AQLAN LAB

Our Lab conducts cutting-edge research at the intersection of artificial intelligence, human factors, and advanced modeling to design human-centered intelligent systems that advance operational excellence across manufacturing, healthcare, and complex built-environment systems. By integrating machine learning, digital twins, extended reality, simulation, and physiological sensing, we aim to understand and enhance how people learn, work, and interact with complex socio-technical environments. The research develops data-driven approaches for process optimization, cognitive and physiological analytics to assess human performance, and immersive learning systems that transform education and workforce development. Through the combination of rigorous engineering methodologies and emerging technologies, the Lab creates adaptive, resilient, and future-ready socio-technical systems that improve efficiency, support human well-being, and enable intelligent decision-making across domains ranging from smart industrial operations to community-scale infrastructures. Our interdisciplinary approach reflects a commitment to designing innovative systems that are fundamentally centered on human needs while addressing the challenges of modern industrial, healthcare, and urban environments.