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Yasir Ijaz, (PhD Researcher)

20242024

Research activity per year

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Research Interests

Yasir Ijaz’s research work with Ulster University Research & Innovation and Seagate Technology primarily revolves around pioneering research and the development of cutting-edge image analytic solutions tailored to tackle material handling challenges in industrial environments. He is meticulously evaluating object detection methods to ascertain the precise physical state of equipment load locks, ensuring the safety and reliability of loading operations. This innovative approach aims to replace traditional physical and electronic tool interlocks with a sophisticated software-defined interlock system.

Yasir thrives in an environment that fosters innovation, where he can engage in applied research, devise intelligent solutions, and collaborate closely through his dynamic Ulster University PHD research and Smart Nano NI team.  Smart Nano NI’s continues to develop and grow talent across the photonics sector.

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 1 - No Poverty
  • SDG 2 - Zero Hunger
  • SDG 3 - Good Health and Well-being
  • SDG 4 - Quality Education
  • SDG 9 - Industry, Innovation, and Infrastructure

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  • 1 Similar Profiles
  • Automated Industrial Load Station Inspection

    Ijaz, Y., Coleman, S., Kerr, D., Siddique, N., McAteer, C. & Nguyen, K., 28 Nov 2024, (Published online) 2024 IEEE International Conference on Imaging Systems and Techniques (IST). IEEE, 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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