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Khadija Fraz

Khadija Fraz

Student Insight and Sector Policy Manager, Online Tutor, MSc in Artificial Intelligence

Khadija is a data scientist with technical knowledge and practical skills to delve into the intricacies of ML and DL algorithms.

With hands-on experience in analysing data and utilizing machine learning techniques for predictive analysis, Khadija shares real-world examples and demonstrates how ML and DL are applied in various domains.

Her role as a student insights and sector policy manager has given valuable insights into the educational landscape and industry requirements.

Khadijia is also passionate about careers in AI and helps students navigate opportunities in this rapidly evolving field.

Publications

  • Fahim, M., Fraz, K., Sillitti, A., 'TSI: Time series to imaging based model for detecting anomalous energy consumption in smart buildings', 2020.

  • Hamizi, I., Bakare, A., Fraz, K., Dlamini, G., Kholmatova, Z., 'A Meta-analytical Comparison of Energy Consumed by Two Different Programming Languages', 2022

  • Khan, A., Fraz, K., "Post-training iterative hierarchical data augmentation for deep networks.", 2020.

Artificial Intelligence (AI) is at the forefront of the Fourth Industrial Revolution

The online MSc in Artificial Intelligence course has been designed to support individuals who are ready to lead in this fast-moving field and create new opportunities for themselves and their organisations.

EXPLORE THE COURSE ❯

Artificial intelligence professionals using technology in a lab

The University of Hull and its digital courses provider, Hull Online Limited, delivered in partnership with Cambridge Education Group Digital (CEGD), will only use your personal data to contact you in relation to our courses. For further information, please see the privacy policy.

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