About Me
I am Yufeng Xia（夏驭风）— a first-year MSc by Research student at the Institute for Computing Systems Architecture (ICSA) at the University of Edinburgh, supervised by Prof. Mahesh K. Marina. I am also a member of the Networked Systems (NetSys) Group.
My research lies at the intersection of Networking and ML Systems, with a focus on building scalable and efficient systems for distributed machine learning at the edge.
I am particularly interested in reimagining communication and Radio Access Network (RAN) infrastructure as a unified platform for ML workloads, enabling a symbiotic relationship between network systems and AI.
Recently, my work has focused on AI-native RAN (AI-RAN) and Digital Twin systems, where real-time network environments are tightly coupled with data-driven models to enable adaptive, resource-efficient, and intelligent system behavior at scale.
Previously, I undertook summer research with Antonio Barbalace (Systems-Nuts research group), focusing on compiler optimization. I also obtained my B.Sc. in Computer Science from the University of Edinburgh with First Class Honours.
I am always open to academic discussions and potential collaborations. Please feel free to reach out to me at yufeng.xia [at] ed.ac.uk.
Research Interests
- Distributed Machine Learning Systems
- Edge Computing and Edge ML
- Networking and ML Systems Co-Design
- Network Digital Twin
- Compiler Optimization
News and Updates
- Apr 2026: Our paper Morphling: Emulator for Distributed Machine Learning at the Edge accepted at EdgeSys 2026!
- Apr 2026: Serving as a Volunteer Staff at EuroSys 2026.
- Sep 2025: Started MSc by Research in Computer Science at the University of Edinburgh.
- May 2025: Graduated with First Class Honours in B.Sc. Computer Science.
- Mar 2024: Started as Junior Research Assistant at ICSA, University of Edinburgh.