Aftab Khan

aftab.khan@ncl.ac.uk | Research Associate

Aftab Khan

My research agenda is centred on Computational Behaviour Analysis, Machine Learning and Pattern Recognition. I’m particularly interested in human behaviour analysis through automated activity recognition. Such activity data is generally captured in an opportunistic manner utilising a variety of sensing modalities, most notably pervasive/ubiquitous sensors e.g., accelerometers and environmental sensors. The purpose of this technical agenda is to support and promote health and wellbeing of humans, largely by providing situated support. Such innovative assistive technology enables research that has a positive impact on people’s lives. The key to this is fundamental research in innovative machine learning techniques, especially focusing on sequential data analysis, grounded in a thorough understanding of the application domain.

I am currently involved in a project related to the automatic assessment of behaviour in children and young adults with certain disabilities in which they exhibit a range of extreme problem behaviours. This involves the development of a Human Activity Recognition system that uses appropriate sensing technologies in order to track these problem behaviours. I have also been involved in an EPSRC project (TEDDI) that explores pervasive sensing and activity recognition for behaviour analysis in buildings. In this project, we developed a hierarchical machine learning model for occupancy estimation for optimal resource management in the context of smart buildings.

Prior to this I was involved in an EPSRC project that addressed the challenging problem of autonomous cognition at the interface of vision and language. We developed various machine learning and pattern recognition techniques towards building an adaptive multi-level framework for autonomous bootstrapping of high and low level visual representations within a constrained, rule-governed environment such as sports.


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Associated Projects

  • Automatic Assessment of Problem Behaviour
    In certain disabilities, children and young adults can exhibit a range of extreme problem behaviours, including episodes of biting, kicking and self-injurious behaviour which might occur numerous times even in a single day. Existing treatments rely upo...
    August 30, 2011
  • Ambient Kitchen
    The Ambient Kitchen is a platform for research in pervasive computing that was installed at Culture Lab in 2007. It is a proof-of-concept context-aware computing environment, originally designed to demonstrate the potential for technology to support ol...
    August 30, 2011
  • TEDDI: Building Management and Energy Demand
    This research project involves the design and development of a sensing infrastructure that consists of networked physical (e.g. presence sensors, power consumption sensors) and virtual (e.g. calendar and room booking sensors, application usage sensors)...
    August 30, 2011
 
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