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Johnson Xuesong Shen

Associate Professor in the School of Civil and Environmental Engineering · Faculty of Engineering · University of New South Wales

Quick answer: Johnson Xuesong Shen is Associate Professor in the School of Civil and Environmental Engineering at University of New South Wales. Johnson Xuesong Shen shows an active PhD hiring signal as of 2026-09-17.

⭐ Looking for students for projects related to: Machine Learning in Industrial and Engineering Applications, Automated As-built Modelling, Multi-sensor Integration for UAV Mapping, Vision & LiDAR SLAM, Photogrammetry and UAV LiDAR Scanning, Structural Health Monitoring, Fuel Consumption Modelling of Construction Machinery, Tunnelling Machine Control and Guidance, Wall Penetrating Radar for Non-destr

Research interests

Associate Professor in the School of Civil and Environmental Engineering Research interests Digital Twins and As-Built Building Information Modelling (BIM) Construction Automation and Robotics Artificial Intelligence (AI) in Engineering Applications Mobile Mapping with Light Detection and Ranging Technique (LiDAR) Unmanned Aerial Systems (UAS) in Civil and Mining Applications Emissions and Fuel Consumption Modelling of Construction Machinery Courses taught CVEN4102 Operations and Projects CVEN9723 Design of Construction Operations News and media coverage 2019-01-17: ABC News - Interview on Elon Musk's $1 Billion Blue Mountains Tunnel 2019-01-17: ABC Radio Sydney - Interview on Sydney Metro TBM Tunnel Construction 2019-02-07: UNSW CVEN - When a tunnel is not at all boring 2017-07-08: 9 News Sydney - Super drone 2017-05-24: UNSW Newsroom - Autonomous 3D mapping drone is a game changer 2017-05-23: NSW Department of Industry - TechConnect Global and Arludo showcase technologies 2016-11-14: UNSW CVEN - Inspiring Learning 2016-10-19: UNSW CVEN - State of the art construction model labs 2015-03-19: UNSW CVEN - Awards for Teaching Excellence 2017-07-21: UNSW CIES - Autonomous 3D mapping drone is a game changer 2017-06-23: Spatial Source - It’s here: 3D surveying in real-time with UAV-based LiDAR 2017-05-29: UNSW CVEN - Is it a bird? Is it a plane? 2017-05-26: Australian Mining - UNSW develops autonomous 3D mapping drone 2017-05-25: Engineers Australia - Autonomous 3D mapping drone improves speed of asset surveys 2017-05-23: UNSW Engineering - Unlimited potential for real-time 3D laser surveying drone 2016-09-22: UNSW CVEN - Catching up with the UAVs Awards Top 10 Best Conference Papers, the 32nd International Symposium on Automation and Robotics in Construction and Mining (ISARC2015), Finland, 2015 Vice Chancellor's Award for Teaching Excellence (Led by Prof. D. Carmichael), UNSW Australia, 2014 Best PhD Student Paper Award, the 13th International Conference on Construction Applications of Virtual Reality (CONVR), UK, 2013 Postdoctoral Fellowship, University of Alberta, NSERC & TECTERRA, Canada, 2011-2013 Best Paper Award, the 2010 Construction Research Congress (CRC2010), ASCE, Canada, 2010 Most Cited Paper, Automation in Construction (Q1), Elsevier, 2007-2012 Recent research grants 2022-2027: Australian Research Council (ARC), RG203977 & RG213098 (CIs: Prof. N. Khalili, Prof. S. Zlatanova, A/Prof. X. Shen, et al., Key Industry Partner: Linke & Linke Surveys), "ARC Industry Transformation Research Hub on Resilient and Intelligent Infrastructure Systems (RIIS) in Urban, Resources and Energy Sectors", $5,980,000 2023: Australian Department of Industry, Innovation and Science - Innovation Connections Program, RG230299 (CIs: A/Prof. X. Shen, Dr. K. Barati, and A/Prof. C. Wang, Industry Partner: KMK Property Solutions), "Advanced Manufacturing of Sustainable Buildings Using Prefabricated Modular Panels", $100,000 2018-2020: UNSW Contract Research, RG181841 (CIs: Dr. X. Shen and Prof. D. Carmichael, Industry Partner: Linke & Linke Surveys), "Evaluating Light Detection and Ranging (LiDAR) Sensors for Construction Mapping", $100,000 2018-2019: NSW Department of Industry – Boosting Business Innovation Program, RG182102 & RG161881AA (CIs: Dr. X. Shen and Prof. D. Carmichael, Industry