Book Chapters
BC2. Houtan Jebelli and SangHyun Lee, 2019, Feasibility of Wearable Electromyography (EMG) to Assess Construction Workers’ Muscle Fatigue, Springer, pp. 181–187
BC1. Houtan Jebelli, Mohammad Mahdi Khalili and SangHyun Lee, 2019, Mobile EEG-based workers’ stress recognition by applying deep neural network, Springer, pp. 173–180
Refereed Journal Papers
J20. Habibnezhad. M., Puckett, J., Jebelli, H., and Asadi, S. (2019). “Implementation of Neurophysiological Test to Assess Construction Workers’ Task Performance at Virtual Height,” Automation in Construction, Elsevier (in review).
J19. Chung. S., Kim. D., Jebelli, H., and Lee, S. (2019). “Review of State-of-the-art Human-robot Collaboration and its Application to Construction,” Automation in Construction, Elsevier (in review).
J18. Sadat-Mohammadi, Nazari-Heris, M., Asadi, S., and Jebelli, H. (2019). “A Novel Approach for Intelligent Residential Load Scheduling Based on the Prediction of User Behavior,” Automation in Construction, Elsevier (in review).
J17. Jebelli, H., Seo. J., Hwang, S., and Lee, S. (2019). “Physiology-based Dynamic Upper Limp Muscle Fatigue Model for during Construction Tasks,” International Journal of Industrial Ergonomics, Elsevier (in review).
J16. Lee, G., Choi, B., Jebelli, H., Ahn, C., and Lee, S. (2019). “Wearable-based Collective Sensing to Detect Environmental Barriers for the Elderly’s Mobility” Journal of Computing in Civil Engineering, ASCE (accepted).
J15. Jebelli, H., Choi, B., and Lee, S. (2019). “Application of Wearable Biosensors in Construction Sites. Part II: Assessing Workers’ Physical Demand,” Journal of Construction Engineering and Management, ASCE, 145(12), 04019080.
J14. Jebelli, H., Choi, B., and Lee, S. (2019). “Application of Wearable Biosensors in Construction Sites. Part I: Assessing Workers’ Stress,” Journal of Construction Engineering and Management, ASCE, 145(12), p.04019079.
J13. Sun, C., Yang, K., Jebelli, H., Choi, B., Ahn, C., and Lee, S. (2019). “A Review of Wearable Sensing Technology Applications in Construction Safety and Health,” Journal of Construction Engineering and Management, ASCE, Sep 30, 145(12):04019079.
J12. Choi, B., Jebelli, H. and Lee, S. “Feasibility Analysis of Electrodermal Activity (EDA) Acquired from Wearable Sensors to Assess Construction Workers’ Perceived Risk, (2019).” Safety Science, Elsevier, 115, 110-120.
J11. Jebelli, H., Khalili, M., and Lee, (2018). “A Real-Time, Continuously Updated Stress Recognition Procedure Using Electroencephalogram (EEG) by Applying Online Multi-Task Learning Algorithms,” IEEE Journal of Biomedical and Health Informatics, IEEE (accepted).
J10. Ryu, J., Seo, J., Jebelli, H., and Lee, S. (2018). “Automated Action Recognition Using an Accelerometer-Embedded Wristband-Type Activity Tracker,” Journal of Construction Engineering and Management, ASCE, 145(1), 04018114.
J9. Jebelli, H., Hwang, S., and Lee, S. (2018) “EEG-based Workers’ Stress Recognition at Construction Sites,” Automation in Construction, Elsevier, 93,315-324.
J8. Hwang, S., Jebelli, H., Choi, B., Choi, M., and Lee, S. (2018). “Wearable EEG-based Workers’ Emotional State Measurement during Construction Tasks,” Journal of Construction Engineering and Management, ASCE, 144(7), 04018050.
J7. Kim, H., Ahn, C.R., and Stentz, L.S. Jebelli, H., and Moore, D.S. (2017). “Assessing the Effects of Slippery Steel Beam Coatings to Ironworkers’ Gait Stability,” Applied Ergonomics, Elsevier, 68, 72-79.
