1. Zhu, T., Que, H., & Yao, H. (2026). Road infrastructure readiness evaluation for commercial low-level autonomous vehicles. ASCE International Conference on Transportation and Development (ICTD) 2026 (accepted).

2. Adeel, M., Khattak, A. J., & Ashfaq, M. (2026). Navigating mobility in later life: How vehicle access and community context shape travel behaviour among older adults. Travel Behaviour and Society, 43, 101190. https://doi.org/10.1016/j.tbs.2025.101190

3. Pang, Y., Ni, Z., & Zhong, X. (2026). Decoupling shared and personalized knowledge: A dual-branch federated learning framework for multi-domain with non-IID data. Proceedings of the AAAI Conference on Artificial Intelligence, 40(29), 24745–24754.

4. Agarwal, P., Bagchi, D., Rambha, T., & Pandey, V. (2026). A bi-criterion Steiner traveling salesperson problem with time windows for last-mile electric vehicle logistics. Computers & Operations Research, 185. https://doi.org/10.1016/j.cor.2025.107286

5. Saeidi, S., Kaisar, E., & Babapour, M. (2026). Multi-objective inventory routing problem with respect to backhaul orders using tolls. Sustainability, 18(4), 1717. https://doi.org/10.3390/su18041717

6. Saeidi, S., Manikkavasagam, N., Nagarajan, S., & Kaisar, E. (2026). A data-driven spatial framework for autonomous shuttle readiness in rural Florida. ASCE ICTD 2026.

7. Yang, Y., Xu, N., & Yang, J. (2025). Structured prompting and multi-agent knowledge distillation for traffic video interpretation and risk inference. Computers, 14(11), 490. https://doi.org/10.3390/computers14110490

8. Yang, Y., Xu, N., & Yang, J. (2025). Multi-agent visual-language reasoning for comprehensive highway scene understanding. Applied Computing and Intelligence, 5(2), 315–336. https://doi.org/10.3934/aci.2025018

9. Xu, N., & Yang, J. (2025). Leveraging scene geometry and depth information for robust image deraining. Computers, 14(1), 11. https://doi.org/10.3390/computers14010011

10. Usman, S. M., Khattak, A. J., & Patwary, A. L. (2025). Are there differences in public interest toward automated vehicles’ ownership in burdened and non-burdened communities? Transportation Planning and Technology, 1–28. https://doi.org/10.1080/03081060.2025.2546096

11. Alaka, O. B., Pandey, V., & Khattak, A. (2025). Investigating automated shuttle readiness for rural areas: A North Carolina case study. Transportation Research Record, 0(0). https://doi.org/10.1177/03611981251378138

12. Adeel, M., Khattak, A., Usman, S. M., & Moradloo, N. (2025). Are we ready for highly automated vehicles? Evaluating automated driving systems’ safety and reliability using inverse probability weighted regression adjustment. Journal of Intelligent Transportation Systems, 1–20. https://doi.org/10.1080/15472450.2025.2602132

13. Sabit, M. O. (2025). Estimating the benefits of a shuttle service for healthcare providers (Master’s thesis, University of Kentucky).

14. Matute, J., Searcy, S., & Karimoddini, A. (2025). The Aggie Auto Shuttles: Technical insights from the first public road demonstration. Transportation Engineering, 20. https://doi.org/10.1016/j.treng.2025.100335

15. Zhong, X., & Ni, Z. (2025). Intelligent control in asymmetric decision-making: An event-triggered RL approach for mismatched uncertainties. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 55(10), 7288–7301. https://doi.org/10.1109/TSMC.2025.3583066

16. Beck, J. W. (2025). Advancing safety validation and testing of autonomous vehicles using advanced simulation techniques (Doctoral dissertation, University of Tennessee).

17. Davis, M. C., & Brakewood, C. (2025). Dialysis, doctors, and other destinations in rural Tennessee: A comparative analysis of demand response transportation trips by age, gender, and disability status. Transportation Research Record. https://doi.org/10.1177/03611981251370342

18. Tavasoli, M., Sarrafzadeh, A., Khaleghi, M., Zakaria, M., Pasandi, H. B., & Karimoddini, A. (2025). Data communication challenges of connected and automated vehicles in rural areas. IEEE Access, 13, 29220–29251. https://doi.org/10.1109/ACCESS.2025.3539598

19. Hridoy, D. N., Tasnia, R., Pandey, V., Rijal, B., & Hasnine, M. S. (2025). Combined revealed-and stated-preference survey to understand the impact of multi-source real-time information on travel mode choice. Transportation Research Record. https://doi.org/10.1177/036119812413115

