The world around us is continually being shaped by intelligent and autonomous systems that are typically developed as independent systems but operate in a system of systems environment. Ali K. Raz research focus is on understanding the collaborative nature of autonomy and developing systems engineering methodologies for integrating autonomous systems. Raz's research brings a systems engineering perspective, particularly inspired by complex adaptive systems, to information fusion and artificial intelligence/machine learning technologies that form the foundations of collaborative and integrated autonomous systems. Raz's teaching interests are in information fusion, model-based systems engineering, and developing course work for introducing artificial intelligence and machine learning to systems engineers.
Prior to joining George Mason University, Raz was a visiting assistant professor at Purdue University School of Aeronautics and Astronautics where he led research projects on understanding complexity in systems of systems and introducing autonomy in high-speed and hypersonic aerospace systems. Raz holds a temporary faculty appointment with the U.S. Navy Naval Surface Warfare Center at Crane, Indiana in support of complex systems and information fusion research activities and has worked with John Hopkins University Applied Physics Laboratory (JHU-APL) and the United States Missile Defense Agency. Raz has also worked as a systems engineer for Honeywell Aerospace on flight management and flight control systems for civilian and military aircraft.
Raz is a co-chair of the International Council of Systems Engineering (INCOSE) Complex Systems Working Group and a Certified Systems Engineering Professional (CSEP). He is also a senior member of the American Institute for Aeronautics and Astronautics (AIAA) and Institute of Electrical and Electronics Engineers (IEEE).