Michael Zeifman is a Principal Research Scientist at the Fraunhofer USA Center for Manufacturing Innovation. Michael is an R&D specialist with more than 20 years of experience in modeling, simulation, machine learning, and data analytics as applied to a broad range of subjects.  He has been a PI/co-PI on numerous R&D projects funded by government and/or industry, including recent DOE awards to develop enabling technologies for remote characterization of home retrofit opportunities using communicating thermostat data and for prediction of residential electrical loads and their flexibility using disaggregated electric data.  He has served as an Executive/Technical Program Committee member on several IEEE conferences, as an NSF Panel Reviewer and as a reviewer for numerous archival journals. He authored about 80 scientific and technical papers.

Michael received his undergraduate degree in Engineering Physics from Peter the Great St. Petersburg Polytechnic University, Russia, and his M.Sc. and Ph.D. degrees in Industrial Engineering from Technicon, Israel. Michael is a Senior Member of both IEEE and AIAA.

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