Multi-objective Optimisation of Cancer Chemotherapy Using Evolutionary Algorithms. - Andrei Petrovski 001; John A. W. McCall (EMO, 2001)

Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic Algorithms. - Andrei Petrovski 001; Bhavani Sudha; John A. W. McCall (PPSN, 2004)

Statistical optimisation and tuning of GA factors. - Andrei Petrovski 001; Alexander E. I. Brownlee; John A. W. McCall (Congress on Evolutionary Computation, 2005)

Smart problem solving environment for medical decision support. - Andrei Petrovski 001; John A. W. McCall (GECCO Workshops, 2005)

Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms. - Andrei Petrovski 001; Siddhartha Shakya; John A. W. McCall (GECCO, 2006)

An application of a multivariate estimation of distribution algorithm to cancer chemotherapy. - Alexander E. I. Brownlee; Martin Pelikan; John A. W. McCall; Andrei Petrovski 001 (GECCO, 2008)

Evolved Bayesian Network models of rig operations in the gulf of Mexico. - François A. Fournier; John A. W. McCall; Andrei Petrovski 001; Peter J. Barclay (IEEE Congress on Evolutionary Computation, 2010)

A Novel Smart Multi-Objective Particle Swarm Optimisation Using Decomposition. - Noura Al Moubayed; Andrei Petrovski 001; John A. W. McCall (PPSN (2), 2010)

Multi-objective optimisation of cancer chemotherapy using smart PSO with decomposition. - Noura Al Moubayed; Andrei Petrovski 001; John A. W. McCall (MCDM, 2011)

Clustering based leaders' selection in multi-objective evolutionary algorithms. - Noura Al Moubayed; Andrei Petrovski 001; John A. W. McCall (GECCO (Companion), 2011)

Clustering-Based Leaders' Selection in Multi-Objective Particle Swarm Optimisation. - Noura Al Moubayed; Andrei Petrovski 001; John A. W. McCall (IDEAL, 2011)

Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces. - Noura Al Moubayed; Bashar Awwad Shiekh Hasan; John Q. Gan; Andrei Petrovski 001; John A. W. McCall (IEEE Congress on Evolutionary Computation, 2012)

D 2 MOPSO: Multi-Objective Particle Swarm Optimizer Based on Decomposition and Dominance. - Noura Al Moubayed; Andrei Petrovski 001; John A. W. McCall (EvoCOP, 2012)

Adaptation of smard grid technologies. - Andrew Malakhov; Petr Kopyriulin; Sergey Petrovski; Andrei Petrovski 001 (FUZZ-IEEE, 2012)

Inferential measurements for situation awareness. - Prapa Rattadilok; Andrei Petrovski 001 (CIVEMSA, 2013)

Mutual Information for Performance Assessment of Multi Objective Optimisers: Preliminary Results. - Noura Al Moubayed; Andrei Petrovski 001; John A. W. McCall (IDEAL, 2013)

Anomaly Monitoring Framework Based on Intelligent Data Analysis. - Prapa Rattadilok; Andrei Petrovski 001; Sergey Petrovski (IDEAL, 2013)

Automated inferential measurement system for traffic surveillance: Enhancing situation awareness of UAVs by computational intelligence. - Prapa Rattadilok; Andrei Petrovski 001 (CICA, 2014)

Self-learning data processing framework based on computational intelligence enhancing autonomous control by machine intelligence. - Prapa Rattadilok; Andrei Petrovski 001 (EALS, 2014)

Adaptive fault detection tool for real-time integrity monitoring of Subsea Control Systems. - Frederic Bouchet; Andrei Petrovski 001 (INISTA, 2014)

D2MOPSO: MOPSO Based on Decomposition and Dominance with Archiving Using Crowding Distance in Objective and Solution Spaces. - Noura Al Moubayed; Andrei Petrovski 001; John A. W. McCall (Evol. Comput., 2014)

Evaluating Degrees of Multitenancy Isolation: A Case Study of Cloud-Hosted GSD Tools. - Laud Charles Ochei; Julian M. Bass; Andrei Petrovski 001 (ICCAC, 2015)

