The general research focus of Aqlan lab is Applied Organizational Transformation (AOT) with an emphasis on People, Process, Technology, and Data (PPTD). To achieve successful transformation, organizations need to find a balance between the AOT elements. The rapid advancements in technology require organizations to continuously improve their processes and empower their employees. To study AOT, we conduct research in four relevant themes: (1) Simulation – we use simulation (both physical and digital) to integrate people and process. (2) Automation – we use automation to integrate process and technology. (3) Human-Technology Teaming – we study interaction and collaboration between human and technology. (4) Artificial Intelligence – we integrate artificial intelligence and mixed reality to develop sensor-based models for manufacturing and healthcare applications.
Dr. Faisal Aqlan is an Associate Professor of Industrial & Systems Engineering and Director of the Engineering Management programs at the University of Louisville. He also serves as Co-director of the University of Louisville's EDA Center for Organizational Readiness towards Enterprise 4.0 (CORE4.0) and Co-director of the Center for Human Systems Engineering (CHSE). Dr. Aqlan earned his Ph.D. in Industrial & Systems Engineering from Binghamton University in 2013. Prior to joining the University of Louisville, he held positions at Penn State University, the University of New Haven, IBM Corporation, and Innovation Associates Company. He is an active member of several professional organizations, including the Institute of Industrial and Systems Engineers (IISE), the American Society for Engineering Education (ASEE), the American Society for Engineering Management (ASEM), and the Human Factors and Ergonomics Society (HFES). Dr. Aqlan’s research interests include human systems engineering, simulation and automation, process improvement, sensor-based modeling, extended reality, and engineering education. His research has been supported by the National Science Foundation (NSF), the Economic Development Administration (EDA), the Engineering Information Foundation (EiF), and industry, with total funding exceeding $4.5 million.