Barry is a Fellow Chartered Professional Geotechnical Engineer with more than 24 years of experience. He is highly skilled in design review and identifying ways to optimise initial design concepts during tender and construction stages, and has provided innovative, “fit-for-purpose” design solutions for the geotechnical aspects of major transport infrastructure projects in Australia and internationally, including the Pacific Highway Upgrade (Varsity Lakes to Tugun, QLD), New England Highway Upgrade - Bolivia Hill (NSW), New Priok Port Extension (Jakarta, Indonesia), Gateway Upgrade North (QLD), Ipswich Motorway Upgrade (QLD), Peninsula Link (VIC), Adelaide Desalination Plant (SA), Taiwan High Speed Rail, and the Putrajaya Highway (Kuala Lumpur, Malaysia). Barry is one of the pioneers championing the application of reliability-based geotechnical design for soft soils engineering internationally, driven by risk assessment, CAPEX and OPEX analysis. He mentors young engineers and publishes case studies and technical papers on reliability-based geotechnical design (RBGD), back-analysis of secondary consolidation post-construction settlement, instrumented piled foundations, ground improvement solutions and complex hybrid retaining structures/systems. Since 2021, Barry has been actively engaged with Griffith University as Industry Fellow and Lead Partner Investigator on multiple federal-level grants (Australian Research Council and Innovative Manufacturing CRC), mentoring the R&D team on the impact of artificial intelligence and simulation neural networks on soft soils engineering through proof-of-concept and field application.

Academic degrees

• Master of Science in Civil Engineering (Geotechnical), Feng Chia University, Taiwan, 2004
• Bachelor of Civil Engineering (Hons.), University Putra Malaysia, 1998

Professional affiliations

Member of National Professional Bodies

• Transport for NSW (TfNSW); Griffith University – School of Engineering and Built Environment, Engineering authority; University. Geotechnical Design Checker & Verifier; Visiting Industry Fellow, Lead Partner Investigator (ARC & IMCRC grants), National, 2022
• Board of Professional Engineers Queensland; APEC Engineer Register; American Society of Civil Engineers, Registered Professional Engineer body; APEC/International Professional Engineer register; Professional association, International, 2012
• Institution of Engineers Australia, Chartered Professional Engineer body, Fellow (FIEAust), Chartered Professional Engineer (CPEng), National, 2012

