Publications

Journals Articles

1. Manjunath, Y. S. K., Zhao, L., and Zhang, X. P. Segmented Learning for Metaverse Network Traffic Classification. IEEE Internet of Things Journal, vol. 12, no. 19, pp. 40068–40082, 2025. https://doi.org/10.1109/JIOT.2025.3591381

2. Manjunath, Y. S. K., Zhao, S., Zhang, X. P., and Zhao, L. Time-Distributed Feature Learning for Internet of Things Network Traffic Classification. IEEE Transactions on Network and Service Management, 2024. https://doi.org/10.1109/TNSM.2024.3457579

3. Jebamikyous, H., Li, M., Manjunath, Y. S. K., and Kashef, R. Leveraging Machine Learning and Blockchain in E-Commerce and Beyond: Benefits, Models, and Application. Discover Artificial Intelligence, vol. 3, article 3, 2023. https://doi.org/10.1007/s44163-022-00046-0

4. Lohith, M. S., Manjunath, Y. S. K., and Eshwarappa, M. N. Multimodal Biometric Person Authentication Using Face, Ear and Periocular Region Based on Convolution Neural Networks. International Journal of Image and Graphics, vol. 23, no. 2, article 2350019, 2023. https://doi.org/10.1142/S0219467823500195

5. Manjunath, Y. S. K. and Kashef, R. F. Distributed Clustering Using Multi-Tier Hierarchical Overlay Super-Peer Peer-to-Peer Network Architecture for Efficient Customer Segmentation. Electronic Commerce Research and Applications, vol. 47, article 101040, 2021. https://doi.org/10.1016/j.elerap.2021.101040

Conference Papers

1. Kadijani, N. S., Manjunath, Y. S. K., Bi, X., and Zhao, L. QLook: Quantum-Driven Viewport Prediction for Virtual Reality. IEEE 102nd Vehicular Technology Conference (VTC2025-Fall), Chengdu, China, 2025. https://doi.org/10.1109/VTC2025-Fall65116.2025.11310424

2. Manjunath, Y. S. K., Szymanowski, M., Wissborn, A., Li, M., Zhao, L., and Zhang, X. P. ResLearn: Transformer-Based Residual Learning for Metaverse Network Traffic Prediction. IEEE International Conference on Communications (ICC), Montreal, Canada, 2025. https://doi.org/10.1109/ICC52391.2025.11161595

3. Manjunath, Y. S. K., Wissborn, A., Szymanowski, M., Li, M., Zhao, L., and Zhang, X. P. Discern-XR: An Online Classifier for Metaverse Network Traffic. IEEE International Conference on Communications (ICC), Montreal, Canada, 2025. https://doi.org/10.1109/ICC52391.2025.11161491

4. Manjunath, Y. S. K., Zhao, S., Abou-zeid, H., Sediq, A. B., Atawia, R., and Zhang, X. P. Segmented Learning for Class-of-Service Network Traffic Classification. IEEE Global Communications Conference (GLOBECOM), 2022.

5. Zhao, S., Abou-zeid, H., Atawia, R., Manjunath, Y. S. K., Sediq, A. B., and Zhang, X. P. Virtual Reality Gaming on the Cloud: A Reality Check. IEEE Global Communications Conference (GLOBECOM), 2021.

6. Manjunath, Y. S. K., Kohli, V., Ghaffar, S., and Kashef, R. Network Flow Classification and Volume Prediction Using Novel Ensemble Deep Learning Architectures in the Era of the Internet of Things (IoT). IEEE International Conference on Dependable, Autonomic and Secure Computing / Pervasive Intelligence and Computing / Cloud and Big Data Computing / Cyber Science and Technology Congress, 2021.

7. Manjunath, Y. S. K., Zhao, S., and Zhang, X. P. Time-Distributed Feature Learning in Network Traffic Classification for Internet of Things. IEEE World Forum on Internet of Things (WF-IoT), 2021.