The SAVE Lab Research

Quantifying the Impact of High Temperature Exposure on Physical Fatigue in Construction Workers (2025)

Marchiori, R. and Song, S.
This study quantifies how exposure to high temperatures contributes to physical fatigue in construction workers.

Evaluating Worker Competencies for Working in Heat Environments Through a Training-Driven Assessment Approach (2025)

Marchiori, R., Song, S., and Moon, J.
This article assesses worker competencies in high-heat environments using a training-based evaluation approach.

Severity Analysis for Occupational Heat-Related Injury Using the Multinomial Logit Model (2024)

Lyu, P. and Song, S.
This research applies the Multinomial Logit Model to analyze the severity of heat-related injuries in occupational settings.

Integrating Infrared Sensors and Computer Vision for Heat Stress Detection in Construction Environments (2024)

Lonbar, A.G., Chen, K., and Song, S
This study proposes a hybrid system using infrared sensors and computer vision to detect heat stress.
Presented at Computing in Civil Engineering 2024\

Exploring the Influence of Extreme Weather on Construction Worker Safety (2024)

Lyu, P., Song, S., and Khorshid, S.
This paper examines how extreme weather impacts worker safety on construction sites.
Presented at Construction Research Congress 2024 (pp. 508–517)

Detecting and Preventing Falls Using a Hybrid Technology System: A Review (2023)

Ajasa, S. and Song, S.
This review outlines hybrid tech systems for preventing fall accidents on construction sites.
Presented at Computing in Civil Engineering 2023 (pp. 400–408)

A Review of Non-invasive Heat Stress Monitoring Systems for Construction Workers Using Wearable Device and Computer Vision Technology (2023)

Khorshid, S., Song, S., Chen, K., and Lyu, P.
The paper reviews modern heat stress monitoring systems integrating wearables and computer vision.
Presented at Computing in Civil Engineering 2023 (pp. 606–613)

Risk Analysis of Heat-Related Illness (2022)

Lyu, P., Song, S., and Watts, P.
This presentation analyzes risk factors contributing to heat-related illness in construction workers.
Presented at ASC International Conference 2022, Atlanta, GA

Advanced Monitoring Techniques for Preventing Heat Stress in Construction Workers (2024)

Lyu, P., Marchiori, R., Khorshid, S., and Song, S.
This paper introduces innovative monitoring systems to prevent heat stress among construction workers.
Presented at International Conference on Computing in Civil Engineering (i3CE 2024), Pittsburgh, PA

Proximity Detection and Warning Technology for Heavy Construction Equipment (2016)

Song, S. and Marks, E.
This presentation showcases advanced proximity detection and warning technologies to improve construction equipment safety.
Presented at ASSP Annual Conference 2016, Atlanta, GA – 1st Place Prize

A Conceptual Model of Multi-Spectra Perception for Enhancing Safety Climate on Construction Workplace (2021)

Kim, S., Song, S., Lee, D., Kim, D., Lee, S., and Irizarry, J.
This study proposes a multi-spectra perception model to enhance safety climate in construction environments.

Dynamic 3D Blind Spot Mapping for Equipment Operations (2019)

Song, S., Marks, E., and Moynihan, G.
This paper introduces a method for dynamic 3D mapping to reduce blind spots during construction equipment operations.

Steel Manufacturing Incident Analysis and Prediction (2018)

Song, S., Lyu, Q., Marks, E., and Hainen, A.
This article analyzes and predicts steel manufacturing incidents using historical safety data.

Analyzing the Impact Factors of Occupational Struck-by Fatality with the Random Forest Model (2023)

Lyu, P., Song, S., and Ajasa, S.
The paper uses machine learning to identify key factors in struck-by fatalities.
Presented at Computing in Civil Engineering 2023 (pp. 409–417)

Assessing Injury Risk Factors Among Construction Workers in Highway Work Zones (2024)

Lyu, P., Ramezanpour, E., Ajasa, S., and Song, S.
This research assesses injury risks in highway work zones using advanced data analytics.
Presented at Computing in Civil Engineering 2024

Behavioral Strategies between Government and Real Estate Developers on Prefabricated Buildings Based on Triangular Fuzzy Matrix Game (2022)

Han, Y., Song, S., and Zhuang, W.
This paper explores game-theoretic behavioral strategies for promoting prefabricated buildings between governments and developers.

