Dr. Kun Marhadi is currently an R&D engineer in the Remote Monitoring Group at Brüel & Kjær Vibro. He joined Brüel & Kjær Vibro in 2012. Prior to that, he was a postdoctoral researcher in the Department of Mathematics at the Technical University of Denmark (DTU). He received his PhD in computational science from San Diego State University and Claremont Graduate University. He has M.S. and B.S. in aerospace engineering from Texas A&M University. Dr. Marhadi's research is currently focused on wind turbine condition monitoring in connection with machine learning and predictive maintenance.