Jafarnejad, S. (2020). Machine Learning-based Methods for Driver Identification and Behavior Assessment: Applications for CAN and Floating Car Data [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/42721 |
Jafarnejad, S., Castignani, G., & Engel, T. (2018). Revisiting Gaussian Mixture Models for Driver Identification. In Proceedings of IEEE International Conference on Vehicular Electronics and Safety (ICVES) (ICVES 2018). Peer reviewed |
Jafarnejad, S., Castignani, G., & Engel, T. (2018). Non-intrusive Distracted Driving Detection Based on Driving Sensing Data. In 4th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS 2018). doi:10.5220/0006708401780186 Peer reviewed |
Faye, S., Jafarnejad, S., Costamagna, J., Castignani, G., & Engel, T. (27 November 2017). Poster: Characterizing Driving Behaviors Through a Car Simulation Platform [Poster presentation]. 2017 IEEE Vehicular Networking Conference (VNC), Turin, Italy. |
Jafarnejad, S., Castignani, G., & Engel, T. (2017). Towards a Real-Time Driver Identification Mechanism Based on Driving Sensing Data. In 20th International Conference on Intelligent Transportation Systems (ITSC) (pp. 7). Peer reviewed |
Faye, S., Louveton, N., Jafarnejad, S., Kryvchenko, R., & Engel, T. (2017). An Open Dataset for Human Activity Analysis using Smart Devices. |
Jafarnejad, S., Codeca, L., Bronzi, W., Frank, R., & Engel, T. (2015). A Car Hacking Experiment: When Connectivity meets Vulnerability. In Globecom Workshops (GC Wkshps), 2015 IEEE. IEEE. doi:10.1109/GLOCOMW.2015.7413993 Peer reviewed |