• University of Huddersfield
    HD1 3DH

    United Kingdom

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Last updated 17th April 2024


DR MUHAMMAD HUSSAIN received the BEng. In Electrical and Electronic Engineering and M.S. degree in Internet of Things from the University of Huddersfield in 2019 and his Ph.D. in Artificial Intelligence for Industrial Defect Identification. His research is focused on the detection of Manufacturing based faults in particular Micro-cracks forming on the surface of Photovoltaic (PV) cells because of mechanical and thermal stress. He has a particular interest in the field of Machine Vision, focusing on the development of lightweight architectures that can be optimised for deployment on constrained edge devices and ultimately onto the production floor. He is also researching into design-level architectural interpretability, with a focus on explainable AI for sensitive fields such as Medicine and Healthcare. He is keen on the delineation of Machine Vision aimed at providing tangible solutions to small and medium sized firms.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 2 - Zero Hunger
  • SDG 3 - Good Health and Well-being
  • SDG 4 - Quality Education
  • SDG 7 - Affordable and Clean Energy
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities
  • SDG 13 - Climate Action

Research Expertise and Interests

  • Fault Detection
  • Crack Detection
  • Inspection
  • Electroluminescence


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