Machine Learning Systems Lab

Overview

We investigate a range of topics that sit at the intersection of machine learning and various forms of computational systems (embedded, cloud, mobile). Within this direction our contributions often take one of two forms. First, novel algorithmic and theoretically principled approaches to the modelling of data such as image, audio, and inertial information. Second, the design and development of system components that treat machine learning computation as a first-class citizen. Our unifying aim is to invent the next-generation of device- and cloud-based systems able to perceive, reason and react to complex real-world environments and users. Our cross-discipline lab is part of the Cyber-Physical Systems Group and Department of Computer Science at the University of Oxford.

Current Members

Faculty

• Nicholas Lane

PhD Students

• Catherine Tong
• Milad Alizadeh
• Javier Fernandez
• Filip Svoboda
• Edgar Liberis
• Vivek Kothari
• Akhil Mathur (UCL, co-supervised with: Nadia Berthouze)
• Chongyang Wang (UCL, co-supervised with: Nadia Berthouze)

Joining and Collaborating with the Lab

If you are interested in joining or collaborating with the lab please feel free to contact me.