Research output per year
Research output per year
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 (Assistant Professor) in Construction Management. He is working in the programmes of MSc/BEng (Hons) Civil Engineering and Graduate Apprenticeship (GA)-BEng (Hons) Civil Engineering, while contributing to other BEng programmes. 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 degrees of BSc in Architectural Engineering (Summa Cum Laude, Ranked 1/61) from Hanyang University-ERICA and MSc in Architectural Engineering from Hanyang University, South Korea. He then earned his PhD degree (Construction Management Emphasis) 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, a Member of the Korean Scientists and Engineers Association in the UK (KSEAUK), and an Associate Member of the American Society of Civil Engineers (A.M.ASCE).
Dr Bae has been selected as a 2020 Outstanding Reviewer by two of the top-notch ASCE journals at the same time: Journal of Construction Engineering and Management and Journal of Management in Engineering. "The reviewers are selected based on the quality and timeliness of their reviews during the past year."-ASCE
Expertise related to UN Sustainable Devlopment Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
External positions
Visting Lecturer (Engineering Management module), Changchun Institute of Technology
Oct 2019 → …
Visiting Lecturer (0.2FTE), Dept. of Construction Science, Texas A&M University
Jan 2017 → May 2017
Instructor of Record, Dept. of Construction Science, Texas A&M University
Sep 2014 → May 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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Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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ACT2: Time–cost tradeoffs from alternative contracting methods
Choi, K., Bae, J., Yin, Y. & Lee, H. W., 1 Jan 2021, In: Journal of Management in Engineering. 37, 1Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)14 Downloads (Pure) -
A deep learning algorithm-driven approach to predicting repair costs associated with natural disaster indicators: the case of accommodation facilities
Kim, J-M., Yum, S-G., Park, H. & Bae, J., 31 Oct 2021, In: Journal of Building Engineering. 42, 7 p., 103098.Research output: Contribution to journal › Article › peer-review
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A land-use clustering approach to capturing the level-of-service of large urban corridors: A case study in downtown Los Angeles
Bae, J. & Choi, K., 2021, In: Environment and Planning B: Urban Analytics and City Science. 48, 7, p. 2093-2109 17 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus)8 Downloads (Pure) -
A supervised learning approach to calibrating annual average daily traffic against highway roadworks: the impact of demographic and weather conditions
Bae, J., 22 Oct 2021, (E-pub ahead of print) In: Transportation Planning and Technology. 44, 8, p. 901-916 16 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
Development of model to predict natural disaster-induced financial losses for construction projects using deep learning techniques
Kim, J-M., Bae, J., Son, S., Son, K. & Yum, S-G., 10 May 2021, In: Sustainability. 13, 9, 12 p., 5304.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure)
Prizes
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2020 ASCE Outstanding Reviewer Award, Journal of Construction Engineering and Management
Bae, Junseo (Recipient), 30 Apr 2021
Prize: Prize (including medals and awards)
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2020 ASCE Outstanding Reviewer Award, Journal of Management in Engineering
Bae, Junseo (Recipient), 30 Apr 2021
Prize: Prize (including medals and awards)
Activities
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American Society of Civil Engineers (ASCE) (External organisation)
Junseo Bae (Member)
Jun 2020 → …Activity: Membership › Membership of network
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UWS Crucible 2020 (Online)
Junseo Bae (Participant)
14 May 2020 → 29 Jun 2020Activity: Participating in or organising an event › Participation in workshop, seminar, course
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Journal of Construction Engineering and Management (Journal)
Junseo Bae (Peer reviewer)
Aug 2020 → …Activity: Publication peer-review and editorial work › Publication peer-review
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Higher Education Academy (External organisation)
Junseo Bae (Member)
26 Jul 2019 → …Activity: Membership › Membership of network
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Urban design, cultural city protection, construction operation management
Junseo Bae (Invited speaker)
10 Sep 2019Activity: Participating in or organising an event › Participation in workshop, seminar, course