Jisoo Park, Ph. D.

Assistant Professor at ISU

About

Assistant Professor

Department of Built Environment at Indiana State University

  • Email:jisoo.park@indstate.edu
  • Website: https://youngbrain85.github.io
  • Phone: (770) 731-5233
  • Address: 544 Frontier Ct. Terre Haute, IN 47803


Research Interest

  • Construction Management
  • Construction Automation and Robotics
  • Construction Surveying
  • Metaverse
  • Machine Learning
  • Computer Vision

Resume

I am an Assistant Professor at the Department of Built Environment at Indiana State University, Teaching construction management-related courses and Conducting research on construction management in Metaverse.

Present

ASSISTANT PROFESSOR

2022 - present

Indiana State University, Terre Haute, IN

  • 101 North 6th St, Terre Haute, IN 47809
  • (770) 731-5233
  • jisoo.park@indstate.edu

Education

Doctor of Philosophy

2016 - 2020

Georgia Institute of Technology, Atlanta, GA

  • Area of Concentration: Construction Management and Automation
  • Dissertation: PCIM - Deep learning-based point cloud information modeling framework
  • Master of Science

    2008 – 2010

    Hanyang, South Korea

  • Area of Concentration: Concrete Engineering
  • Dissertation: Flexural Bonding Characteristics by Embedded Length of FRP Rod
  • Bachelor of Science

    2004 – 2008

    Hanyang, South Korea

  • Area of Concentration: Civil Engineering
  • Employment History

    Postdoctoral Fellow

    2021 - 2022

    Georgia Institute of Technology

    • Consulting research projects

    Visiting Researcher

    2021 - 2021

    Korea Institute of Construction Technology

    • Consulting research projects

    CTO

    2020 - present

    BriconLAB. Co. ltd (South Korea)

    • Managing research projects

    Researcher

    2013 - 2014

    Korea Expressway Corporation

    • Research services on fire dynamic simulation

    Senior Researcher

    2010 - 2013

    Ejtech. Co. ltd (South Korea)

    • Bridge construction field management

    Previous Research

    1) 3D Reconstruction using Heterogeneous Robot Teams
    To obtain occlusion-free 3D geometric data, I exploited heterogeneous robot systems composed of unmanned aerial/ground vehicles (UAV/UGV) and developed an automated framework to integrate UAV and UGV data. The finally generated occlusion-free 3D point clouds can be used to create precise digital twins and BIMs.
    Publications

  • Park, J.,Kim, P., Cho, Y. K., & Kang, J. (2019). Framework for automated registration of UAV and UGV point clouds using local features in images. Automation in Construction, 98, 175-182.
  • 2) AI-powered Point Cloud Information Modeling (PCIM)
    To generate a semantically enriched 3D model from 3D geometric models, I have developed a deep learning-based construction object classification in 3D point cloud data, called point cloud information modeling (PCIM). The PCIM can classify various construction objects and their properties.
    Publications

  • Park, J.,and Cho, Y. (2021). "Point Cloud Information Modeling (PCIM): Deep Learning-based Automated Information Modeling Framework for Point Cloud Data." ASCE Journal of Construction Engineering and Management, (Accepted).
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    3) Digital Twin-assisted Blind Operation for Crane
    The objective of this research is to explore a method for real-time crane motion capturing and investigate an approach for assisting hazard detection. To achieve this goal, this research employed multiple technologies, including 1) multi-sensing system, 2) 3D reconstruction, 3) VR/AR, and 4) digital twin.
    Publications

  • Price, L. C., Chen, J., *Park, J., ., & Cho, Y. K. (2021). Multisensor-driven real-time crane monitoring system for blind lift operations: Lessons learned from a case study. Automation in Construction, 124, 103552 (*Corresponding author)
  • 4) Best Practices in Mass Concrete Construction
    The objective of this research is to develop the mass concrete thermal management methods and decision-making tools through GDOT’s real-world mass concrete construction projects as pilot case studies. The real-world cost implication of thermal management methods are investigated as well.
    Publications

  • Park, J.,., Al-Hasani L., Gentry, R., Kurtis, K., Brown, J., and Cho, Y. (Forthcoming). "Multi-Criteria Decision-Making Framework of Thermal Control Methods using Nomogram for Mass Concrete Construction." Construction and Building Materials.
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    5) Rapid Disaster Relief using Multi-Robot Team
    The main objective of this research is to define and examine an advanced human-multi-robot cooperative disaster relief framework which can rapidly assist human crisis intervention and search and rescue (SAR) teams. The teams at Georgia Tech and Seoul National University in South Korea are formed to collaboratively resolve this global challenge.
    Publications

  • Kim, P., *Park, J., Cho, Y., and Kang, J. (2019). "UAV-assisted autonomous mobile robot navigation for as-is 3D data collection and registration in cluttered environments." Automation in Construction, 106, DOI: https://doi.org/10.1016/j.autcon.2019.102918.
  • Ongoing Research

    1) CPS-based Non-Contact Facility Management System after COVID 19

    The objective of this research is to develop a Human-in-the-Loop CPS for Non-Contact Facility Maintenance at the post COVID era. To achieve this goal, I will develop a BIM-integrated AR application for non-contact data exchange between residents and facility managers. Automated damage dection algorithm using deep learning will be implemented into the AR app.

