Position: President of InESA, Inc., USA

Education: Ph.D., Electrical Engineering:

ndustrial Systems Automation, Moscow Mining Institute

Experience: Dr. Raykhman is a systems scientist specializing in management of R & D projects. For thirty years, Dr. Raykhman has been applying his expertise in adaptive control and artificial intelligence to the development of complex measuring and diagnostic systems and their components. His research covers non-linear dynamic systems analysis, industrial heavy-duty equipment mathematical simulation, theory of automatic troubleshooting and failure forecasting, and algorithms for noise suppression in measuring and control systems.

Dr. Raykhman is proficient in heavy-duty machine design and automation and has practical knowledge of mechanical, electrical, hydraulic applications, measuring systems, and statistics.

Dr. Alexander M. Raykhman is a member of the American Statistical Association. He is an author of many articles and holds over 15 patents in various topics of dynamic systems analysis, measurement algorithms, technical diagnostics and failure forecasting.