楊新聰

楊新聰，助理教授，深圳市孔雀計畫C類人才，現就職於哈爾濱工業大學（深圳）土木與環境工程學院。2012年開始進行建築信息模型（BIM）的研究，主要從事智慧型建造、智慧運維的相關研究，涉及物聯網、人工智慧、大數據、數字孿生技術等。在 Computer-Aided Civil and Infrastructure Engineering、Automation in Construction、Advanced Engineering Informatics、Journal of Building Engineering、Journal of Construction Engineering and Management 等國際知名期刊上發表多篇SCI文章，其中高被引論文1篇，授權國家專利1項，榮獲 ISARC 2018 Best Paper等。

基本介紹

  • 中文名：楊新聰
  • 國籍：中國
  • 畢業院校：哈爾濱工業大學
  • 職稱：助理教授
人物經歷,教育背景,工作經歷,研究方向,科研成果,科研項目,期刊論文,會議論文,

人物經歷

教育背景

2014 - 2019 PhD@The Hong Kong Polytechnic University Construction Informatics (Supervisor: Chair Prof. Heng Li)
Thesis: Smart tool-based quality management system for on-site traceability
Link: PolyU Electronic Theses
2014 - 2019 博士@哈爾濱工業大學 結構工程（導師：翟希梅、王鳳來教授）
論文：隱性施工的數據採集和套用方法研究
連結：中國知網
2012 - 2014 碩士@哈爾濱工業大學 建築與土木工程（導師：王鳳來教授）
2008 - 2012 本科@哈爾濱工業大學 土木工程&工程管理

工作經歷

2021 - 至今 助理教授@哈爾濱工業大學（深圳），土木與環境工程學院
2019 - 2021 Research Assistant / Postdoctoral Fellow @Smart Construction Lab, The Hong Kong Polytechnic University
2014 - 2015 Assistant Construction [email protected]. Hoel GmbH, Frankfurt, Germany

研究方向

研究偏向於土木工程、計算機科學、套用數學、電子信息工程以及管理學的交叉領域。
智慧型建造、施工方向：
基於計算機視覺的施工安全行為分析
基於智慧型物聯網的施工質量可追溯管理
智慧運維、城市建築與基礎設施智慧型運維：
多模態數據融合的建築外牆缺陷檢測與修復
城市建築數字孿生平台、輕量化BIM引擎
社交媒體分析與信息提取

科研成果

科研項目

  • 智慧城市高層建築表觀損傷自動化識別與修復的關鍵技術研究，深港澳科技計畫項目C類，2021.07-2022.07，Co-PI
  • 施工不安全行為監控系統，華為技術有限公司（香港），2021.03-2022.06，Co-PI
  • 無人機及人工智慧輔助政府建築物之外牆檢測，香港建築署，2021.01-2021.09，主要參與人
  • Surefire - Smart Urban Resilience and Firefighting, TRS, 參與人（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, 2019.09-2022.06，參與人
  • Automated airborne drone for beach wastes recycling. ECF, 2019.05-2021.04，參與人
  • Smart Construction Platform Based on Cloud BIM and Image Processing. ITF, 2018.04-2019.07，參與人
  • Location-based Technologies for Asset Tracking and Risk Management. ITF, 2018.02-2019.05，主要參與人
  • Biomechanical Evaluation and Prevention of Low Back and Neck Musculoskeletal Disorders of Rebar Workers. PPR, 2017.06-2019.05，參與人
  • Enabling Technologies Based on Computer Vision and Machine Learning for Better Quality Management on Construction Sites. CIC, 2017.06-2019.05，參與人

期刊論文

  • 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.

會議論文

  • 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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