Barry Porter

Professor Barry Porter is a faculty member at Lancaster University in the School of Computing and Communications. His research focuses on emergent software platforms that address software complexity through component models, meta-software platforms, and machine learning. Key areas include distributed systems, cloud integration with sensor nodes, green computing, and real-time visualization.

Research Interests:

• Runtime adaptation in complex systems
• Self-assembling software architectures
• Machine learning for code optimization
• Distributed emergent systems at scale
• Green computing for multi-core environments
• Edge-cloud continuum integration

Recent Publication Trends: His 2025 work explores genetic improvement for software using speciation algorithms, program geometry projection, and multi-agent decision frameworks. Earlier studies (2022-2024) investigate edge-cloud systems, neural transfer learning, and ecosystem curation in emergent software.

Supervision & Projects: He supervises PhD student Ben Craine and leads projects like B-EGI (Bio-Enhanced Genetic Improvement) and BBC Prosperity Partnership for media delivery. Collaborations span environmental IoT, multi-agent learning, and fog computing.

Labs & Groups: Affiliated with the Lancaster Intelligent, Robotic and Autonomous Systems Centre, Centre of Excellence in Environmental Data Science, and the Distributed Systems group.