20. Pena-Bastidas, J., Liu, J., Jones, S., & Lee, H. Y. (2025). The role of emerging mobility solutions in shaping care-seeking behaviors in rural communities: A national survey with stated choice experiment. Transport Policy, 162, 313–324. https://doi.org/10.1016/j.tranpol.2024.12.016

21. Arab, A., Khaleghi, M., Partovi, A., Abbaspour, A., Shinde, C., Mousavi, Y., Azimi, V., & Karimoddini, A. (2025). High-resolution safety verification for evasive obstacle avoidance in autonomous vehicles. IEEE Open Journal of Vehicular Technology, 6, 276–287. https://doi.org/10.1109/OJVT.2024.3519951

22. Yang, Y., Zhen, H., Huang, Y., & Yang, J. J. (2025). Enhancing nighttime vehicle detection with day-to-night style transfer and labeling-free augmentation. Applied Computing and Intelligence, 5(1), 14–28. https://doi.org/10.3934/aci.2025002

23. Ni, Z., Pang, Y., & Zhong, X. (2025). A fast federated reinforcement learning approach with phased weight-adjustment technique. Neurocomputing. https://doi.org/10.1016/j.neucom.2025.129550

24. Lin, Y., Ni, Z., & Zhong, X. (2025). Learning from demonstrations: A computationally efficient inverse reinforcement learning approach with simplified implementation. IEEE Transactions on Emerging Topics in Computational Intelligence. https://doi.org/10.1109/TETCI.2025.3526502

25. Lin, Y., & Ni, Z. (2025). A robust multi-virtual-agent inverse reinforcement learning approach with data aggregation for perturbed environments. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2025.3531839

26. Gulati, K., Pandey, V., Manikkavasagam, N., Reginato, A. Jr., Lidbe, A., & Nagarajan, S. (2025). Comparative analysis of macro- and micro-level measures of healthcare access in urban and rural areas. Transportation Research Record. https://doi.org/10.1177/03611981251380266

27. Zhang, Z., Liu, J., Qian, X., Guo, S., Yang, C., & Jones, S. (2025). Envisioning shared autonomous vehicles (SAVs) for 374 small and medium-sized urban areas in the United States: The roles of road network and travel demand. Journal of Transport Geography, 127. https://doi.org/10.1016/j.jtrangeo.2025.104302

28. Stavropoulou, E., Stamatiadis, N., Staats, W., Wang, T., & Souleyrette, R. (2025). Benefits and impacts of complete streets. In E. G. Nathanail, N. Gavanas, & E. Adamos (Eds.), Climate crisis and resilient transportation systems. Springer. https://doi.org/10.1007/978-3-031-82714-3_1

29. Farzinpour, F., Sarasua, W., Davis, W., Murray-Tuite, P., & Cassule, L. (2025). A comparison of methods for collecting highway horizontal curve attributes. Transportation Research Record. https://doi.org/10.1177/03611981251372090

30. Jones, S., Karimoddini, A., Kreis, D., & Flinchum, D. (2025). Advancing rural transportation through the USDOT university transportation center program. ITE Journal.

31. Saeidi, S., Kaisar, E., & Moreno, F. (2025). A novel multi-objective inventory routing problem with backhaul orders in a multi-attribute multigraph. European Control Conference (ECC). https://doi.org/10.23919/ECC65951.2025.11187200

32. Saeidi, S., Moreno, F., Kaisar, E., Ni, Z., & Shahin, M. (2025). Risk-aware inventory routing in rural transportation systems with link-access tolls. TAAI 2025. https://doi.org/10.36227/techrxiv.176153530.05723416/v1

33. Ioannou, I. P., Nagarajan, S., & Kaisar, E. (2025). Optimizing rural healthcare accessibility evaluation with AI-driven gravity–radiation modeling. International Congress on Transportation Research (ICTR).

34. Lin, Y., & Ni, Z. (2025). Adaptive inverse reinforcement learning in continuous-time systems using CNN-based feature extraction. IJCNN 2025.

35. Pang, Y., Ni, Z., & Zhong, X. (2025). Personalized observation normalization for federated reinforcement learning in heterogeneous environments. IJCNN 2025. https://doi.org/10.1109/IJCNN64981.2025.11229364

36. Pang, Y., Ni, Z., & Zhong, X. (2025). Integration of layer normalization into federated reinforcement learning for heterogeneous environments. SPIE Defense + Commercial Sensing. https://doi.org/10.1117/12.3053916

37. Dejene, M., Matute, J., & Karimoddini, A. (2025). Development and implementation of safe, human-like autonomous vehicle control on horizontal curves. IEEE ICM 2025. https://doi.org/10.1109/ICM62621.2025.10934884

38. Mengistu, T., Getahun, T., & Karimoddini, A. (2025). A robust radar-camera fusion for 2D object detection for autonomous driving. IEEE ITSC 2025. https://doi.org/10.1109/ITSC60802.2025.11423247

39. Martha, S. R. P., Javadi, A. M. M., Ghorai, P., Khorsandroo, S., & Karimoddini, A. (2025). Analyzing driver behavior distraction during animal crossing on rural roads. IISE Annual Conference 2025.