    Submitted Proposal:

    NSF-CPS-Medium: Human-in-the-Loop CPS for Non-Contact Facility Maintenance at the post COVID era

    2) Smart Earth Moving with Multi-Robot Teams

    The main purpose of this research is to realize smart earthwork with multi-robot collaboration. In this research, UAV and UGV will play a role to manage and control the entire earthwork project. IoT-based Geofencing technique will be implemented for the construction safety.

    Submitted Proposal

    Smart earth moving with multi-robot systems (KOREA INSTITUTE of CIVIL ENGINEERING and BUILDING TECHNOLOGY – International Joint Research)

    Teaching Philosophy

    In the Fourth Industrial Revolution era, engineers' core competencies are no longer technical skills but rather the ability and willingness to think critically and creatively about complex issues. Therefore, my overarching goal as an educator is to be a "SandBox." As SandBox, in the computer science area, means a protected testing environment to software developers and web designers, I would like to be an educator who can afford a space to secure students' diverse perspectives.
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    Teaching Experience

    Classes University Semester
    Construction Project Management Indiana State University Fall 2022
    Construction Materials, Methods, and Equipment Indiana State University Fall 2022
    Construction operation Georgia Tech Spring 2022
    Construction Automation and Robotics Georgia Tech Fall 2021
    Construction Industry Best Practices – TA Georgia Tech Fall 2019
    Construction Operation – TA Georgia Tech Spring 2019

    Publications

    JOURNAL ARTICLES

    Published or Accept :

    1) Park, J., Cho, Y., and Kim, S. (2022). "Deep Learning-based UAS Image Segmentation and Inpainting for Generating Vehicle-Free Orthomosaic." International Journal of Applied Earth Observation and Geoinformation, 115, DOI: https://doi.org/10.1016/j.jag.2022.103111 .

    2) Al-Hasani L., Park, J., Perez, G., Herndon, H., Brown, J., Cho, Y., Gentry, R., and Kurtis, K. (2022). "Quantifying concrete adiabatic temperature rise based on temperature-dependent isothermal calorimetry; modeling and validation." Materials and Structures, 55(7), http://doi.org/10.1617/s11527-022-02023-6 .

    3) Lee, J., Huh, Y., and Park, J. (2022). "Geospatial Simulation System of Mountain Area Black Ice Accident." Applied Science, 12(11), DOI: https://doi.org/10.3390/app12115709

    4) Park, J., and Cho, Y. (2021). "Point Cloud Information Modeling: Deep Learning-based Automated Information Modeling Framework for Point Cloud Data." ASCE Journal of Construction Engineering and Management, 148(2), DOI: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002227 .

    5) Lee, J., Cho, J., and Park, J. (2021). "Large-scale Earthwork Progress Digitalization Practices using Series of 3D Models generated from UAS Images." Drones, 5(4), DOI: https://doi.org/10.3390/drones5040147

    6) Jeong, I., Jang, Y., Park, J.*, and Cho, Y. (2021) "Motion Planning of Mobile Robots for Autonomous Navigation on Uneven Ground Surfaces." ASCE Journal of Computing in Civil Engineering, 35(3), DOI: https://doi.org/10.1061/(ASCE)CP.1943-5487.0000963 (*: Corresponding author)

    7) Price, L.C., Chen, J., Park, J.*, and Cho, Y. (2021) "Multisensor-driven Real-time Crane Monitoring System for Blind Lift Operations: Lessons Learned from a Case Study." Automation in Construction, 124, DOI: https://doi.org/10.1016/j.autcon.2021.103552(*: Corresponding author)

    8) Park, J., Cho, Y., Kang, D., and Son, B.(2020). "CNN-Based Person Detection Using Infrared Images for Night-Time Intrusion Warning Systems." Sensors, 20(1), 34, DOI: https://doi.org/10.3390/s20010034

    9) Park, J., Kim, P., Cho, Y., and Kang, J. (2019). "Framework for Automated Registration of UAV and UGV Point Clouds Using Local Features in Images." Automation in Construction, 98, DOI: https://doi.org/10.1016/j.autcon.2018.11.024

    10) Kim, P., Park, J., Cho, Y., and Kang, J. (2019). "UAV-assisted autonomous mobile robot navigation for as-is 3D data collection and registration in cluttered environments." Automation in Construction, 106, DOI: https://doi.org/10.1016/j.autcon.2019.102918

    11) Lee, J., Park, J., Kim, I., and Kang, D.Y.(2019). "Application of Vision-based Safety Warning System to Haeundae Beach, Korea." Journal of Coastal Research, 91(SI), DOI: https://doi.org/10.2112/SI91-044.1

    Under review :

    12) Al-Hasani L., Perez, G., Herndon, H., Park, J., Poole, J., Tien, I., Washburn, N., Cho, Y., Gentry, R., and Kurtis, K. (Forthcoming). "Prediction of heat of hydration of cementitious systems using Gaussian Process Regression enables mass concrete thermal modeling." Materials and Structures, (under review).

