Maria Tariq

Maria Tariq is a Research Fellow and Doctorate Student at Coventry University, UK, affiliated with the Centre for Computational Sciences and Mathematical Modelling. She holds a BS and MS in Computer Science from NUCES-FAST, Lahore and Islamabad, respectively. Her research focuses on developing AI-driven solutions for medical diagnostics, particularly in diabetic retinopathy detection using deep learning, transfer learning, and reinforcement learning techniques.

Education:

• PhD: Coventry University (2021–present)
• MS: National University of Computer and Emerging Sciences (2017–2019)
• BS: National University of Computer and Emerging Sciences (2012–2016)

Research Interests: Maria specializes in Deep Learning, Image Pre-processing, and Transfer Learning, with applications in biomedical imaging. Her work addresses challenges like imbalanced datasets and synthetic image generation using GANs.

Publications: Her recent work includes optimizing classification models for small medical datasets and improving diabetic retinopathy detection through hybrid learning frameworks. These studies contribute to UN SDG 3 (Good Health and Well-being).

Collaborations: Supervised by Prof. Vasile Palade and Dr. YingLiang Ma, her research integrates interdisciplinary approaches to advance healthcare technology.

Labs/Teams: Active in Coventry University’s biomedical research labs, focusing on computational science and mathematical modeling for healthcare solutions.