HR job title
- Professor
- Contact Info
Behzadan, Amir Professor
Positions
- Professor, Construction Science, School of Architecture
Artificial Intelligence (AI), Machine Learning (ML), Built Environment Informatics, Urban Computing, Disaster Resilience, Future of Work, Construction Safety.
- Overview
- Publications
- Research
- Teaching
- Background
- Contact
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Overview
Publications
selected publications
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academic article
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Pi, Y., Duffield, N., Behzadan, A., & Lomax, T.
(2023).
Lane-specific speed analysis in urban work zones with computer vision. Traffic Injury Prevention.
24(3), 242-250.
-
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.
-
Pi, Y., Duffield, N., Behzadan, A. H., & Lomax, T.
(2022).
Visual recognition for urban traffic data retrieval and analysis in major events using convolutional neural networks. Computational Urban Science.
2(1), 2.
-
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.
-
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.
-
Cheng, C., Behzadan, A. H., & Noshadravan, A.
(2022).
Uncertainty-aware convolutional neural network for explainable artificial intelligence-assisted disaster damage assessment. Structural Control and Health Monitoring.
29(10),
-
Nath, N. D., Cheng, C., & Behzadan, A. H.
(2022).
Drone mapping of damage information in GPS-Denied disaster sites. 51, 101450-101450.
-
Pariafsai, F., & Behzadan, A. H.
(2021).
Core Competencies for Construction Project Management: Literature Review and Content Analysis. Journal of Civil Engineering Education.
147(4), 04021010.
-
Pi, Y., Nath, N. D., Sampathkumar, S., & Behzadan, A. H.
(2021).
Deep Learning for Visual Analytics of the Spread of COVID-19 Infection in Crowded Urban Environments. Natural Hazards Review.
22(3),
-
Kharazi, B. A., & Behzadan, A. H.
(2021).
Flood depth mapping in street photos with image processing and deep neural networks. 88, 101628-101628.
-
Cheng, C., Behzadan, A. H., & Noshadravan, A.
(2021).
Deep learning for post-hurricane aerial damage assessment of buildings. Computer-Aided Civil and Infrastructure Engineering.
36(6), 695-710.
-
Pi, Y., Nath, N. D., & Behzadan, A. H.
(2021).
Detection and Semantic Segmentation of Disaster Damage in UAV Footage. Journal of Computing in Civil Engineering.
35(2),
-
Ghorbani, Z., & Behzadan, A. H.
(2021).
Monitoring offshore oil pollution using multi-class convolutional neural networks. Environmental Pollution.
289, 117884-117884.
-
Sakib, M. N., Chaspari, T., & Behzadan, A. H.
(2021).
Physiological Data Models to Understand the Effectiveness of Drone Operation Training in Immersive Virtual Reality. Journal of Computing in Civil Engineering.
35(1),
-
Feng, K., Zanwar, P., Behzadan, A. H., & Chaspari, T.
(2020).
Exploring Speech Cues in Web-mined COVID-19 Conversational Vlogs. 27-31.
-
Nath, N. D., & Behzadan, A. H.
(2020).
Deep Convolutional Networks for Construction Object Detection Under Different Visual Conditions. 6, 97.
-
Vassigh, S., Davis, D., Behzadan, A. H., Mostafavi, A., Rashid, K., Alhaffar, H., Elias, A., & Gallardo, G.
(2020).
Teaching Building Sciences in Immersive Environments: A Prototype Design, Implementation, and Assessment. International Journal of Construction Education and Research.
16(3), 180-196.
-
Asilian-Mahabadi, H., Khosravi, Y., Hassanzadeh-Rangi, N., Hajizadeh, E., & Behzadan, A. H.
(2020).
Factors affecting unsafe behavior in construction projects: development and validation of a new questionnaire. 26(2), 219-226.
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Sherafat, B., Ahn, C. R., Akhavian, R., Behzadan, A. H., Golparvar-Fard, M., Kim, H., ... Azar, E. R.
(2020).
Automated Methods for Activity Recognition of Construction Workers and Equipment: State-of-the-Art Review. Journal of construction engineering and management.
146(6), 03120002.
-
Nath, N. D., Behzadan, A. H., & Paal, S. G.
