Shagofta Shabashkhan

Ms. Shagofta Shabashkhan

    Overview

    Profile summary

    Project Name: Welfare in a Snapshot: Thermal Imaging for Real-Time and Cumulative Welfare Assessment in Hens

    My PhD explores how thermal imaging can be used to understand and monitor stress and welfare in laying hens. When birds experience stress, their skin exhibits distinctive temperature changes. By capturing these changes continuously and non-invasively through thermal imaging, my research aims to reveal how a hen’s welfare, health, and perception of her environment are reflected in physiological thermal responses.

    The project combines controlled, small-scale experiments with large-scale data collection in commercial flocks, in collaboration with the Lakes Free Range Egg Company. This interdisciplinary work integrates experimental design in physiology and cognition with computational modelling and machine learning approaches in thermal biology and animal welfare science.

    Ultimately, my goal is to develop novel tools and concepts for assessing stress and welfare in hens, with potential applications across livestock systems and precision livestock farming. This research contributes to advancing real-time welfare monitoring and data-driven approaches in animal science.

    Supervisors:

    1st Supervisor: Dr Katherine Herborn

    2nd Supervisor: Dr Mark Whiteside

    3rd Supervisor: Dr Ian Howard

    4th Supervisor: Dr Oliver Tills

    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 11 - Sustainable Cities and Communities
    • SDG 12 - Responsible Consumption and Production
    • SDG 15 - Life on Land

    Academic qualifications

    Bachelor in Computer Science, Karnatak University Dharwad

    MSc in Data Science, University of Sheffield

    Research Interests

    • Animal Physiology
    • Deep Learning
    • Thermal Imaging
    • Animal Welfare
    • Animal Behaviour
    • Food Sustainability
    • Thermal Physiology
    • Machine Learning
    • Artificial Intelligence