40. Getahun, T., & Karimoddini, A. (2025). From city streets to country roads: Can automated vehicles generalize lane detection? International Conference on Intelligent Driving and Smart Transportation 2025.

41. Getahun, T., & Karimoddini, A. (2025). Assessing lane marking visibility range in night-time driving. International Conference on Intelligent Driving and Smart Transportation 2025.

42. Zakaria, M., Getahun, T., & Karimoddini, A. (2025). AI-enabled traffic sign detection for rural operations of connected and automated vehicles. International Conference on Intelligent Driving and Smart Transportation 2025.

43. Tavasoli, M., Sarrafzadeh, A., Karimoddini, A., Khaleghi, M., Phuapaiboon, T., Goines, A., Harris, A., & Griffith, J. (2025). Trust-aware federated defense against data poisoning in ML-driven IDS for CAVs. IEEE PST 2025. https://doi.org/10.1109/PST65910.2025.11268885

44. Zhang, Z., Liu, J., Pena-Bastidas, J., & Jones, S. (2024). Charging infrastructure assessment for shared autonomous electric vehicles in 374 small and medium-sized urban areas: An agent-based simulation approach. Transport Policy, 155, 58–78. https://doi.org/10.1016/j.tranpol.2024.06.017

45. Seferian, M. A., & Yang, J. J. (2024). Enhancing autonomous vehicle safety in rain: A data-centric approach for clear vision. Applied Computing and Intelligence, 4(2), 282–299. https://doi.org/10.3934/aci.2024017

46. Beck, J., Huff, S., & Chakraborty, S. (2024). Diagnosing and predicting autonomous vehicle operational safety using multiple simulation modalities and a virtual environment. Accident Analysis and Prevention. https://doi.org/10.2139/ssrn.4734319

47. Beck, J., & Chakraborty, S. (2024). Fully embedded time-series generative adversarial networks. Neural Computing and Applications, 36(24), 14885–14894. https://doi.org/10.1007/s00521-024-09825-5

48. Yang, H. J., Beck, J., Hasan, M. Z., Beyazit, E., Chakraborty, S., Wongpiromsarn, T., & Sarkar, S. (2024). GENESIS-RL: Generating natural edge-cases with systematic integration of safety considerations and reinforcement learning. IEEE IAVVC 2024. https://doi.org/10.1109/IAVVC63304.2024.10786471

49. Huang, Y., & Yang, J. (2024). Symmetric contrastive learning for robust fault detection in time-series traffic sensor data. International Journal of Data Science and Analytics. https://doi.org/10.1007/s41060-024-00521-0

50. Matute, J., Khaleghi, M., & Karimoddini, A. (2024). Decentralized most permissive observer architecture for brake leakage diagnosis in automotive systems. IEEE Access, 12, 110457–110468. https://doi.org/10.1109/ACCESS.2024.10630519

51. Matute, J., Diaz, S., & Karimoddini, A. (2024). Sliding mode control for robust path tracking of automated vehicles. IEEE Open Journal of Vehicular Technology, 5, 1314–1325. https://doi.org/10.1109/OJVT.2024.3456035

52. Ma, S., Yang, J., Chorzepa, M., Morris, C., Kim, S., & Durham, S. (2024). Composite deep learning architecture for vehicle classification using vision transformers and wheel position features. SN Computer Science. https://doi.org/10.1007/s42979-023-02569-4

53. Azage, M., Matute, J., & Karimoddini, A. (2024). Learning from human driver demonstration for speed control of ground autonomous vehicles. IEEE ICIEA 2024, 1–8. https://doi.org/10.1109/ICIEA.2024.10664716

54. Getahun, T., & Karimoddini, A. (2024). An integrated vision-based perception and control for lane keeping of autonomous vehicles. IEEE Transactions on Intelligent Transportation Systems, 25(8), 9001–9015. https://doi.org/10.1109/TITS.2024.3376516

55. Le, N., Borlaug, B., Bruchon, M., Jonas, T., & Nguyen, H. T. (2024). Electrifying education: Insights into charging electric school buses in the United States. IEEE ISGT 2024. https://doi.org/10.1109/ISGT59692.2024.10454200

