Publications

A. JOURNALS

1. Jaiswal, R., Xu, M., Yang, C., & El-Dakhakhni, W. (2025). Future-Proofing Riverine Bridges in Coastal Region: Evaluation of Bridge Performance under Climate Change-Induced Flood Hazards. Structure & Infrastructure Engineering. Taylor & Francis. (under review). 

2. Jaiswal, R., Yang, C., & El-Dakhakhni, W. (2025). Parameterized Fragility Assessment of Riverine Bridges Subjected to Scour Severity and Traffic Load. Journal of Structural Engineering. ASCE (under review). 

3. Jaiswal, R., Jha, M. K., Ogallo, H. G., & Archita, A. (2025). Assessing Disparities in Road Transport Services in Kenya: Geographic Information System and Machine Learning Approach. Transportation Research Record, 2679(9). SAGE Publishing https://doi.org/10.1177/03611981251362161 

4. Jaiswal, R., Bhatta, N., & Muhit, I. (2025). Data-Driven Machine Learning Model for Predicting Shear Capacity of Prestressed Ultra High-Performance Concrete Bridge Girders. Structures.  Elsevier (under review).

5. Jaiswal, R., Gautam, R., & Yadav, U.S. (2025). AI-Enhanced Data-Driven Approach to Model the Mechanical Behavior of Sustainable Geopolymer Concrete. Journal of Structural Design and Construction Practices. ASCE (in revision). 

6. Jaiswal, R., Bhatta, N., Yadav, U.S., & Jha, A. (2025). Integrated Framework to Estimate the Durability of Geopolymer Concrete Subjected to Harsh Conditions. ASCE Journal of Materials in Civil Engineering. Taylor & Francis (in revision). 

7. Jaiswal, R., Yang, C., & El-Dakhakhni, W. (2025). Fragility Assessment of Bridges Subjected to Dynamic Impact of Automated Truck Platooning–Bridge Interaction. (under draft). 

8. Jaiswal, R., Ye, G., & Yang, C. (2025). Regional-Scale Vulnerability Mapping of Soil Corrosivity Risks for Underground Carbon Steel Structures Across Ontario. (under draft). 

9. Jaiswal, R., & Bhatta, N. (2025). Predicting Failure Modes and Load Capacity of UHPC Beams Using Deep Generative Modeling and Ensemble Learning. Target Journal: Engineering Structures. (under draft)

10. Xu, M., Jaiswal, R., Yang, C., & Mohsin, E. (2024). Multiscale Risk Assessment for Maintenance Prioritization of Highway Bridges Against Run-Off-Road Vehicle Collisions. Journal of Bridge Engineering. ASCE (under review). 

11. Xu, M., He, H., Jaiswal, R., & Yang, C. (2024). Near-Ground Lateral Load Tests: Evaluating Ultra-High-Performance Concrete for Enhanced Shear Performance in Precast Column-to-Pile Pier Systems. Journal of Structural Engineering. ASCE (in revision). 

12. Riyad, R. H., Jaiswal, R., Muhit, I. B., & Shen, J. (2024). Optimizing Modified Asphalt Binder Performance at High and Intermediate Temperatures Using Experimental and Machine Learning Approaches. Construction and Building Materials, 449, 138350. Elsevier https://doi.org/10.1016/J.CONBUILDMAT.2024.138350. 

13. Jha, M. K., & Jaiswal, R. (2024). A Machine Learning Model to Predict Cyberattacks in Connected and Autonomous Vehicles. Journal of Computational and Cognitive Engineering, 3(3), 307–315. Bon View Publishing. https://doi.org/10.47852/bonviewJCCE42022066. 

14. Jha, M. K., Jaiswal, R., Varma, D. S. K., Rankavat, S., & Bachu, A. K. (2024). Integrating Geospatial Modeling with a Neural Network for Traffic Congestion Hotspot Identification and Travel-Time Prediction. Journal of the International Association of Traffic and Safety Sciences. Elsevier (in revision). Available at http://dx.doi.org/10.2139/ssrn.4829782. 

15. Chhetri, N. P., Jaiswal, R., & Poudel, R. (2024). Resilient Roads in Challenging Terrain: A Case Study of Siddhartha Highway in Nepal. Discover Civil Engineering, 1, 76. Springer Nature https://doi.org/10.1007/s44290-024-00079-7. 

16. Jha, M. K., Jaiswal, R., & Yadav, R. (2025). A Traffic Conflict Resolution Model Using Edge Computing for Urban Arterial Networks.
    J. Applied Science. MDPI (under review). 

B. CONFERENCES

1. Jaiswal, R., Yang, C., & El-Dakhakhni, W. (2026). Application of Surrogate Modeling for the Fragility Assessment of Bridges Subjected to Scour Severity. In 105th Transportation Research Board (TRB) Annual Meeting, Washington D.C., USA, January 2026 (accepted) 

2. Jaiswal, R., Jha, M. K., & Ogallo, H. (2025). A GIS and Machine Learning Approach to Assess Disparities in Road Transport Services. In 104th Transportation Research Board (TRB) Annual Meeting, Washington D.C., USA, January 2025.

3. Jaiswal, R., Jha, M. K., & Yadav, R. (2025). Investigating Regional Disparities in Nepal’s Road Network with Machine Learning. In 3rd International Conference Transportation Infrastructure Projects: Conception to Execution (TIPCE), Roorkee, India, September 2025. 

