Prof. Richard Mortier

About

Richard Mortier, more commonly known as mort, is Professor of Computing & Human-Data interaction at Cambridge University, President of Christ's College. Past research has included distributed system performance monitoring and debugging, incentives in Internet routing protocols, and real-time media platform design and implementation. Current work includes platforms for privacy preserving personal data processing, IoT security, smart cities, and machine learning for knowledge management platforms. Alongside his academic career, roles have included platform architect, founder, and CTO while consulting and working for startups and corporates in both the US and the UK. Themes Systems and Networking Human-Centred Computing Machine Learning and Artificial Intelligence Teaching Advanced Topics in

Selected publications

• Jeffery, A., 2025 (No publication date). Modelling orchestration Doi: 10.17863/CAM.114695
• Safronov, V., 2024 (No publication date). Decentralised protocol-independent automation in smart buildings Doi: http://doi.org/10.17863/CAM.110580
• Randal, A., 2023 (No publication date). Transient execution vulnerabilities in the security context of server hardware Doi: 10.17863/CAM.104431
• Oliver, KH., 2021 (No publication date). Obstacles to wearable computing Doi: 10.17863/CAM.78712
• Chen, C., Guan, P., Li, L., Torres, PJR., Kolcun, R. and Mortier, R., 2025 (Accepted for publication). EFaaS: Energy-efficient Function Orchestration in Serverless Edge Computing Doi: 10.17863/CAM.117750
• Chen, C., Carlini, E. and Mortier, R., 2025 (Accepted for publication). Dike: Deep Reinforcement Learning For Function Scheduling in SLO-targeted Serverless Edge Computing Doi: 10.17863/CAM.117749
• Behfar, S., Mortier, R. and Crowcroft, J., 2025. Analysis of Information Propagation in Ethereum Network Using Combined Graph Attention Network and Reinforcement Learning to Optimize Network Efficiency and Scalability. EuroMLSys,
• Safronov, V. and Mortier, R., 2025. LoRaLive: Efficient LoRaWAN Traffic Generation Tdis 2025 Proceedings of the 2025 3rd International Workshop on Testing Distributed Internet of Things Systems Part of Eurosys 2025, Doi: 10.1145/3719159.3721221
• Sassi, A., Jensen, C. and Mortier, R., 2025. Reckon-ing Kubernetes at the Edge using Emulated Clusters Tdis 2025 Proceedings of the 2025 3rd International Workshop on Testing Distributed Internet of Things Systems Part of Eurosys 2025, Doi: 10.1145/3719159.3721222
• Behfar, S., Mortier, R. and Crowcroft, J., 2025. Analysis of Information Propagation in Ethereum Network Using Combined Graph Attention Network and Reinforcement Learning to Optimize Network Efficiency and Scalability Euromlsys 2025 Proceedings of the 2025 5th Workshop on Machine Learning and Systems, Doi: 10.1145/3721146.3721965