We’re the Applied Machine Learning lab at Queen Mary University of London, a research group within Electronic Engineering and Computer Science. Our members belong to various groups within EECS, including Risk and Information Management, Computer Vision, and Cognitive Science.

We study a variety of ML methodologies:

  • Lifelong Machine Learning
  • Transfer and Multi-Task Learning
  • Domain Adaptation
  • Cross-modal and zero-shot learning
  • Deep Learning
  • Bayesian Probabilistic Models
  • Reinforcement Learning
  • Active learning and Active perception
  • Weakly and semi-supervised learning

…and application areas:

  • Computer vision
  • Vision and Language
  • Robotics
  • Human Computer Interfaces
  • Health and Medicine
  • Social Network Analytics
  • Business Data Analytics