Publications

Sabamoniri, S., Kurunathan, H., Santos, P.M., Mukhandi, M. and Alves, F., 2025, August. Towards a Secure Resource Sharing Architecture in Connected Vehicles. In 2025 12th International Conference on Future Internet of Things and Cloud (FiCloud) (pp. 531-536). IEEE.

Sandeep, A., Reddy, R., Makkithaya, K., Mahadeva, R. and Kurunathan, H., 2025, August. Prospects of Artificial Intelligence for Cloud-Integrated Intelligent Transportation Systems. In 2025 12th International Conference on Future Internet of Things and Cloud (FiCloud) (pp. 525-530). IEEE.

Kurunathan, H., Ali, H.I., Eldefrawy, M.H. and Tovar, E., 2025, August. Energy Profiling of Lightweight Authentication protocols for Software-Defined Vehicles. In 2025 12th International Conference on Future Internet of Things and Cloud (FiCloud) (pp. 537-542). IEEE.

Kurunathan, H., Ali, H.I., Javanmardi, G., Eldefrawy, M., Gaitán, M.G., Robles, R., Yomsi, P. and Tovar, E., 2025, May. Adaptive Intrusion Mitigation in Software-Defined Vehicles Using Deep Reinforcement Learning. In Proceedings of the 4th International Workshop on Real-time and IntelliGent Edge computing (pp. 1-6).

Rendel, J., Balte, W., Kurunathan, H., Ali, H.I., Roque, A.D.S., De Morais, W.O. and Fazeli, M., 2025, March. ZeroCAN: Anomaly-Based Zero-Day Attack Detection in Vehicular CAN Bus Networks. In 2025 33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP) (pp. 121-128). IEEE.

Ali, H.I., Kurunathan, H., Eldefrawy, M.H., Gruian, F. and Jonsson, M., 2025. Navigating the Challenges and Opportunities of Securing Internet of Autonomous Vehicles with Lightweight Authentication. IEEE Access.

H. Kurunathan, K. Li, E. Tovar, A. M. Jorge, W. Ni and A. Jamalipour, "DRL-KeyAgree: An Intelligent Combinatorial Deep Reinforcement Learning-Based Vehicular Platooning Secret Key Generation," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2024.3410534.

Harrison Kurunathan, Kai Li, Wei Ni, Na Li, Eduardo Tovar, and Mohsen Guizani. "Exploring LSTM-assisted A2C For Physical Layer Security in Vehicular Cyber-Physical Systems" The 20th International Wireless Communications & Mobile Computing Conference (IWCMC), 2024.

Kurunathan, H., Robles, R., Gaitán, M.G., Ravichandran, I. and Tovar, E., 2024, November. Q-light: Q-learning enabled VLC network routing. In Proceedings of the 19th Workshop on Mobility in the Evolving Internet Architecture (pp. 31-36).

Reddy, Radha, Luís Almeida, Harrison Kurunathan, Miguel Gutiérrez Gaitán, Pedro Miguel Santos, and Eduardo Tovar. "Worst-Case Response Time of Mixed Vehicles at Complex Intersections." Open Journal of Intelligent Transportation Systems (2024). 

Radha Reddy, Luis Almeida, Pedro M. Santos, Harrison Kurunathan, Eduardo Tovar, "Energy savings and emissions reduction of BEVs at an isolated complex intersection, Transportation Research Part D: Transport and Environment", Volume 136, 2024, 104403, ISSN 1361-9209, (https://doi.org/10.1016/j.trd.2024.104403.)

Robles, R., Gaitán, M.G., Javanmardi, G. and Kurunathan, H., 2024, October. Joint spectrum and antenna selection diversity for V2V links with ground reflections. In International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability (pp. 315-329). Cham: Springer Nature Switzerland.

Kurunathan, J.H., Gutiérrez Gaitán, M., Sámano-Robles, R. and Tovar, E., 2024. DynaVLC towards dynamic GTS allocation in VLC networks. In NG-RES 2024-Workshop on Next Generation Real-Time Embedded Systems (NG-RES), January 17-19 (Vol. 117, pp. 3-1). Schloss Dagstuhl–LZI GmbH.

Kurunathan, H., Sámano-Robles, R., Gaitán, M.G., Indhumathi, R. and Tovar, E., 2023, November. Towards multi-channel GTS allocation in visible light communication. In 2023 South American Conference On Visible Light Communications (SACVLC) (pp. 130-134). IEEE.

Kurunathan, H., Indhumathi, R., Gaitán, M.G., Taramasco, C. and Tovar, E., 2023, November. VLC-enabled monitoring in a healthcare setting: Overview and Challenges. In 2023 South American Conference On Visible Light Communications (SACVLC) (pp. 135-140). IEEE.

Kurunathan, H., Huang, H., Li, K., Ni, W. and Hossain, E., 2023. Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey. IEEE Communications Surveys & Tutorials.

Pereira, J., Kurunathan, H. and Santos, P.M., 2023, June. Edge-Aided V2X Collision Avoidance with Platoons: Towards a Hybrid Evaluation Toolset. In 2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W) (pp. 68-71). IEEE.

Araújo, M., Silva, J., Santos, P.M., Singh, H., Gunjal, D., Fonseca, J., Duarte, P., Mendes, B., Barbosa, R., Steenkiste, P. and Sabamoniri, S., 2023, June. Object detection under 5G-edge mobility. In 2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) (pp. 343-345). IEEE.

Kurunathan, H., Santos, J., Moreira, D. and Santos, P.M., 2023, June. Towards Safe Cooperative Autonomous Platoon systems using COTS Equipment. In 2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) (pp. 464-469). IEEE.

Rafael, R. and Harrison Kurunathan, E.T., An RT-cloud solution towards security in Vehicular platooning systems.

Reddy, R., Almeida, L., Kurunathan, H., Gaitán, M., Santos, P. and Tovar, E., 2023. Comparing the worst-case response time of complex intersections management. Available at SSRN 4351250.

Indhumathi, R. and Narmadha, Harrison Kurunathan T.V., 2022. Hybrid pixel based method for multimodal image fusion based on Integration of Pulse Coupled Neural Network (PCNN) and Genetic Algorithm (GA) using Empirical Mode Decomposition (EMD). Microprocessors and Microsystems, 94, p.104665.

Li, K., Ni, W., Kurunathan, H. and Dressler, F., 2022, May. Data-driven deep reinforcement learning for online flight resource allocation in uav-aided wireless powered sensor networks. In ICC 2022-IEEE International Conference on Communications (pp. 1-6). IEEE.

Reddy, R., Almeida, L., Gaitan, M., Kurunathan, H., Santos, P. and Tovar, E., 2021, December. Work-in-progress: Worst-case response time of intersection management protocols. In 2021 IEEE Real-Time Systems Symposium (RTSS) (pp. 556-559). IEEE.

Kurunathan, H., Li, K., Ni, W., Tovar, E. and Dressler, F., 2021, October. Deep reinforcement learning for persistent cruise control in UAV-aided data collection. In 2021 IEEE 46th Conference on Local Computer Networks (LCN) (pp. 347-350). IEEE.

Kurunathan, H., Severino, R. and Tovar, E., 2021. A comprehensive worst case bounds analysis of IEEE 802.15. 7. Journal of Sensor and Actuator Networks, 10(2), p.23.

Kurunathan, J.H., 2021. Improving QoS for IEEE 802.15. 4e DSME Networks.