Artificial Intelligence (AI) is being increasingly applied to develop high-performance systems specialized for particular problem domains (e.g., image and speech understanding). These "knowledge-based" systems rely on large amounts of problem-specific knowledge and heuristics. This presentation will review current AI knowledge-based applications and discuss SE principles required for their design and implementation. In addition, the possibilities of using AI to support systems engineering will be discussed.
Rick Hefner, PhD, is the Program Director, Caltech Center for Technology and Management Education. He specializes in systems development and maintenance; project management; Lean Six Sigma; process improvement, technology transfer; and risk management. His experience spans over 35 years. Dr. Hefner currently serves as Program Director for the Caltech Center for Technology and Management Education, where he is responsible for developing and delivering professional training in systems engineering and project management.
Previously, Rick served as director of process management at Northrop Grumman Corporation, where he managed corporate process initiatives related to Lean Six Sigma and program management. Dr. Hefner has also worked with companies in the aerospace, defense, communications, electronics, and health sciences industries, including Applied Physics Laboratory, Ares Management, Boeing, DRS Technologies, Halliburton, Herbalife, Honeywell, Jet Propulsion Laboratory, John Deere, L-3, Maytag, Motorola, Pacific Bell, Raytheon, Schlumberger, Southern California Edison, St. Jude Medical, Toshiba, U.S. Navy, and Xerox.
He is credited with over 200 publications and presentations, and certified as a Lean Six Sigma Black Belt. He earned his PhD from the University of California, Los Angeles, in applied dynamic systems control. He received his MS and BS from Purdue University in interdisciplinary engineering.