4. Jaiswal, R., Ye, G., Yang, C., & El-Dakhakhni, W. (2026). Comparative Assessment of International Soil Corrosivity Standards for Predicting Buried Steel Corrosion Rates. In International Conference on Short and Medium Span Bridges (SMSB), Vancouver, Canada.  Aug 2026. (abstract submitted) 

5. Jaiswal, R., Ye, G., Yang, C., & El-Dakhakhni, W. (2026). Global Analysis of Soil Parameters Influencing Steel Corrosion and Implications for the CHBDC Corrosivity Guidelines. In the Canadian Society of Civil Engineering Annual Conference (CSCE), Montreal, Canada, June 2026. (abstract submitted)

6. Jha, M. K., Jaiswal, R., & Yadav, R. (2026). An Integrated Computational Grid and Machine Learning-based Active Learning Framework for Intelligent Traffic Management.  In 105th Transportation Research Board (TRB) Annual Meeting, Washington D.C., USA. January 2026 (under review) 

7. Jha, P., Yadav, R., Jaiswal, R., Dadzoe, R., & Jha, M.K. (2026) Generating High-Fidelity Synthetic Populations with Integrated Travel Behavior Using Generative Adversarial Networks: A Case Study from Minnesota. World Conference on Transport Research (WCTR). July 2026, Toulouse, France. (under review) 

8. Jha, M. K., Dadzoe, F., Jaiswal, R., & Yadav, R. (2025). Using Machine Learning to Examine the Disparity in Transportation Equity.  In Proceedings of 8th International Conference of the Transportation Research Group of India (CTRG 2025), Guwahati, India.

9. He, H., Xu, M., Jaiswal, R., & Yang, C. (2025). Ultra-High-Performance Concrete for Capacity-Protected Pile Shafts in Precast Column-to-Pile Pier Systems. In 9th International Conference on Advanced Composite Materials in Bridges and Structures (ACMBS-IX), Winnipeg, Canada, May 2025. 

10. Jha, M. K., & Jaiswal, R. (2024). Application of artificial intelligence to predict cyberattacks in connected and autonomous vehicles. In Ai4: Artificial Intelligence Conference, Las Vegas, August 12-14, 2024.

11. Jaiswal, R., Xu, M., Li, J., Crocker, W., Yang, H., Yang, C., & El-Dakhakhni, W. (2024). Coastal bridge climate vulnerability mapping: Network-level flood scour risk assessment in Nova Scotia. In Proceedings of the Canadian Society of Civil Engineering Annual Conference, Niagara Falls, Canada, June 2024.

12. Xu, M., Jaiswal, R., Yang, C., Mohsin, E. (2025). Run-off-Road Vehicle Collision Risk Assessment for Highway Bridge Networks in Ontario. In Proceedings of the Canadian Society for Civil Engineering Annual Conference (CSCE) 2024, Volume 13. Lecture Notes in Civil Engineering, vol 681. Springer, Cham. https://doi.org/10.1007/978-3-031-96763-4_2

13. Jaiswal, R., & Mahajan, A. (2023). Comparative analysis of building with shear wall & diagrid structure. In IOP Conference Series: Earth and Environmental Science (Vol. 1110, No. 1, p. 012033). IOP Publishing. https://doi.org/10.1088/1755-1315/1110/1/012033

14. Jaiswal, R., Bachu, A. K., & Jha, M. K. (2023). A statistical and machine learning framework for measuring the economic impact of reduced travel due to COVID-19 in Maryland. In Transport Research Procedia: World Conference of Transportation Research, Montreal, Canada, July 2023. http://dx.doi.org/10.13140/RG.2.2.11861.81127

15. Jha, M. K., Jaiswal, R., Varma, D. S. K., Rankavat, S., & Bachu, A. K. (2023). A machine learning approach to traffic congestion hotspot identification and prediction. In World Conference of Transportation Research, Montreal, Canada, July 2023. http://dx.doi.org/10.2139/ssrn.4829782

16. Jaiswal, R., Jha, M. K., & Bachu, A. K. (2023). Impact of COVID-19 on roadway travel behavior: Comparative study of the state of Washington & Maryland, USA. In Proceedings of 7th International Conference of the Transportation Research Group of India (CTRG 2023), Surat, India, 17-20 December 2023. https://doi.org/10.1007/978-981-96-1037-2_4

17. Jha, M. K., Jaiswal, R., & Bachu, A. K. (2023). A bi-layered machine learning model for travel-time prediction along a congested section of I-495, USA. In Proceedings of 7th International Conference of the Transportation Research Group of India (CTRG 2023), Surat, India, 17-20 December 2023. https://doi.org/10.1007/978-981-96-1037-2_17

C. BOOK CHAPTERS

1. Thorat, A., Tundalwar, M., Jaiswal, R., Gade, A., & Joshi, S. (2024). Global analytics for bridge management and global analytics for resilience and risk management. In Navigating from Deteriorated to Resilient Bridges (pp. 1-24). UBMS Research Group. ISBN: 978-93-6013-596-6. https://ubmsresearchgroup.com/blog-grid/

2. Thorat, A., Tundalwar, M., Jaiswal, R., Gade, A., & Joshi, S. (2024). Methodology to evaluate the impact of natural hazards on the deterioration process in existing bridges. In Navigating from Deteriorated to Resilient Bridges, Vol 1 (pp. 25-48). UBMS Research Group. ISBN: 978-93-6013-596-6. https://ubmsresearchgroup.com/blog-grid/