56. Zou, F., Ogle, J., Jin, W., Gerard, P., Petty, D., & Robb, A. (2024). Pedestrian behavior interacting with autonomous vehicles during unmarked midblock multilane crossings: Role of infrastructure design, AV operations and signaling. Transportation Research Part F, 100, 84–100. https://doi.org/10.1016/j.trf.2023.11.003

57. Zou, F., Ogle, J. H., Gerard, P., & Jin, W. (2024). How does pedestrians’ perception toward autonomous vehicles change during unmarked midblock multilane crossings? Transportation Research Record, 2679(4). https://doi.org/10.1177/03611981241289414

58. Lartey, B., Bedada, W., Yan, X., Homaifar, A., Karimoddini, A., & Tunstel, E. (2024). An efficient profit-aware scalable vehicle dispatch framework for on-demand ridesharing. IEEE Transactions on Industrial Cyber-Physical Systems, 2, 542–555. https://doi.org/10.1109/TICPS.2024.3446957

59. Zhang, Z., Yang, C., Liu, J., & Jones, S. (2024). Assessing the feasibility and viability of multimodal urban air mobility in small and medium-sized urban areas: Integration of shared autonomous vehicles and vertical take-off and landing vehicles. SSRN. https://doi.org/10.2139/ssrn.4995752

60. Zhang, X., & Chen, M. (2024). Developing a practical highway criticality assessment framework based on network connectivity and redundancy. Transportation. https://doi.org/10.1007/s11116-024-10540-2

61. Kluger, R. S., Karimi, A., Hosseinzadeh, A., Wang, T., Souleyrette, R., & Harding, E. (2024). A systematic review and meta-analysis of data linkage between motor vehicle crash and hospital-based datasets. Accident Analysis and Prevention, 197. https://doi.org/10.1016/j.aap.2024.107461

62. Patwary, A. L., & Khattak, A. (2024). Explainable artificial intelligence for decarbonization: Alternative fuel vehicle adoption in disadvantaged communities. International Journal of Sustainable Transportation, 18(5), 393–407. https://doi.org/10.1080/15568318.2024.2311813

63. Reginato, A., & Kaisar, E. (2024). Integrating geospatial analysis and traffic simulation to model flood impacts in rural areas. ITS European Congress 2024.

64. Saeidi, S., Shah, D., Kaisar, E., Moreno, F., Gulati, K., Chen, M., Huang, P., Pandey, V., & Ni, Z. (2024). Intelligent routing system for safe and efficient freight transportation in rural areas using autonomous truck platooning. Transpo2024.

65. Saeidi, S., Kaisar, E., Gulati, K., & Pandey, V. (2024). Deploying smart parking systems in rural areas: Integrating GIS and real-time data analytics to mitigate illegal truck parking. Transpo2024.

66. Le, N., Ngo, A. P., & Nguyen, H. T. (2024). Kolmogorov–Arnold networks for supervised learning tasks in smart grids. IEEE NAPS 2024. https://doi.org/10.1109/NAPS61145.2024.10741767

67. Jehu-Appiah, D., Park, H., & Pandey, V. (2024). Optimizing paratransit routing considering dwell time uncertainty. ASCE ICTD 2024. https://doi.org/10.1061/9780784485521.007

68. Phuapaiboon, T. (2023). Development of a testbed of connected autonomous vehicles (Master’s thesis).

69. Islam, M. M., Newaz, A. A. R., Song, L., Lartey, B., Lin, S.-C., Fan, W., Hajbabaie, A., Homaifar, A., & Karimoddini, A. (2023). Connected autonomous vehicles: State of practice. Applied Stochastic Models in Business and Industry. https://doi.org/10.1002/asmb.2772

70. Yan, X., Sarkar, M., Lartey, B., Gebru, B., Homaifar, A., Karimoddini, A., & Tunstel, E. (2023). An online learning framework for sensor fault diagnosis analysis in autonomous cars. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TITS.2023.3305620

71. Liu, D., Kaisar, E., Yang, Y., & Yan, P. (2022). Physical internet-enabled e-grocery delivery network: A load-dependent two-echelon vehicle routing problem with mixed vehicles. International Journal of Production Economics, 254. https://doi.org/10.1016/j.ijpe.2022.108632

72. Matute, J., Rodriguez-Arozamena, M., Perez Rastelli, J., & Karimoddini, A. (2023). Sensor fusion-based localization framework for autonomous vehicles in rural forested environments. IEEE ITSC 2023. https://doi.org/10.1109/ITSC57777.2023.10422436

73. Getahun, T., & Karimoddini, A. (2023). GPS-guided vision-based lane detection for autonomous vehicles. IEEE ITSC 2023. https://doi.org/10.1109/ITSC57777.2023.10422633

