Dr. Muhammad Aurangzeb Khan

Employment

• University of Manchester Senior Experimental Officer
  2021 - Present
• Lancaster University Senior Teaching Associate
  2020 - 2020
• Lancaster University Senior Research Associate
  2018 - 2020
• Lancaster University Visiting Research Fellow
  2018 - 2018
• COMSATS University Islamabad Assistant Professor
  2015 - 2018
• Iphestos Systems Ltd. Software Development Engineer
  2014 - 2015
• COMSATS University Islamabad Assistant Professor
  2007 - 2011
• COMSATS University Islamabad Lecturer
  2005 - 2007
• Lancaster University
  ? - 2021

Education

• Lancaster University PhD Communication Systems
  2011 - 2015
• University of Engineering and Technology MSc Computer Engineering
  2008 - 2010
• International Islamic University MS Computer Science
  2002 - 2004
• International Islamic University BSc (hons) Computer Science
  1998 - 2001

Projects & Funding

Projects & funding information is unavailable.

Publications (41)

• Anti-progestin therapy targets hallmarks of breast cancer risk
  Nature. 2025 DOI: 10.1038/s41586-025-09684-7
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• A Novel Self-Organizing PID Approach for Controlling Mobile Robot Locomotion
  2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) 2020 DOI: 10.1109/FUZZ48607.2020.9177557
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• Shallow Vessel Segmentation Network for Automatic Retinal Vessel Segmentation.
  IEEE World Congress on Computational Intelligence 2020
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• Exploiting Residual Edge Information in Deep Fully Convolutional Neural Networks For Retinal Vessel Segmentation.
  IEEE World Congress on Computational Intelligence 2020
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• A Novel Self-Organizing PID Approach for Controlling Mobile Robot Locomotion
  2019
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• GGM classifier with multi-scale line detectors for retinal vessel segmentation
  Signal, Image and Video Processing 2019 DOI: 10.1007/s11760-019-01515-3
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• An Odometer-Free Approach for Unmanned Ground-Based Vehicle Simultaneous Localization and Mapping
  Workshops -2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, 26/10/19 2019
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• Automatic optic disk detection and segmentation by variational active contour estimation in retinal fundus images
  Signal, Image and Video Processing 2019 DOI: 10.1007/s11760-019-01463-y
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• Multi-parametric optic disc segmentation using superpixel based feature classification
  Expert Systems with Applications 2019 DOI: 10.1016/j.eswa.2018.12.008
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• Fully automated multi-parametric brain tumour segmentation using superpixel based classification
  Expert Systems with Applications 2019 DOI: 10.1016/j.eswa.2018.10.040
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