(2020).
Deep learning for site safety: Real-time detection of personal protective equipment. 112, 103085-103085.
-
Pi, Y., Nath, N. D., & Behzadan, A. H.
(2020).
Convolutional neural networks for object detection in aerial imagery for disaster response and recovery. 43, 101009-101009.
-
Nath, N. D., Chaspari, T., & Behzadan, A. H.
(2019).
SINGLE- AND MULTI-LABEL CLASSIFICATION OF CONSTRUCTION OBJECTS USING DEEP TRANSFER LEARNING METHODS. 24, 511-526.
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Asilian-Mahabadi, H., Khosravi, Y., Hassanzadeh-Rangi, N., Hajizadeh, E., & Behzadan, A. H.
(2018).
A qualitative investigation of factors influencing unsafe work behaviors on construction projects. Work.
61(2), 281-293.
-
Nath, N. D., Chaspari, T., & Behzadan, A. H.
(2018).
Automated ergonomic risk monitoring using body-mounted sensors and machine learning. Advanced Engineering Informatics.
38, 514-526.
-
Shrestha, P., & Behzadan, A. H.
(2018).
Chaos Theory-Inspired Evolutionary Method to Refine Imperfect Sensor Data for Data-Driven Construction Simulation. Journal of construction engineering and management.
144(3), 04018001.
-
Rashid, K. M., & Behzadan, A. H.
(2018).
Risk Behavior-Based Trajectory Prediction for Construction Site Safety Monitoring. Journal of construction engineering and management.
144(2), 04017106.
-
Turkan, Y., Radkowski, R., Karabulut-Ilgu, A., Behzadan, A. H., & Chen, A. n.
(2017).
Mobile augmented reality for teaching structural analysis. 34, 90-100.
-
Nath, N. D., Akhavian, R., & Behzadan, A. H.
(2017).
Ergonomic analysis of construction worker's body postures using wearable mobile sensors. 62, 107-117.
-
Behzadan, A. H., Vassign, S., & Mostafavi, A.
(2016).
Teaching millennials with augmented reality: cases from the U.S. education system. 7(4), 265-272.
-
Akhavian, R., & Behzadan, A. H.
(2016).
Smartphone-based construction workers' activity recognition and classification. Automation in Construction.
71(Part 2), 198-209.
-
Leite, F., Cho, Y., Behzadan, A. H., Lee, S., Choe, S., Fang, Y., Akhavian, R., & Hwang, S.
(2016).
Visualization, Information Modeling, and Simulation: Grand Challenges in the Construction Industry. Journal of Computing in Civil Engineering.
30(6), 04016035.
-
Akhavian, R., & Behzadan, A. H.
(2015).
Construction equipment activity recognition for simulation input modeling using mobile sensors and machine learning classifiers. 29(4), 867-877.
-
Shirazi, A., & Behzadan, A. H.
(2015).
Design and Assessment of a Mobile Augmented Reality-Based Information Delivery Tool for Construction and Civil Engineering Curriculum. Journal of Professional Issues in Engineering Education and Practice.
141(3), 04014012.
-
Behzadan, A. H., Dong, S., & Kamat, V. R.
(2015).
Augmented reality visualization: A review of civil infrastructure system applications. 29(2), 252-267.
-
Akhavian, R., & Behzadan, A. H.
(2014).
Evaluation of queuing systems for knowledge-based simulation of construction processes. Automation in Construction.
47, 37-49.
-
Akhavian, R., & Behzadan, A. H.
(2014).
Closure to "Knowledge-Based Simulation Modeling of Construction Fleet Operations Using Multimodal-Process Data Mining" by Reza Akhavian and Amir H. Behzadan. Journal of construction engineering and management.
140(10), 07014002.
-
Khosravi, Y., Asilian-Mahabadi, H., Hajizadeh, E., Hassanzadeh-Rangi, N., & Behzadan, A. H.
(2014).
Structural modeling of safety performance in construction industry. Iranian Journal of Public Health.
43(8), 1099-1106.
-
Vassigh, S., E Newman, W., Behzadan, A., Zhu, Y., Chen, S., & Graham, S.
(2014).