74. Zou, F., Deng, H. W., Iunn, T. U., Ogle, J. H., & Jin, W. (2023). V2V-based collision-avoidance decision strategy for autonomous vehicles interacting with fully occluded pedestrians at midblock on multilane roadways. ASCE ICTD 2023. https://doi.org/10.1061/9780784484876.017

75. Chorzepa, M. G., Sowemimo, A. D., & Oravbiere, O. H. (2023). Deep learning-based metrics for measuring sustainability of county-owned bridges in the US. ASCE Inspire 2023. https://doi.org/10.1061/9780784485163.062

76. Pratelli, A., Brocchini, L., & Souleyrette, R. (2023). A mixed method approach for modeling entry capacity at rotary intersections. ICURPT 2023. https://doi.org/10.7307/ptt.v37i3.991

77. Korostina, D., Stamatiadis, N., Wang, T., & Souleyrette, R. (2023). Evaluation of a scoring approach for pedestrian and bicycle projects. International Congress on Transportation Research 2023.

78. Pope (Northcutt), C., Stamatiadis, N., Fields, T., & Souleyrette, R. (2023). Identifying work-related crashes through crash narrative mining. International Congress on Transportation Research 2023.

79. Rahman, A., Salek, M. S., Chowdhury, M., & Sarasua, W. (2026). A digital twin-based simulation framework for vehicle speed advisory on horizontal curves. Transportation Research Record (under review).

80. Patwary, L., Usman, S., & Khattak, A. (2026). Exploring the relationship between transportation cost burden and mental health in burdened communities: Addressing endogeneity using two-stage residual inclusion approach (under review).

81. Usman, S. M., Khattak, A. J., & Everett, J. (2026). Enhancing rural transportation planning: A suite of innovative readiness assessment tools for emerging transportation technologies (under review).

82. Getahun, T., & Karimoddini, A. (2026). Realtime semantic segmentation-based lane detection for automated driving (under review).

83. Zhu, T., Yao, H., Li, Q., & Bao, Z. (2026). Rural road infrastructure assessment for advanced driver assistance systems-equipped vehicle deployment (under review).

84. Usman, S. M., & Khattak, A. (2026). Wheelchair users’ involvement in roadway crashes: Exploring injury severity with synthetic data augmentation and Bayesian analysis (under review).

85. Adeel, M., Kouser, N., Usman, S. M., & Khattak, A. (2026). Exploring barriers, attitudes, and opportunities for autonomous vehicle adoption among people living with disabilities: A text analytics approach (under review).

86. Beltran, N., Erhardt, G. D., & Seyedmatin, R. (pending). Modeling ride-hailing demand for any census tract in the United States using open data: Validation and application to autonomous vehicles in rural Kentucky (under review).

87. Beck, J., Huff, S., & Chakraborty, S. Diagnosing and predicting autonomous vehicle operational safety using multiple simulation modalities and a virtual environment (under review).

88. Beck, J., & Chakraborty, S. Modeling and propagation of perception errors in autonomous vehicle control: A generative time-series framework for safety-critical evaluation (under review).

89. Davis, M. C., Cronley, C., & Brakewood, C. Who rides rural transit? A latent profile analysis of rural demand response transportation (DRT) riders (under review).

90. Saeidi, S., Kaisar, E., & Moreno, F. Rural multi-period inventory pickup and delivery problem with multi-attribute alternative routes. Journal of Transportation Planning and Technology (under review).

91. Saeidi, S., Manikkavasagam, N., Nagarajan, S., & Kaisar, E. A spatial framework for evaluating autonomous shuttle readiness across rural counties in Florida (under review).

92. McBride, M., & Kelly, S. Impact of dispositional and situational factors on willingness to use shared autonomous shuttles. Transportation Research Part F (under review).

93. Phuapaiboon, T., Matute, J., Tobias, D., Getahun, T., Tavasoli, M., & Karimoddini, A. Development and evaluation of a connected and automated vehicle testbed. Journal of Intelligent Transportation Systems (under review).

94. Zakaria, M., Getahun, T., Tavasoli, M., Pandey, V., Sarrafzadeh, A., & Karimoddini, A. A review of physical and digital infrastructure standards and guidelines to support deployment of automated vehicles in rural environments. SAE International Journal of Connected and Automated Vehicles (under review).

95. Beck, J., & Chakraborty, S.,  “Modeling and Propagation of Perception Errors in Autonomous Vehicle Control: A Generative Time-Series Framework for Safety-Critical Evaluation,” under review.

Michael Dejene, Jose Matute, Ali Karimoddini, “Development and Implementation of Safe, Human-like Autonomous Vehicle Control on Horizontal Curves,” IEEE International Conference on Mechatronics (ICM), Wollongong, Australia, 2025.

