Amir H. Behzadan 
- (2021): A feedforward neural network for drone accident prediction from physiological signals. In: Smart and Sustainable Built Environment, v. 11, n. 4 (August 2021).
- (2024): A Roadmap to the Next-Generation Technology-Enabled Learning-Centered Environments in AEC Education. In: Journal of Civil Engineering Education, v. 150, n. 3 (July 2024).
- (2023): Mapping of 2021–2022 floods in North America from street photos with artificial intelligence. In: Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction, v. 176, n. 4 (1 December 2023).
- (2023): A Probabilistic Crowd–AI Framework for Reducing Uncertainty in Postdisaster Building Damage Assessment. In: Journal of Engineering Mechanics (ASCE), v. 149, n. 9 (September 2023).
- (2022): Uncertainty‐aware convolutional neural network for explainable artificial intelligence‐assisted disaster damage assessment. In: Structural Control and Health Monitoring, v. 29, n. 10 (13 September 2022).
- (2021): Core Competencies for Construction Project Management: Literature Review and Content Analysis. In: Journal of Civil Engineering Education, v. 147, n. 4 (October 2021).
- (2019): Single- and multi-label classification of construction objects using deep transfer learning methods. In: Journal of Information Technology in Construction, v. 24 (February 2019).
- (2021): Detection and Semantic Segmentation of Disaster Damage in UAV Footage. In: Journal of Computing in Civil Engineering, v. 35, n. 2 (March 2021).
- (2021): Physiological Data Models to Understand the Effectiveness of Drone Operation Training in Immersive Virtual Reality. In: Journal of Computing in Civil Engineering, v. 35, n. 1 (January 2021).
- (2020): Deep Convolutional Networks for Construction Object Detection Under Different Visual Conditions. In: Frontiers in Built Environment, v. 6 (January 2020).
- (2020): Automated Methods for Activity Recognition of Construction Workers and Equipment: State-of-the-Art Review. In: Journal of Construction Engineering and Management, v. 146, n. 6 (June 2020).
- (2020): Deep learning for site safety: Real-time detection of personal protective equipment. In: Automation in Construction, v. 112 (April 2020).
- (2015): Design and Assessment of a Mobile Augmented Reality-Based Information Delivery Tool for Construction and Civil Engineering Curriculum. In: Journal of Professional Issues in Engineering Education and Practice, v. 141, n. 3 (July 2015).
- (2009): Automated Generation of Operations Level Construction Animations in Outdoor Augmented Reality. In: Journal of Computing in Civil Engineering, v. 23, n. 6 (November 2009).
- (2007): Georeferenced Registration of Construction Graphics in Mobile Outdoor Augmented Reality. In: Journal of Computing in Civil Engineering, v. 21, n. 4 (July 2007).
- (2016): Visualization, Information Modeling, and Simulation: Grand Challenges in the Construction Industry. In: Journal of Computing in Civil Engineering, v. 30, n. 6 (November 2016).
- (2014): Mechanical characterization of asphalt tear-off roofing shingles in Hot Mix Asphalt. In: Construction and Building Materials, v. 50 (January 2014).
- (2013): Knowledge-Based Simulation Modeling of Construction Fleet Operations Using Multimodal-Process Data Mining. In: Journal of Construction Engineering and Management, v. 139, n. 11 (November 2013).
- (2010): Scalable Algorithm for Resolving Incorrect Occlusion in Dynamic Augmented Reality Engineering Environments. In: Computer-Aided Civil and Infrastructure Engineering, v. 25, n. 1 (January 2010).
- (2013): Enabling discovery‐based learning in construction using telepresent augmented reality. In: Automation in Construction, v. 33 (August 2013).
- (2014): Evaluation of queuing systems for knowledge-based simulation of construction processes. In: Automation in Construction, v. 47 (November 2014).
- (2016): Smartphone-based construction workers' activity recognition and classification. In: Automation in Construction, v. 71 (November 2016).
- (2008): Ubiquitous location tracking for context-specific information delivery on construction sites. In: Automation in Construction, v. 17, n. 6 (August 2008).
- (2018): Chaos Theory–Inspired Evolutionary Method to Refine Imperfect Sensor Data for Data-Driven Construction Simulation. In: Journal of Construction Engineering and Management, v. 144, n. 3 (March 2018).
- (2018): Risk Behavior-Based Trajectory Prediction for Construction Site Safety Monitoring. In: Journal of Construction Engineering and Management, v. 144, n. 2 (February 2018).
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