| 2023 | DBSEC | Android Code Vulnerabilities Early Detection Using AI-Powered ACVED Plugin. | Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri, Andrei Petrovski, Luca Piras |
| 2023 | ESORICS | Enhancing Security Assurance in Software Development: AI-Based Vulnerable Code Detection with Static Analysis. | Sampath Rajapaksha, Janaka Senanayake, Harsha Kalutarage, M. Omar Al-Kadri |
| 2023 | ESORICS | FedREVAN: Real-time DEtection of Vulnerable Android Source Code Through Federated Neural Network with XAI. | Janaka Senanayake, Harsha Kalutarage, Andrei Petrovski, M. Omar Al-Kadri, Luca Piras |
| 2023 | SECRYPT | Labelled Vulnerability Dataset on Android Source Code (LVDAndro) to Develop AI-Based Code Vulnerability Detection Models. | Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri, Luca Piras, Andrei Petrovski |
| 2022 | AsiaCCS | Developing Secured Android Applications by Mitigating Code Vulnerabilities with Machine Learning. | Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri, Andrei V. Petrovski, Luca Piras |
| 2022 | SecureComm | DQR: A Double Q Learning Multi Agent Routing Protocol for Wireless Medical Sensor Network. | Muhammad Shadi Hajar, Harsha K. Kalutarage, M. Omar Al-Kadri |
| 2021 | TrustCom | TrustMod: A Trust Management Module For NS-3 Simulator. | Muhammad Shadi Hajar, Harsha K. Kalutarage, M. Omar Al-Kadri |
| 2021 | SGAI | Memory Efficient Federated Deep Learning for Intrusion Detection in IoT Networks. | Idris Zakariyya, Harsha K. Kaluterage, M. Omar Al-Kadri |
| 2020 | TrustCom | LTMS: A Lightweight Trust Management System for Wireless Medical Sensor Networks. | Muhammad Shadi Hajar, M. Omar Al-Kadri, Harsha K. Kalutarage |
| 2016 | GLOBECOM | Outage Probability of Heterogeneous Cellular Networks with Full-Duplex Small Cells. | M. Omar Al-Kadri, Yansha Deng, Arumugam Nallanathan |