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See "Strategic Research Agenda" shown in the Desired research direction section below.

20072020

Research output per year

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Personal profile

Overview

Dr Junseo Bae has joined the School of Computing, Engineering and Physical Sciences at the University of the West of Scotland (UWS) since February 2018, as a Lecturer in Construction Management. He is currently the Programme Leader (Interim) for MSc Construction Management with Digital Engineering (since Sept 2019), while being deeply involved in the programmes of MSc/BEng (Hons) Civil Engineering and Graduate Apprenticeship (GA)-BEng (Hons) Civil Engineering. In addition, he is a key member of Construction Innovation and Built Environment Research (CIBER) Group at UWS. Prior to joining UWS, Dr Bae served as a Visiting Lecturer and Instructor of Record in the Department of Construction Science at Texas A&M University-College Station in the United States.

Dr Bae received both BSc (Summa Cum Laude, Ranked 1/61) and MSc in Architectural Engineering degrees from Hanyang University in South Korea. He then earned his PhD (Construction Management Emphasis) degree from Texas A&M University. His doctoral research was fully focused on creating, testing and validating a Machine-Learning-based spatiotemporal Decision-Support framework that learns and predicts the Mobility Impact of critical Highway Construction Work Zones by training Multi-Contextual Big Data.

Dr Bae is a Fellow of the Higher Education Academy (FHEA) in the UK, Member of the Korean Scientists and Engineers Association in the UK (KSEAUK), and Associate Member of the American Society of Civil Engineers (A.M.ASCE).

Desired research direction

Dr Bae's research is focused on big-data-driven decision-support modelling for streamlined construction planning, operation and management. His research topics include construction informatics, sustainability and asset management, improved project delivery and building information modelling (BIM). Strategic research agenda falls into four key areas that address the unique spectrum of challenges and issues facing councils, local authorities, public sector, affected communities and business enterprises:

Transport infrastructure informatics: Automating and predicting the level of mobility disruption and potential safety risks before and during construction for critical roadway improvement projects, through multi-contextual big-data-based machine/deep learning under arbitrary and user-defined “what-if” construction scenarios

Sustainability & asset management: Developing a state-of-art decision-support model through the integrated life-cycle assessment (LCA) and life-cycle cost analysis (LCCA), aiming at selecting the most sustainable infrastructure improvement project scenario alternative

Improved project delivery: Developing the optimal decision-support model through stochastic/statistical modelling and discrete-event simulations, which could predict time-cost-change order risks for different project classifications and market characteristics

BIM applications: Intermingling building information management techniques and quantitative/qualitative approaches into developing multi-criteria decision-support frameworks for improved AEC projects, ranging from design/construction to operational phases

External positions

Visting Lecturer (Engineering Management module), Changchun Institute of Technology

Oct 2019 → …

Visiting Lecturer, Dept. of Construction Science, Texas A&M University

Jan 2017May 2017

Instructor of Record, Dept. of Construction Science, Texas A&M University

Sep 2014May 2015

Fingerprint Dive into the research topics where Junseo Bae is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Research Output

  • Analysis of plant construction accidents and loss estimation using insurance loss records

    Kim, J-M., Kim, T., Bae, J., Son, K. & Ahn, S., 13 Nov 2019, In : Journal of Asian Architecture and Building Engineering. 11 p.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 1 Citation (Scopus)
    37 Downloads (Pure)

    A quantitative risk assessment development using risk indicators for predicting economic damages in construction sites of South Korea

    Kim, J-M., Kim, T., Son, K., Bae, J. & Son, S., 30 Oct 2019, In : Journal of Asian Architecture and Building Engineering. 18, 5, p. 472-478 7 p.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 1 Citation (Scopus)
    36 Downloads (Pure)

    Monitoring changes in gait adaptation to identify construction workers’ risk preparedness after multiple exposures to a hazard

    Sun, C., Ahn, C. R., Bae, J. & Johnson, M., 2018, Construction Research Congress 2018. Wang, C., Harper, C., Lee, Y., Harris, R. & Berryman, C. (eds.). American Society of Civil Engineers, p. 221-230

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Effect of the socio-geographic factors on cost overruns in roadway renewal projects

    Ryu, K. R., Choi, K., Bae, J. & Lee, D-W., 19 Jul 2017.

    Research output: Contribution to conferencePaper

    Activities

    American Society of Civil Engineers (ASCE) (External organisation)

    Junseo Bae (Member)

    Jun 2020 → …

    Activity: MembershipMembership of network

    Gateway to Engineering

    Ashwini Konanahalli (Examiner), , Junseo Bae (Contributor), & Marco Gilardi (Contributor)

    7 Jan 201920 May 2019

    Activity: OtherTypes of Public engagement and outreach - Schools engagement

    Construction engineering technical regulations and management

    Junseo Bae (Invited speaker)

    22 Oct 2019

    Activity: Participating in or organising an eventParticipation in workshop, seminar, course

    Changchun Institute of Technology

    Junseo Bae (Visiting lecturer)

    14 Oct 201918 Oct 2019

    Activity: Visiting an external institutionVisiting an external academic institution