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Charles Macal applies computational modeling and simulation tools to complex systems to solve problems in a variety of fields, including energy and national security.
He is the chief scientist for the Argonne Resilient Infrastructure Initiative, and is a principal investigator for the development of the widely used Repast agent-based modeling toolkit.
He has Appointments at the University of Chicago Computation Institute and the Northwestern-Argonne Institute for Science and Engineering. He is adjunct professor at the University of Chicago, where he teaches a course on Complex Adaptive Systems for Threat Management and Emergency Preparedness.
He is a registered professional engineer in the State of Illinois and holds software copyrights for two systems: ELIST (Enhanced Logistics Intra-theater Support Tool) and EMCAS (Electricity Market Complex Adaptive System).
- B.S. Purdue University, 1974
- M.S., Purdue University, 1975
- Ph.D., Northwestern University, 1989
Awards, Honors and Memberships
- Association for Computing Machinery, Transactions on Modeling and Computer Simulation, Area Editor for Agent-based Modeling
- Society for Computer Simulation International, Simulation Journal, Associate Editor
Ben Brown is a statistical scientist in the Environmental Genomics and Systems Biology division within Berkeley Lab’s Biosciences Area. He specializes in the development of novel machine algorithms, usually for the biological and environmental sciences at Berkeley Lab. His group develops “third-wave” learning algorithms that combine the interpretability and reliability of classical statistics with the predictive performance of deep learning. They specialize in designing learning paradigms for complex, high-dimensional systems that enable accurate uncertainty quantification, model discovery, feature selection, and inference. Dr. Brown's expertise include statistics, machine learning, deep learning, and artificial intelligence.
COVID-19-related research: "Using Machine Learning to Estimate COVID-19's Seasonal Cycle". Other principal investigators include: Eoin Brodie, Nicola Falco, Dan Feldman, Zhao Hao, Chaincy Kuo, Joshua Ladau, and Haruko Wainwright.
My current research focuses on engineering spin systems in diamond, silicon carbide, and other wide bandgap semiconductors for quantum information, nanoscale sensing, and quantum communication applications. These spin systems, such as the nitrogen vacancy (NV) center in diamond and the divacancy complexes (VV) in silicon carbide (SiC), offer a wide variation of control techniques as well as sensitivity to local magnetic and electric fields and temperature.
He received his bachelor’s degree in physics and his master’s and doctorate degrees in electrical engineering from the University of Washington. His main areas of research are distribution system analysis and power system operations. He is currently a principal research engineer at the Pacific Northwest National Laboratory for PNNL’s resilient distribution and microgrid analysis team (part of the Lab’s Electricity Infrastructure team)r. He is an adjunct faculty member at Washington State University, an affiliate assistant professor at the University of Washington, and a licensed professional engineer in Washington. He is the past chair of the Distribution System Analysis Sub-Committee and the current secretary of the Analytics Methods for Power Systems Committee (AMPS); formerly known as the Power System Analysis, Computing, and Economics (PSACE) Committee.
Jayakar “Charles” Tobin Thangaraj is currently the Science and Technology Manager and the Deputy Director at the Illinois Accelerator Research Center (IARC). He works at the frontiers of accelerator science where bold ideas enable discoveries that transform our fundamental understanding of the universe. He is passionate about partnership between science, technology and startups to enable entrepreneurship and innovation to solve 21st century challenges in environment, medicine and society. He received both his M.S. and PhD from the University of Maryland. Charles joined Fermilab as a People’s Fellow in 2009.
Areas of expertise: Artificial Intelligence for Accelerators; Machine Learning for Accelerators