Collaborative Learning in Building Sciences Enabled by Augmented Reality. 2(2), 83-88.
-
Akhavian, R., & Behzadan, A. H.
(2014).
Erratum for Knowledge-Based Simulation Modeling of Construction Fleet Operations Using Multimodal-Process Data Mining by Reza Akhavian and Amir H. Behzadan. Journal of construction engineering and management.
140(2), 08013001.
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Khosravi, Y., Asilian-Mahabadi, H., Hajizadeh, E., Hassanzadeh-Rangi, N., Bastani, H., & Behzadan, A. H.
(2014).
Factors influencing unsafe behaviors and accidents on construction sites: a review. 20(1), 111-125.
-
Nam, B., Maherinia, H., & Behzadan, A. H.
(2014).
Mechanical characterization of asphalt tear-off roofing shingles in Hot Mix Asphalt. Construction and Building Materials.
50, 308-316.
-
Akhavian, R., & Behzadan, A. H.
(2013).
Knowledge-Based Simulation Modeling of Construction Fleet Operations Using Multimodal-Process Data Mining. 139(11), 04013021.
-
Behzadan, A. H., & Kamat, V. R.
(2013).
Enabling discovery-based learning in construction using telepresent augmented reality. Automation in Construction.
33, 3-10.
-
Dong, S., Behzadan, A. H., Chen, F., & Kamat, V. R.
(2013).
Collaborative visualization of engineering processes using tabletop augmented reality. Advances in Engineering Software.
55, 45-55.
-
Behzadan, A. H., & Kamat, V. R.
(2010).
Scalable Algorithm for Resolving Incorrect Occlusion in Dynamic Augmented Reality Engineering Environments. Computer-Aided Civil and Infrastructure Engineering.
25(1), 3-19.
-
Behzadan, A. H., & Kamat, V. R.
(2009).
Automated Generation of Operations Level Construction Animations in Outdoor Augmented Reality. Journal of Computing in Civil Engineering.
23(6), 405-417.
-
Behzadan, A. H., Aziz, Z., Anumba, C. J., & Kamat, V. R.
(2008).
Ubiquitous location tracking for context-specific information delivery on construction sites. 17(6), 737-748.
-
Behzadan, A. H., Timm, B. W., & Kamat, V. R.
(2008).
General-purpose modular hardware and software framework for mobile outdoor augmented reality applications in engineering. Advanced Engineering Informatics.
22(1), 90-105.
-
Behzadan, A. H., & Kamat, V. R.
(2007).
Georeferenced registration of construction graphics in mobile outdoor augmented reality. Journal of Computing in Civil Engineering.
21(4), 247-258.
-
Alizadeh Kharazi, B., & Behzadan, A. H.
AI-enabled flood mapping from street photos: the case of 2021-22 floods in U.S. and Canada. 1-13.
-
Nath, N. D., Cheng, C., & Behzadan, A. H.
Reinforcement Learning for Active Monitoring of Moving Equipment in 360-Degree Videos. 134-143.
-
Alizadeh, B., & Behzadan, A. H.
Scalable flood inundation mapping using deep convolutional networks and traffic signage. Computational Urban Science.
3(1), 17.
-
Pi, Y., Duffield, N., Behzadan, A., & Lomax, T.
(2023).
Lane-specific speed analysis in urban work zones with computer vision. Traffic Injury Prevention.
24(3), 242-250.
-
chapter
-
Moreira, L., Ruschel, R. C., & Behzadan, A. H.
(2023).
Augmented Reality for Building Maintenance and Operation. Springer Handbook of Augmented Reality.
(pp. 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.
(pp. 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. Lecture Notes in Computer Science.
Virtual, Augmented and Mixed Reality: Interaction, Navigation, Visualization, Embodiment, and Simulation.
(pp. 452-461).
Springer Nature.
-
Behzadan, A. H.
(2015).
Applications of Audio Augmented Reality: Wearware, Everyware, Anyware, and Awareware. Fundamentals of Wearable Computers and Augmented Reality.
(pp. 328-349).
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.
(pp. 54-85).
Wiley.
-
Moreira, L., Ruschel, R. C., & Behzadan, A. H.
(2023).
