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Personal profile


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 involved in the programmes of BEng (Hons) Civil Engineering, Graduate Apprenticeship (GA)-BEng (Hons) Civil Engineering and MSc Construction Management with Digital Engineering. 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 and MSc degrees from Hanyang University in South Korea. He then earned his PhD 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.

  • PhD Thesis: A Multi-Contextual Approach to Modeling the Impact of Critical Highway Work Zones in Large Urban Corridors
  • MSc Dissertation: Reinforcement Steel Design applying Set-based Design Methodology to Flat Plate in the Structural BIM (S-BIM) Environment
  • BSc Dissertation: Optimal Weight Design of Steel Structure followed by Selection of Member Section on Adaptive Simulated Annealing

Dr Bae is a Fellow of the Higher Education Academy (FHEA) in the UK.

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).

Current research activities

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 motorway improvement projects, through multi-contextual big-data-based machine learning or 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 BIM techniques and numerical approaches into developing decision-support models for improved AEC projects

Current teaching activities and interests

Postgraduate Level

  • Construction Business Economics (Module Coordinator (MC))
  • Digital Engineering (MC)
  • Research Design and Methods*
  • MSc Dissertations

Undergraduate Level

  • Supervision of Civil Engineering Honours Projects
  • Modern Practice in Construction Management*
  • Engineering Project Management (MC)
  • Graduate Apprenticeship (GA)-Technical Communications (MC)
  • Technical Communications (MC)
  • Engineering Industry (MC)

*: Contributing to the module by lecturing certain topics

External positions

Visiting Lecturer, Texas A&M University

Jan 2017May 2017

Instructor of Record, Texas A&M University

Sep 2014May 2015

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Research Output 2007 2018

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

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

IRIER: a decision-support model for optimal energy retrofit investments

Hosseinian, S., Choi, K. & Bae, J., 1 Sep 2017, In : Journal of Construction Engineering and Management. 143, 9

Research output: Contribution to journalArticle

Energy conservation
Energy efficiency
Decision support model
Risk assessment

Machine-learning for automated impact predictions of highway construction

Choi, K. & Bae, J., 19 Jul 2017.

Research output: Contribution to conferencePaper

Multi-contextual approach to modeling traffic impact of urban highway work zones

Bae, J., Choi, K. & Oh, J. H., 2017.

Research output: Contribution to conferencePaper

Activities 2017 2019

Higher Education Academy (External organisation)

Junseo Bae (Member)
26 Jul 2019 → …

Activity: MembershipMembership of network

Urban design, cultural city protection, construction operation management

Junseo Bae (Invited speaker)
10 Sep 2019

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

BIM and Digital Infrastructure Scotland 2019

Junseo Bae (Participant)
7 Feb 2019

Activity: Participating in or organising an eventParticipation in conference

Get into Engineering

Ashwini Konanahalli (Examiner), Junseo Bae (Contributor), Marco Gilardi (Contributor)
7 Jan 201920 May 2019

Activity: OtherTypes of Public engagement and outreach - Schools engagement

Natural Hazards (Journal)

Junseo Bae (Peer reviewer)
2019 → …

Activity: Publication peer-review and editorial workPublication peer-review