Biography

Prof. Srinivas S. Pulugurtha

The University of Mississippi, USA

Chair & Professor of Civil Engineering

 

Email: [email protected]


Qualifications

1998 Ph.D., Univ. of Nevada, Las Vegas, Civil Engineering

1995 M.S., Indian Institute of Technology, Civil Engineering

1992 B.S., Nagarjuna Univ., Civil Engineering


Publications(Selected)


  1. Anbumani, M., & Pulugurtha, S. S. (2026). Driving equity forward: Prioritizing connected autonomous shuttle implementation around transit stations for inclusive mobility. International Conference on Transportation and Development 2026, 234–244.
  2. Bamney, S., Jain, J., & Pulugurtha, S. S. (2026). Pathways to adopting microtransit: Examining the role of older adults' usability perceptions and willingness to use in Mississippi. Journal of Transport & Health, 51, Article 102396.
  3. Gajera, H., Gore, N., & Pulugurtha, S. S. (2026). Microsimulation and extreme value theory to assess the effect of varying levels of automated vehicles on crash risk. Journal of Traffic and Transportation Engineering (English Edition), 13(2), 227–235.
  4. Ogungbire, A., & Pulugurtha, S. (2026). Weather-related crash risk forecasting: A deep learning approach for heterogenous spatiotemporal data. arXiv preprint arXiv:2603.04551.
  5. Chepuri, A., Arkatkar, S. S., Joshi, G., et al. (2025). Assessing bus user’s perception using structural equation modelling. Australian Journal of Civil Engineering, 23(2), 227–235.
  6. Diba, D. S. (2025). Integration of autonomous shuttles: Deployment strategies and perspectives of stakeholders and users (Doctoral dissertation, University of North Carolina at Charlotte).
  7. Diba, D. S., Gore, N., & Pulugurtha, S. S. (2025). Integrating autonomous shuttles: Insights, challenges, and strategic solutions from practitioners and industry experts’ perceptions. Future Transportation, 5(1), Article 9.
  8. Gajera, H., & Pulugurtha, S. S. (2025). How users’ familiarity, perception of policy restrictions, and effects of AVs influence their willingness to ride them. Vehicles, 7(2), Article 34.
  9. Gajera, H., Pulugurtha, S. S., Gore, N., et al. (2025). Modeling and estimating the effect of a mix of varying levels of automated vehicles on operational performance of urban freeways. Transportation Research Record, 2679(3), 1054–1075.
  10. Grandhi, A., Gore, N., & Pulugurtha, S. S. (2025). Mixed-effects model to assess the effect of disengagements on speed of an automated shuttle with sensors for localization, navigation, and obstacle detection. Sensors, 25(2), Article 573.
  11. Kalambay, P., & Pulugurtha, S. S. (2025). Modeling pedestrian near-crash events at a rectangular rapid flashing beacon-controlled intersection using video analytics and long short-term memory neural network. Transportation Research Record, 2679(2), 935–948.
  12. Ogungbire, A., & Pulugurtha, S. S. (2025). Spatiotemporal risk mapping of statewide weather-related traffic crashes: A machine learning approach. Machine Learning with Applications, 20, Article 100642.
  13. Pulugurtha, S. S. (2025). Equity analysis for long range transportation planning. Transportation Research Board.
  14. Zhu, L., Pulugurtha, S., Yuan, R., et al. (2025). Characterizing shared E-scooter travel patterns using comprehensive travel data in Charlotte, NC. International Conference on Transportation and Development 2025, 337–348.
  15. Gajera, H., & Pulugurtha, S. S. (2024). Fatal crashes involving vehicles with driver warning systems: Identifying risk factors using a correlated random parameters ordered logit modeling approach. Heliyon, 10(12), Article e32845.
  16. Golchin, M., Grandhi, A., Gore, N., et al. (2024). UNC Charlotte autonomous shuttle pilot study: An assessment of operational performance, reliability, and challenges. Machines, 12(11), Article 796.
  17. Hosseini, S. S., Ardabili, B. R., Azarbayjani, M., et al. (2024). Understanding the transit gap: A comparative study of on-demand bus services and urban climate resilience in South End, Charlotte, NC and Avondale, Chattanooga, TN. arXiv preprint arXiv:2403.14671.
  18. Huda, K. T., Chen, Y., Chen, D., et al. (2024). Time series analysis of highway work zone crashes in North Carolina. International Conference on Transportation and Development 2024, 117–127.
  19. Kalambay, P., & Pulugurtha, S. S. (2024). Data-driven exploration of traffic speed patterns to identify potential road links for variable speed limit sign implementation. Urban, Planning and Transport Research, 12(1), Article 2319711.
  20. Ogungbire, A., Kalambay, P., & Pulugurtha, S. S. (2024). Exploring the effect of mountainous terrain on weather-related crashes. IATSS Research, 48(2), 136–146.


Profile Details
https://olemiss.edu/profiles/sp.php
https://scholar.google.com/citations?user=Q9yS96IAAAAJ&hl=en
https://www.researchgate.net/profile/Srinivas-Pulugurtha/3

WOS ResearcherID: FVJ-5193-2022


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