, An automatic and non-invasive physical fatigue assessment method for construction workers, Automation in Construction 103 (2019) 1-12 DOI: 10.1016/j.autcon.2019.02.020. H. Li, X. Yang, M. Skitmore, F. Wang, P. Forsythe, Automated classification of construction site hazard zones by crowd-sourced integrated density maps, Automation in Construction 81 (2017) 328-339 DOI: 10.1016/j.autcon.2017.04.007. H. Li, X. Yang, F. Wang, T. Rose, G. Chan, S. Dong, Stochastic state sequence model to predict construction site safety states through Real-Time Location Systems, Safety Science 84 (2016) 78-87 DOI: 10.1016/j.ssci.2015.11.025. Y. Yu, X. Yang, H. Li, X. Luo, H. Guo, Q. Fang, Joint-Level Vision-Based Ergonomic Assessment Tool for Construction Workers, Journal of Construction Engineering and Management 145 (5) (2019) 04019025 DOI: 10.1061/(ASCE)CO.1943-7862.0001647. Y. Yu, H. Li, W. Umer, C. Dong, X. Yang, M. Skitmore, A.Y.L. Wong, Automatic Biomechanical Workload Estimation for Construction Workers by Computer Vision and Smart Insoles, Journal of Computing in Civil Engineering 33 (3) (2019) 04019010 DOI: 10.1061/(ASCE)CP.1943-5487.0000827. X. Yang, R. Zhang, S. Ma, X. Yang, F. Wang, Fractal dimension of concrete meso-structure based on X-ray computed tomography, Powder Technology 350 (2019) 91-99 DOI: 10.1016/j.powtec.2019.03.003. X. Luo, H. Li, X. Yang, Y. Yu, D. Cao, Capturing and Understanding Workers’ Activities in Far-Field Surveillance Videos with Deep Action Recognition and Bayesian Nonparametric Learning, Computer-Aided Civil and Infrastructure Engineering 34 (4) (2019) 333-351 DOI: 10.1111/mice.12419. X. Luo, H. Li, D. Cao, Y. Yu, X. Yang, T. Huang, Towards efficient and objective work sampling: Recognizing workers' activities in site surveillance videos with two-stream convolutional networks, Automation in Construction 94 (2018) 360-370 DOI: 10.1016/j.autcon.2018.07.011. X. Yang, F. Wang, X. Yang, F. Zhu, B. Chi, Quantity and shape modification for random-fractal-based 3D concrete meso-simulation, Powder Technology 320 (2017) 161-178 DOI: 10.1016/j.powtec.2017.07.031. X. Yang, F. Wang, X. Yang, Q. Zhou, Fractal dimension in concrete and implementation for meso-simulation, Construction and Building Materials 143 (2017) 464-472 DOI: 10.1016/j.conbuildmat.2017.03.157. X. Luo, H. Li, F. Dai, D. Cao, X. Yang, H. Guo, Hierarchical Bayesian Model of Worker Response to Proximity Warnings of Construction Safety Hazards: Toward Constant Review of Safety Risk Control Measures, Journal of Construction Engineering and Management 143 (6) (2017) 04017006 DOI: 10.1061/(ASCE)CO.1943-7862.0001277. D. Cao, H. Li, G. Wang, X. Luo, X. Yang, D. Tan, Dynamics of Project-Based Collaborative Networks for BIM Implementation: Analysis Based on Stochastic Actor-Oriented Models, Journal of Management in Engineering 33 (3) (2017) 04016055 DOI: 10.1061/(ASCE)ME.1943-5479.0000503. 会议论文 Y. Yu, H. Li, X. Yang, 3D Posture Estimation from 2D Posture Data for Construction Workers, 2019 Proceedings of the 36th ISARC, Banff, Alberta, Canada, 2019, pp. 35-41. X. Yang, F. Wang, H. Li, Y. Yu, X. Luo, X. Zhai, A Low-Cost and Smart IMU Tool for Tracking Construction Activities, 2019 Proceedings of the 36th ISARC, Banff, Alberta, Canada, 2019, pp. 35-41. Y. Yu, H. Li, X. Yang, W. Umer, Estimating Construction Workers' Physical Workload by Fusing Computer Vision and Smart Insole Technologies, 2018 Proceedings of the 35th ISARC, Berlin, Germany, 2018, pp. 35-41. (Best Paper Award) X. Yang, H. Li, F. Wang, X. Luo, D. Cao, Using Switching State-Space Model to Identify Work States Based on Movement Data, Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate, Hong Kong, 2018, pp. 35-41.

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