• University of Huddersfield
    HD1 3DH

    United Kingdom

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Last updated 17th April 2024


I'm a lecturer at the University of Huddersfield, focusing on computing and engineering. My academic journey began with a bachelor's degree in computer science, which I pursued in both Pakistan and the USA, concluding in 2015. It was during this period that I developed a fascination with Artificial Intelligence (AI) and its incredible applications, inspiring me to further my education. I moved to the UK to complete my master's degree at Bradford University, where I graduated with distinction in 2018. My master's project involved developing a digital marketing solution for local businesses using natural language processing (NLP), which aimed to automate their advertising efforts.

Motivated by my growing interest in AI, I embarked on a PhD journey in 2019 under the guidance of Prof. Andrew Crampton and Prof. Simon Parkinson. My research focused on detecting micro-defects in laser powder bed fusion processes using deep learning models, a project that held significant implications for improving quality assurance in metal additive manufacturing.

Currently, my research primarily revolves around applying computer vision techniques to enhance quality assurance in industrial 3D metal printing and to assist in cancer diagnosis through medical imaging. With over five years of experience in developing deep learning models, my work has contributed to the successful completion of two Innovate UK projects and has established fruitful collaborations with various international companies and colleagues.

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 3 - Good Health and Well-being
  • SDG 4 - Quality Education
  • SDG 9 - Industry, Innovation, and Infrastructure

Education/Academic qualification

PhD, The identification of micro-defect anomalies in laser powder bed fusion via deep machine learning models

1 Sep 20191 Aug 2023

Award Date: 14 Aug 2023

Research Expertise and Interests

  • Machine Learning
  • Deep Learning
  • Artificial Intellegence
  • Data Analysis
  • Data Science
  • Data Mining
  • Additive Manufacturing
  • Quality Assurance
  • Cancer Research
  • Computer Vision
  • Image Processing
  • object detection


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