Soheila Saeidi, Evangelos Kaisar, Freddy Moreno, “A Multi-objective Inventory Routing Problem Considering Multi-Attribute Alternative Links (Time and Risk) with Backhaul Orders,” 7th Interdisciplinary Conference (ICPLT), Darmstadt, Germany, 2025.

Soheila Saeidi, Evangelos Kaisar, Moreno Freddy, “A Novel Multi-Objective Inventory Routing Problem with Backhaul Orders in a Multi-Attribute Multigraph Considering Access Tax,” 23rd European Control Conference (ECC), Thessaloniki, Greece, 2025.

Araf Rahman, M.R. Chowdhury, “Digital Twin-Based Real-Time Curve Speed Warning System Using Physics Simulation,” SC EPSCoR State Conference, 2025.

Ioannis P. Ioannou, Sudhagar Nagarajan, Evangelos I. Kaisar, “Optimizing Rural Healthcare Accessibility Evaluation with AI-Driven Gravity-Radiation Modeling Under Data Availability Limitations,” International Congress on Transportation Research (ICTR), 2025.

Yanbin Lin, Zhen Ni, “Adaptive Inverse Reinforcement Learning in Continuous-Time Systems Using CNN-Driven Visual Feature Extraction,” IEEE International Joint Conference on Neural Networks (IJCNN), 2025.

Yiran Pang, Zhen Ni, Xiangnan Zhong, “Personalized Observation Normalization for Federated Reinforcement Learning in Simulation Environments with Heterogeneity,” IEEE IJCNN, 2025.

Yiran Pang, Zhen Ni, Xiangnan Zhong, “Integration of a New Layer Normalization Process into Federated Reinforcement Learning for Environments with Heterogeneous Attribute Spaces,” SPIE Defense & Commercial Sensing, 2025.

Goines, A., Tavasoli, M., Harris, A., Exum, I., Benson, B., Flythe, E., Sarrafzadeh A., “A Federated Learning Intrusion Detection System for Secure Intra-Vehicle Communications in CAVs in Rural Areas,” VICEROY Symposium, Huntsville, Alabama, March 12–14, 2025.

Soheila Saeidi, Evangelos Kaisar, Freddy Moreno, “A Multi-Objective Inventory Routing Problem with Backhaul Orders in a Multi-Attribute Multigraph with Access Tax: A Case Study,” METRANS International Urban Freight Conference, 2024.

Soheila Saeidi, Sudhagar Nagarajan, Evangelos Kaisar, “Evaluating the Readiness of Rural Florida Communities for Autonomous Vehicle Adoption,” METRANS International Urban Freight Conference, 2024.

Farzinpour, F., Sarasua, W., Davis, W., Murray-Tuite, P., Cassule, L., “A Comparison of Methods for Collecting Highway Horizontal Curve Attributes,” TRB Annual Meeting, January 2025.

Soheila Saeidi, Evangelos Kaisar, “Assessing Readiness of Rural Communities for New Technologies: Text Analysis & Framework Development,” Graduate Academic Excellence Event, College of Engineering, Florida Atlantic University (FAU), 2025.

Zhen Ni, “Learning From Demonstrations: A Computationally Efficient Inverse Reinforcement Learning Approach with Simplified Implementation,” FAU PACE Club, Boca Raton, FL, January 2025.

Maranda McBride, “Shared Autonomous Shuttle Perceptions,” ULTIMO Webinar: Supply & Demand in AV Markets – Insights from Europe, USA and Asia, March 20, 2025.

Sarasua W., Yang J., Chowdhury M., Wang L., Sarrafzadeh H., Kaisar E. I., and Chorzepa M. A Cost-Effective Data and Communication Infrastructure for Enhancing Rural Transportation Safety, ASCE International Conference on Transportation & Development (ICTD), Atlanta, Georgia, June 18, 2024.

Seferian M., and Yang J. Enhancing Autonomous Vehicle Safety in Rain: A Deep Learning Approach for Clear Vision, ASCE International Conference on Transportation & Development (ICTD), Atlanta, Georgia, June 18, 2024.

Bonam I. and Yang J. Exploration of Neural Oblivious Decision Ensembles for High-Dimensional Tabular Data Modeling, ASCE International Conference on Transportation & Development (ICTD), Atlanta, Georgia, June 18, 2024.

"Lares O. and Yang J. Unveiling Crash Severity Determinants: A Multisource and Multiresolution Modeling Approach, ASCE International Conference on Transportation & Development (ICTD), Atlanta, Georgia, June 18, 2024.

