Esha Sadia Nasir

Esha Sadia Nasir (Research Software Engineer)

Profile

As a Research Software Engineer at CIM, I am dedicated to integrating technology into both teaching and research initiatives. I also ensure the smooth operation of our infrastructure while providing technical support for various research projects.

Currently, I am pursuing a PhD in Computer Science at the University of Warwick, specializing in Multiplex Immunofluorescence image processing and analysis. My research interests span across Computer Vision, Medical Image Analysis, Computational Pathology, Data Analytics, Deep Learning, and Artificial Intelligence.

Previously, as an Operations Support Consultant at Teradata, I was responsible for managing data warehouse operations, focusing on task supervision, job scheduling, workflow maintenance, and error management. I optimized physical design for enhanced performance, proposed system improvements, and executed critical incident and change management actions. Additionally, I coordinated workload releases, led client service reviews, and contributed to the full development lifecycle, from requirements gathering to deployment, ensuring the highest service standards.

Research

Subject area

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

Selected Publications

Journal

Nasir, E.S., Parvaiz, A. & Fraz, M.M. Nuclei and glands instance segmentation in histology images: a narrative review. Artif Intell Rev 56, 7909–7964 (2023). https://doi.org/10.1007/s10462-022-10372-5

Nasir, E.S., Rasool, S., Nawaz, R. et al. AFINITI: attention-aware feature integration for nuclei instance segmentation and type identification. Neural Comput & Applic (2024). https://doi.org/10.1007/s00521-024-10114-4

Parvaiz, A., Nasir, E.S. & Fraz, M.M. From Pixels to Prognosis: A Survey on AI-Driven Cancer Patient Survival Prediction Using Digital Histology Images. J Digit Imaging. Inform. med. 37, 1728–1751 (2024). https://doi.org/10.1007/s10278-024-01049-2

Nasir, E.S., Fraz, M.M. (2023). NuRISC: Nuclei Radial Instance Segmentation and Classification. In: Su, R., Zhang, Y., Liu, H., F Frangi, A. (eds) Medical Imaging and Computer-Aided Diagnosis. MICAD 2022. Lecture Notes in Electrical Engineering, vol 810. Springer, Singapore. https://doi.org/10.1007/978-981-16-6775-6_4

Other Books

Projects

High-Resolution Nuclei Points based Image Registration
Nuclei Instance Segmentation & Classification
Satellite Imagery Targets Detection using Faster-RCNN
Heart Disease Risk Estimation using Machine Learning
Deep-COVID: Predicting COVID-19 from Chest X-Ray Images using Deep Transfer Learning
Classification of B-ALL Cancer Cells using Data Augmentation through GANs and Ensemble Methods
Melanoma Skin Lesion Segmentation

Teaching

I support and run labs in Data Science Across Disciplines: Principles, Practice and Critique (IM939) and seminars in Introduction to Contemporary AI: Techniques & Critiques (IM9531). I provide technical supervision for the dissertation (IM906).

Contact Details

Email:
Esha.Nasir@warwick.ac.uk
Phone:

+44 (0) 7435689928

Office:
Centre for Interdisciplinary Methodologies B0.03 University of Warwick Coventry CV4 7AL