Majid Liaquat

Majid Liaquat is currently pursuing a PhD in Computer Science at Ulster University, Belfast, with a focus on Synthetic Data Generation. His research primarily involves leveraging Generative Adversarial Networks (GANs) to create high-quality synthetic data, enhancing the accuracy and performance of machine learning models. Majid completed his MSc in Computer Science from Ulster University in 2023, where his research explored improving human activity recognition through synthetic data techniques.

After completing his MSc, Majid worked as a Research Assistant at Ulster University, where he contributed to projects related to synthetic data generation for tabular datasets, focussing on numerical and categorical data. Before embarking on his PhD, Majid also gained significant industry experience as a Web Developer and Designer, working across various roles in software engineering, web development, and project coordination. He earned his BS in Software Engineering from International Islamic University Islamabad, Pakistan.

Majid's technical expertise includes Python, machine learning, data wrangling, web development (HTML5, CSS3, JavaScript, PHP). He is actively collaborating with faculty and researchers to improve synthetic data generation methods.

In addition to his academic and research pursuits, Majid is actively involved in extracurricular activities. He has participated in hackathons, conferences, and tech talks, and is a member of the Computing Society at Ulster University as well as the British Computer Society Northern Ireland branch.