Mr. Rahman Attar

Mr. Rahman Attar

Abdolrahman Attar Qazaani (known Rahman Attar to friends) was born in Tehran-Iran (1989). He graduated from the University of Guilan with a BEng degree in Computer Engineering in 2012. Then, in 2013, he joined Computational Intelligence Laboratory (CIL) at University of Lincoln (UK) where he received full scholarship to carry out research on image enhancement and registration for the latest generation of wireless endoscopy systems with multiple image sensors, under supervision of Prof. Shigang Yue. During this period, he visited the Institute of Microelectronics at Tsinghua University in Beijing as a senior visiting scholar under the supervision of Professor Zhihua Wang and Prof. Xiang Xie. He was awarded a Marie Curie Fellowship to be involved in the EU FP7- EYE2E/LIVCODE projects during his study. He obtained MPhil degree from School of Computer Science - University of Lincoln in Feb 2016 and Since then has collaborated with CIL as an associate member of the group.

He has completed projects and published several journal and conference papers in the field of Image Processing and Computer Vision. He also has served as a reviewer for several international conferences.

Currently, he is a PhD student in Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), Department of Electronic and Electrical Engineering, University of Sheffield. He has been awarded a Faculty of Engineering Doctoral Academy Scholarship to undertake research in CISTIB under supervision of Prof. Alejandro Frangi and Dr Jose Pozo Soler.

The main aim of his current project is to develop content aware and quality aware automatic image analysis methods capable of extracting quantitative imaging biomarkers from large population imaging cohorts in accurate, robust and efficient manner. This work demonstrates these techniques in the UK Biobank Imaging Study (100,000 subjects) and other relevant cohorts available through the Mellanby Centre for Bone Research (2,000-5,000 subjects). This project is a collaboration between CISTIB and the Mellanby Centre for Bone Research and focuses on developing quantitative models of ageing and osteoporosis from longitudinal and cross-sectional imaging studies.

See my Google Scholar Profile at:

Contact Details

  • E-mail:
  • Address
    School of Computing and School of Medicine, University of Leeds
  • City
    Rm 8.05, Woodhouse Lane, Leeds
  • State or Province
    West Yorkshire
  • Zip Code
    LS2 9JT
  • Country
    United Kingdom
  • Telephone
    +44 (0) 114 222 5395