Publications

A. JOURNALS

1. Jaiswal, R., Xu, M., Yang, C., & El-Dakhakhni, W. (2026). Future-Proofing Bridges in Floodplains against Climate Change: Evaluation of Bridge Performance under Climate-Exacerbated Flood Hazards. Journal of Bridge Engineering. (under review). 

2. Jaiswal, R., Yang, C., & El-Dakhakhni, W. (2026). Surrogate-Based Fragility Modelling of Shallow Foundation Bridges Subjected to Scour and Traffic Loads. Engineering Structures. (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). Link 

4. Jaiswal, R., Bhatta, N., & Muhit, I. (2026). Data-Driven Machine Learning Model for Predicting Shear Capacity of Ultra High-Performance Concrete Girders. Structures. (accepted).

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. (accepted). Link

6. Jaiswal, R., Bhatta, N., Yadav, U.S., & Jha, A. (2025). Predicting Freeze–Thaw Resistance in Geopolymer Concrete: An Interpretable ML Model with Practical Deployment. Journal of Materials in Civil Engineering. (accepted)

7. Jaiswal, R., Yang, C., & El-Dakhakhni, W. (2026). Fragility Assessment of Bridges Subjected to Dynamic Impact of Automated Truck Platooning–Bridge Interaction. (under draft). 

8. Jaiswal, R., & Yang, C. (2026). Evaluating International Corrosion Standards for Assessing Corrosion Rate of Buried Steel Structures Using Field-Measured Data.  (under draft). 

9. Jaiswal, R., Ye. G., & Yang, C. (2026). A Physics-Informed Machine Learning Model for Predicting the Corrosion Rate of Steel Structures Buried in Soil. (under draft). 

10. Jaiswal, R., Ye, G., & Yang, C. (2026). GenAI-Aided Machine Learning Model to Predict the Maximum Pitting Corrosion of Steel Structures Embedded in Soil. (under draft)

11. Jaiswal, R., Bhatta, N. & I. Muhit (2026). Predicting Capacity of Ultra High Performance Concrete Composite Beams Using Deep Generative Modeling and Ensemble Learning. Engineering Structures. (under review)

12. Xu, M., Jaiswal, R., Yang, C., & Mohsin, E. (2026). A Multiscale Risk Assessment for Maintenance Prioritization of Highway Bridges Against Run-Off-Road Vehicle Collisions. Journal of Bridge Engineering. (under review). 

13. Xu, M., He, H., Jaiswal, R., & Yang, C. (2025). 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. (accepted). 

14. 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. Link 

15. 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. Link 

16. Jha, M. K., Jaiswal, R., Varma, D. S. K., Rankavat, S., Bachu, A. K., & Jha, P. K. (2025). A Machine Learning Approach to Traffic Congestion Hotspot Identification and Prediction. J Future Transportation, 5(4), 161. Link 

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

18. 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. Link

B. CONFERENCES

1. Jaiswal, R., Yang, C., & El-Dakhakhni, W. (2026). Parameterized Fragility Assessment of Scour-Prone Shallow Foundation Bridges Using Surrogate Model. In 105th Transportation Research Board (TRB) Annual Meeting, Washington D.C., USA, Jan. 2026. Paper

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. Paper

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., Berwick, D., Gillen, H., & Yang, C. (2026). Benchmarking Soil-Induced Corrosion of Steel Piles: Are Our Codes Too Conservative - or Not Conservative Enough?  In International Conference on Short and Medium Span Bridges (SMSB), Vancouver, Canada.  Aug 2026. (submitted) 

5. Jaiswal, R., Ye, G., Berwick, D., Gillen, H., & Yang, C. (2026). Statistical Characterization of Steel Pile Corrosion Under Varied Soil and Groundwater Conditions. In Canadian Society of Civil Engineering Annual Conference, Montreal, Canada, June 2026. (accepted)

6. Ye, G., Jaiswal, R., & Yang, C. (2026). Axial Capacity of In-Service H-Piles with Localized Corrosion in Incompetent Soils.
   In Canadian Society of Civil Engineering Annual Conference (CSCE), Montreal, Canada, June 2026. (accepted)

7. Ye, G., Jaiswal, R., Huh, B., & Yang, C. (2026). Do Fully Embedded, Axially Loaded Piles Need a Buckling Check? If Yes, When?  In International Conference on Short and Medium Span Bridges (SMSB), Vancouver, Canada.  Aug 2026. (submitted) 

8. Jha, P., Yadav, R., Jaiswal, R., Dadzoe, F., & Jha, M.K. (2026). Generative Models for Synthetic Transit Trip Data: A Comparative Study of CTGAN and TVAE for Travel Behavior Analysis. World Conference on Transport Research (WCTR). July 2026, Toulouse, France. (under review) 

9. 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.

10. 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. 

11. 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.

12. 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 (CSCE) 2024, Volume 14. Lecture Notes in Civil Engineering, vol 731. Springer, Cham. Link

13. 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. Link

14. 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. Link

15. 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. Transportation Research Procedia, 82, 2708-2723. World Conference of Transportation Research, Montreal, Canada, July 2023. Link

16. 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. Link 

17. 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. Link

18. 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. Link

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. Link

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. Link