Assistant Professor

Mr Varun Chandra Jammula

Department of Computer Science and Engineering

Interests

  • Computer Vision
  • Active Perception
  • Machine Learning

Education

2014

IIITD&M Kancheepuram, Chennai
BTech

2016

Arizona State University, USA
Master of Computer Science

Pursuing

Arizona State University, USA
Ph.D

Research Interest

  • Integration of automated driving policy learning methods with Temporal logic
  • Traffic surveillance, Scenario-based safety analysis of automated and human driven vehicles
  • Developing ML techniques for smart health monitoring and medical applications

Publications

Journals

  • Caviedes, J. E., Li, B., & Jammula, V. C. (2020). Wearable sensor array design for spine posture monitoring during exercise incorporating biofeedback. IEEE Transactions on Biomedical Engineering, 67(10), 2828–2838.
  • Sprowls, M., Serhan, M., Chou, E.-F., Lin, L., Frames, C., Kucherenko, I., … Others. (2021). Integrated Sensing Systems for Monitoring Interrelated Physiological Parameters in Young and Aged Adults: A Pilot Study. International Journal of Prognostics and Health Management, 12(4).
  • Saravanan, N. K., Jammula, V., Yang, Y., Wishart, J., & Zhao, J. (2025). Enhanced Cooperative Perception Through Asynchronous Vehicle to Infrastructure Framework with Delay Mitigation for Connected and Automated Vehicles. arXiv Preprint arXiv:2504. 08172. (Journal of Connected and Automated Vehicles - JCAV-2025-0003R1)

Conferences

  • Lu, D., Jammula, V. C., Como, S., Wishart, J., Chen, Y., & Yang, Y. (2021). Carom-vehicle localization and traffic scene reconstruction from monocular cameras on road infrastructures. 2021 IEEE International Conference on Robotics and Automation (ICRA), 11725–11731. IEEE.
  • Srinivasan, A., Mahartayasa, Y., Jammula, V. C., Como, S., Wishart, J., Yang, Y., & Yu, H. (2022). Infrastructure-Based LiDAR Monitoring for Assessing Automated Driving Safety. SAE Technical Paper.
  • Jammula, V. C., Wishart, J., & Yang, Y. (2022). Evaluation of Operational Safety Assessment (OSA) Metrics for Automated Vehicles Using Real-World Data. SAE Technical Paper.
  • Lu, D., Haines, S., Jammula, V. C., Rath, P. K., Yu, H., Yang, Y., & Wishart, J. (2024). Validation and Analysis of Driving Safety Assessment Metrics in Real-world Car-Following Scenarios with Aerial Videos. SAE Technical Paper.

Contact Details

  • E-mail id: varunchandra.j@srmap.edu.in
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