Multidisciplinary education and research using computational intelligence

Abstract

The paper presents computational intelligence (CI) as a tool for multidisciplinary education and research. The importance of CI is emphasized in understanding complex systems and designing proactive adaptive systems in uncertain, unknown, and dynamic environments. Main paradigms of CI are presented. Several novel applications of hybrid CI techniques proposed earlier by the author in engineering, manufacturing, biomedical and health care systems are discussed. The experiences of offering CI as a graduate course and a summer research project involving high school students are also presented. The importance of introducing CI techniques and their multidisciplinary applications as a senior level interdisciplinary engineering elective course and integrating these in research experiences for undergraduates and STEM education is discussed.