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Artificial Intelligence Enabled Smart LED Lighting for Eco, and Assisted Living Space

  • Full or part time
    Dr V Ojha
  • Application Deadline
    Monday, March 04, 2019
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

Internet of Things (IoT) is the fastest emerging research topic in Computer Science. It aims to connect devices, equipment, and home appliances for creating Smart, Eco, and Assisted living space. Google Home is an excellent example of IoT where not only it plays music and video, it also let us control your smart Home appliances. This project aims to investigate and develop an Artificial Intelligence (AI) enabled Smart LED Lighting for Eco and Assisted Living Space. The research focuses on developing sophisticated and powerful AI algorithms to detect human posture and motion tracking for smart control of LED lighting in Eco and Assisted Living Spaces. This research will use Industrial, Scientific and Medical (ISM) bands of 2.4GHz or 5.8GHz non-intrusive microwave technology based Radar sensors system for data acquisition, experimentation, and simulation. The overall vision of the proposed idea can be interpreted as a closed control system including LED building in low-cost unobtrusive sensors microwave radar sensing, machine learning, internet of things, and lighting optimization. The focus of this PhD project is therefore to address some significant technological challenges in artificial intelligence, i.e., designing and testing novel signal processing and machine learning algorithms. Specifically, the major technical challenges for the PhD are human detection, posture recognition, motion tracking from invasive microwave sensors. This PhD research project will be in close collaboration with Kosnic Lighting Ltd., a major UK LED company, who will provide partial funding, laboratory facility for experimental design, data acquisition, and technical guidance.

Funding Notes

EPSRC Doctoral Training Program funded.

Applicants should hold a Master Degree or expect to gain a minimum of a 2:1 Bachelor Degree or equivalent in Computer Science, Electronic engineering, Automatic control, or mathematics background with strong MATLAB and Python programming skill. Due to restrictions on the funding, this studentship is open to UK/EU students.


Please quote the reference ‘GS19-024’ in the ‘Scholarships applied for’ box which appears within the Funding Section of your online

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