Maintaining SLOs of Cloud-Native Applications Via Self-Adaptive Resource Sharing. - Vladimir Podolskiy; Michael Mayo; Abigail M. Y. Koay; Michael Gerndt; Panos Patros (SASO, 2019)

Insights into WebAssembly: compilation performance and shared code caching in Node.js. - Tobias Nießen; Michael Dawson 001; Panos Patros; Kenneth B. Kent (CASCON, 2020)

The weakest link: revealing and modeling the architectural patterns of microservice applications. - Vladimir Podolskiy; Maria Patrou; Panos Patros; Michael Gerndt; Kenneth B. Kent (CASCON, 2020)

Embedding Java Classes with code2vec: Improvements from Variable Obfuscation. - Rhys Compton; Eibe Frank; Panos Patros; Abigail M. Y. Koay (MSR, 2020)

ESCAPADE: Encryption-Type-Ransomware: System Call Based Pattern Detection. - Christopher Jun-Wen Chew; Vimal Kumar 001; Panos Patros; Robi Malik (NSS, 2020)

A Self-Learning Architecture for Digital Twins with Self-Protection. - Chris Anderson; Timothy Gordon Walmsley; Panos Patros (ACSOS-C, 2021)

Towards Autoscaling with Guarantees on Kubernetes Clusters. - Stephen Burroughs; Helge Dickel; Martin van Zijl; Vladimir Podolskiy; Michael Gerndt; Robi Malik; Panos Patros (ACSOS-C, 2021)

Who is the Ringleader? Modelling Influence in Discourse using Doc2Vec. - Priyank Vyas; Tony Smith; Philip Feldman; Aaron Dant; Andreea Calude; Panos Patros (ACSOS-C, 2021)

Towards Embedding Data Provenance in Files. - Thye Way Phua; Panos Patros; Vimal Kumar 001 (CCWC, 2021)

Interpretable Deep Learning for Surgical Tool Management. - Mark Rodrigues; Michael Mayo; Panos Patros (iMIMIC/TDA4MedicalData@MICCAI, 2021)

Consistent Resource Utilization for Cross-Platform and Replicable Load-Testing: a Position Paper. - Harry McCarthy; Vladimir Podolskiy; Michael Gerndt; Panos Patros (MoDELS (Companion), 2021)

Toward Sustainable Serverless Computing. - Panos Patros; Josef Spillner; Alessandro V. Papadopoulos; Blesson Varghese; Omer F. Rana; Schahram Dustdar (IEEE Internet Comput., 2021)

Adaptive Edge-Cloud Environments for Rural AI. - Osama Almurshed; Panos Patros; Victoria Huang 001; Michael Mayo; Melanie Ooi; Ryan Chard; Kyle Chard; Omer F. Rana; Harshaan Nagra; Matt Baughman; Ian T. Foster (SCC, 2022)

Evaluation of Deep Learning Techniques on a Novel Hierarchical Surgical Tool Dataset. - Mark Rodrigues; Michael Mayo; Panos Patros (AI, 2022)

FLoX: Federated Learning with FaaS at the Edge. - Nikita Kotsehub; Matt Baughman; Ryan Chard; Nathaniel Hudson 001; Panos Patros; Omer F. Rana; Ian T. Foster; Kyle Chard (e-Science, 2022)

Surgical Tool Datasets for Machine Learning Research: A Survey. - Mark Rodrigues; Michael Mayo; Panos Patros (Int. J. Comput. Vis., 2022)

AI for next generation computing: Emerging trends and future directions. - Sukhpal Singh Gill; Minxian Xu; Carlo Ottaviani; Panos Patros; Rami Bahsoon; Arash Shaghaghi; Muhammed Golec; Vlado Stankovski; Huaming Wu; Ajith Abraham; Manmeet Singh; Harshit Mehta; et al. (Internet Things, 2022)

Benchmarking and learning garbage collection delays for resource-restricted graphical user interfaces. - Harry McCarthy; Abigail M. Y. Koay; Michael Dawson 001; Kenneth B. Kent; Panos Patros (Softw. Pract. Exp., 2022)

Prompt-GAN-Customisable Hate Speech and Extremist Datasets via Radicalised Neural Language Models. - Jarod Govers; Philip Feldman; Aaron Dant; Panos Patros (ICCAI, 2023)

Transformative Effects of ChatGPT on Modern Education: Emerging Era of AI Chatbots. - Sukhpal Singh Gill; Minxian Xu; Panos Patros; Huaming Wu; Rupinder Kaur; Kamalpreet Kaur; Stephanie Fuller; Manmeet Singh; Priyansh Arora; Ajith Kumar Parlikad; Vlado Stankovski; Ajith Abraham; et al. (CoRR, 2023)

Down the Rabbit Hole: Detecting Online Extremism, Radicalisation, and Politicised Hate Speech. - Jarod Govers; Philip Feldman; Aaron Dant; Panos Patros (ACM Comput. Surv., 2023)

Rural AI: Serverless-Powered Federated Learning for Remote Applications. - Panos Patros; Melanie Ooi; Victoria Huang 001; Michael Mayo; Chris Anderson; Stephen Burroughs; Matt Baughman; Osama Almurshed; Omer F. Rana; Ryan Chard; Kyle Chard; Ian T. Foster (IEEE Internet Comput., 2023)

Self-Adaptation in Industry: A Survey. - Danny Weyns; Ilias Gerostathopoulos; Nadeem Abbas; Jesper Andersson; Stefan Biffl; Premek Brada; Tomás Bures; Amleto Di Salle; Matthias Galster; Patricia Lago; Grace A. Lewis; Marin Litoiu; et al. (ACM Trans. Auton. Adapt. Syst., 2023)

Self-Adaptation in Industry: A Survey. - Danny Weyns; Ilias Gerostathopoulos; Nadeem Abbas; Jesper Andersson; Stefan Biffl; Premek Brada; Thomas Bures; Amleto Di Salle; Matthias Galster; Patricia Lago; Grace A. Lewis; Marin Litoiu; et al. (Software Engineering, 2024)

Modern Computing: Vision and Challenges. - Sukhpal Singh Gill; Huaming Wu; Panos Patros; Carlo Ottaviani; Priyansh Arora; Victor Casamayor-Pujol; David Haunschild; Ajith Kumar Parlikad; Oktay Cetinkaya; Hanan Lutfiyya; Vlado Stankovski; Ruidong Li 001; et al. (CoRR, 2024)

Android Crypto Ransomware System Call Dataset. - Christopher Jun-Wen Chew; Vimal Kumar 001; Panos Patros; Robi Malik (IEEE DataPort, 2024)

Real-time system call-based ransomware detection. - Christopher Jun-Wen Chew; Vimal Kumar 001; Panos Patros; Robi Malik (Int. J. Inf. Sec., 2024)

Automatic detection of Android crypto ransomware using supervisor reduction. - Christopher Jun-Wen Chew; Robi Malik; Vimal Kumar 001; Panos Patros (Discret. Event Dyn. Syst., 2024)