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Rozhin Yasaei
- PhD studentPhDDepartment of Electrical Engineering and Computer ScienceSamueli School of EngineeringUC Irvine20182023
- PhD studentPhDDepartment of Electrical Engineering and Computer ScienceSamueli School of EngineeringUC Irvine20182023
- GSRITS-IrvineUC Irvine20222022
Record last updated: October 15, 2025.
Related Information
ITS Affiliations
Recent Projects
Complete | Apr 2022—Mar 2023
Research Team:
Department(s):
Recent Research Products
conference paper |
Apr 2024
Unraveling Sensor Correlations in Multi-Sensor Wearable Devices for Smart Anomaly Detection
2024 IEEE 17th Dallas Circuits and Systems Conference (DCAS)
conference paper |
Mar 2024
IoT-GRAF: IoT Graph Learning-Based Anomaly and Intrusion Detection Through Multi-Modal Data Fusion
2024 Design, Automation & Test in Europe Conference & Exhibition (DATE)
Publications
Note: Publications listed below are generally limited to those associated activity during Rozhin Yasaei's affiliation with ITS-Irvine. The list may be incomplete. For a more comprehensive list, please consult other data sources in their Related Information.
Conference Papers
- Rozhin Yasaei, Amir Hosein Afandizadeh Zargari, Mohammad Al Faruque and Fadi Kurdahi (2024) “Unraveling Sensor Correlations in Multi-Sensor Wearable Devices for Smart Anomaly Detection”, in 2024 IEEE 17th Dallas Circuits and Systems Conference (DCAS). 2024 IEEE 17th Dallas Circuits and Systems Conference (DCAS), pp. 1–5. Available at: 10.1109/DCAS61159.2024.10539883. [ITS-Irvine record]
- Rozhin Yasaei, Yasamin Moghaddas and Mohammad Abdullah Al Faruque (2024) “IoT-GRAF: IoT Graph Learning-Based Anomaly and Intrusion Detection Through Multi-Modal Data Fusion”, in 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE). 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), pp. 1–6. Available at: 10.23919/DATE58400.2024.10546572. [ITS-Irvine record]
Theses and Dissertations
- Rosin Yasaei (2023) Graph Neural Network for Integrated Circuits and Cyber-Physical Systems Security. PhD Dissertation. UC Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/u4evf/cdi_proquest_journals_2854332836. [ITS-Irvine record]
Books and Book Chapters
- Rozhin Yasaei and Mohammad Abdullah Al Faruque (2024) “Context-Aware Adaptive Anomaly Detection in IoT Systems”, in S. Pasricha and M. Shafique (eds.) Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Use Cases and Emerging Challenges. Cham: Springer Nature Switzerland, pp. 177–200. Available at: https://doi.org/10.1007/978-3-031-40677-5_8 (Accessed: October 23, 2024). [ITS-Irvine record]
Other
- Mohammad Abdullah Al Faruque, Rozhin Yasaei and Shih-Yuan Yu (2024) “A design automation methodology based on graph neural networks to model integrated circuits and mitigate hardware security threats”. Available at: https://patents.google.com/patent/US20240338491A1/en (Accessed: August 21, 2025). [Other] [ITS-Irvine record]