Yang J. and Mark Seferian, Seeing Clearly in Rain: Deep Vision Model for Autonomous Vehicle Visual Enhancement, AI in Motion Symposium, Austin, Texas, May 14 – 17, 2024.

Yunxiang Yang, Jidong J. Yang , Linbing Wang, Mi geum Chorzepa, Wayne Sarasua, Advancing Rural Road Safety: The Role of Advanced Computer Vision, AI in Motion Symposium, Austin, Texas, May 14 – 17, 2024.

Dan Liu and Evangelos I. Kaisar, “Improving the Sustainability of an E-grocery Delivery Network by Integrating Autonomous Delivery Vehicles,” 26th IEEE International Conference on Intelligent Transportation Systems ITSC 2023, Spain September 2023.

Patwary, A., A. Khattak, S. Usman, & I. Mahdinia, A Framework to Assess Readiness of Intelligent Mobility Technologies-Data Needs and Results of a Readiness Survey, Presented at Transportation Research Board 103rd Annual Meeting, TRBAM-24-03600, 2024.

Pandey, V. Optimizing Freight Delivery in Urban Environments: Challenges and Opportunities with Autonomous Vehicles. Presented at the 2024 North Carolina Autonomous Vehicle Symposium.

Neupane, A., Pandey, V., and Park, H. (2024). Subscription Models for Differential Access to Real-time Information. Presented at the 2024 Annual Meeting of the Transportation Research Board, Washington, DC.

Lanier, V., Pandey, V., and Hasnine, M.S. (2024). Optimizing Bike Infrastructure for Sustainable Urban Mobility: A Joint Mode and Route Choice Equilibrium Approach. Presented at the 2024 Annual Meeting of the Transportation Research Board, Washington, DC.

Ali, M., and Pandey, V. (2024). Differential Design of Discounts for Mileage-Based User Fees. Presented at the 2024 Annual Meeting of the Transportation Research Board, Washington, DC.

Usman S., A. Patwary, & A. Khattak, Nighttime Pedestrian Safety in Disadvantaged Communities: Application of Artificial Intelligence Techniques, Presented at Transportation Research Board 103rd Annual Meeting Transportation Research Board, TRBAM-24-02574, 2024.

Liatsos, V., Ioannou, I., Golias M., & Kaisar, E. Fuel Emission Reduction by the Hybrid Capacitated Truck Platooning conference proceedings at IEEE Forum for Innovative Sustainable Transportation Systems 2024, Riverside, CA February 2024.

R. Liu, “Trifecta of Simulation Models: A Case Study for JFK Airport Redevelopment,” NCSITE Safety and SimCap User Group Meeting, Feb 2024, Greensboro, Nc

A. Karimoddini and C. Spencer, “Aggie Autonomous Shuttle,” NCSITE Safety and SimCap User Group Meeting, Feb 2024, Greensboro, NC.

A. Karimoddini, “Autonomous Vehicles: From Sensing to Decision-Making and Control”, keynote speaker, 2024 North Carolina Autonomous Vehicle Symposium.

Tienake Phuapaiboon, Jose Matute, Daniel Tobias, Tesfamichael Getahun, Ali Karimoddini. Development of a Testbed of Connected Autonomous Vehicles, TRB 104th Annual Meeting, 2024.

Mark Seferian and Jidong J. Yang. “1675191 - Enhancing Autonomous Vehicle Safety in Rain: A Deep Learning Approach for Clear Vision”, accepted for Podium Presentation at the 2024 ASCE International Conference on Transportation and Development (ICTD), Atlanta, Georgia, June 15-18, 2024.

Khattak, A. “Investigating Vulnerable Road User Safety in Disadvantaged Communities-Application of the Safe Systems Approach,” Inaugural Future of Transportation Summit, USDOT, Washington, D.C., July 2024.

Khattak, A. “Investigating Intelligent and Low-Carbon Technologies in Disadvantaged Communities,” COTA International Conference of Transportation Professionals, CICTP. 2024: Shenzhen University, Shenzhen, China.

McBride, M. “Impact of Exposure on Shared Autonomous Shuttle Perceptions.” Presented during the 2024 Applied Human Factors and Ergonomics Conference in Nice, France on July 25, 2024.

Michael Azage, Jose Matute, and Ali Karimoddini. "Learning from Human Driver Demonstration for Speed Control of Ground Autonomous Vehicles." In 2024 IEEE 19th Conference on Industrial Electronics and Applications (ICIEA), Kristiansand, Norway, 05-08 August 2024.

