Grant is the program manager for cybersecurity research in the Division of Chemical and Biological Sciences (DCBS) at Ames Laboratory. His focus has been on developing software for integrations with cyber defensive tools for the automated cyber threat information sharing program, the Cyber Fed Model (CFM), at Argonne National Laboratory. Additionally, he has provided expertise in research projects developing correlation of publicly exposed devices with vulnerabilities and machine learning for intrusion detection of grid systems. Prior to joining Ames Laboratory, he was in the Aerospace industry in various product development and management roles with formerly United Technologies Aerospace Systems. This included supporting development of cybersecurity policy and secure development life cycles for safety critical systems as well as secure design and assessment of real-time systems bridging security domains on various aircraft network busses. He received an M.S. in technology management from the University of St. Thomas and B.S. in computer engineering from Iowa State University.
He is the lead for Cyber Operations, Analysis, and Research in Argonne National Laboratory’s Global Security Sciences Division. He is considered a key asset by the U.S. Department of Homeland Security (DHS) for the development of a cybersecurity vulnerability assessment for field use, analysis of cyber-security consequence and threat studies, and leading the pilot cyber-physical regional assessment. Prior to joining Argonne, he managed cyber-security and cyber defense activities at several private-sector companies and involved in the development of a patented operational instance of moving target defense (MTD). He worked in a variety of other cybersecurity research areas, including transportation, satellite communications, social engineering, and offensive cybersecurity. He taught computer networking and cyber-security issues to students in Senegal, Africa through the African Institute for Mathematical Sciences (AIMS) Next Einstein Initiative, a collaboration with the University of Chicago, Argonne, and other institutions.
Daniel is a research scientist in the Grid Integration Group at LBNL focusing on the application of control, optimization, and machine learning techniques for electric grid management and cyber security. Daniel received his Ph.D. from the Mechanical Engineering Dept. at the University of California, Berkeley and was a 2015 ITRI-Rosenfeld Postdoctoral Fellow at LBNL. Prior to his work at LBNL, Daniel conducted research and development of unmanned underwater vehicles for the United States Navy at the Space and Naval Warfare Center in San Diego.
Dr. Sean Peisert is jointly appointed as a staff scientist at LBNL, chief cybersecurity strategist at CENIC, and director of the CENIC/ESnet joint cybersecurity initiative. His research interests cover a broad cross-section of computer and network security. Recent projects include intrusion detection for control systems in smart/power grids, techniques for insider threat identification and mitigation, and security in high-performance computing and networking environments.
Sean is also an associate adjunct professor and faculty member in the Graduate Groups in Computer Science, Forensic Science, and Health Informatics at the University of California, Davis. Prior to roles at LBNL and CENIC, Sean was an I3P Research Fellow and computer security researcher at the San Diego Supercomputer Center (SDSC).
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