Shriyank Somvanshi

  • Doctoral Research Assistant at Ingram School of Engineering, College of Science & Engineering

Scholarly and Creative Works

2026

  • Somvanshi, S., Liu, J., Chakraborty, R., Tamakloe, R., & Das, S. (2026). Predicting Crash Severity using Naturalistic Driving Data and Neural Networks. International Journal of Intelligent Transportation Systems Research. https://doi.org/10.1007/s13177-025-00624-3

2025

  • Liu, J., Antariksa, G., Somvanshi, S., & Das, S. (2025). Revealing equity gaps in pedestrian crash data through explainable artificial intelligence clustering. Transportation Research Part D: Transport and Environment, 139. https://doi.org/10.1016/j.trd.2024.104538
  • Liu, J., Chakraborty, R., Somvanshi, S., & Das, S. (2025). Impact of operating speed, roadway curvature, and precipitation on roadway departure risk in rural two-lane roads. Travel Behaviour and Society, 41. https://doi.org/10.1016/j.tbs.2025.101055
  • Somvanshi, S., Chakraborty, R., Dutta, A. K., & Das, S. (2025). Crash Severity Analysis of Child Bicyclists Using Arm-Net and Mambanet. In 2025 IEEE Conference on Artificial Intelligence (IEEE CAI).
  • Somvanshi, S., Liu, J., & Das, S. (2025). A Survey on Generative AI in Transportation Systems Management and Operation. In 2025 IEEE Conference on Artificial Intelligence (CAI). Retrieved from https://ieeexplore.ieee.org/abstract/document/11050708

2024

  • Somvanshi, S., Liu, J., & Das, S. (2024). Gen-AI for TSMO Knowledge Management. ACM Computing Surveys. Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5049945

2023

  • Somvanshi, S., Fainman, E., Ikehata, keisuke, Valles, D., & Jin, T. (2023). Wind Speed Forecasting for Designing Sustainable Wastewater Treatment Plants. Palo Alto. https://doi.org/10.1109/CCWC57344.2023.10099313