
Books






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
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
Book Chapters












BC4. Liu, Y., Habibnezhad, M., & Jebelli, H. (2022). Worker-Aware Task Planning for Construction Robots: A Physiologically Based Communication Channel Interface. In Automation and Robotics in the Architecture, Engineering, and Construction Industry (pp. 181-200). Springer, Cham.
BC3. Shayesteh, S., Ojha, A., & Jebelli, H. (2022). Workers’ Trust in Collaborative Construction Robots: EEG-Based Trust Recognition in an Immersive Environment. In Automation and Robotics in the Architecture, Engineering, and Construction Industry (pp. 201-215). Springer, Cham.
BC2. Jebelli, H., & Lee, S. (2019). Feasibility of wearable electromyography (EMG) to assess construction workers’ muscle fatigue. In Advances in informatics and computing in civil and construction engineering (pp. 181-187). Springer, Cham.
BC1. Jebelli, H., Khalili, M. M., & Lee, S. (2019). Mobile EEG-based workers’ stress recognition by applying deep neural network. In Advances in informatics and computing in civil and construction engineering (pp. 173-180). Springer, Cham.
Refereed Journal Papers
































































































J32. Y Liu, A Ojha, S Shayesteh, H Jebelli, and S Lee. (2022). "Human-Centric Robotic Manipulation in Construction: Generative Adversarial Networks (GAN) based Physiological Computing Mechanism to Enable Robots to Perceive Workers' Cognitive Load," Canadian Journal of Civil Engineering,10.1139/cjce-2021-0646.
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.
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.
Refereed Conference Papers




































































































































C44. Ojha, A., Habibnezhad, M., Jebelli, H., and Leicht, R., (2022). “Barrier Analysis of Effective Implementation of Robotics in the Construction Industry,” Construction Research Congress 2022 (ASCE), Arlington, Virginia, U.S.
C43. Fardhosseinin, MS., Ojha, A., Habibnezhad, M., Jebelli, H., and Lee, HW., (2022). “An Optimal Resource Allocation Strategy for Retrofitting Unreinforced Masonry Buildings in the Pre-Disaster Stage,” Construction Research Congress 2022 (ASCE), Arlington, Virginia, U.S.
C42. Ojha, A., Habibnezhad, M., and Jebelli, H. (2022). “Feasibility of Embodied Virtual Agents for Augmenting Students’ Knowledge of Robotic Safety in Construction,” Construction Research Congress 2022 (ASCE), Arlington, Virginia, U.S.
C41. Liu, Y., and Jebelli, H. (2022). “Intention Estimation in Physical Human-Robot Interaction in Construction: Empowering Robots to Gauge Workers’ Posture,” Construction Research Congress 2022 (ASCE), Arlington, Virginia, U.S.
C40. Liu, Y., and Jebelli, H. (2022). “Worker-Aware Robotic Motion Planner in Construction for Improved Psychological Well-Being during Worker-Robot Interaction,” Construction Research Congress 2022 (ASCE), Arlington, Virginia, U.S.
C39. Shayesteh, S., and Jebelli, H. (2022). “Toward Human-in-the-Loop Construction Robotics: Understanding Workers’ Response through Trust Measurement during Human-Robot Collaboration,” Construction Research Congress 2022 (ASCE), Arlington, Virginia, U.S.
C38. Seagers, J., Liu, Y., and Jebelli, H. (2022). “Smart Robotic System to Fight the Spread of COVID-19 at Construction Sites,” Construction Research Congress 2022 (ASCE), Arlington, Virginia, U.S.
C37. Shayesteh, S., and Jebelli, H. (2022). “Enhanced Situational Awareness in Worker-Robot Interaction in Construction: Assessing the Role of Visual Cues,” Construction Research Congress 2022 (ASCE), Arlington, Virginia, U.S.
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.
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.
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.
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.
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.
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.
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). "Understanding Students’ Engagement in Learning Emerging Technologies of Construction Sector: Feasibility of Wearable Physiological Sensing System-Based Monitoring," 2021 Canadian Society for Civil Engineering (CSCE), Montreal, Quebec.
C28. Ojha, A., Shakerian, S., 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). "Enhanced Robotic Teleoperation in Construction Using a GAN-Based Physiological Signal Augmentation Framework," 2021 Canadian Society for Civil Engineering (CSCE), Montreal, Quebec.
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.
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.