Augmented Reality for Building Maintenance and Operation. Springer Handbook of Augmented Reality.
(pp. 495-532).
Springer Nature.
-
conference paper
-
Cheng, C., Behzadan, A. H., & Noshadravan, A.
(2022).
Exploring the Generalizability of Deep Convolutional Neural Networks for Post-Hurricane Damage Assessment. 577-585.
-
Alizadeh, B., & Behzadan, A. H.
(2022).
Blupix. 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. International Conference on Affective Computing and Intelligent Interaction and workshops : [proceedings]. ACII (Conference).
1-8.
-
Alizadeh, B., & Behzadan, A.
(2022).
Crowdsourced-based deep convolutional networks for urban flood depth mapping
-
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. 1367-1375.
-
Cheng, C., Behzadan, A. H., & Noshadravan, A.
(2022).
Bayesian Inference for Uncertainty-Aware Post-Disaster Damage Assessment Using Artificial Intelligence. 156-163.
-
Pi, Y., Duffield, N., Behzadan, A. H., & Lomax, T.
(2022).
Computer Vision and Multi-Object Tracking for Traffic Measurement from Campus Monitoring Cameras. 950-958.
-
Nirjhar, E. H., Behzadan, A. H., & Chaspari, T.
(2021).
Knowledge- and Data-Driven Models of Multimodal Trajectories of Public Speaking Anxiety in Real and Virtual Settings. 712-716.
-
Nath, N., & Behzadan, A. H.
(2020).
DEEP GENERATIVE ADVERSARIAL NETWORK TO ENHANCE IMAGE QUALITY FOR FAST OBJECT DETECTION IN CONSTRUCTION SITES. 2447-2459.
-
Nath, N. D., & Behzadan, A. H.
(2020).
Deep Learning Detection of Personal Protective Equipment to Maintain Safety Compliance on Construction Sites. 181-190.
-
von Ebers, M., Nirjhar, E. H., Behzadan, A. H., & Chaspari, T.
(2020).
Predicting the Effectiveness of Systematic Desensitization Through Virtual Reality for Mitigating Public Speaking Anxiety. 670-674.
-
Ghorbani, Z., & Behzadan, A. H.
(2020).
Identification and Instance Segmentation of Oil Spills Using Deep Neural Networks
-
Nirjhar, E. H., Behzadan, A., & Chaspari, T.
(2020).
EXPLORING BIO-BEHAVIORAL SIGNAL TRAJECTORIES OF STATE ANXIETY DURING PUBLIC SPEAKING. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing / sponsored by the Institute of Electrical and Electronics Engineers Signal Processing Society. ICASSP (Conference).
1294-1298.
-
Feng, K., Yadav, M., Sakib, M. N., Behzadan, A., & Chaspari, T.
(2019).
Estimating Public Speaking Anxiety from Speech Signals Using Unsupervised Transfer Learning. 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).
1-5.
-
Nath, N. D., & Behzadan, A. H.
(2019).
Deep Learning Models for Content-Based Retrieval of Construction Visual Data. 66-73.
-
Yadav, M., Behzadan, A., & Chaspari, T.
(2019).
Speak Up! Studying the interplay of individual and contextual factors to physiological-based models of public speaking anxiety. 52-55.
-
Yadav, M., Sakib, N., Feng, K., Chaspari, T., & Behzadan, A.
(2019).
Virtual reality interfaces and population-specific models to mitigate public speaking anxiety. International Conference on Affective Computing and Intelligent Interaction and workshops : [proceedings]. ACII (Conference).
1-7.
-
Datta, S., & Behzadan, A. H.
(2018).
EVAQ: Person-Specific Large Crowd Evacuation Modeling. 8.
-
Chaspari, T., Metallinou, A., Duker, L., & Behzadan, A.
(2018).
Human-Habitat for Health (H3): Human-habitat Multimodal Interaction for Promoting Health and Well-being in the Internet of Things Era. 664-665.
-
Karabulut Ilgu, A., Miller, E., Yao, S., Wehr, D., Chen, A. n., Turkan, Y., Behzadan, A., & Jahren, C.
(2018).
Board 62: Usability of a Mobile Augmented Reality Application to Teach Structural Analysis
-
Shrestha, P., Nath, N. D., & Behzadan, A. H.