Partner: Smart Welding Solutions), "Construction Drilling Robot", $30,000 2017: NSW Department of Industry – Boosting Business Innovation Program, RG171715 & RG161881-F (CI: Dr. X. Shen, Industry Partner: Linke & Linke Surveys), "Real-time and Autonomous 3D Mapping of Construction Projects using Unmanned Aerial Vehicle (UAV) based Light Detection and Ranging (LiDAR) technique", $30,000 2017-2018: Australian Coal Association Research Program (ACAPR), C26030 (CIs: Dr A. Simit, Dr. X. Shen, Dr. H. Masoumi, and Prof. M. Schwensen), "Improved Structural Mapping of Pit Walls Using UAV Based Mobile Laser Scanning", $96,068 2014-2017: CRC for Low Carbon Living, RP1020 (CIs: Prof. S. Foster, Prof. J. Sanjayan, and A/Prof. A. Castel), "Performance based Criteria for Concretes: Creating Pathways for Low Carbon Concrete Manufacture with Existing Standards", $585,161 2014: UNSW Faculty Research Grant, "Integrated Machine Control and Guidance for Tunnel Construction in Curved Alignment", $29,374 Recent learning and teaching grants UNSW Learning and Teaching Innovation Grant, SEF#4 (with Prof. D. Carmichael), "Get Your Hands Dirty: Enhancing Learning Experience through Undertaking Scaled Construction Projects in Laboratory", 2015, $50,000 Students Number currently in lab: 9 PhD Candidates Student Projects: 2017-2020: 3D Classification and Semantic Segmentation for Construction Jobsites based on Deep Learning PhD Student: Yongzhi Xu 2014-2017: Emissions Modelling of Construction Equipment through Field Data Measurement PhD Student: Khalegh Barati 2016-2019: Unmanned Aerial Vehicle-based LiDAR Mapping for Forest Fuel Loading Estimation PhD Student: Li Liu (Joint supervised with A/Prof. Samsung Lim in Surveying and Geospatial Engineering) 2014-2017: Vision-based Pose Estimation and Self-calibration for UAV Photogrammetry PhD Student: Mohammad Ridhwan Tamjis (Joint supervised with A/Prof. Samsung Lim in Surveying and Geospatial Engineering) 2014-2016: Serviceability and Durability Investigation of Geopolymer Concrete with Embedded Sensors MEng Student: Jerry Jin Dang Looking for students for projects related to: Machine Learning in Industrial and Engineering Applications Automated As-built Modelling Multi-sensor Integration for UAV Mapping Vision & LiDAR SLAM Photogrammetry and UAV LiDAR Scanning Structural Health Monitoring Fuel Consumption Modelling of Construction Machinery Tunnelling Machine Control and Guidance Wall Penetrating Radar for Non-destructive Utility Mapping Proactive Construction Safety Management Professional organisations Treasurer and Executive Committee Member, International Association for Automation and Robotics in Construction (IAARC) Associate Member, American Society of Civil Engineers (ASCE) Member, Australian Network of Structural Health Monitoring (ANSHM) Member, Australasian Tunnelling Society (ATS) Education Ph.D. (Construction Engineering and Management), The Hong Kong Polytechnic University, Hong Kong Digital Twins and As-Built Building Information Modelling (BIM) Construction Automation and Robotics Artificial Intelligence (AI) in Engineering Applications Mobile Mapping with Light Detection and Ranging Technique (LiDAR) Unmanned Aerial Systems (UAS) in Civil and Mining Applications Emissions and Fuel Consumption Modelling of Construction Machinery

Frequently asked questions

Is Johnson Xuesong Shen hiring PhD students at University of New South Wales?
Yes. As of 2026-09-17, Johnson Xuesong Shen's faculty page shows a PhD hiring signal: Looking for students for projects related to: Machine Learning in Industrial and Engineering Applications, Automated As-built Modelling, Multi-sensor Integration for UAV Mapping, Vision & LiDAR SLAM, .
What does Johnson Xuesong Shen research?
Associate Professor in the School of Civil and Environmental Engineering Research interests Digital Twins and As-Built Building Information Modelling (BIM) Construction Automation and Robotics Artificial Intelligence (AI) in Engineering Applications Mobile Mapping with Light Detection and Ranging T

Data last updated: 2026-09-17 · Source: phd-match.com faculty database.

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