PUBLICATIONS

Last Updated Date: 24-Sept-2021

For most recent updates see Here

Books

B1. Houtan Jebelli, Mahmoud Habibnezhad, Shayan Shayesteh, Somayeh Asadi, and S. Lee, 2021, Automation and Robotics in the Architecture, Engineering, and Construction Industry, Springer.

Link to the book via Springer: https://www.springer.com/gp/book/9783030771621

B2. Morteza Nazari-Heris, Somayeh Asadi, Behnam Mohammadi-Ivatloo, Moloud Abdar, Houtan Jebelli, and Milad Sadat-Mohammadi, 2021, Application of Machine Learning and Deep Learning Methods to Power System Problems (Power Systems) 1st ed, Springer.

Link to the book via Springer: https://www.springer.com/gp/book/9783030776954

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

J31. M Nazari-Heris, MA Mirzaei, S Asadi, B Mohammadi-Ivatloo, K Zare, H Jebelli (2021). “A hybrid robust-stochastic optimization framework for optimal energy management of electric vehicles parking lots,” Journal of Sustainable Energy Technologies and Assessments, 47, 10.1016/j.seta.2021.101467.

J30. M Sadat-Mohammadi, S Shakerian, Y Liu, S Asadi, H Jebelli (2021). “Non-invasive physical demand assessment using wearable respiration sensor and random forest classifier,” Journal of Building Engineering, 44, 10.1016/j.jobe.2021.103279.

J29. S Shakerian, M Habibnezhad, A Ojha, G Lee, Y Liu, H Jebelli, SH Lee (2021). “Assessing occupational risk of heat stress at construction: A worker-centric wearable sensor-based approach,” Journal of Safety Science, 142, 10.1016/j.ssci.2021.105395.

J28. Y Liu, M Habibnezhad, S Shayesteh, H Jebelli, SH Lee (2021). “Paving the Way for Future EEG Studies in Construction: Dependent Component Analysis for Automatic Ocular Artifact Removal from Brainwave Signals,” Journal of Construction Engineering and Management, 147, 10.1061/(ASCE)CO.1943-7862.0002097.

J27. G Leei, B Choi, H Jebelli, S Lee (2021). “Assessment of construction workers’ perceived risk using physiological data from wearable sensors: A machine learning approach,” Journal of Building Engineering, 10.1016/j.jobe.2021.102824.

J26. Y Liu, M Habibnezhad, H Jebelli (2021). “Brainwave-driven human-robot collaboration in construction,” Journal of Automation in Construction, 124, 10.1016/j.autcon.2021.103556.

J25. Y Liu, M Habibnezhad, H Jebelli (2021). “Brain-computer interface for hands-free teleoperation of construction robots,” Journal of Automation in Construction, 123, 10.1016/j.autcon.2020.103523.

J24. M Habibnezhad, S Shayesteh, H Jebelli, J Puckett, T Stentz (2021). “Comparison of ironworker's fall risk assessment systems using an immersive biofeedback simulator,” Journal of Automation in Construction, 122, 10.1016/j.autcon.2020.103471.

J23. M Nazari-Heris, MA Mirzaei, S Asadi, B Mohammadi-Ivatloo, K Zare, H Jebelli, M Marzband (2020). “Evaluation of hydrogen storage technology in risk-constrained stochastic scheduling of multi-carrier energy systems considering power, gas and heating network constraints,” Journal of Hydrogen Energy, 45(55), 30129-30141.

J22. M Sadat-Mohammadi, M Nazari-Heris, E Nazerfard, M Abedi, S Asadi, H Jebelli (2020). “Intelligent approach for residential load scheduling,” Journal of IET Generation, Transmission & Distribution, 14(21), 10.1049/iet-gtd.2020.0143.

J21. Lee, G., Choi, B., Jebelli, J., Ahn, C.R., Lee, S. (2020). “Noise Reference Signal–Based Denoising Method for EDA Collected by Multimodal Biosensor Wearable in the Field,” Journal of Computing in Civil Engineering, ASCE, 34(6), 04020044.

J20. Jebelli, H., Seo, J., Hwang, S., Lee, S. (2020). “Physiology-based dynamic muscle fatigue model for upper limbs during construction tasks,” International Journal of Industrial Ergonomics 78, 102984.

J19. Habibnezhad, M., Puckett, J., Jebelli, H., Karji, A., Fardhosseini, M.S., Asadi, S. (2020). “Neurophysiological testing for assessing construction workers' task performance at virtual height,” Journal of Automation in Construction 113, 103143.

