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JAFARNEJAD Sasan

University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Ubiquitous and Intelligent Systems (UBI-X)

ORCID
0000-0003-2289-1425
Main Referenced Co-authors
FRANK, Raphaël  (7)
ENGEL, Thomas  (6)
CASTIGNANI, German  (4)
DIMIDOV, Valeriu Ionut  (2)
FAYE, Sébastien  (2)
Main Referenced Keywords
machine learning (3); driver behavior (2); driver identification (2); adverse media (1); AMLR (1);
Main Referenced Unit & Research Centers
NCER-FT - FinTech National Centre of Excellence in Research (2)
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Networking Research Group (NetLab) (1)
ULHPC - University of Luxembourg: High Performance Computing (1)
Main Referenced Disciplines
Computer science (11)
Engineering, computing & technology: Multidisciplinary, general & others (2)
Law, criminology & political science: Multidisciplinary, general & others (1)

Publications (total 13)

The most downloaded
1704 downloads
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 https://hdl.handle.net/10993/42721

The most cited

62 citations (OpenAlex)

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 https://hdl.handle.net/10993/23592

DIMIDOV, V. I., HAWLADER, F., JAFARNEJAD, S., & FRANK, R. (10 January 2026). Cleaning Maintenance Logs with LLM Agents for Improved Predictive Maintenance [Paper presentation]. ANNUAL CONFERENCE OF THE PROGNOSTICS AND HEALTH MANAGEMENT SOCIETY 2025.
Peer reviewed

CHERNAKOV, P., JAFARNEJAD, S., & FRANK, R. (2025). An Agentic LLM Framework for Adverse Media Screening in AML Compliance. https://orbilu.uni.lu/handle/10993/67145

HANIFI, S., JAFARNEJAD, S., Cormier, M., & FRANK, R. (2025). Multi-class Semantic Segmentation of Photovoltaic Module Defects and Features: Towards Industrial Robotic Applications. In H. Fujita (Ed.), Advances and Trends in Artificial Intelligence. Theory and Applications - 38th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2025, Proceedings (pp. 37–48). Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-981-96-8892-0_4
Peer reviewed

DIMIDOV, V. I., JAFARNEJAD, S., & FRANK, R. (09 June 2025). An Empirical Study on Predictive Maintenance for Component X in Heavy-Duty Scania Trucks [Paper presentation]. 2025 IEEE International Conference on Prognostics and Health Management (ICPHM), DEnver, United States. doi:10.1109/icphm65385.2025.11061822
Peer reviewed

JAFARNEJAD, S., BERTHE--PARDO, A. A. H., & FRANK, R. (29 May 2024). Towards a Conversational LLM-Based Voice Assistant for Transportation Applications [Paper presentation]. 2024 IEEE Vehicular Networking Conference (VNC). doi:10.1109/vnc61989.2024.10575993
Peer reviewed

JAFARNEJAD, S., ROBINET, F., & FRANK, R. (2024). A Risk-Based AML Framework: Finding Associates Through Ultimate Beneficial Owners. In CIFER 2024. IEEE. doi:10.1109/CIFEr62890.2024.10772816
Peer reviewed

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. https://orbilu.uni.lu/handle/10993/32355

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

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