Principal Technical Staff, Building Energy Systems
Residential Energy Modeling and Disaggregation
Statistical Data Modeling and Analysis
Physics-Based Monte Carlo Simulations
Reliability and Uncertainty Characterization
Dr. Michael Zeifman is a Principal Member of Technical Staff for Fraunhofer CSE’s Building Energy Systems Group and specializes in interdisciplinary topics, such as application of advanced statistical and machine learning methods to energy monitoring and modeling, experimental design, demand response and uncertainty characterization. Prior to joining Fraunhofer CSE in 2010, Michael worked in the general field of modeling and simulation for more than fifteen years. He has served as a principal investigator on numerous R&D projects funded either by government or industry, as an Executive/Technical Program Committee member on several IEEE conferences, and as an NSF Panel Reviewer (Information and Intelligent Systems Division). Michael authored about 70 peer-reviewed scientific and technical papers.
Michael received his undergraduate degree in Engineering Physics from Peter the Great St. Petersburg Polytechnic University, Russia, and his graduate degrees in Quality Control and Reliability from Technion in Haifa, Israel. Michael is a Senior Member of both IEEE and AIAA.