Security of machine learning, machine learning and AI for energy systems, autonomous systems
Jinsub Kim received his Ph.D. in electrical and computer engineering from Cornell University. His graduate study was partially supported by Samsung Scholarship. From fall 2013 to summer 2014, Kim was a postdoctoral associate at the School of ECE at Cornell University. He joined the School of EECS in Oregon State University in August 2014.
His research interest spans statistical signal processing, statistical learning, optimization methods, and their applications (e.g., to network security and smart energy systems). During his Ph.D., he studied anomaly detection problems for network intrusion detection, and, more recently, he studied signal processing perspectives for securing cyber physical systems from adversaries. His recent interests include robust power system state estimation, distributed state estimation, and optimization methods for renewable energy integration.