Publications
] Any time Data Thinking Prototype for Construction Project Managers. (2021). at <https://purl.stanford.edu/xh802nt5533>
The Application of Blockchain-Based Crypto Assets for Integrating the Physical and Financial Supply Chains in the Construction & Engineering Industry. Automation in Construction (2021). at <https://doi.org/10.1016/j.autcon.2021.103711>
Automation of Inspection Mission Planning Using 4D BIMs and in Support of Unmanned Aerial Vehicle-Based Data Collection. ASCE Journal of Construction Engineering and Management (2021). at <https://doi.org/10.1061/(ASCE)CO.1943-7862.0001995>
Construction payment automation using blockchain-enabled smart contracts and robotic reality capture technologies. Automation in Construction 132, (2021).
Data-Driven Optimization of Building Layouts for Energy Efficiency. Energy & Buildings (2021).
Measuring the Impact of Blockchain and Smart Contract on Construction Supply Chain Visibility. (2021). at <http://arxiv.org/abs/2104.07532>
Role of Blockchain-Enabled Smart Contracts in Automating Construction Progress Payments. Journal of Legal Affairs and Dispute Resolution in Engineering and Construction 13/1, (2021).
Assessing the Effects of Failure Alerts on Transitions of Control from Autonomous Driving Systems. 2020 IEEE Intelligent Vehicles Symposium (2020).
Building Relationships: Using Embedded Plug Load Sensors for Occupant Network Inference. (2020). at <https://purl.stanford.edu/xf347zm5032>
A Comparative Study of the Ecosystems for Prefabrication in Europe and the US. (2020). at <https://purl.stanford.edu/nd313bm4284>
Improving Mobile Robot Navigation with Dynamic Building Information Models and Stochastic Neural Control. (2020). at <https://purl.stanford.edu/mx755tq2326>
Learning Socio-organizational Network Structure in Buildings with Ambient Sensing Data. (2020). at <https://purl.stanford.edu/ss773tz5948>
Machine Learning Hardware Case Study for Smart Buildings. (2020). at <https://purl.stanford.edu/rj953fk8222>
Is Too Much System Caution Counterproductive? Effects of Varying Sensitivity and Automation Levels in Vehicle Collision Avoidance Systems. 2020 ACM CHI Conference on Human Factors in Computing Systems (2020).
The Car That Cried Wolf: Driver Responses to Missing, Perfectly Performing, and Oversensitive Collision Avoidance Systems. 2019 IEEE Intelligent Vehicles Symposium (2019).
Community Investment: Improving Feedback Loops in Project Delivery with Participatory Technology. (2019). at <https://purl.stanford.edu/xh591zg2309>
Exploring Methods to Quantitatively Compare Optimization Techniques for Building Envelope Design. (2019). at <https://purl.stanford.edu/kt315yx6941>
Iterative Formalization of Smallest Workface Boundary for Generating Daily Bills of Materials. (2019). at <https://purl.stanford.edu/sf833vg3046>
A Preliminary Overview of Emerging Trends for Industrialized Construction in the United States. (2019). at <https://purl.stanford.edu/zh598fh8153>
Validating Computational Predictions of Natural Ventilation in Stanford’s Y2E2 Building. The 7th International Symposium on Computational Wind Engineering 2018 (2019). at <https://purl.stanford.edu/jq045vh4041>
4D Beyond Construction: Spatio-Temporal and Life-Cyclic Modeling and Visualization of Infrastructure Data. (2018). at <https://purl.stanford.edu/zk193gk2221>
Automated Development of As-Built and As-Is BIMs Using Computer Vision and UAV-Captured Reality. (2018). at <https://purl.stanford.edu/jr719nd4444>
Data-driven Urban Energy Simulation (DUE-S): A framework for integrating engineering simulation and machine learning methods in a multi-scale urban energy modeling workflow. Applied Energy 225 (2018) 1176-1189, (2018).
