Dr. Muhammad Saqlain

Visiting Fellow

School of Computer Science

FUNDED RESEARCH

Dr. Saqlain's research is centered around the development and application of advanced mathematical theories like Fuzzy Set Theory and Hypersoft Set Theory, particularly their integration with Artificial Intelligence (AI) and Machine Learning (ML). His work aims to design intelligent decision-support systems that utilize these theories to rank, predict, and evaluate outcomes in fields such as health sciences, environmental management, economics, and engineering. Additionally, he has pioneered the study of hybrid set structures in Hypersoft Set Theory, proposing innovative approaches for capturing decision-making complexities. His work also involves bibliometric analysis to map scientific trends and foster interdisciplinary collaborations in AI-driven decision systems.