Assessing Stress Levels and Stressors Among Architecture, Engineering, and Construction (AEC) Students: Underpinnings for Mental Health Curricula Development (2024)

Khorshid, S., Marchiori, R., and Song, S.
The study evaluates stressors affecting AEC students to inform mental health curriculum development.
Presented at the 2024 ASEE Annual Conference & Exposition

Analysis of a Heat-Related Illness Training Program for Industry Workers (2022)

Lyu, P., Marchiori, R., Song, S., and Zhang, F.
This paper evaluates the effectiveness of heat illness training programs tailored for industry workers.
Presented at ASC International Conference 2022, Atlanta, GA – Best Poster Award

Safety Education in the Curriculum of Construction Programs (2022)

Awolusi, I., Sulbaran, T., Song, S., Nnaji, C., and Ostadalimakhmalbaf, M.
The paper highlights the integration of safety education into construction academic programs.
Presented at ICCEPM 2022, Las Vegas, Nevada

Impact of Discretionary Safety Funding on Construction Safety (2017)

Song, S., Awolusi, I., and Marks, E.
This study evaluates how discretionary funding allocations impact construction safety outcomes.

Immersive technology-enhanced learning system design in civil engineering education (May 2023)

Moon, J., Song, S., Awoyemi, D., Marchiori, R., Khorshid, S., Chen, X.
This study presents an immersive tech-based learning framework for civil engineering education.
Presented at iLRN 2023 (Outstanding Contribution to Workplace Industry Training Award)

Forklift Safety: Sensing the Dangers with Technology (2018)

Awolusi, I., Song, S., and Marks, E.
This article discusses how sensor-based technology can improve forklift safety in construction environments.

Industrial Safety Management Using Innovative and Proactive Strategies (2020)

Song, S. and Awolusi, I.
This book chapter discusses innovative and proactive strategies for enhancing industrial safety management practices.

Work-Related Fatalities Analysis Through Energy Source Recognition (2020)

Song, S., Awolusi, I., and Jiang, Z.
This study introduces energy source recognition methods to analyze and mitigate fatal work-related incidents.
Presented at Construction Research Congress 2020 (pp. 279–288)

The Effects of COVID-19 on the Safety Procedures of Construction Workers: A Survey (2022)

Alzarrad, A., Akbar, H., Awolusi, I., and Song, S.
This survey-based research explores how COVID-19 has impacted safety protocols on construction sites.
Presented at ASC International Conference 2022, Atlanta, GA

A Game-Based Learning Method to Promote Soft Skills in Construction Education (2024)

Marchiori, R. and Song, S.
This paper introduces a game-based learning approach to develop soft skills in construction education.
Presented at the 2024 ASEE Annual Conference & Exposition

Exploring the Impact of Weather Conditions on Construction Workers’ Safety: A Focus on Fall Accidents (2024)

Ajasa, S., Lyu, P., Marchiori, R., and Song, S.
The paper investigates weather-related impacts on fall accidents among construction workers.
Presented at Computing in Civil Engineering 2024

WIP: Assessing the Need for Mental Health Curricula for Civil, Architecture, and Construction Engineering (2023)

Khorshid, S. and Song, S.
Work-in-progress paper exploring the inclusion of mental health curriculum in AEC education.
Presented at 2023 ASEE Annual Conference & Exposition

Crafting An Approach to Cultivate Engineering Competencies for Undergraduate Students in Construction Engineering with Minecraft (2023)

Marchiori, R., Song, S., Moon, J., and Khorshid, S.
This paper discusses gamified learning using Minecraft for developing construction engineering skills.
Presented at 2023 ASEE Annual Conference & Exposition

Using a Game-Based Approach to Develop Engineering Competencies in Construction Engineering Students (2023)

Lyu, P., Marchiori, R., and Song, S.
This paper explores a gamified approach for enhancing engineering competencies in construction students.
Presented at International Conference on Computing in Civil Engineering (i3CE 2023), Corvallis, Oregon – Poster Competition Winner (Travel Funds Received)

The Integration of BIM and XR in Construction Engineering Curriculum: Enhancing Safety Perceptions among AEC Students (2023)

Ajasa, S. and Song, S.
This presentation examines the incorporation of BIM and XR into the curriculum to improve safety awareness among AEC students.
Presented at International Conference on Computing in Civil Engineering (i3CE 2023), Corvallis, Oregon – Poster Competition Winner (Travel Funds Received)

Improving BIM Integration and Implementation in Construction Education (2022)

Song, S., Alzarrad, M.A., and Kim, S.
This paper proposes effective methods to enhance BIM integration in construction education programs.
Presented at Construction Research Congress 2022 (pp. 131–139)

From Heat to Cold: Examining the Preparedness of Construction Projects during Unprecedented Winter Storms in the South (2024)

Khorshid, S., Song, S., Marchiori, R. S., and Lyu, P.
The research evaluates the preparedness of construction sites for extreme cold events.
Presented at Construction Research Congress 2024 (pp. 486–495)

Exploring Industry Solutions and Evaluating Teaching Methods for Delivering BIM in Senior Design Class (2023)

Marchiori, R., Khorshid, S., and Song, S.
The paper evaluates BIM teaching methods and industry integration in senior design courses.
Presented at 2023 ASEE Annual Conference & Exposition (Best Paper Award)

Improving Tolerance Control on Modular Construction Project with 3D Laser Scanning and BIM – A Case Study of Removable Floodwall Project (2020)

Li, H., Zhang, C., Song, S., Demirkesen, S., and Chang, R.
This article discusses how 3D laser scanning and BIM can improve tolerance control in modular construction projects.