J18. Sadat-Mohammadi, M., Asadi, S., Habibnezhad, M., Jebelli, H. (2020). “Robust scheduling of multi-chiller system with chilled-water storage under hourly electricity pricing,” Journal of Energy and Buildings, 110058.

J17. Lee, G., Choi, B., Jebelli, H., Ahn, C.R., Lee, S. (2020). “Wearable Biosensor and Collective Sensing–Based Approach for Detecting Older Adults’ Environmental Barriers,” Journal of Computing in Civil Engineering 34 (2), 04020002.

J16. 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.

J15. 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.

J14. Ahn, C.R., Lee, S., Sun, C., Jebelli, H., Yang, K., Choi, B. (2019). “Wearable sensing technology applications in construction safety and health,” Journal of Construction Engineering and Management 145 (11), 03119007.

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., Lee, S. (2019). “Feasibility Analysis of Electrodermal Activity (EDA) Acquired from Wearable Sensors to Assess Construction Workers’ Perceived Risk,” Safety Science, Elsevier, 115, 110-120.

J11. Jebelli, H., Khalili, M., and Lee, (2018). “A Continuously Updated, Computationally Efficient Stress Recognition Framework Using Electroencephalogram (EEG) by Applying Online Multi-Task Learning Algorithms (OMTL),” IEEE journal of biomedical and health informatics.

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 93, 315-324.

J8. Hwang, S., Jebelli, H., Choi, B., Choi, M., and Lee, S. (2018). “Measuring workers’ emotional state during construction tasks using wearable EEG,” Journal of Construction Engineering and Management 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). “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

C36. Liu, Y., and Jebelli, H. (2021). "Human-Robot Co-adaptation in Construction: Bio-signal based Control of Bricklaying Robots," 2021 International Conference on Computing in Civil Engineering (i3CE), Orlando, Florida, U.S. (accepted).

C35. Liu, Y., Habibnezhad, M., Jebelli, H., and Monga, V. (2021). "Worker-in-the-Loop Cyber-Physical System for Safe Human-Robot Collaboration in Construction," 2021 International Conference on Computing in Civil Engineering (i3CE), Orlando, Florida, U.S. (accepted).

C34. Shayesteh. S., and Jebelli, H. (2021). "Feasibility of Virtual Avatar Simulator for Human-robot Collaboration Training in Construction," 2021 International Conference on Computing in Civil Engineering (I3CE 2021), Orlando, FL, U.S. (accepted).

C33. Ojha, A., Liu, Y., Shayesteh, S., and Jebelli, H. (2021). "Feasibility of an Affordable Unmanned Ground Vehicle for Automated Fall Hazard Detection in Indoor Construction Environments," 2021 International Conference on Computing in Civil Engineering (i3CE), Orlando, Florida, U.S. (accepted).

C32. Shakerian, S., Ojha, A., Jebelli, H., and Sitzabee, W., (2021). "Investigating the Potentials of Operational Data Collected from Facilities' Embedded Sensors for Early Detection of HVAC Systems' Failures," 2021 International Conference on Computing in Civil Engineering (i3CE), Orlando, Florida, U.S. (accepted).

C31. Shakerian, S., Jebelli, H., and Sitzabee, W., (2021). "Improving the Prediction Accuracy of Data-Driven Fault Diagnosis for HVAC Systems by Applying Synthetic Minority Oversampling Technique," 2021 International Conference on Computing in Civil Engineering (i3CE), Orlando, Florida, U.S. (accepted).

C30. Shayesteh, S. and Jebelli, H. (2021). "Investigating the Impact of Construction Robots' Automation Level on Workers' Cognitive Load," 2021 Canadian Society for Civil Engineering (CSCE), Montreal, Quebec.

C29. Ojha, A., Jebelli, H., and Sharifironizi, M., (2021). "Feasibility of Wearable Physiological Sensing Technologies for Understanding Engagement of Students in Construction Safety Education in Distance Learning" 2021 Canadian Society for Civil Engineering (CSCE), Montreal, Quebec.

C28. Ojha, A., Habibnezhad, M., and Jebelli, H. (2021). "Feasibility Verification of Multimodal Wearable Sensing System for Holistic Health Monitoring of Construction Workers" 2021 Canadian Society for Civil Engineering (CSCE), Montreal, Quebec.

C27. Liu, Y., and Jebelli, H. (2021). "Generative Adversarial Network-based Approach to Increase the Spatial Resolution of EEG Signals at Construction Sites" 2021 Canadian Society for Civil Engineering (CSCE), Montreal, Quebec.

