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Mariia Khan

Overview of thesis

My PhD research topic is “Multimodal AI for challenging rearrangement tasks in the context of service and assistive robots”. This project is a part of the collaboration between Edith Cowan University (WA, Australia) and Leibniz University of Hannover (L3S Research Center, Germany). I aim to build models capable of various aspects of the rearrangement task such as object detection and segmentation, object tracking, scene change detection and description.

Qualifications

  • Bachelor of Computer Science (Honours) – Vladimir State University (Vladimir, Russian Federation), 2011-2015
  • Translator in the field of Professional Communication (Honours) – Vladimir State University (Vladimir, Russian Federation), 2014-2016
  • Master of Applied Computer Science (Honours) – Vladimir State University (Vladimir, Russian Federation), 2015-2017

Research

Research Interests

  • Robotics
  • Change detection and description
  • Computer vision

Other work

  • 2024-till now: Associate Product Manager, Electrolux Australia (Perth, Australia)
  • 2022-2024: Software QA Test Engineer, Electrolux Australia (Perth, Australia)
  • 2021-2022: Software QA Test Engineer, Electrolux Germany (Rothenburg odT, Germany)
  • 2020-2021: Software QA Test Engineer, Electrolux Russia (St. Petersburg, Russian Federation)
  • 2019-2020: Innovation Engineer, Electrolux Rothenburg (Rothenburg o.d.T, Germany)
  • 2014-2016: QA Software Tester, BSC MSC (Vladimir, Russian Federation)
  • 2011-2014: Digital Content Manager, Alseni Ltd. (Vladimir, Russian Federation)

Scholarships and Awards

  • 2021-2024 – The Australian Government Research Training Program (RTP) Scholarship

Supervisors

  • Prof. David SUTER (School of Science, Edith Cowan University)
  • Dr Jumana ABU-KHALAF (School of Science, Edith Cowan University)
  • Prof. Dr. Ing. Bodo Rosenhahn (TNT, Leibniz university of Hannover)

Contact

Mrs Mariia Khan
PhD student
Centre for Artificial Intelligence and Machine Learning
School of Science
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