(2018).
An Exploratory Study of Sequence Alignment for Improved Sensor-Based Human Activity Recognition. 347-357.
-
Moreira, L. S., Ruschel, R. C., & Behzadan, A. H.
(2018).
Building Owner Manual Assisted by Augmented Reality: A Case from Brazil. 460-469.
-
Shrestha, P., & Behzadan, A. H.
(2017).
An Evolutionary Method to Refine Imperfect Sensor Data for Construction Simulation. 2460-2471.
-
Rashid, K. M., Datta, S., & Behzadan, A. H.
(2017).
COUPLING RISK ATTITUDE AND MOTION DATA MINING IN A PREEMTIVE CONSTRUCTION SAFETY FRAMEWORK. 2413-2424.
-
Nath, N. D., Shrestha, P., & Behzadan, A. H.
(2017).
HUMAN ACTIVITY RECOGNITION AND MOBILE SENSING FOR CONSTRUCTION SIMULATION. 2448-2459.
-
Nath, N. D., & Behzadan, A. H.
(2017).
Construction Productivity and Ergonomic Assessment Using Mobile Sensors and Machine Learning. 434-441.
-
Rashid, K. M., & Behzadan, A. H.
(2017).
Enhancing Motion Trajectory Prediction for Site Safety by Incorporating Attitude toward Risk. 425-433.
-
Asadi, E., Akhavian, R., & Behzadan, A. H.
(2016).
Women in Construction Workshop: Outreach to Female Students from Developing Countries. 130-139.
-
Akhavian, R., & Behzadan, A.
(2015).
WEARABLE SENSOR-BASED ACTIVITY RECOGNITION FOR DATA-DRIVEN SIMULATION OF CONSTRUCTION WORKERS' ACTIVITIES. 3333-3344.
-
Golestani, B., Maherinia, H., Nam, B. H., & Behzadan, A.
(2015).
Investigation on the Effects of Recycled Asphalt Shingle as an Additive to Hot-Mix Asphalt. 9-18.
-
Akhavian, R., & Behzadan, A. H.
(2014).
CONSTRUCTION ACTIVITY RECOGNITION FOR SIMULATION INPUT MODELING USING MACHINE LEARNING CLASSIFIERS. 3296-3307.
-
Akhavian, R., & Behzadan, A. H.
(2014).
Client-Server Interaction Knowledge Discovery for Operations-level Construction Simulation Using Process Data. 41-50.
-
Akhavian, R., & Behzadan, A. H.
(2013).
AUTOMATED KNOWLEDGE DISCOVERY AND DATA-DRIVEN SIMULATION MODEL GENERATION OF CONSTRUCTION OPERATIONS. 3030-3041.
-
Akhavian, R., & Behzadan, A. H.
(2013).
SIMULATION-BASED EVALUATION OF FUEL CONSUMPTION IN HEAVY CONSTRUCTION PROJECTS BY MONITORING EQUIPMENT IDLE TIMES. 3098-3108.
-
Shirazi, A., & Behzadan, A. H.
(2013).
TECHNOLOGY-ENHANCED LEARNING IN CONSTRUCTION EDUCATION USING MOBILE CONTEXT-AWARE AUGMENTED REALITY VISUAL SIMULATION. 3074-3085.
-
Lee, S., Behzadan, A., Kandil, A., & Mohamed, Y.
(2013).
Grand Challenges in Simulation for the Architecture, Engineering, Construction, and Facility Management Industries. 773-785.
-
Akhavian, R., & Behzadan, A. H.
(2012).
An integrated data collection and analysis framework for remote monitoring and planning of construction operations. Advanced Engineering Informatics.
749-761.
-
Zavichi, A., & Behzadan, A. H.
(2012).
Creating Automated Crane Work Plans Using Real Time Operational Data and Predictive Analysis. 321-330.
-
Akhavian, R., & Behzadan, A. H.
(2012).
Remote Monitoring of Dynamic Construction Processes Using Automated Equipment Tracking. 1360-1369.
-
Behzadan, A. H., Iqbal, A., & Kamat, V. R.
(2011).