ClusterNN: A Hybrid Classification Approach to Mobile Activity Recognition. - Sulaimon Bashir; Daniel C. Doolan; Andrei Petrovski 001 (MoMM, 2015)

Designing a context-aware cyber physical system for detecting security threats in motor vehicles. - Andrei Petrovski 001; Prapa Rattadilok; Sergey Petrovski (SIN, 2015)

Implementing the Required Degree of Multitenancy Isolation: A Case Study of Cloud-Hosted Bug Tracking System. - Laud Charles Ochei; Andrei Petrovski 001; Julian M. Bass (SCC, 2016)

Designing a Context-Aware Cyber Physical System for Smart Conditional Monitoring of Platform Equipment. - Farzan Majdani; Andrei Petrovski 001; Daniel C. Doolan (EANN, 2016)

Intelligent Measurement in Unmanned Aerial Cyber Physical Systems for Traffic Surveillance. - Andrei Petrovski 001; Prapa Rattadilok; Sergey Petrovski (EANN, 2016)

UDetect: Unsupervised Concept Change Detection for Mobile Activity Recognition. - Sulaimon Adebayo Bashir; Andrei Petrovski 001; Daniel C. Doolan (MoMM, 2016)

Clustering and Nearest Neighbour Based Classification Approach for Mobile Activity Recognition. - Sulaimon Bashir; Daniel C. Doolan; Andrei Petrovski 001 (J. Mobile Multimedia, 2016)

A framework for unsupervised change detection in activity recognition. - Sulaimon Adebayo Bashir; Andrei Petrovski 001; Daniel C. Doolan (Int. J. Pervasive Comput. Commun., 2017)

Towards Situational Awareness of Botnet Activity in the Internet of Things. - Christopher D. McDermott; Andrei V. Petrovski; Farzan Majdani (CyberSA, 2018)

Fuzzy Data Analysis Methodology for the Assessment of Value of Information in the Oil and Gas Industry. - Martin Vilela; Gbenga Folorunso Oluyemi; Andrei Petrovski 001 (FUZZ-IEEE, 2018)

Overlap-Based Undersampling for Improving Imbalanced Data Classification. - Pattaramon Vuttipittayamongkol; Eyad Elyan; Andrei Petrovski 001; Chrisina Jayne (IDEAL (1), 2018)

Generic Application of Deep Learning Framework for Real-Time Engineering Data Analysis. - Farzan Majdani; Andrei Petrovski 001; Sergey Petrovski (IJCNN, 2018)

Botnet Detection in the Internet of Things using Deep Learning Approaches. - Christopher D. McDermott; Farzan Majdani; Andrei Petrovski 001 (IJCNN, 2018)

Evolutionary Computation for Optimal Component Deployment with Multitenancy Isolation in Cloud-hosted Applications. - Laud Charles Ochei; Andrei Petrovski 001; Julian M. Bass (INISTA, 2018)

Evolving ANN-based sensors for a context-aware cyber physical system of an offshore gas turbine. - Farzan Majdani; Andrei Petrovski 001; Daniel C. Doolan (Evol. Syst., 2018)

A framework for achieving the required degree of multitenancy isolation for deploying components of a cloud-hosted service. - Laud Charles Ochei; Andrei Petrovski 001; Julian M. Bass (Int. J. Cloud Comput., 2018)

Degrees of tenant isolation for cloud-hosted software services: a cross-case analysis. - Laud Charles Ochei; Julian M. Bass; Andrei Petrovski 001 (J. Cloud Comput., 2018)

Reducing Computational Cost in IoT Cyber Security: Case Study of Artificial Immune System Algorithm. - Idris Zakariyya; M. Omar Al-Kadri; Harsha K. Kalutarage; Andrei Petrovski 001 (ICETE (2), 2019)

The use of machine learning algorithms for detecting advanced persistent threats. - Hope Nkiruka Eke; Andrei Petrovski 001; Hatem Ahriz (SIN, 2019)

Evaluating Awareness and Perception of Botnet Activity within Consumer Internet-of-Things (IoT) Networks. - Christopher D. McDermott; John P. Isaacs; Andrei V. Petrovski (Informatics, 2019)

