Welcome!
Research Fellow, University of St Andrews
About Me
I am a Research Fellow at the University of St Andrews, specializing in efficient deep learning systems and optimizing training and inference for resource-constrained devices.
My research focuses on distributed machine learning and edge computing, bridging cloud and edge intelligence to enable scalable, real-world AI deployment.
Member of
🔹 Edge Computing Hub
- Based at the University of St Andrews in the UK, the Hub’s mission is to unlock the scientific and societal opportunities in the next Internet frontier—Edge computing.
🔹 National Edge AI Hub
- Developing Edge AI solutions for real-world industry challenges.
Research Interests
âš¡ Efficient Edge AI
- Optimizing AI workloads on resource-constrained devices.
- Exploring model compression techniques and adaptive learning strategies for efficient ML training and inference.
🔗 Federated & Distributed Learning
- Designing federated and collaborative learning paradigms.
- Addressing computation and communication bottlenecks in decentralized AI systems.
Let’s Connect!
I’m open to collaborations and discussions on Edge AI, Federated Learning, and Efficient ML Systems.
Feel free to reach out! 🚀