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Yasamin Moghaddas
- PhD studentDepartment of Electrical Engineering and Computer ScienceSamueli School of EngineeringUC Irvine2023
Record last updated: August 21, 2025.
Related Information
ITS Affiliations
Recent Research Products
other |
May 2025
Custom Python scripts
conference paper |
May 2024
LLM4PLC: Harnessing Large Language Models for Verifiable Programming of PLCs in Industrial Control Systems
Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice
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 Yasamin Moghaddas'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
- Mohamad Fakih, Rahul Dharmaji, Yasamin Moghaddas, Gustavo Quiros, Oluwatosin Ogundare and Mohammad Abdullah Al Faruque (2024) “LLM4PLC: Harnessing Large Language Models for Verifiable Programming of PLCs in Industrial Control Systems”, in Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice. New York, NY, USA: Association for Computing Machinery (ICSE-SEIP '24), pp. 192–203. Available at: 10.1145/3639477.3639743. [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]
Technical Reports
- Y Moghaddas, M Fakih, T Zhang, M Odema and MA Al Faruque (2023) An Integrated Corridor Management for Connected Vehicles and Park and Ride Structures using Deep Reinforcement Learning. Technical Report 23-03. Center for Embedded & Cyber-Physical Systems, UCI. Available at: https://cecs.uci.edu/files/2023/08/An-Integrated-Corridor-Management-for-Connected-Vehicles-and-Parkand-Ride-Structures-using-Deep-Reinforcement-Learning.pdf (Accessed: October 5, 2023). [ITS-Irvine record]
Other
- Mohammad Abdullah Al Faruque, Yasamin Moghaddas, Avinash Kadiyala, Mohamad Habib Fakih (2025) Custom Python scripts. Available at: . [Other] [ITS-Irvine record]