Esha Nasir

Esha is a PhD student under the supervision of Dr. Shan Raza, focusing on computational pathology and advanced image analysis. My research centers on the analysis of whole-slide and multiplex imaging data, with a particular emphasis on multi-modality image registration across H&E, IHC, PAS, and multiplex immunofluorescence (mIF) images. In addition to image registration, my work involves multiplex immunofluorescence-based cell phenotyping to identify and characterize diverse cell populations within tissue samples. I also develop methods for mitosis classification, aiming to quantify proliferative activity and assess tissue dynamics. By integrating these approaches, my research contributes to a deeper understanding of tissue architecture, cellular heterogeneity, and functional interactions, with potential applications in cancer research, diagnostics, and biomarker discovery

Computer Science
University of Warwick
Coventry, UK CV4 7AL
Email: esha.nasir@warwick.ac.uk
Office: CS 3.02 Department of Computer Science

Computer Vision, Medical Image Analysis, Computational Pathology, Data Analytics, Deep Learning & Artificial Intelligence, Research

• Operations support consultant at Teradata
• Research Software Engineer at CIM University of Warwick

  • • IM939: Data Science Across Disciplines: Principles, Practice and Critique

    • IM950 Scaling Data and Societies

    • IM954 Generative AI Histories, Techniques, Cultures, and Impacts

    • CIM PGT Skills Programme

• Senior Graduate Teaching Assistant at University of Warwick
  
  • • CS324 Computer Graphics

• B.E Computer Engineering, NUST, Pakistan.

( Graduation project:Automatic Inventory Management and Manufacturing Execution System )

• M.Sc. Computer Science, NUST, Pakistan.

( Dissertation: Nuclei Instance Segmentation and classification )