Thouseena Ajmal
Thouseena Ajmal
Email: c3060000@hallam.shu.ac.uk
Research Centre: NCEFE
Research Group: Digital connectivity
PhD Thesis Title: Developing Artificial Intelligence enabled Hyperspectral Imaging for quality & microbiological safety of salmon fish
Director of Studies: Prof. Alex Shenfield
Supervisors: Dr Caroline Millman & Dr Helen Martin
SUMMARY
I have a background in food processing engineering, food science and food safety – studying and working in both the UK and India. My research explores how multi-modal imaging techniques can be combined with laboratory analysis to helping decision making in quality assessment for food manufacturing and is contributing to ‘Digital innovations’ and ‘Healthier lives’.
RESEARCH
This research project aims to design, develop, and implement an AI-based hyperspectral imaging (HSI) technology to rapidly evaluate the quality and microbiological content of premium grade perishable salmon without destructive testing.
Key objectives include investigating variables affecting salmon quality and safety, examining HSI’s impact on different salmon types, and developing algorithms for accurate identification of microbiological and quality components. The project will validate HSI technology in a laboratory setting and compare it with traditional methods to demonstrate its non-invasive effectiveness.
Leveraging Faraday Scientific Ltd.’s multispectral imaging technology and advanced AI, this project seeks to provide real-time, continuous food safety assessments, enhancing the UK’s £9.5 billion seafood supply chain by ensuring higher standards of food safety and quality, ultimately safeguarding public health, and maintaining consumer trust.