Journal Publications: *Advised students are underlined.
28 Journal Papers - 25 Conference Proceedings
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[28] Qin, R., Mansouri, A., Zhen, D., Erfani, A., Cui, Q., (2026). LLMs as Research Instruments for Problems in Engineering Management: A Context Modeling Framework. Journal of Management in Engineering, Accepted.
[27] Mansouri, A., Shayesteh, N., Erfani, A. (2026). Pavement Condition Classification: Empirical Evidence from Machine Learning Models with Data Augmentation, International Journal of Pavement Research and Technology, Accepted.
[26] Shaheen, Q., Erfani, A., Zheng, D., Mohammed, M., Cui, Q., (2026). ChatGPT as a Training Coach: Pattern-Specific Outcomes in Build America Buy America Act Training. Journal of Management in Engineering, Accepted.
[25] Erfani, A.,+ & Naghdi, M. (2026). What drives risk similarity across construction projects? An explainable machine learning analysis using GPT-based embeddings. Advanced Engineering Informatics, 73, 104543. [Link]
[24] Naghdi, M., Erfani, A.+, Geary, G., Ashuri, B. (2026). Price Adjustment Clauses in Highway Construction: State-of-the-Practice, Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, 18(2) [Link]
[23] Sadeghi, M., Mansouri, A., Erfani, A.+ (2026) Vision Language Models Application for Highway Roadside Safety analysis, Journal of Management in Engineering. 42(1) [Link]
[22] Erfani, A.+ & Mansouri, A., (2026) Applications of multimodal large language models in construction industry. Advanced Engineering Informatics, 69, 103909. [Link]
[21] Erfani, A.+, Mansouri, A., (2025). Uncertainty-Aware Pavement Roughness Forecasting Using Adaptive Conformal Prediction, International Journal of Pavement Research and Technology, 1-19, [Link]
[20] Adnan, T., & Erfani, A+. (2025). Explainable AI for Predicting Pavement Roughness under Maintenance and No-Maintenance Scenarios. Results in Engineering, 108666. [Link]
[19] Erfani, A.+ & Khanjar, H., (2025) Large Language Models for Construction Risk Classification: A Comparative Study. Buildings, 15(18), 3379. [Link]
[18] Erfani, A.+, Shayesteh, N., Adnan, T., (2025). Data Augmented Explainable AI for Pavement Roughness Prediction, Automation in Construction, [Link]
[17] Adnan, T., Erfani, A.+, Cui, Q. (2025). Paving Equity: Unveiling Socioeconomic Patterns in Pavement Conditions Using Data Mining. Journal of Management in Engineering. [Link]
[16] Mansouri, A., & Erfani, A. (2025). Machine Learning Prediction of Urban Heat Island Severity in the Midwestern United States. Sustainability, 17(13), 6193. [Link]
[15] Mansouri, A., Naghdi, M., & Erfani, A.+ (2025). Machine Learning for Leadership in Energy and Environmental Design Credit Targeting: Project Attributes and Climate Analysis Toward Sustainability. Sustainability, 17(6), 2521 [Link]
[14] Naghdi, M., Lautala, P., & Erfani, A.+ (2024). Assessing visibility at highway-rail grade crossings using light detection and ranging (LiDAR) technology. Heliyon, 10(22). [Link]
[13] Mansouri, A., & Erfani, A.+ (2024). Gender Disparity and Self-Presentation on Social Media among AEC Industry Leaders. Journal of Management in Engineering, 40(5), 04024042. [Link]
[12] Erfani, A.+, & Frias-Martinez, V. (2023). A fairness assessment of mobility-based COVID-19 case prediction models. Plos one, 18(10), e0292090. [Link]
[11] Erfani, A., Cui, Q., Baecher, G., & Kwak, Y., (2023). Data-Driven Approach to Risk Identification for Major Transportation Projects: A Common Risk Breakdown Structure, IEEE Transactions on Engineering Management, 71, 6830-6841. [Link]
[10] Erfani, A., Hickey, P. J., & Cui, Q. (2023). Likeability versus competence dilemma: Text mining approach using LinkedIn data. Journal of Management in Engineering, 39(3), 04023013. [Link]
[9] Erfani, A., Ma, Z., Cui, Q., & Baecher, G. B. (2023). Ex post project risk assessment: Method and empirical study. Journal of Construction Engineering and Management, 149(2), 04022174. [Link]
[8] Hickey, P. J., Erfani, A., & Cui, Q. (2022). Use of LinkedIn data and machine learning to analyze gender differences in construction career paths. Journal of Management in Engineering, 38(6), 04022060. [Link]
[7] Zhang, K., Erfani, A., Beydoun, O., & Cui, Q. (2022). Procurement benchmarks for major transportation projects. Transportation Research Record, 2676(11), 363-376. [Link]
[6] Erfani, A., & Cui, Q. (2022). Predictive risk modeling for major transportation projects using historical data. Automation in Construction, 139, 104301. [Link]
[5] Erfani, A., Zhang, K., & Cui, Q. (2021). TAB bid irregularity: Data-driven model and its application. Journal of Management in Engineering, 37(5), 04021055. [Link]
[4] Erfani, A., Cui, Q., & Cavanaugh, I. (2021). An empirical analysis of risk similarity among major transportation projects using natural language processing. Journal of Construction Engineering and Management, 147(12), 04021175. [Link]
[3] Li, L., Erfani, A., Wang, Y., & Cui, Q. (2021). Anatomy into the battle of supporting or opposing reopening amid the COVID-19 pandemic on Twitter: A temporal and spatial analysis. Plos one, 16(7), e0254359. [Link]
[2] Erfani, A., Tavakolan, M., Mashhadi, A. H., & Mohammadi, P. (2021). Heterogeneous or homogeneous? A modified decision-making approach in renewable energy investment projects. AIMS Energy, 9(3). [Link]
[1] Erfani, A., & Tavakolan, M. (2023). Risk evaluation model of wind energy investment projects using modified fuzzy group decision-making and monte carlo simulation. Arthaniti: Journal of Economic Theory and Practice, 22(1), 7-33. [Link]
Conference Proceedings:
[25] Khanjar, H., Erfani, A. (2026). Binary and Multi-Class Crash Severity Prediction: A Cross-Algorithm Analysis, International Conference on Transportation & Development. Accepted.
