Behzadan, Amir
individual record
Professor
Positions:
- Professor, Construction Science, School of Architecture
overview
Artificial Intelligence (AI), Machine Learning (ML), Built Environment Informatics, Urban Computing, Disaster Resilience, Future of Work, Construction Safety.
education and training
- Ph.D. in Civil Engineering, University of Michigan-Ann Arbor - (Ann Arbor, Michigan, United States) 2008
selected publications
Academic Articles51
- Pi, Y., Duffield, N., Behzadan, A., & Lomax, T. (2023). Lane-specific speed analysis in urban work zones with computer vision.. Traffic Inj Prev. ahead-of-print(3), 1-9.
- Yadav, M., Sakib, M. N., Nirjhar, E. H., Feng, K., Behzadan, A. H., & Chaspari, T. (2022). Exploring Individual Differences of Public Speaking Anxiety in Real-Life and Virtual Presentations. IEEE TRANSACTIONS ON AFFECTIVE COMPUTING. 13(3), 1168-1182.
- Alizadeh, B., Li, D., Hillin, J., Meyer, M. A., Thompson, C. M., Zhang, Z., & Behzadan, A. H. (2022). Human-centered flood mapping and intelligent routing through augmenting flood gauge data with crowdsourced street photos. ADVANCED ENGINEERING INFORMATICS. 54, 101730-101730.
- Nath, N. D., Cheng, C., & Behzadan, A. H. (2022). Reinforcement Learning for Active Monitoring of Moving Equipment in 360-Degree Videos. Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering.
- Sakib, M. N., Chaspari, T., & Behzadan, A. H. (2022). A feedforward neural network for drone accident prediction from physiological signals. SMART AND SUSTAINABLE BUILT ENVIRONMENT. 11(4), 1017-1041.
Chapters5
- Moreira, L., Ruschel, R. C., & Behzadan, A. H. (2023). Augmented Reality for Building Maintenance and Operation. Springer Handbook of Augmented Reality. 495-532. Springer Nature.
- Behzadan, A. H., Nath, N. D., & Akhavian, R. (2022). Artificial Intelligence in the Construction Industry. Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure. 348-379. Taylor & Francis.
- Radkowski, R., Karabulut-Ilgu, A., Turkan, Y., Behzadan, A., & Chen, A. n. (2018). Guiding or Exploring? Finding the Right Way to Teach Students Structural Analysis with Augmented Reality. Virtual, Augmented and Mixed Reality: Interaction, Navigation, Visualization, Embodiment, and Simulation. 452-461. Springer Nature.
- Behzadan, A., Dong, S., & Kamat, V. (2015). Recent Advances in Augmented Reality for Architecture, Engineering, and Construction Applications. Fundamentals of Wearable Computers and Augmented Reality. 331-398. Taylor & Francis.
- Behzadan, A. H., Dong, S., & Kamat, V. R. (2012). Mobile and Pervasive Construction Visualization Using Outdoor Augmented Reality. Mobile and Pervasive Computing in Construction. 54-85. Wiley.
Conference Papers49
- Cheng, C., Behzadan, A. H., & Noshadravan, A. (2022). Exploring the Generalizability of Deep Convolutional Neural Networks for Post-Hurricane Damage Assessment. Lifelines 2022, Lifelines 2022. 577-585.
- Alizadeh, B., & Behzadan, A. H. (2022). Blupix. Proceedings of the 5th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities, Proceedings of the 5th ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities. 16-19.
- Nirjhar, E. H., Sakib, M. N., Hagen, E., Rani, N., Chu, S. L., Arthur, W. J., Behzadan, A. H., & Chaspari, T. (2022). Investigating the Interplay Between Self-Reported and Bio-Behavioral Measures of Stress: A Pilot Study of Civilian Job Interviews with Military Veterans. 2022 10TH INTERNATIONAL CONFERENCE ON AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION (ACII), 2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII). 00, 1-8.
- Alizadeh, B., & Behzadan, A. (2022). Crowdsourced-based deep convolutional networks for urban flood depth mapping. Proceedings of the 2022 European Conference on Computing in Construction, Proceedings of the 2022 European Conference on Computing in Construction. 3,
- Behzadan, A. H., Ergan, S., Dai, F., Du, J., & Akhavian, R. (2022). A Review of Research-to-Practice Drivers and Barriers in Visualization, Information Modeling, and Simulation. Computing in Civil Engineering 2021, Computing in Civil Engineering 2021. 1367-1375.
Repository Documents / Preprints3
- Alizadeh, B., & Behzadan, A. H. (2022). Crowdsourced-based Deep Convolutional Networks for Urban Flood Depth Mapping.
- Alizadeh, B., Li, D., Zhang, Z., & Behzadan, A. H. (2021). Feasibility study of urban flood mapping using traffic signs for route optimization.
- Feng, K., Zanwar, P., Behzadan, A. H., & Chaspari, T. (2020). Exploring Speech Cues in Web-mined COVID-19 Conversational Vlogs.
researcher on
Principal Investigator3
Co-Principal Investigator2
recent teaching activities
- ARCH691 Research Instructor
- ARCH691 Research: In-ab Instructor
- COSC601 Construction Practices Instructor
- COSC681 Seminar Instructor
- COSC685 Directed Studies Instructor
Email
abehzadan@tamu.edu
First Name
Amir
Last Name
Behzadan
mailing address
Texas A&M University; Construction Science; 3137 TAMU
College Station, TX 77843-3137
USA