Modjtaba Dahmardeh is a seasoned engineer specializing in battery algorithms and control with recent positions as a Senior Battery Algorithms and Control Engineer at Ford Motor Company and AMP. Prior experience includes a role as a Battery Algorithms Engineer at Rivian, where significant work focused on cell-to-cell variability and the development of SOC and SOH estimation algorithms. Educational qualifications include a Ph.D. in Industrial and Systems Engineering from Rutgers University, complemented by a Master's in Socio-economic Systems Engineering from Sharif University of Technology and a Bachelor’s in Railway Operations and Management Engineering from Iran University of Science and Technology. Modjtaba's research also encompasses motor parameter calibration and advanced state estimation techniques in battery systems.
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