Optimal deployment of components of cloud-hosted application for guaranteeing multitenancy isolation. - Laud Charles Ochei; Andrei Petrovski 001; Julian M. Bass (J. Cloud Comput., 2019)

Detection of False Command and Response Injection Attacks for Cyber Physical Systems Security and Resilience. - Hope Nkiruka Eke; Andrei Petrovski 001; Hatem Ahriz (SIN, 2020)

Detecting Malicious Signal Manipulation in Smart Grids Using Intelligent Analysis of Contextual Data. - Farzan Majdani; Lynne Batik; Andrei Petrovski 001; Sergey Petrovski (SIN, 2020)

Sensitivity analysis applied to fuzzy inference on the value of information in the oil and gas industry. - Martin Vilela; Gbenga Folorunso Oluyemi; Andrei Petrovski 001 (Int. J. Appl. Decis. Sci., 2020)

Handling Minority Class Problem in Threats Detection Based on Heterogeneous Ensemble Learning Approach. - Hope Eke; Andrei Petrovski 001; Hatem Ahriz (Int. J. Syst. Softw. Secur. Prot., 2020)

Automated Microsegmentation for Lateral Movement Prevention in Industrial Internet of Things (IIoT). - Murshedul Arifeen; Andrei Petrovski 001; Sergey Petrovski (SIN, 2021)

Improving Intrusion Detection Through Training Data Augmentation. - Uneneibotejit Otokwala; Andrei Petrovski 001; Harsha K. Kalutarage (SIN, 2021)

Comparative Study of Malware Detection Techniques for Industrial Control Systems. - Deborah Reid; Ian Harris; Andrei Petrovski 001 (SIN, 2021)

On the class overlap problem in imbalanced data classification. - Pattaramon Vuttipittayamongkol; Eyad Elyan; Andrei Petrovski 001 (Knowl. Based Syst., 2021)

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 003 (AsiaCCS, 2022)

Keep the Moving Vehicle Secure: Context-Aware Intrusion Detection System for In-Vehicle CAN Bus Security. - Sampath Rajapaksha; Harsha K. Kalutarage; M. Omar Al-Kadri; Garikayi Madzudzo; Andrei V. Petrovski (CyCom, 2022)

Topology for Preserving Feature Correlation in Tabular Synthetic Data. - Murshedul Arifeen; Andrei Petrovski 001 (SIN, 2022)

A Comparative Study of Novelty Detection Models for Zero Day Intrusion Detection in Industrial Internet of Things. - Uneneibotejit Otokwala; Murshedul Arifeen; Andrei Petrovski 001 (UKCI, 2022)

Android Code Vulnerabilities Early Detection Using AI-Powered ACVED Plugin. - Janaka Senanayake; Harsha K. Kalutarage; M. Omar Al-Kadri; Andrei Petrovski 001; Luca Piras 003 (DBSec, 2023)

FedREVAN: Real-time DEtection of Vulnerable Android Source Code Through Federated Neural Network with XAI. - Janaka Senanayake; Harsha Kalutarage; Andrei Petrovski 001; M. Omar Al-Kadri; Luca Piras 003 (ESORICS Workshops (2), 2023)

Bayesian Optimized Autoencoder for Predictive Maintenance of Smart Packaging Machines. - Murshedul Arifeen; Andrei Petrovski 001 (ICPS, 2023)

Advanced Persistent Threats Detection based on Deep Learning Approach. - Hope Nkiruka Eke; Andrei Petrovski 001 (ICPS, 2023)

Ensemble Common Features Technique for Lightweight Intrusion Detection in Industrial Control System. - Uneneibotejit Otokwala; Andrei Petrovski 001 (ICPS, 2023)

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 003; Andrei Petrovski 001 (SECRYPT, 2023)

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 001; Daniel Wöckinger; Gerd Bramerdorfer (SYNASC, 2023)

Improving In-vehicle Networks Intrusion Detection Using On-Device Transfer Learning. - Sampath Rajapaksha; Harsha Kalutarage; M. Omar Al-Kadri; Andrei Petrovski 001; Garikayi Madzudzo (VehicleSec, 2023)