C26. M Habibnezhad, S Shayesteh, Y Liu, MS Fardhosseini, H Jebelli (2020). “The Architecture of an Intelligent Digital Twin for a Cyber-Physical Route-Finding System in Smart Cities,” The 8th International Conference on Construction Engineering and Project Managemen, Hong Kong, China.

C25. S Hwang, H Jebelli, S Lee, S Chung, SH Lee (2020). “Measurement of Individuals’ Emotional Stress Responses to Construction Noise through Analysis of Human Brain Waves,” The 8th International Conference on Construction Engineering and Project Managemen, Hong Kong, China.

C24. G Lee, H Jebelli, SH Lee (2020). “Online Multi-Task Learning and Wearable Biosensor-based Detection of Multiple Seniors’ Stress in Daily Interaction with the Urban Environment,” The 8th International Conference on Construction Engineering and Project Managemen, Hong Kong, China.

C23. A Ojha, J Seagers, S Shayesteh, M Habibnezhad, H Jebelli (2020). “Construction Safety Training Methods and their Evaluation Approaches: A Systematic Literature Review,” The 8th International Conference on Construction Engineering and Project Managemen, Hong Kong, China.

C22. MS Fardhosseini, M Habibnezhad, H Jebelli, G Migliaccio, HW Lee, J Puckett (2020). “Recognition of Construction Workers’ Physical Fatigue Based on Gait Patterns Driven from Three-Axis Accelerometer Embedded in a Smartphone,” Construction Research Congress 2020 (ASCE), Tempe, Arizona, U.S.

C21. D Kim, H Jebelli, SH Lee, VR Kamat (2020). “Enhancing Deep Neural Network-Based Trajectory Prediction: Fine-Tuning and Inherent Movement-Driven Post-Processing,” Construction Research Congress 2020 (ASCE), Tempe, Arizona, U.S.

C20. LA Pratama, MS Fardhosseini, CS Dossick, M Habibnezhad, H Jebelli, HW Lee (2020). “BIM-GIS implementation for rebuilding after disaster: a critical evaluation,” 37th International Conference of CIB W78, Sao Paulo, Brazil.

C19. Ojha, A., Shakerian, S., Habibnezhad, M., Jebelli, H., Lee, S., Fardhosseini, M.S. (2020). “Feasibility of Using Physiological Signals from a Wearable Biosensor to Monitor Dehydration of Construction Workers,” Creative Construction e-Conference 2020, Opatija, Croatia.

C18. Sadat-mohammadi, M., Nazari-heris, M., Asadi, S., Jebelli, H. (2020). “An Incentive-Based Vehicle to Grid Service in Electrical Energy Networks Considering the Effect of Battery Degradation Cost,” Construction Research Congress 2020 (ASCE), Tempe, Arizona, U.S.

C17. Nazari-heris, M., Sadat-mohammadi, M., Amin, M., Asadi, S., Jebelli, H. (2020). “Robust Energy Management of Integrated Power Infrastructure and Gas Networks with High Penetration of Renewable Energy Sources,” Construction Research Congress 2020 (ASCE), Tempe, Arizona, U.S.

C16. Liu, Y., Habibnezhad, M., Jebelli, H., Asadi, S., Lee, S. (2020). “Ocular Artifacts Reduction in EEG Signals Acquired at Construction Sites by Applying a Dependent Component Analysis (DCA),” Construction Research Congress 2020 (ASCE), Tempe, Arizona, U.S.

C15. Jebelli, H., Habibnezhad, M., Khalili, M.M., Fardhosseini, M.S., Lee, S. (2020). “Multi-level Assessment of Occupational Stress in the Field Using a Wearable EEG Headset,” Construction Research Congress 2020, Tempe, Arizona, U.S.

C14. Fardhosseini, M.S., Habibnezhad, M., Jebelli, H., Migliaccio, G., Lee, H.W., Puckett, J. (2020). “Recognition of Construction Workers’ Physical Fatigue Based on Gait Patterns Driven from Three-axis Accelerometer Embedded in a Smartphone,” Construction Research Congress 2020, Tempe, Arizona, U.S.

C13. Fardhosseini, M.S., Karji, A., Dossick, C.S., Woo, L.H., Jebelli, H., Beatty, S. (2020). “The Cost-Effectiveness of Integrating Digital Fabrication for Concrete Formworks,” Construction Research Congress 2020 (ASCE), Tempe, Arizona, U.S.

C12. 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.

C11. 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.

C10. Choi, B., Lee, G., Jebelli, H., Lee, S. (2019). “Assessing Workers Perceived Risk During Construction Task Using A Wristband-Type Biosensor,” 2019 Creative Construction Conference (CCC), Budapest, Hungary.

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.