J6. Jebelli, H., Hwang, S., and Lee, S. (2017). “An EEG Signal Processing Framework to Obtain High-Quality Brain Waves from an Off-the-Shelf Wearable EEG Device,” Journal of Computing in Civil Engineering, ASCE, 32(1), 04017070.
J5. Hwang, S., Seo. J., Jebelli, H., and Lee, S. (2016). “Feasibility Analysis of Heart Rate Monitoring of Construction Workers Using a photoplethysmography (PPG) Sensor Embedded in a Wristband-Type Activity Tracker,” Automation in Construction, Elsevier, 2016, 21-32.
J4. Jebelli, H., Ahn, C.R., and Stentz. L.S. (2016). “Fall Risk Analysis of Construction Workers Using Inertial Measurement Units: Validating the Usefulness of the Postural Stability Metrics in Construction,” Safety Science, Elsevier, 84, 161-170.
J3. Jebelli, H., Ahn, C.R., and Stentz. L.S. (2015). “Comprehensive Fall-Risk Assessment of Construction Workers Using Inertial Measurement Units: Validation of the Gait-Stability Metric to Assess the Fall Risk of Iron Worker,” Journal of Computing in Civil Engineering, ASCE, 30(3), 4015034.
J2. Jebelli, H., Sharifironizi, M., Mazarei, V., Aflaki, E. (2014). “Using Neural Networks for the Prediction of Permeability in Rock for Derik Embankment Earth Dam,” Science Journal of Civil Engineering and Architecture, 2014 (1), 165.1-165.8.
J1. Jebelli, H., Mofid, E. (2013). “Effects of Using Low Yield Point Steel in Steel Plate Shear Wall,” The IES Journal Part A: Civil and Structural Engineering, Tylor & Francis, 7(1), 51-56.
Refereed Conference Papers
C20. Nazari-Heris, M., Sadat-Mohammadi, M., Asadi, S., Jebelli, H (2020). “Robust Energy Management of Integrated Power Infrastructure and Gas Networks with High Penetration of Renewable Energy Sources 2020 Construction Research Congress (CRC), Tempe, Arizona, U.S. (accepted).
C19. Sadat-Mohammadi, Nazari-Heris, M., Asadi, S., and Jebelli, H. (2020). “An Incentive-Based Vehicle to Grid Service in Electrical Energy Networks Considering the Effect of Battery Degradation Cost”, Tempe, Arizona, U.S. (accepted).
C18. Liu, Y., Jebelli, H., Asadi, S., and Lee, S. (2020). “Ocular Artifacts Reduction in EEG Signals by Applying a Dependent Component Analysis (DCA),” 2020 Construction Research Congress (CRC), Tempe, Arizona, U.S. (accepted).
C17. Jebelli, H., Khalili, M., Hwang, S., and Lee, S. (2020). “Multi-level Assessment of Occupational Stress in the Field Using a Wearable EEG Headset,” 2020 Construction Research Congress (CRC), Tempe, Arizona, U.S. (accepted).
C16. Daeho, K., Jebelli, H., Lee, S., and Kamat, V. (2020). “Enhancing Vision-based Proximity Prediction Performance for Struck-by Accident Prevention in Construction,” 2020 Construction Research Congress (CRC), Tempe, Arizona, U.S. (accepted).
C15. Lee G., Jebelli, H., Hwang, S., and Lee, S. (2020). “Online Multi-Task Learning and Wearable Biosensor-based Detection of Multiple Seniors’ Stress in Daily Trips,” 2020 Hawaii International Conference on System Sciences (HICSS), Tempe, Arizona, U.S. (accepted).
C14. Fardhosseini, S., Karji, A., Dossick, C., Lee, H., Jebelli, H., and Beaty, S. (2020). “The Cost-Effectiveness of Integrating Digital Fabrication for Concrete Formworks,” 2020 Construction Research Congress (CRC), Tempe, Arizona, U.S. (accepted).