Android Source Code Vulnerability Detection: A Systematic Literature Review. - Janaka Senanayake; Harsha K. Kalutarage; M. Omar Al-Kadri; Andrei Petrovski 001; Luca Piras 003 (ACM Comput. Surv., 2023)

CBANet: An End-to-End Cross-Band 2-D Attention Network for Hyperspectral Change Detection in Remote Sensing. - Yinhe Li; Jinchang Ren; Yijun Yan; Qiaoyuan Liu; Ping Ma 002; Andrei Petrovski 001; Haijiang Sun (IEEE Trans. Geosci. Remote. Sens., 2023)

Beyond vanilla: Improved autoencoder-based ensemble in-vehicle intrusion detection system. - Sampath Rajapaksha; Harsha Kalutarage; M. Omar Al-Kadri; Andrei Petrovski 001; Garikayi Madzudzo (J. Inf. Secur. Appl., 2023)

AI-Based Intrusion Detection Systems for In-Vehicle Networks: A Survey. - Sampath Rajapaksha; Harsha K. Kalutarage; M. Omar Al-Kadri; Andrei Petrovski 001; Garikayi Madzudzo; Madeline Cheah (ACM Comput. Surv., 2023)

Assessing the Performance of Ethereum and Hyperledger Fabric Under DDoS Attacks for Cyber-Physical Systems. - Vijay Jayadev; Naghmeh Moradpoor; Andrei Petrovski 001 (ARES, 2024)

HEADS: Hybrid Ensemble Anomaly Detection System for Internet-of-Things Networks. - Zeeshan Ahmad; Andrei Petrovski 001; Murshedul Arifeen; Adnan Shahid Khan; Syed Aziz Shah (EANN, 2024)

Assuring Privacy of AI-Powered Community Driven Android Code Vulnerability Detection. - Janaka Senanayake; Harsha Kalutarage; Luca Piras 003; Mhd Omar Al-Kadri; Andrei Petrovski 001 (ESORICS Workshops (2), 2024)

Securing Cyber-Physical Systems with Two-level Anomaly Detection Strategy. - Zeeshan Ahmad; Andrei Petrovski 001 (ICPS, 2024)

Temporal Graph Convolutional Autoencoder based Fault Detection for Renewable Energy Applications. - Murshedul Arifeen; Andrei Petrovski 001 (ICPS, 2024)

DataDRILL: Formation Pressure Prediction and Kick Detection for Drilling Rigs. - Murshedul Arifeen; Andrei Petrovski 001; Md Junayed Hasan; Igor V. Kotenko; Maksim Sletov; Phil Hassard (CoRR, 2024)

Defendroid: Real-time Android code vulnerability detection via blockchain federated neural network with XAI. - Janaka Senanayake; Harsha Kalutarage; Andrei Petrovski 001; Luca Piras 003; M. Omar Al-Kadri (J. Inf. Secur. Appl., 2024)

A Multi-Objective Evolutionary Approach to Discover Explainability Tradeoffs when Using Linear Regression to Effectively Model the Dynamic Thermal Behaviour of Electrical Machines. - Tiwonge Msulira Banda; Alexandru-Ciprian Zavoianu; Andrei Petrovski 001; Daniel Wöckinger; Gerd Bramerdorfer (ACM Trans. Evol. Learn. Optim., 2024)

Optimized common features selection and deep-autoencoder (OCFSDA) for lightweight intrusion detection in Internet of things. - Uneneibotejit Otokwala; Andrei Petrovski 001; Harsha Kalutarage (Int. J. Inf. Sec., 2024)

DataDRILL: Resilience Testbed for Industrial Cyber-physical Systems. - Murshedul Arifeen; Igor V. Kotenko; Andrei Petrovski 001; Phil Hassard (COMSNETS, 2025)

A Systematic Literature Review on Deep Learning-based Depth Estimation in Computer Vision. - Ali Rohan; Md Junayed Hasan; Andrei Petrovski 001 (CoRR, 2025)