    13) Brown, J., Park, J., Al-Hasani L., Gentry, R., Kurtis, K., and Cho, Y. (Forthcoming). "A Family of Thermal Nomograms for Mass Concrete." ACI Materials Journal, (under review).

    In prep. :

    14) Park, J., Al-Hasani L., Gentry, R., Kurtis, K., Brown, J., and Cho, Y. (Forthcoming). "Multi-Criteria Decision-Making Framework of Thermal Control Methods using Nomogram for Mass Concrete Construction." Construction and Building Materials, (In prep).

    15) Park, J., Kim, S., Kim, Y., and Cho, Y. (Forthcoming) “3D Benchmark Datasets with Hierarchical Structure Collected from Different Construction Processes.” Automation in Construction, (In prep)

    16) Park, J.,and Cho, Y. (Forthcoming). "Effect of Parameter Combination for Construction Material Segmentation in Point Clouds." ASCE Journal of Construction Engineering and Management, (In prep).


    CONFERENCE PROCEEDINGS (peer-reviewed)

    1) Park, J. and Cho Y. (2022). “Inspection Data Exchange and Visualization for Building Maintenance using AR-enabled BIM.” Proceedings of the International Symposium on Automation and Robotics in Construction (ISARC), Bogotá, Colombia, July 13-15., DOI: https://doi.org/10.22260/ISARC2022/0066

    2) Kim, S., Yajima, Y., Park, J., Chen, J., and Cho Y. (2022). “A Hybrid Semantic-Geometric Approach for Clutter-Resistant Floorplan Generation from Building Point Clouds.” Proceedings of the 9th International Conference on Construction Engineering and Project Management (ICCEPM), Las Vegas, NV, USA, June 20-23.

    3) Park, J. and Cho Y. (2021). “Laser Intensity-assisted Construction Material Classification in Point Cloud Data using Deep Learning” ASCE International Conference on Computing in Civil Engineering (i3CE 2021), Orlando, FL, USA, September 12-14. DOI: https://doi.org/10.1061/9780784483893.001

    4) Yajima, Y., Kahoush, M., Chen, J., Park, J. Kangisser, S., Irizarry, J., and Cho, Y. (2021) “AI-driven 3D Point Cloud-Based Highway Infrastructure Monitoring System using UAV” ASCE International Conference on Computing in Civil Engineering (i3CE 2021), Orlando, FL, USA, September 12-14. DOI: https://doi.org/10.1061/9780784483893.110

    5) Kahoush, M., Yajima, Y., Chen, J., Park, J. Kangisser, S., Irizarry, J., and Cho, Y. (2021) “Image-based highway infrastructure segmentation using UAV imagery” ASCE International Conference on Computing in Civil Engineering (i3CE 2021), Orlando, FL, USA, September 12-14. DOI: https://doi.org/10.1061/9780784483893.109

    6) Park, J. Chen, J., and Cho Y. (2020). "Point Cloud Information Modeling (PCIM): an Innovative Framework for as-is Information Modeling of Construction Sites." ASCE Construction Research Congress (CRC) 2020, Tempe, AZ, USA, March 9-10, DOI: https://doi.org/10.1061/9780784482865.139

    7) Kim, P., Price, L., Park, J. and Cho, Y. (2019). "UAV-UGV cooperative 3D environmental mapping." Proceedings of the ASCE 2019 International Conference on Computing in Civil Engineering (i3CE), Atlanta, GA, USA, June 17-19, DOI: https://doi.org/10.1061/9780784482438.049

    8) Kim, P., Park, J. and Cho, Y. (2019). "As-is Geometric Data Collection and 3D Visualization through the Collaboration between UAV and UGV." Proceedings of the 36th International Symposium on Automation and Robotics in Construction (ISARC), Banff, AB, Canada, May 21-24 DOI: https://doi.org/10.22260/ISARC2019/0073

    9) Park, J. Park, J., Kim, P., Cho, Y., and Fang, Y. (2018)." Automated Collaboration Framework of UAV and UGV for 3D Visualization of Construction Sites." Proceedings of the 18thInternational Conference on Construction Applications of Virtual Reality (CONVR2018), Auckland, New Zealand, Nov 22-23.

    10) Park, J. Cho, Y., and Shim, J. (2018). "Resilient Fire Prevention and Management Strategies for Structures and Materials Stored under Bridges." Construction Research Congress 2018, ASCE, New Orleans, LA, 584 - 593. DOI: https://doi.org/10.1061/9780784481288.057

    Contact

    Location:

    101 North 6th Street, Terre Haute, IN 47809

    Call:

    (770) 731-5233

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