Komala Subramanyam Cherukuri

Research Interests

Autonomous Driving, Federated Learning, Physical Intelligence, Generative AI

Publications

Cherukuri, K. S., Shi, W., Ding, J., & Sha, K. (2026). Deployment Oriented Federated Learning in Connected and Autonomous Vehicles: Challenges and Opportunities. Authorea Preprints.

Cherukuri, K. S., Sha, K., & Huang, Z. (2025). Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation. arXiv [Cs.CV]. Retrieved from http://arxiv.org/abs/2509.01868

Cherukuri, K. S., Moses, P. A., Sakata, A., Chen, J., & Chen, H. (2025). Large Language Models for Oral History Understanding with Text Classification and Sentiment Analysis. arXiv [Cs.CL]. Retrieved from http://arxiv.org/abs/2508.06729

Cherukuri, K. S., Sha, K., & Ding, J. (2025, August). Enabling Federated Learning for Object Detection in Connected Autonomous Driving Using YOLO with the Flower Framework. In 2025, the 34th International Conference on Computer Communications and Networks (ICCCN) (pp. 1-6). IEEE.

Sha, K., Cherukuri, K. S., & Chen, H. (2025). Privacy and Bias in Edge Computing.

Chen, H., Cherukuri, K. S., Zhu, X., & Yang, S. (2024). Are Prompts All You Need?: Chatting with ChatGPT on Disinformation Policy Understanding. Proceedings of the Association for Information Science and Technology, 61(1), 488-492.

Cherukuri, K. S., & Chen, H. (2024). Investigating the Applications of AI in Oncology from NIH-Funded Projects: Case Study Lung Cancer and Pancreatic Cancer. Proceedings of the Association for Information Science and Technology, 61(1), 871-873.