Philip Smith is recognized as a leader in cognitive systems engineering research on air traffic flow management, airline operations control, collaborative decision making (CDM) and the design of distributed work systems in the National Airspace System, as well as in the design of systems for the integrated management of airport surface and airspace constraints. He has extensive expertise in human factors engineering and human-computer interaction, applied to both the design and evaluation of distributed work systems. His research has included work on FAA CDM Program initiatives involving departure flow management, airspace flow programs, coded departure routes, airport surface management and dynamic departure routing, as well as related work on NASA'e(tm)s FACET and Surface Management System and the design of super-dense operations airspace as part of efforts directed at NextGen. Dr. Smith also has extensive experience with the use of cognitive walkthroughs and the design of research prototypes such as the Collaborative Airport Surface Management System (CATS). In addition, Dr. Smith has managed projects focusing on the quantitative analysis of performance in the NAS, including the development of data mining tools and specialized analysis tools such as POET (Post Operations Evaluation Tool) and DETUR (Departure Evaluation Tool for Understanding Reroutes). Robert R.
Hoffman is recognized as one of the world leaders in the fields of Cognitive Systems Engineering and Human-Centered Computing. He is a Fellow of the Association for Psychological Science and a Fulbright Scholar. He has been PI, Co-PI, Senior Scientist, or Principal Consultant on grants and contracts totaling more than $13M. His Ph.D. is in experimental psychology from the University of Cincinnati, where he received McMicken Scholar, Psi Chi, and Delta Tau Kappa Honors. Following a Postdoctoral Associateship at the Center for Research on Human Learning at the University of Minnesota, Hoffman joined the faculty of the Institute for Advanced Psychological Studies at Adelphi University. He began his career as a psycholinguist, and founded the journal, Metaphor and Symbol.
His subsequent research leveraged the psycholinguistics background in the study of methods for eliciting the knowledge of domain experts. Hoffman has been recognized internationally in disciplines including psychology, remote sensing, weather forecasting, and artificial intelligence, for his research on human factors in remote sensing, the psychology of expertise, the methodology of cognitive task analysis, and HCC issues intelligent systems technology and the design of macrocognitive work systems. Hoffman is a Co-Editor for the Department on Human-Centered Computing in IEEE: Intelligent Systems. He is Editor for the book Series, "Expertise: Research and Applications." He co-founded two journals: Metaphor & Symbol and The Journal of Cognitive Engineering and Decision Making. His major current projects involve evaluating the effectiveness of knowledge management, and performance measurement for macrocognitive work systems.