A Framework for Quality Analysis of Anchor Plate for Removable Flood Wall Using 3D Laser Scanning and BIM (2020)

Li, H., Zhang, C., Song, S., and Demirkesen, S.
This study uses 3D laser scanning and BIM for quality analysis of flood protection infrastructure.
Presented at IPCMC 2020, Istanbul, Turkey

Construction Site Path Planning Optimization through BIM (2019)

Song, S. and Marks, E.
The paper presents an optimized approach to construction site path planning using BIM technologies.
Presented at ASCE International Conference on Computing in Civil Engineering 2019 (pp. 369–376)

The Application of BIM-Based Technology toward Fall Hazard Mitigation in Construction (2024)

Ajasa, S., Marchiori, R., and Song, S.
The paper explores the potential of BIM technologies in mitigating fall hazards.
Presented at Construction Research Congress 2024 (pp. 538–547)

Exploring the Potential of BIM CAVE for Optimizing Construction Site Path Planning: A Review (2023)

Marchiori, R., Ajasa, S., and Song, S.
This review assesses BIM CAVE’s use for path planning in construction sites.
Presented at Computing in Civil Engineering 2023 (pp. 197–204)

Guideline for Automated Construction of Reinforced Concrete Beams Using 3D Printing and BIM (2023)

Alzarrad, A., Song, S., Hatamleh, M., Awolusi, I., and Chowdhury, S.
This study presents guidelines for automating concrete beam construction via 3D printing and BIM.
Presented at Computing in Civil Engineering 2023 (pp. 724–729)

Effectiveness and Practicability Analysis of BIM Adoption in the AEC Industry (2021)

Song, S., Zhang, C., and Marks, E.
This research evaluates the effectiveness of BIM adoption and identifies practical barriers in AEC.
Presented at Computing in Civil Engineering 2021 (pp. 530–537)

Fuzzy Multi-Criteria Decision-Making Model for Time-Cost-Risk Trade-Off Optimization in Construction Projects (2019)

Alzarrad, M.A., Moynihan, G., Hatamleh, M.T., and Song, S.
This paper presents a fuzzy MCDM model for balancing time, cost, and risk in construction project decisions.

Impact Variables of Dump Truck Cycle Time for Heavy Excavation Construction Projects (2017)

Song, S., Marks, E., and Pradhananga, N.
This paper identifies key factors affecting dump truck cycle times in heavy excavation projects.

The Future of Housing: Modular Construction and Its Potential for Affordable Living in the US: A Case Study (2024)

Khorshid, S., Song, S., and Hudson, H
The study explores modular construction as a solution to the affordable housing crisis.
Presented at Construction Research Congress 2024 (pp. 92–101)

A Software-Based Approach for Acoustical Modeling of Construction Job Sites with Multiple Operational Machines (2020)

Sherafat, B., Rashidi, A., and Song, S.
This paper presents a software-driven acoustical model to assess jobsite noise levels.
Presented at Construction Research Congress 2020 (pp. 886–895)

Assessing Usability, Frequency, and Efficiency of Fall Hazard Prevention Devices in Construction: Development of a Comprehensive Questionnaire for Evaluation (2024)

Marchiori, R., Song, S., Ajasa, S., and Lyu, P.
This paper presents a comprehensive questionnaire tool to evaluate fall hazard prevention device effectiveness.
Presented at Construction Research Congress 2024 (pp. 518–527)

Identifying Risk Factors Among New and Inexperienced Miners for Surface Mining Accidents (2023)

Lyu, P. and Song, S.
This study identifies critical risk factors for new/inexperienced miners in surface mining.
Presented at Computing in Civil Engineering 2023 (pp. 590–597)

A Study on Assessing the Awareness of Heat-Related Illnesses in the Construction (2022)

Song, S. and Zhang, F.
This study evaluates construction workers’ awareness of heat-related illnesses and implications for safety planning.
Presented at Construction Research Congress 2022 (pp. 431–440)

E-procurement Best Practices in The U.S. Construction Industry (2022)

Alzarrad, A., Akbar, H., Awolusi, I., and Song, S.
This paper outlines best practices and emerging trends in e-procurement for the construction industry.
Presented at ASC International Conference 2022, Atlanta, GA