[24] Naghdi, M., Erfani, A., Ashuri, B. (2026). Data-Driven Assessment of Fuel Price Adjustment Clauses and Bid Pricing Patterns in Highway Construction. International Conference on Transportation & Development. Accepted.
[23] Naghdi, M., Erfani, A. (2026). Tabular Fields and Narrative Text for Highway-Rail Grade Crossing Severity Assessment. International Conference on Transportation & Development. Accepted.
[22] Erfani, A., Mansouri, A., Naghdi, M. (2026). Large Language and Vision Models for Construction Workflows: A Literature Review, Construction Research Congress, Accepted.
[21] Adnan, T., Naghdi, M., Erfani, A. (2026). Comparative AI-Based Forecasting of Pavement Conditions Under Maintenance and No-Maintenance Scenarios, Construction Research Congress, Accepted.
[20] Soroush, M., Erfani, A. (2026). A Literature Review on Artificial Intelligence application in Construction Legal Issues, Construction Research Congress, Accepted.
[19] Sadeghi, M., Mansouri, A., Erfani, A. (2026). Guardrail Detection in Rural Roads Using Zero- and Few-Shot Learning with Vision Language Models. Construction Research Congress, Accepted.
[18] Erfani, A., Erfani, M. (2026). Comparing NLP and LLM Approaches for Risk Classification using Unstructured Data. Construction Research Congress, Accepted.
[17] Mansouri, A., Erfani, A. (2025). Career Mobility in Construction Leadership: Insights from LinkedIn Recommendations and data-driven Analysis. Computing in Civil Engineering 2025. [Link]
[16] Ahmadi, F., Naghdi, M., Erfani, A. (2025). Minorities Representation in State Department of Transportation: A Descriptive Analysis. International Conference on Transportation & Development. [Link]
[15] Adnan, T., Erfani, A. (2025). Equitable Infrastructure Management: A Systematic Literature Review. International Conference on Transportation & Development. [Link]
[14] Naghdi, M., Lautala, P., Erfani, A. (2025). Remote Sightline Inspection at Highway-Rail Grade Crossings Using LiDAR Data and Geospatial Analysis. International Conference on Transportation & Development. [Link]
[13] Adnan, T., Erfani, A. (2024). Uncovering Socioeconomic Features in Pavement Conditions Through Data Mining: A Two-step Clustering Model. IEEE Winter simulation. [Link]
[12] Erfani, A., Mansoori, A., & Khan, S. (2024). Unconscious Bias in Self-Presentation: Exploring Gender Disparities in Leadership within the Transportation Industry. In International Conference on Transportation and Development 2024 (pp. 441-452). [Link]
[11] Erfani, A. Cui, Q. & DeCorla-Souza, P. (2024). Exploring the Potential of a Crowdfunding Program to Achieve Equitable EV Charging Infrastructure. TRB Annual Meeting Presentation.
[10] Erfani, A., Mahmoudi, J. & Cui, Q. (2024). Measuring Social Equity in Pavement Conditions Using Big Data. In Construction Research Congress 2024 (pp. 23-32). [Link]
[9] Erfani, A., Zhang, K. & Cui, Q. (2024). A Stakeholder-Centered Approach to Measure the Market Resiliency in Transportation Projects Using Social Network Analysis. In Construction Research Congress 2024 (pp. 42-49). [Link]
[8] Erfani, A., & Cui, Q. (2023). Application of LinkedIn Data and Image Processing to Analyze Construction Career Paths: Does Race Matter?. In Computing in Civil Engineering 2023 (pp. 882-889). [Link]
[7] Erfani, A., Ma, Z., Cui, Q., & Baecher, G. (2023). Data-Driven Evaluation of Project Risk Registers. In Geo-Risk 2023 (pp. 152-160). [Link]
[6] Erfani, A., Villeda, V. H., & Cui, Q. (2022). Artificial intelligence application for risk template generation in major transportation projects. In Construction Research Congress 2022 (pp. 21-29). [Link]
[5] Mohammadi, P., Ramezanianpour, A. M., & Erfani, A. (2022). Identifying and prioritizing criteria for selecting sustainable façade materials of high-rise buildings. In Construction Research Congress 2022 (pp. 583-593). [Link]
[4] Hickey, P. J., Hercules, V., Johnson, A., Erfani, A., & Cui, Q. (2022). A Gender Analysis of Construction Executive Career Path Progression Using LinkedIn Data. In Construction Research Congress 2022 (pp. 706-714). [Link]
[3] Erfani, A., & Cui, Q. (2021). Natural language processing application in construction domain: An integrative review and algorithms comparison. Computing in Civil Engineering 2021, 26-33. [Link]
[2] Cui, Q., & Erfani, A. (2021). Automatic detection of construction risks. In ECPPM 2021-eWork and eBusiness in Architecture, Engineering and Construction (pp. 184-189). CRC Press. [Link]
[1] Erfani, A., Tavakolan, M., "Challenges in renewable energy investment projects: identification of the main criteria and risks." Proceeding of 3rd international conference on applied researchers in Structural Engineering and construction management (2019) [Link]
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