Journal

1. Pu Z, Zhu M, Li W, Cui Z, Guo X, Wang Y*. “Monitoring Public Transit Ridership Flow by Passively Sensing Wi-Fi and Bluetooth Mobile Devices.” IEEE Internet of Things Journal. Jul. 2020. (Early Access, IF: 9.936, JCR Q1) [PDF]
2. Cui Z, Lin L, Pu Z*, Wang Y. “Graph Markov Network for Traffic Forecasting with Missing Data.” Transportation Research Part C: Emerging Technologies 117 (2020): 102671. (IF: 6.077, JCR Q1) [PDF]
3. Pu Z, Ke R, Li Z, Wang Y*. “Evaluating the Non-Linear Correlation between Vertical Curve Features and Crash Rates on Highways using Random Forests.” Journal of Transportation Engineering, Part A: Systems, 146 10 (2020): 04020115.(IF: 0.989, JCR Q4) [PDF]
4. Pu Z, Liu C, Shi X, Cui Z, Wang Y*. “Road Surface Friction Prediction Using Long Short-Term Memory Neural Network Based on Historical Data.” Journal of Intelligent Transportation Systems (2020) 1-12. (IF: 3.269, JCR Q2) [PDF]
5. Pu Z, Li Z, Ke R, Wang Y*. “Full Bayesian Before-After Analysis of Safety Effects of Variable Speed Limit System.” IEEE Transactions on Intelligent Transportation Systems. Jan. 2020. (Early Access, IF: 6.319, JCR Q1) [PDF]
6. Pu Z, Cui Z, Wang S, Wang Y*. “Time-Aware Gated Recurrent Unit Networks for Road Surface Friction Prediction Using Historical Data.” IET Intelligent Transport Systems 14.4 (2020): 213-219. (IF: 2.48, JCR Q2) [PDF]
7. Pu Z, Li Z, Ash J, Zhu W, Wang Y*. “Evaluation of spatial heterogeneity in the sensitivity of on-street parking occupancy to price change.” Transportation Research Part C: Emerging Technologies 77 (2017): 67-79. (IF: 6.077, JCR Q1) [PDF]
8. Cui Z, Ke R, Pu Z, Wang Y*. “Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values” Transportation Research Part C: Emerging Technologies. May 2020. (In press, IF: 6.077, JCR Q1)
9. Zhu M, Wang Y*, Pu Z, Hu J, Ke R. “Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving.” Transportation Research Part C: Emerging Technologies 117 (2020): 102662. (IF: 6.077, JCR Q1) [PDF]
10. Cui Z, Ke R, Pu Z, Ma X, Wang Y*. “Learning Traffic as a Graph: A Gated Graph Wavelet Recurrent Neural Network for Network-scale Traffic Prediction.” Transportation Research Part C: Emerging Technologies 115 (2020): 102620. (IF: 6.077, JCR Q1) [PDF]
11. Ke R, Zhuang Y, Pu Z, Wang Y*. “A Smart, Efficient, and Reliable Parking Surveillance System with Edge Artificial Intelligence on IoT Devices” IEEE Transactions on Intelligent Transportation System. Mar. 2020. (Early Access, IF: 6.319, JCR Q1) [PDF]
12. Cui Z, Henrickson K, Biancardo S, Pu Z, Wang Y*. “Establishing Multisource Data-Integration Framework for Transportatin Data Analytics.” Journal of Transportation Engineering, Part A: Systems 146.5 (2020): 04020024.(IF: 0.989, JCR Q4) [PDF]
13. Li Z, Xu C, Pu Z, Guo Y, Liu P*. “Reinforcement Learning-Based Variable Speed Limits Control to Reduce Crash Risks near Traffic Oscillations on Freeways.” IEEE Intelligent Transportation Systems Magazine. Jan. 2020. (Early Access, IF: 3.363, JCR Q2) [PDF]
14. Li W, Pu Z, Ban X*, Li Y. “Characterization of Ride-splitting Based on Observed Data: A Case Study of Chengdu, China.” Transportation Research Part C: Emerging Technologies 100 (2019): 330-353. (IF: 6.077, JCR Q1) [PDF]
15. Li Q*, Wang Y, Pu Z, Wang S, Zhang W. “Time Series Association State Analysis Method for Attacks on the Smart Internet of Electric Vehicle Charging Network.” Transportation Research Record 2673.4 (2019): 217-228. (IF: 1.029, JCR Q4) [PDF]

