Maqbool Hussain

Maqbool Hussain is a Senior Lecturer in Computer Science at the College of Science and Engineering. His research focuses on healthcare informatics, artificial intelligence (AI) applications in medical decision-making, and the development of knowledge-based systems for aerospace and healthcare sectors. He has contributed significantly to areas such as digital twin frameworks for critical care workflows, clinical decision support systems, and semantic interoperability in healthcare.

Research Interests
Hussain’s work spans multiple disciplines, including:

• Healthcare Informatics and AI-driven medical solutions
• Knowledge Graphs and Large Language Models (LLMs) in healthcare and aerospace
• Digital twins for optimizing critical care and aerospace maintenance
• Data-driven clinical decision support systems
• Medical data security and interoperability standards
• Machine learning for text annotation and classification

Recent Research Trends
Recent publications highlight his focus on integrating advanced technologies like LLMs and digital twins into healthcare and aerospace contexts. His work addresses challenges in critical care workflow optimization, kidney disease diagnosis, and aerospace product maintenance through innovative knowledge graph approaches. He also explores the application of transformer-based models for text analysis and the secure exchange of medical data using biometric methods.

Labs and Teams
Hussain is affiliated with the College of Science and Engineering, contributing to interdisciplinary research teams focused on healthcare technology, aerospace systems, and AI applications. His collaborations span academic and industry partners, emphasizing practical solutions for healthcare informatics and aerospace engineering challenges.