Saman Mostafavi is a research scientist in the System Sciences Lab, working on problems that involve fitting experimental data to explicitly quantify parameters of interest for a variety of physical systems. The application areas can range from faults in energy systems to parameter estimation for white-box models. Before joining PARC, Saman’s research projects involved applying signal processing, machine learning, and control methods for fault detection and model calibration purposes, with a focus on optimizing energy performance in commercial buildings. Dr. Mostafavi earned his Ph.D. and Master’s degree in Electrical Engineering from University of North Carolina at Charlotte. During this time, he developed a robust unsupervised approach to Non-Intrusive Load Monitoring (NILM) for disaggregating major loads in commercial buildings. In the latter stages of his Ph.D., he studied the feasibility of developing a digital twin using Building Management System (BMS) data for control purposes in medium-size commercial buildings. These works were published in peer-reviewed conferences and journals. Saman holds a B.Sc. in Electrical Engineering from Amirkabir University of Technology (Tehran Polytechnic). In his free time, he enjoys photography and long drives to national parks.