A COLLABORATIVE AUGMENTED REALITY BASED MODELING ENVIRONMENT FOR CONSTRUCTION ENGINEERING AND MANAGEMENT EDUCATION. 3568-3576.
-
Zavichi, A., & Behzadan, A. H.
(2011).
A Real Time Decision Support System for Enhanced Crane Operations in Construction and Manufacturing. 586-593.
-
Behzadan, A. H., & Kamat, V. R.
(2009).
Interactive Augmented Reality Visualization for Improved Damage Prevention and Maintenance of Underground Infrastructure. 1214-1222.
-
Behzadan, A. H., & Kamat, V. R.
(2008).
SIMULATION AND VISUALIZATION OF TRAFFIC OPERATIONS IN AUGMENTED REALITY FOR IMPROVED PLANNING AND DESIGN OF ROAD CONSTRUCTION PROJECTS. 2447-2454.
-
Behzadan, A. H., & Kamat, V. R.
(2007).
Enabling Smooth and Scalable Dynamic 3D Visualization of Discrete-Event Construction Simulations in Outdoor Augmented Reality. 2168-2176.
-
Behzadan, A. H., & Kamat, V. R.
(2007).
Reusable Modular Software Interfaces for Outdoor Augmented Reality Applications in Engineering. 825-837.
-
Awwad, R., Behzadan, A., & Tsimhoni, O.
(2006).
Comparative analysis of process interaction and activity scanning approaches in simulation of construction operations. 2304-2304.
-
Behzadan, A. H., Khoury, H. M., & Kamat, V. R.
(2006).
Structure of an extensible augmented reality framework for visualization of simulated construction processes. 2055-+.
-
Kamat, V. R., & Behzadan, A. H.
(2006).
GPS and 3DOF tracking for georeferenced registration of construction graphics in outdoor augmented reality. Lecture Notes in Computer Science.
368-375.
-
Behzadan, A. H., & Kamat, V. R.
(2005).
Visualization of construction graphics in outdoor augmented reality. 1914-1920.
-
Cheng, C., Behzadan, A. H., & Noshadravan, A.
(2022).
Exploring the Generalizability of Deep Convolutional Neural Networks for Post-Hurricane Damage Assessment. 577-585.
-
institutional repository document
-
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
-
Alizadeh, B., & Behzadan, A. H.
(2022).
Crowdsourced-based Deep Convolutional Networks for Urban Flood Depth Mapping
Research
principal investigator on
- Collaborative Research: Transforming Teaching of Structural Analysis through Mobile Augmented Reality awarded by National Science Foundation - (Arlington, Virginia, United States) 2018 - 2020
- Real-time feedback-enabled simulation modeling of dynamic construction processes (ongoing awarded by National Science Foundation - (Arlington, Virginia, United States) 2017 - 2019
- Strategies for Learning: Augmented Reality and Collaborative Problem-Solving for Building Sciences awarded by National Science Foundation - (Arlington, Virginia, United States) 2017 - 2018
co-principal investigator on
- CHS: Medium: Collaborative Reearch: Bio-behavioral data analytics to enable personalized training of veterans for the future workforce awarded by Directorate for Computer & Information Science & Engineering - (Arlington, Virginia, United States) 2020 - 2023
- Planning Grant: Engineering Research Center for AI in Construction (AI-Con) awarded by National Science Foundation - (Arlington, Virginia, United States) 2019 - 2020
Teaching
teaching activities
- ARCH685 Directed Studies Instructor
- ARCH691 Research Instructor
- COSC601 Construction Practices Instructor
- COSC681 Seminar Instructor
- COSC685 Directed Studies Instructor
- COSC690 Thry Of Rsrch Const Mgmt Instructor
- COSC690 Thry Of Rsrch Const Sci Instructor
- COSC691 Research Instructor
- COSC693 Professional Study Instructor
- ITDE691 Research Instructor
Background
education and training
- Ph.D. in Civil Engineering, University of Michigan-Ann Arbor - (Ann Arbor, Michigan, United States) 2008
Contact
first name
- Amir
has last name
- Behzadan
mailing address
-
Texas A&M University
Construction Science
3137 TAMU
College Station, TX 77843-3137
USA
Other
- abehzadan@tamu.edu