Dr. Marcos E. Orchard is a professor in the Department of Electrical Engineering at the Universidad de Chile. He is also the Director of the Center for Sustainable Acceleration of Electromobility (CASE), an associate researcher at the Center of Energy (Universidad de Chile), and an associate researcher at the Advanced Center for Electrical and Electronic Engineering (Universidad Técnica Federico Santa María). His current research interests focus on the design, implementation, and testing of real-time frameworks for fault diagnosis and failure prognosis, with applications in battery management systems, electromobility, the mining industry, finance, and crime risk prediction. Dr. Orchard is an expert in statistical process monitoring, parametric/non-parametric modeling, and system identification. At the Georgia Institute of Technology, Dr. Orchard conducted research that laid the foundation for novel real-time fault diagnosis and failure prognosis approaches based on particle filtering algorithms. He earned his Ph.D. and M.S. degrees from The Georgia Institute of Technology in 2005 and 2007, respectively. He also received a B.S. degree in 1999 and a Civil Industrial Engineering degree with an Electrical Major in 2001 from the Catholic University of Chile. Dr. Orchard is internationally recognized for his expertise in fault diagnosis and prognosis, Bayesian filtering in dynamic nonlinear systems, stochastic processes, and sequential Monte Carlo methods.