Anwar Hossain

Anwar Hossain is an Associate Professor at the School of Computing, part of the Faculty of Arts and Science at Queen's University. His research focuses on IoT, smart cities, healthcare technology, and machine learning applications. He has contributed to advancements in digital twins, edge computing, and railway defect detection using AI-driven methodologies. His work integrates ethical considerations with technical innovation, particularly in healthcare systems and infrastructure maintenance.

Research interests span interdisciplinary areas such as multimodal AI for behavioral therapy, generative models for defect analysis, and privacy-preserving data aggregation in smart environments. His publications highlight trends in predictive healthcare systems, IoT-enabled infrastructure monitoring, and cognitive frameworks for urban systems.

Notable contributions include frameworks for intelligent edge processing in smart cities and digital twin applications for mental well-being. His articles emphasize practical solutions for challenges in public health, railway safety, and urban sustainability. While no awards are explicitly listed, his extensive publication record reflects academic and industry relevance.

Dr. Hossain collaborates on projects involving healthcare CPS (Cyber-Physical Systems), IoT security, and adaptive algorithm recommendation. His work bridges theoretical research with real-world implementations, contributing to both academic discourse and technological innovation in his field.