Irina is an Assistant Professor, School of Computing, Dublin City University(DCU), and Academic Lead MSc in Blockchain – Distributed Ledger Technologies (ICT Skillnet). She is teaching mainly in the Cyber Security area. Prior to joining DCU as an Assistant Professor, Irina was a Lecturer with National College of Ireland and Programme Director MSc Cybersecurity (part-time) and BSc in Computing and Business Information Systems (3rd and 4th years). She was also a Postdoctoral Researcher at DCU working on a H2020 EU project in the area of technology enhanced learning.  Her research interests are in the following areas:  technology enhanced learning, cyber security, especially usable security, applications of blockchain,  adaptive systems, vehicular communications and smart cities. Irina is the PI of the SFI funded project: PRIVATT – Irish Attitudes to Privacy in COVID19 Times.

Publications

2025

Bendechache, Malika, Connolly, Regina, Farayola, Michael Mayowa, Kelly, Daniel, Kennedy, Shane, Saber, Takfarinas, Tal, Irina. 2025. Intersectional Fairness in Healthcare AI: A Pipeline-Wide Evaluation of Multi-Stage Mitigation Strategies. In: Proceedings of the TRUST-AI: The European Workshop on Trustworthy AI, CEUR-WS.org. Available at: https://ceur-ws.org.
Mohammadzadeh Mianji, Elham, Muntean, Gabriel-Miro, Tal, Irina. 2025. Enhancing Vehicular Network Security, Privacy, and Trust Through Reinforcement Learning: A Comprehensive Survey. IEEE Transactions on Intelligent Transportation Systems, 26(12), 21393-21426. doi: 10.1109/TITS.2025.3612202.
Bendechache, M, Connolly, R, Farayola,M, Saber. T, Tal, I. 2025. A fairness-focused approach to recidivism prediction: implications for accuracy, trust, and equity. AI & Society. doi: 10.1007/s00146-025-02452-1.

2024

Bendechache, Malika, Connolly, Regina, Farayola, Michael Mayowa, Saber, Takfarinas, Tal, Irina. 2024. Enhancing Algorithmic Fairness: Integrative Approaches and Multi-Objective Optimization Application in Recidivism Models. In: Proceedings of the 19th International Conference on Availability, Reliability and Security, Association for Computing Machinery. doi: 10.1145/3664476.3669978.
Fardad, Mohammad, Muntean, Gabriel-Miro, Tal, Irina. 2024. Decentralized Vehicular Edge Computing Framework for Energy-Efficient Task Coordination. doi: 10.1109/VTC2024-Spring62846.2024.10683387.
Fardad, Mohammad, Muntean, Gabriel-Miro, Tal, Irina. 2024. A Blockchain-Enabled Vehicular Edge Computing Framework for Secure Performance-Oriented V2X Service Delivery. IEEE Transactions on Vehicular Technology, 73, 13853-13867. doi: 10.1109/TVT.2024.3394150.

2023

Alanazi, Fahad, Renaud, Karen, Tal, Irina. 2023. Understanding the impact of dyslexia on online privacy and security. In: IEEE Cyber Research Conference Ireland. Available at: https://strathprints.strath.ac.uk/87357/.
Fardad, Mohammad, Muntean, Gabriel-Miro, Tal, Irina. 2023. Latency-aware V2X Operation Mode Coordination in Vehicular Network Slicing. In: 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring). doi: 10.1109/VTC2023-Spring57618.2023.10200069.
Bergamin, Per, Imhof, Christof, Molnar, Andreea, Muntean, Cristina Hava, Muntean, Gabriel-Miro, sa, Ioan-Sorin Com, Tal, Irina, Trestian, Ramona. 2023. Improved Quality of Online Education Using Prioritized Multi-Agent Reinforcement Learning for Video Traffic Scheduling. IEEE Transactions on Broadcasting, 1-19. doi: 10.1109/TBC.2023.3246815.
Connolly, Regina, Farayola, Michael Mayowa, Malika, Bendechache, Saber, Takfarinas, Tal, Irina. 2023. Fairness of AI in Predicting the Risk of Recidivism: Review and Phase Mapping of AI Fairness Techniques. In: Proceedings of the 18th International Conference on Availability, Reliability and Security, Association for Computing Machinery. doi: 10.1145/3600160.3605033.
Bendechache, Malika, Connolly, Regina, Farayola, Michael, Saber, Takfarinas, Tal, Irina. 2023. Ethics and Trustworthiness of AI for Predicting the Risk of Recidivism: A Systematic Literature Review. Information, 14, 426. doi: 10.3390/info14080426.

2022

Aileni, Nandhini Reddy, Bendechache, Malika, Mitra, Soumi, Tal, Irina. 2022. Towards An Optimised Vehicle Detection Algorithm For Multi-Object Tracking In Traffic Surveillance.
Bendechache, M, Brennan, R, Celeste, E, Lohar, P, Tal, I, Trestian, R, Xie, G. 2022. The Privacy Paradox-investigating people’s attitude towards privacy in a time of COVID-19. In: 14th International Conference on Communications. doi: 10.1109/COMM54429.2022.9817170.
Fardad, Mohammad, Mianji, Elham Mohammadzadeh, Muntean, Gabriel-Miro, Tal, Irina. 2022. A Fast and Effective Graph-Based Resource Allocation and Power Control Scheme in Vehicular Network Slicing. In: 2022 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). doi: 10.1109/BMSB55706.2022.9828750.

2020

Bendechache, Malika, Muntean, Gabriel-Miro, Saber, Takfarinas, Tal, Irina. 2020. Application of Blockchain Technology to 5G-Enabled Vehicular Networks: Survey and Future Directions.