Abbas Rashidi portrait
  • Assistant Professor, Civil And Environmental Engin
801-581-3155

Publications

  • Lee, Y. & Shariatfar, M., Rashidi, A., and Lee, H. W. (2020). Evidence-Driven Sound Event Detection Frameworks for the Prenotification and Rapid Identification of Construction Safety Hazard and Accidents. Journal of Automation in Construction. Vol. 113. Published, 05/01/2020.
    https://doi.org/10.1016/j.autcon.2020.103127
  • Sherafat, B., & Rashidi, A., and Song, S. (2020). An Innovative Software-Based Approach for Acoustical Modeling of Construction Job Sites with Multiple Operational Machines. Proceedings of the 2020 ASCE Construction Research Congress (CRC2020). Published, 03/08/2020.
  • Xiang, Z., & Ou, G. and Rashidi, A. (2020). An innovative approach to determine rebar depth and size by comparing GPR data with a theoretical database. Proceedings of the 2020 ASCE Construction Research Congress (CRC2020). Published, 03/08/2020.
  • Sabillon, C. & Rashidi, A., Samanta, B., Davenport, M. and Anderson, D. (2020). Audio-Based Bayesian Model for Productivity Estimation of Cyclic Construction Activities. ASCE Journal of Computing in Civil Engineering. Vol. 34. Published, 01/01/2020.
    https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29...
  • Sherafat, B. & Rashidi, A., Lee, Y. and Ahn, C. (2019). A Hybrid Acoustic-Kinematic System for Activity Detection of Construction Equipment. Sensors. Vol. 19. Published, 10/03/2019.
    https://doi.org/10.3390/s19194286
  • Sherafat, B., & Rashidi, A., Lee, Y. and Ahn, C. (2019). Automated Activity Recognition of Construction Equipment Using a Data Fusion Approach. Proceedings of the 2019 ASCE International Conference on Computing in Civil Engineering (i3CE2019). Published, 06/17/2019.
  • Lee, Y., & Rashidi, A. (2019). Historical Accident and Injury Database-driven Audio-based Autonomous Construction Safety Surveillance. Proceedings of the 2019 ASCE International Conference on Computing in Civil Engineering (i3CE2019). Published, 06/17/2019.
  • Xiang, Z., & Rashidi, A., and Ou, G. (2019). An Improved Convolutional Neural Network System for Automatically Detecting Rebar in GPR Data. Proceedings of the 2019 ASCE International Conference on Computing in Civil Engineering (i3CE2019). Published, 06/17/2019.
  • Xiang, Z. & Rashidi, A., and Ou, G. (2019). States of Practice and Research on Applying GPR Technology for Labeling and Scanning Constructed Facilities. ASCE Journal of Performance of Constructed Facilities. Vol. 33. Published, 06/01/2019.
    https://ascelibrary.org/doi/abs/10.1061/(ASCE)CF.1...
  • Cheng, C., F., & Rashidi, A., Davenport, M. and Anderson, D. (2019). Evaluation of Software and Hardware Settings for Audio-Based Analysis of Construction Operations. International Journal of Civil Engineering. Vol. 17. Published, 03/05/2019.
    https://link.springer.com/article/10.1007/s40999-0...
  • Atin Adhikari & Aniruddha Mitra; Abbas Rashidi; Imaobong Ekpo; Jacob Schwartz; and Jefferson Doehling (2018). Field evaluation of N95 filtering facepiece respirators on construction jobsites for protection against airborne nanoparticles and ultrafine particles. International Journal of Environmental Research and Public Health. Vol. 15. Published, 09/07/2018.
  • Cheng, C.F., , Anderson, D., Davenport, M. & Rashidi, A. (2018). Audio Classification Based on Weakly Labeled Data. 2018 IEEE Statistical Signal Processing Workshop (SSP). Published, 06/10/2018.
  • Rashidi, A. & Karan, E. (2018). Video to BrIM: Automated Generation of As-Built Documents for Bridges. ASCE Journal of Performance of Constructed Facilities. Vol. 32. Published, 04/01/2018.
  • A. Adhikari, A Rashidi & et al. (2018). Wood dust and nanoparticle exposure among workers during a new building construction. 20th International Conference on Occupational Health and Safety (ICOHS 2018). Published, 04/2018.
  • Schwartz, J & et al. (2018). The effects of Stoke’s drag, electrostatic force and charge on penetration of nanoparticles through N95 respirators. 20th International Conference on Occupational Health and Safety (ICOHS 2018). Published, 04/2018.
  • Gheisari, M., A Rashidi & Esmaeili, B (2018). UAS4Safety: Using Unmanned Aerial Systems for Automated Fall Hazard Monitoring. Construction Research Congress (CRC 2018). Published, 04/2018.
  • Sabillon, C., , Rashidi A & et al. (2018). A Productivity Forecasting System for Construction Cyclic Operations Using Audio Signals and a Bayesian Approach. Construction Research Congress (CRC 2018). Published, 04/2018.
  • Mitra, A, A Rashidi & et al. (2018). Nanoparticle Exposure Levels in Indoor and Outdoor Demolition Sites. 20th International Conference on Occupational Health and Safety (ICOHS 2018). Published, 04/2018.
  • A. Rashidi, Marcel Maghiar & Mohamad Hoseyn Sigari (2017). Capturing Geometry for Labeling and Mapping Built Infrastructure: An Overview of Technologies. Iranian Journal of Science and Technology, Transactions of Civil Engineering. Vol. 41, 415–428. Published, 12/2017.
  • Cheng, C.F., , A. Rashidi, M.A. Davenport & D.V. Anderson (2017). Activity analysis of construction equipment using audio signals and support vector machines. Automation in Construction. Vol. 81, 240-253. Published, 09/2017.

Presentations

  • Audio: An Emerging Source of Information for Analysis and Modeling of Civil Engineering Systems. Invited Talk/Keynote, Presented, 11/30/2018.