C13. Fardhosseini, Habibnezhad, Jebelli, H., Migliaccio, G., Lee, H., and Puckett, J. (2020). “Recognition of Construction Workers’ Physical Fatigue Based on Three-axis Accelerometer Embedded in a Smartphone,” 2020 Construction Research Congress (CRC), Tempe, Arizona, U.S. (accepted).
C12. Hwang, S., Jebelli, H., Lee, S., Chung. S, and Lee, S. (2019). “Measuring Individual Stress from Construction Noises by Analyzing Human Brain Waves,” The 8th International Conference on Construction Engineering and Project Management (ICCEPM 2019), Hong Kong (accepted).
C11. Choi, B., Lee, G., Jebelli, H., and Lee, S. (2019). “Feasibility Study of a Wristband-type Wearable Sensor to Understand Construction Workers’ Physical and Mental Status,” 2019 Proceedings of the Creative Construction Conference (CCC 2019), Budapest, Hungary.
C10. Lee, G., Choi, B., Jebelli, H., Ahn, C., and Lee, S. (2019).“Capturing High-Quality Physiological Signals in the Field using a Wearable Sensor: An Approach to Eliminate Respiration Noise in Electrodermal Activity (EDA),” 2019 International Conference on Computing in Civil Engineering (i3CE), Atlanta, Georgia, U.S.
C9. Jebelli, H., Yang, K., Ahn, C.R., and Stentz. L.S. (2018). “Assessing the Effects of Tool-Loading Formation on Construction Workers’ Postural Stability,” 2018 Construction Research Congress (CRC), Baton Rouge, Louisiana, U.S.
C8. Jebelli, H., Khalili, M., Hwang, S., and Lee, S. (2018). “A Supervised Learning-based Construction Workers’ Stress Recognition Using a Wearable Electroencephalography (EEG) Device,” 2018 Construction Research Congress (CRC), Baton Rouge, Louisiana, U.S.
C7. Jebelli, H., Choi, B., Kim, H., and Lee, S. (2018). “Feasibility Study of a Wristband-type Wearable Sensor to Understand Construction Workers’ Physical and Mental Status,” 2018 Construction Research Congress (CRC), Baton Rouge, Louisiana, U.S.
C6. Lee, G., Choi, B., Jebelli, H., Ahn, C., and Lee, S. (2018). “Wearable Sensor-Based Detection of City Dwellers’ Discomfort in Urban Infrastructure,” 8th International Conference on the Constructed Environment and the Constructed Environment Research Network, Detroit, MI.
C5. Jebelli, H., Hwang, S., and Lee, S. (2017). “Field Measurement of Construction Workers’ Valence Using a Wearable EEG Device,” 2017 International Workshop on Computing in Civil Engineering (IWCCE 2017), Seattle, WA, U.S.
C4. Yang, K., Jebelli, H., Ahn, C.R., and Stentz. L.S. (2015). “Threshold-Based Approach to Detect Near-Miss Falls of Iron-Workers Using Inertial Measurement Units,” ASCE International Workshop on Computing in Civil Engineering, ASCE, Austin, TX, U.S.
C3. Jebelli, H., Ahn, C.R., and Stentz. L.S. (2014). “The Validation of Gait-Stability Metrics to Assess Construction Workers’ Fall Risk,” 2014 International Conference on Computing in Civil and Building Engineering (ICCCBE), ASCE, Orlando, FL, U.S.
C2. Mofid, M., Jebelli, H., Habibnezhad, M. (2013). “Assessing the Effect of Low Yield Steel on Energy Absorption of the Steel Plate Shear Walls under Lateral Loads Using Finite Element Method,” International Conference of Civil Engineering & Urban Sustainable Development, Tabriz, Iran.
C1. Khodaii, A., Jebelli, H., Mazarei, V. (2012). “Using Neural and Fuzzy-Neural Approaches in School Trip Distribution Modeling,” The 11th International Conference on Traffic and Transportation Engineering, Tehran, Iran.