Hsin Jung Yang, Joe Beck, Md Zahid Hasan, Ekin Beyazit, Subhadeep Chakraborty, Tichakorn Wongpiromsarn, Soumik Sarkar (2024) "GENESIS-RL: GEnerating Natural Edge-cases with Systematic Integration of Safety considerations and Reinforcement Learning." In IEEE International Automated Vehicle Validation Conference" October 21-23, 2024, Pittsburgh, PA.

Beck, J., & Chakraborty, S. (2024). “Enhancing Automated Vehicle Operation and Safety on Rural Roads: Challenges and Innovative Solutions,” Future of Transportation Summit, Aug.13-15, DOT Headquarter, Washington D.C.

Saeidi, S., Kaisar, E., Gulati, K., Pandey, V. “Deploying Smart Parking Systems in Rural Areas: Integrating GIS and Real-Time Data Analytics to Mitigate Illegal Truck Parking.” Transpo2024, Orlando, FL, 25-28 August-2024.

Soheila Saeidi, “Intelligent Routing System for Safe and Efficient Freight Transportation,” Transpo2024: Hilton, Orlando Bonnet Creek, 14100 Bonnet Creek Resort Ln, Orlando, FL 32821 on August 25 – 28, 2024.

Jehu-Appiah, D., Park, H., and Pandey, V. (2024). “Optimizing Paratransit Routing Considering Dwell Time Uncertainty, The American Society of Civil Engineers' International Conference on Transportation and Development (ICTD 2024), Atlanta, GA.

Tasnia, R., Ali, M., Hridoy, D. N., Pandey, V., Hasnine, S., and Park, H. (2024). “Impacts of Real-Time Information on Express Lanes Route Choices: Insights from a Joint Revealed and Stated-Preference Survey in Washington DC and Charlotte, NC.” The American Society of Civil Engineers’ International Conference on Transportation and Development (ICTD 2024), Atlanta, GA.

Pandey, V. “Transportation Systems of the Future: Planning and operations in the era of information and connectivity.” Guest Speaker for the CAEE Graduate Seminar Class, NCA&T. (September 30, 2024).

Pandey, V. “Introduction to Transportation Systems: The Past, Present, and the Future.” The 2024 Summer Transportation Institute for High-School Students. North Carolina Agricultural and Technical State University. (July 15, 2024).

Pandey, V. (2024). “Transportation Infrastructure Systems: Accessibility Perspectives for Rural and Disconnected Communities.” The NSF ERC Proposal Planning Workshop, College of William & Mary Law School, May 31, 2024.

Matthew Davis and Candace Brakewood, “Dialysis, Doctors, and Other Destinations in Rural Tennessee: A Comparative Analysis of Demand Response Transportation (DRT) Trips by Age, Gender, and Disability Status”, Upper Cumberland Human Resource Agency (UCHRA) and Tennessee Department of Transportation (TDOT), September 5, 2024.

Ali Karimoddini, “Autonomy and AI for Advanced Transportation Technologies,” NCDOT, CLEAR Program, Sep 26, 2024.

Ali Karimoddini, “AI-Enabled Development and Deployment of Microtransit Autonomous Vehicles in Rural Environments, US DOT Future of Transportation Summit,” Aug 13-15, 2024.

Ali Karimoddini, Keynote talk: "Autonomous Vehicles: From Sensing to Decision-Making and Control, Autonomous Vehicle Symposium," Raleigh, April 1, 2024.

Ali Karimoddini," Lessons Learned From Aggie Auto Pilot Program," AAMVA Automated Vehicles Information Sharing, June 3, 2024.Jose Matute, Mario Rodriguez-Arozamena, Joshue Perez, and Ali Karimoddini, “Sensor Fusion-Based Localization Framework for Autonomous Vehicles in Rural Forested Environments”, 26th IEEE International Conference on Intelligent Transportation Systems ITSC 2023, Spain September 2023.

Nhat Le, Brennan Borlaug, Matthew Bruchon, Tim Jonas, Hieu Nguyen, “Electrifying Education: Insights into Charging Electric School Buses in the United States,” North America Power Symposium 2023.

Tesfamchael Getahun, Ali Karimoddini, GPS-guided Vision-based Lane Detection for Autonomous Vehicles, 26th IEEE International Conference on Intelligent Transportation Systems ITSC 2023, Spain September 2023.

N. Stamatiadis, C. Pope, R. Souleyrette, and T. Fields, “Identifying work-related crashes through crash narrative mining, 11th International Congress on Transportation Research” (ICTR 2023), Crete, September 2023.

Daria Korostina, Nikiforos Stamatiadis, Teng Wang, and Reginald Souleyrette, “Evaluation of a Scoring Approach for Pedestrian and Bicycle Projects,” 11th International Congress on Transportation Research (ICTR 2023), Crete, September 2023.