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Jaewook Jeong

Associate Professor

Seoul National University

South Korea

Research Interests

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Professors in South Korea Professors in Structural Engineering Structural Engineering professors in South Korea

About

Jaewook Jeong is an Assistant Professor at Seoul National University of Science and Technology in South Korea. His research focuses on occupational safety in construction, emphasizing risk assessment methods, the application of blockchain technology, and the analysis of environmental factors affecting safety. Recent publications include works on enhancing construction safety compliance and developing quantitative methods for assessing accident risks. His expertise encompasses innovative approaches to improve safety management and worker well-being in the construction industry.

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Collaborators (2)

Jaehyun Lee

Assistant Professor

Kunsan National University

SOUTH KOREA

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Jaemin Jeong

University of Toronto

CANADA

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Jaewook Jeong

Research Interests

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About

Articles (30)

Automated design for safety performance evaluation system using accident probability and risk cost analytics: A case study of industrial construction

Data-driven framework for calibrated thermal comfort assessment and thermal sensation prediction of construction workers during summer

Digital transformation of construction safety audits: a blockchain-enabled safety and health management system compliance management

Deep Learning-Based Safety Legislation Recommendation System for Construction Safety Reports

Critical success factors for external safety consulting agencies supporting small and medium-sized construction enterprises

Unsupervised learning approach for benchmark models to identify construction projects with high accident risk levels

Quantitative risk evaluation for construction methods using accident rate analysis based on working days by occupation

Data-Driven Approach to Analyzing Factors Influencing Construction Accident Severity Using SHAP Analysis

Evaluating Construction Equipment Accident Risk by Analyzing Utilization and Costs Using Regression Models

Development of a Quantitative Assessment Method for Occupational Accident Risk of Construction Workers Using Resource and Cost Information in the Preconstruction Stage

Establishment of Risk Management Groups in Construction Based on Workers’ Age and Accident Probability Using Unsupervised Learning

Enhancing construction safety compliance through a blockchain-enabled worker certification management system

State-of-the-Art review of blockchain applications for construction safety: Opportunities, challenges, and future directions

Quantitative Assessment of Air Pollutants and Construction Accidents: Developing Risk-Based Concentration Groups

Development of Multimodal Recommender System for Advancing Design for Safety with Expert Validation

Statistical Hypothesis Test Approach Considering Workers’ Thermal Comfort to Determine Nonworking Days in Different Climate Zones

Proactive approach to enhancing safety management using deep learning classifiers for construction safety documentation

Enhancing Readability in Construction Safety Reports Using a Two-Step Quantitative Analysis Approach

Probabilistic accident risk based on productivity for prefabricated structural system at large-scale industrial project

Probabilistic approach for identifying construction accident risk for facilities based on outdoor thermal comfort

Quantitative methodology of environmental impact and economic assessment under equivalent conditions for prefabricated systems

Assessing Dust Emissions, Health Impacts, and Accident Risks in Prefabricated and Conventional Construction: A Comprehensive Comparative Study

Optimization model for selecting optimal prefabricated column design considering environmental impacts and costs using genetic algorithm

Improving the Model for Estimating the Number of Construction Workers for Apartment Construction

Establishment of outdoor thermal comfort index groups for quantifying climate impact on construction accidents

Quantitative Risk Evaluation by Building Type Based on Probability and Cost of Accidents

Evaluation of Accident Risk Level Based on Construction Cost, Size and Facility Type

A Novel Safety Risk Assessment Based on Fuzzy Set Theory and Decision Methods in High-Rise Buildings

Data-driven approach to develop prediction model for outdoor thermal comfort using optimized tree-type algorithms

Cost Overrun Risk Assessment and Prediction in Construction Projects: A Bayesian Network Classifier Approach

Collaborators (2)

Jaehyun Lee

Jaemin Jeong

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