| 2025 | COMSNETS | DataDRILL: Resilience Testbed for Industrial Cyber-physical Systems. | Murshedul Arifeen, Igor V. Kotenko, Andrei Petrovski, Phil Hassard |
| 2024 | EANN | HEADS: Hybrid Ensemble Anomaly Detection System for Internet-of-Things Networks. | Zeeshan Ahmad, Andrei Petrovski, Murshedul Arifeen, Adnan Shahid Khan, Syed Aziz Shah |
| 2024 | ESORICS | Assuring Privacy of AI-Powered Community Driven Android Code Vulnerability Detection. | Janaka Senanayake, Harsha Kalutarage, Luca Piras, Mhd Omar Al-Kadri, Andrei Petrovski |
| 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 | 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 |
| 2023 | SYNASC | Optimising Linear Regression for Modelling the Dynamic Thermal Behaviour of Electrical Machines using NSGA-II, NSGA-III and MOEA/D. | Tiwonge Msulira Banda, Alexandru-Ciprian Zavoianu, Andrei Petrovski, Daniel Wckinger, Gerd Bramerdorfer |
| 2022 | SIN | Topology for Preserving Feature Correlation in Tabular Synthetic Data. | Murshedul Arifeen, Andrei Petrovski |
| 2021 | SIN | Automated Microsegmentation for Lateral Movement Prevention in Industrial Internet of Things (IIoT). | Murshedul Arifeen, Andrei Petrovski, Sergey Petrovski |
| 2021 | SIN | Improving Intrusion Detection Through Training Data Augmentation. | Uneneibotejit Otokwala, Andrei Petrovski, Harsha K. Kalutarage |
| 2021 | SIN | Comparative Study of Malware Detection Techniques for Industrial Control Systems. | Deborah Reid, Ian Harris, Andrei Petrovski |
| 2020 | SIN | Detection of False Command and Response Injection Attacks for Cyber Physical Systems Security and Resilience. | Hope Nkiruka Eke, Andrei Petrovski, Hatem Ahriz |
| 2020 | SIN | Detecting Malicious Signal Manipulation in Smart Grids Using Intelligent Analysis of Contextual Data. | Farzan Majdani, Lynne Batik, Andrei Petrovski, Sergey Petrovski |
| 2019 | SIN | The use of machine learning algorithms for detecting advanced persistent threats. | Hope Nkiruka Eke, Andrei Petrovski, Hatem Ahriz |
| 2018 | IJCNN | Generic Application of Deep Learning Framework for Real-Time Engineering Data Analysis. | Farzan Majdani, Andrei Petrovski, Sergey Petrovski |
| 2018 | IJCNN | Botnet Detection in the Internet of Things using Deep Learning Approaches. | Christopher D. McDermott, Farzan Majdani, Andrei Petrovski |
| 2018 | INISTA | Evolutionary Computation for Optimal Component Deployment with Multitenancy Isolation in Cloud-hosted Applications. | Laud Charles Ochei, Andrei Petrovski, Julian M. Bass |
| 2018 | IDEAL | Overlap-Based Undersampling for Improving Imbalanced Data Classification. | Pattaramon Vuttipittayamongkol, Eyad Elyan, Andrei Petrovski, Chrisina Jayne |
| 2016 | EANN | Designing a Context-Aware Cyber Physical System for Smart Conditional Monitoring of Platform Equipment. | Farzan Majdani, Andrei Petrovski, Daniel C. Doolan |
| 2016 | EANN | Intelligent Measurement in Unmanned Aerial Cyber Physical Systems for Traffic Surveillance. | Andrei Petrovski, Prapa Rattadilok, Sergey Petrovski |
| 2016 | MOMM | UDetect: Unsupervised Concept Change Detection for Mobile Activity Recognition. | Sulaimon Adebayo Bashir, Andrei Petrovski, Daniel C. Doolan |
| 2015 | MOMM | ClusterNN: A Hybrid Classification Approach to Mobile Activity Recognition. | Sulaimon Bashir, Daniel C. Doolan, Andrei Petrovski |
| 2015 | SIN | Designing a context-aware cyber physical system for detecting security threats in motor vehicles. | Andrei Petrovski, Prapa Rattadilok, Sergey Petrovski |
| 2014 | INISTA | Adaptive fault detection tool for real-time integrity monitoring of Subsea Control Systems. | Frederic Bouchet, Andrei Petrovski |
| 2013 | IDEAL | Mutual Information for Performance Assessment of Multi Objective Optimisers: Preliminary Results. | Noura Al Moubayed, Andrei Petrovski, John A. W. McCall |
| 2013 | IDEAL | Anomaly Monitoring Framework Based on Intelligent Data Analysis. | Prapa Rattadilok, Andrei Petrovski, Sergey Petrovski |
| 2012 | CEC | Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces. | Noura Al Moubayed, Bashar Awwad Shiekh Hasan, John Q. Gan, Andrei Petrovski, John A. W. McCall |
| 2011 | GECCO | Clustering based leaders' selection in multi-objective evolutionary algorithms. | Noura Al Moubayed, Andrei Petrovski, John A. W. McCall |
| 2011 | IDEAL | Clustering-Based Leaders' Selection in Multi-Objective Particle Swarm Optimisation. | Noura Al Moubayed, Andrei Petrovski, John A. W. McCall |
| 2010 | CEC | Evolved Bayesian Network models of rig operations in the gulf of Mexico. | Franois A. Fournier, John A. W. McCall, Andrei Petrovski, Peter J. Barclay |
| 2010 | PPSN | A Novel Smart Multi-Objective Particle Swarm Optimisation Using Decomposition. | Noura Al Moubayed, Andrei Petrovski, John A. W. McCall |
| 2008 | GECCO | An application of a multivariate estimation of distribution algorithm to cancer chemotherapy. | Alexander E. I. Brownlee, Martin Pelikan, John A. W. McCall, Andrei Petrovski |
| 2006 | GECCO | Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms. | Andrei Petrovski, Siddhartha Shakya, John A. W. McCall |
| 2005 | CEC | Statistical optimisation and tuning of GA factors. | Andrei Petrovski, Alexander E. I. Brownlee, John A. W. McCall |
| 2005 | GECCO | Smart problem solving environment for medical decision support. | Andrei Petrovski, John A. W. McCall |
| 2004 | PPSN | Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic Algorithms. | Andrei Petrovski, Bhavani Sudha, John A. W. McCall |
| 2001 | EMO | Multi-objective Optimisation of Cancer Chemotherapy Using Evolutionary Algorithms. | Andrei Petrovski, John A. W. McCall |