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Personal profile

Research Interests

Maria Tariq has done BS in Computer Science in 2016 from NUCES-FAST, Lahore and MS in Computer Science from NUCES-FAST, Islamabad in 2019. She became part of a biomedical research lab and started research in the field of image pre-processing and deep learning that is based on applied mathematics and data science.

Maria is currently pursuing her P.h.D with the topic of “Automatic Detection of Diabetic Retinopathy in Eye Fundus Images” from the Centre of Computational Sciences and Mathematical Modeling in Coventry University, The United Kingdom.  Her research interests include Deep Learning, Machine Learning, Image Pre-processing, Transfer Learning, Deep Reinforcement Learning .etc. 

PhD Project

Under the supervision of Vasile Palade and YingLiang Ma, my research aims to perform multiclass classification of diabetic retinopathy through medical images using transfer learning models. On top of that, it also deals with imbalanced classification and synthetic image generation.

I have applied different image preprocessing and data augmentation techniques with pre-trained models to do multiclass classification on the publicly available dataset, which has significant challenges of image noise, imbalanced classes, and fault annotations.

To resolve the imbalanced nature of data, I have combined reinforcement learning models and deep learning techniques. Furthermore, I am currently working on generating synthetic fundus images using Generative Adversarial Networks (GANs).

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Computer Science, Degree, Predicting cancer outcome from medical images using deep learning algorithms, National University of Computer and Emerging Sciences

25 Aug 201721 Aug 2019

Computer Science, Degree, Bachelors in Computer Science, National University of Computer and Emerging Sciences

1 Sept 201220 Aug 2016


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