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Ruqayya Awan

Current Role

Ruqayya is a PhD student based in the Tissue Image Analytics (TIA) lab within the Computer Science Department - University of Warwick. She is working under the supervision of Prof. Nasir Rajpoot on the analysis of multi-gigapixel digitized pathology images.

Ruqayya's research is funded by the Warwick Chancellor’s International Scholarship.


Journal Papers

  • Awan, Ruqayya, et al. "Glandular structure-guided classification of microscopic colorectal images using deep learning." Computers & Electrical Engineering (2019): 106450.
  • Awan, Ruqayya, Somaya Al-Maadeed, and Rafif Al-Saady. "Using spectral imaging for the analysis of abnormalities for colorectal cancer: When is it helpful?." PloS one 13.6 (2018): e0197431.
  • Awan, Ruqayya, et al. "Glandular Morphometrics for Objective Grading of Colorectal Adenocarcinoma Histology Images." Scientific reports 7.1 (2017): 16852.
  • Bejnordi, Babak Ehteshami, et al. "Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer." Jama 318.22 (2017): 2199-2210. Listed in Consortium Authors.

  • Awan, Ruqayya, and Kashif Rajpoot. "Spatial and spatio-temporal feature extraction from 4D echocardiography images." Computers in biology and medicine 64 (2015): 138-147.

Conference Papers

  • Awan, Ruqayya, and Nasir Rajpoot. "Deep Autoencoder Features for Registration of Histology Images." Annual Conference on Medical Image Understanding and Analysis. Springer, Cham, 2018.
  • Awan, Ruqayya, et al. "Context-Aware Learning Using Transferable Features for Classification of Breast Cancer Histology Images." International Conference Image Analysis and Recognition. Springer, Cham, 2018.
  • Awan, Ruqayya, et al. "How divided is a cell? Eigenphase nuclei for classification of mitotic phase in cancer histology images." Biomedical and Health Informatics (BHI), 2016 IEEE-EMBS International Conference on. IEEE, 2016.
  • Awan, Ruqayya, and Kashif Rajpoot. "Investigation of 3D and 4D Feature Extraction from Echocardiography Images Using Local Phase Based Method." Frontiers of Information Technology (FIT), 2014 12th International Conference on. IEEE, 2014.
Professional Background
  • Research Assistant | Qatar University | Oct 2015- Sep 2017
    • Research Projects
      • Novel Prognostic Biomarkers for Colorectal Cancer via Computerized Analysis of Highly Multiplexed Protein Fluorescence Image Data
      • Automated Classification and Diagnosis of Tissue Patterns in Colorectal Tumors using Non Visible Multispectral lmagery
    • Camelyon16 Challenge: Breast Cancer Metastases Detection in Lymph Nodes
  • Software Quality Assurance | NAMAL College, Pakistan | July 2015- Sep 2015
  • Software Quality Assurance | National University of Science and Technology, Pakistan | Feb 2015- June 2015
  • PhD in CS | 2017-2021 | Department of Computer Science at University of Warwick, UK
  • MSCS | 2012-2015 | National University of Science and Technology (NUST), Pakistan
  • BSCS | 2006-2010 | PMAS Arid Agriculture University, Pakistan
Ruqayya Awan