| Dr. Marcos Orchard is Professor with the Department of Electrical Engineering at Universidad de Chile and former member of the Intelligent Control Systems Laboratory at The Georgia Institute of Technology. His current research interests are the design and implementation of real-time machine learning algorithms for system identification, fault diagnosis, and failure prognostics. His research work at the Georgia Institute of Technology was the foundation of novel real-time fault diagnosis and failure prognostics approaches based on particle filtering algorithms. He received his Ph.D. and M.S. degrees from The Georgia Institute of Technology, Atlanta, GA, in 2005 and 2007, respectively. He received his B.S. degree (1999) and a Civil Industrial Engineering degree with Electrical Major (2001) from Catholic University of Chile. The quality of the research conducted by Dr. Marcos Orchard has been widely recognized by researchers in several centers of excellence (NASA Ames Research Center, CALCE - University of Maryland, Tarbes National School of Engineering, University of Waterloo), and especially by the Prognostics and Health Management Society (PHMS) with the distinction "PHMS Fellow" for his significant contributions to the state of the art of the discipline for more than 15 years, his impact on innovation, creativity and leadership demonstrated in his professional work. This has been endorsed by a clear positive trend regarding the number of citations associated with his prolific published work (more than 100 articles, 50 of them in mainstream indexed journals, 1618 citations and h-index 22 (Researcher ID), h-index 32 (Google Scholar), as for awards given by independent analysis groups, such as SAGE Publications USA and “Research Interfaces”, which have highlighted the value and quality of the research conducted in Chile. Dr. Orchard is Editor-in-Chief of the International Journal of Prognostic and Health Management (ISSN 2153-2648).