Section A: Fault diagnosis development 1. Model-based fault detection and isolation for dynamical systems 2. Fault-tolerant control for dynamical systems 3. Data-driven techniques in fault diagnosis 4. Soft computing methods for fault detection and isolation
Section B: Failure prognosis analysis 5. Model-Based failure prognosis techniques 6. Data-driven based reliability modeling and identification for failure prognosis 7. Intelligent decisions techniques for failure prognosis 8. Design optimization using reliability and maintenance Techniques
Section C: Case studies 9. Fault diagnosis and failure prognosis in mechanical systems 10. Fault diagnosis and failure prognosis in electrical systems 11. Fault diagnosis and failure prognosis in hydraulic systems 12. Fault diagnosis and failure prognosis in biomedical systems
Dr. Karimi received the B.Sc. (First Hons.) degree in power systems from the Sharif University of Technology, Tehran, Iran, in 1998, and the M.Sc. and Ph.D. (First Hons.) degrees in control systems engineering from the University of Tehran, Tehran, in 2001 and 2005, respectively. His research interests are in the areas of control systems/theory, mechatronics, networked control systems, intelligent control systems, signal processing, vibration control, ground vehicles, structural control, wind turbine control and cutting processes. He is an Editorial Board Member for some international journals and several Technical Committee. Prof. Karimi has been presented a number of national and international awards, including Alexander-von-Humboldt Research Fellowship Award (in Germany), JSPS Research Award (in Japan), DAAD Research Award (in Germany), August-Wilhelm-Scheer Award (in Germany) and been invited as visiting professor at a number of universities in Germany, France, Italy, Poland, Spain, China, Korea, Japan, India.