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 a computer scientist in the Global Security Sciences Division at Argonne National Laboratory working on a variety of Modeling and Simulation (M&S) projects. He is an integral part of the Analysis of Mobility Platforms (AMP) logistics modeling project for U.S. Transportation Command. He has also been the lead investigator on a program for the Naval Research Laboratory doing Electronic Warfare (EW) M&S, which includes both EW system modeling as well as detailed Radio Frequency (RF) propagation modeling in complex environments. Among his research interests is the development of remotely distributed deep-learning image recognition systems for Unmanned Aerial Systems (UAS) detection. He participated in numerous government and military test and evaluation events for UAS mitigation systems and did analysis on UAS threats to critical infrastructure and methods for protection. He graduated from Carnegie Mellon University with a degree in computer science and robotics and is currently pursuing a master's in analytics at the University of Chicago with an emphasis on advanced computational models, including computer vision and machine learning algorithms.
He is a principal mechanical engineer and manager of Fuels, Engine, and Aftertreatment Research at Argonne National Laboratory’s Center for Transportation Research. In this role, he and his team plan, analyze, and execute powertrain and combustion research projects in light-duty, heavy-duty, and non-road applications, including marine and UAV, and employing a range of fuels, including gasoline, diesel, hydrogen and natural gas, and alcohols. Much of the work involves close collaboration with major manufacturers in these market segments.
He is currently a senior chemist and group leader at Argonne National Laboratory specializing in the testing and post-test analysis of cells and complete battery systems with over 34 years of experience. He is known worldwide for his work in battery testing and life modeling. He has a bachelor’s in chemistry from Brown University and a doctorate in inorganic chemistry from University of Chicago. He is active in the battery materials and testing fields and has more than 120 publications and eight patents. He received an IR-100 Award in 1987 for a micro-membrane sensor to measure sodium-ion concentrations at elevated temperature. He participated in the creation of international recommended practices (one step before a standard) in battery testing. His work in battery life estimation led to the creation of software, which became the recognized standard for life estimation for battery development projects funded by U.S. Advanced Battery Consortium and the U.S. Department of Energy. In 2011, he established the post-test facility for the elucidation of the physical and chemical changes that cause battery performance decline.
She is an optical engineer and a principal member of technical staff in the Advanced Remote Sensing Department at Sandia National Laboratories. She obtained her doctorate in optical science at the University of Arizona in 2011. Her research focuses on developing optical remote sensing techniques, technologies, and exploitation algorithms, primarily for the nuclear nonproliferation mission space. She is a Comprehensive Nuclear-Test Ban Treaty (CTBT) On-Site Inspection Surrogate Inspector Trainee in the third training cycle.
His expertise includes the application of small Unmanned Aircraft Systems (sUAS) to homeland and national security needs. Argonne National Laboratory’s expertise in this area includes worldwide databases of commercial sUAS technologies and sUAS regulatory frameworks, risk assessment methodologies applied to sUAS threat environments, and the use of sUAS for critical infrastructure monitoring/damage assessment and emergency response. He received his master’s degree from the Johns Hopkins University and his doctorate from Cornell University.
He is a chemical engineer at Argonne National Laboratory with specializations in process analysis and modeling, and experimental validation of breadboard reactor systems. His interests include the design and technoeconomic analysis of lithium-ion batteries and production process of these batteries and their supply chain. He is responsible for the continuing development of BatPaC, a spreadsheet tool used for the design of lithium ion batteries and to estimate their cost. He is active in the analysis of vehicle batteries and production processes. He has conducted extensive analytical and experimental studies on the development of portable and distributed hydrogen production processes. These studies include the development of catalysts, reactor designs for the conversion of liquid and gaseous fuels to hydrogen, breadboard demonstrations, hydrogen concentrators, along with modeling studies of fuel cell systems, hydrogen production processes, and materials used in the production of lithium-ion batteries.
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