Selected Conference Proceedings

1. Pu Z*, Zhang Q, Zhuang Y, Lv Y, Wang Y*. “A Device-Free Pedestrian Monitoring Method Based on Wi-Fi Channel State Information.” ASCE International Conference on Transportation & Development. 2020.
2. Pu Z*, Ke R, Wang Y. “A Novel Multi-Source Transportation Internet of Things Device: Mobile Unit for Sensing Traffic (MUST) Sensor.” ASCE International Conference on Transportation & Development. 2020.
3. Pu Z, Li Z, Zhu W, Cui Z, Wang Y*. “Evaluating Safety Effects of Variable Speed Limit System using Empirical Bayesian Before-After Analysis.” Transportation Research Board 96th Annual Meeting. No. 17-05863. 2017.
4. Pu Z, Li Z, Ash J, Zhu W, Wang Y*. “Spatial Modeling of Sensitivity of On-Street Parking Occupancy to Price Change.” Transportation Research Board 95th Annual Meeting. No. 16-4824. 2016.
5. Liu T, Pu Z*, Zhang Q, Wang Y. “A Novel Way of Pedestrian Speed Detection Using Wi-Fi Channel State Information.” ASCE International Conference on Transportation & Development. 2020.
6. Zhu M, Pu Z, Yang H, Liu C, Wang Y*. “Developing A Visual Car-Following Model.” ASCE International Conference on Transportation & Development. 2020.
7. Li M, Li Z*, Pu Z, Liu T, Liu P. “Short-Term Prediction of Operational and Safety impacts of Lane Changes in Oscillations with Empirical Vehicle Trajectories” Transportation Research Board 98th Annual Meeting. No. 19-04005. 2019.
8. Li Z, Pu Z, Liu T*, Xu C. “Enhancing Real-Time Crash Risk Prediction Performance Considering Spatial and Temporal Correlations in Support Vector Machine” Transportation Research Board 98th Annual Meeting. No. 19-03963. 2019.
9. Liu C, Deng F, Jiang Y, Pu Z, Wang Y*. “View Independent Vehicle Model Recognition Using Semantic Segmentation and Image Retrieval.” Transportation Research Board 98th Annual Meeting. No. 19-03448. 2019.
10. Jiang Y, Pu Z, Wang Y, Liu C, Zhang J*. “Capturing Young People’s Ownership Behavior of Autonomous Vehicles Based on a Comparative Analysis in Japan” Transportation Research Board 98th Annual Meeting. No. 19-05888. 2019.
11. Zeng Z, Ash J, Pu Z, Zhuang Y, Wang Y*. “A Framework of a V2X Communication System for Enhancing Vehicle and Pedestrian Safety at Un-signalized Intersections.” Transportation Research Board 97th Annual Meeting. No. 18-03707. 2018.
12. Li Z, Pu Z, Wang Y*, Zhu W, Chen Z, Wu H. “Evaluating the Correlation between Vertical Curve Features and Crash Rates on Highways.” Transportation Research Board 96th Annual Meeting. No. 17-06725. 2017.
13. Ke R, Pan Z, Pu Z, Wang Y*. “Roadway surveillance video camera calibration using standard shipping container.” Smart Cities Conference (ISC2). 2017 International. IEEE. 2017.
14. Zhu W, Zeng Z, Wang Y*, Pu Z. “Predicting Incident Duration based on Spatiotemporal Heterogeneous Pattern Recognition.” Transportation Research Board 96th Annual Meeting. No. 17-06787. 2017.
15. Zhu W, Wright B, Li Z, Wang Y*, Pu Z. “Analyzing the Impact of Grade on Fuel Consumption for the National Interstate Highway System.” Transportation Research Board 95th Annual Meeting. No. 16-6999. 2016.

Research Interests

• Reliability-based geotechnical design (RBGD) for soft soils
• Ground improvement design
• Piled foundation design
• Deep excavation and retaining structures
• Railway embankment design
• Slope stability assessment; 2D and 3D finite element modelling
• Back-analysis of secondary consolidation and post-construction settlement
• Application of artificial intelligence and simulation neural networks to soft soils engineering

RESEARCH PROJECTS

• ARC Federal Grant – AI & Simulation Neural Networks in Soft Soils Engineering (2023–2027)
• IMCRC Federal Grant – Soft Soils AI Applications (2021–2022)
• CSIRO Federal Grant - Towards a natural disaster resilient ‘net zero future’ in Queensland (2025-2028)

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EXTERNAL GRANT

• Impact of Artificial Intelligence and Simulation Neural Networks on Soft Soils Engineering, School of Engineering and Built Environment, 01 Jan 2023 - 31 Dec 2026, Australian Research Council (ARC).
• AI-driven Simulation Approaches for Soft Soils Engineering, School of Engineering and Built Environment, 01 Jan 2021 - 31 Dec 2022, Innovative Manufacturing CRC (IMCRC).