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34
Areas of Expertise
He received his bachelor's in chemistry from Reed College in 1990, and his doctorate in chemistry from Harvard University in 1996. He specializes in multi-disciplinary problem solving in the physical sciences and their corresponding engineering disciplines. Over his 22-year research and development (R&D) career, he has developed expertise in physical chemistry, chemical kinetics, atmospheric chemistry, instrumentation, electronics (digital, analog, power, and RF), spectroscopic sensing, lasers, fiber optics and wave guides, classical optics, electro-optics, electromagnetics, electromechanical systems, heat transfer, materials science, mechanical engineering, manufacturing processes, and renewable energy technologies.
He has won four R&D 100 Awards, holds numerous patents, has 10 active licenses on his inventions, and given many invited talks on the subject of serial innovation. In 2015, he was selected by the U.S. Department of Energy as its Inaugural SunShot Innovator in Residence. He invented the Radical-Ion Flow Battery under the SunShot Innovator in Residence Program to address the need for low-cost, highly scalable electrochemical grid storage, and the performance limitations of prior art battery chemistries in this demanding application. His current research portfolio is focused on electrochemical grid storage, the elimination of rare-earth magnets in wind turbines, and semiconductor thermal management (power electronics, CPUs, GPUs).
10
Areas of Expertise
He is a laboratory fellow and director of the Fuel Cycle Science and Technology Division at Idaho National Laboratory (INL). His primary focus is directing research and development of advanced technologies for spent nuclear fuel recycling and other chemical separation applications. He also serves as the national technical director for the U.S. Department of Energy (DOE) Nuclear Technology Research and Development Material Recovery and Waste Form Development Program and is also the director of the Glenn T. Seaborg Institute at INL. He has 35 years of experience in chemical separation technologies involving spent nuclear fuel and radioactive waste. He holds bachelor’s and master’s degrees in chemical engineering from Montana State University and a doctorate degree in chemical engineering from Khlopin Radium Institute in St. Petersburg, Russia. He has published over 200 journal articles, reports and conference proceedings, and awarded 23 U.S. patents and six Russian patents, as well as received numerous awards, including an R&D 100 Award. He serves on the editorial board for the journal, Solvent Extraction and Ion Exchange. He is a fellow of the American Institute of Chemical Engineers and the American Nuclear Society and the founder of an endowed chemical engineering scholarship at the University of Idaho. He has served on numerous international conference scientific advisory boards and technical program committees.
1
Area of Expertise
He is a staff scientist in the Computational Engineering Division at LLNL. He currently supports project acquisition and execution in the areas of building energy efficiency control optimization, power system simulation, and hybrid artificial intelligence and optimization control served as Principal Investigator. He was research scientist for energy system analysis at LBNL in Berkeley, CA, and the section manager for renewable energy investment, operation manager for power generation at Huaneng Power Group in Beijing, China. Dr. Qin received the B.S. M.S. and PhD degrees in electrical engineering and computer science from the University of Dalian Tech, Dalian, with emphasis on advanced control theory. He served as researcher for building energy automated control and power system operation for more than 20 years. His patent technology – commercial building optimization won the first Energy I-Corps of DOE in 2015. His areas of expertise include building energy modeling-simulation-optimization, power generation & transmission & Distribution optimization, smart grid, deep learning, complex system optimization, and optimization analytics for near-field.
2
Areas of Expertise
Dr. Brad Aimone is a Principal Member of the Technical Staff in the Center for Computing Research at Sandia National Laboratories, where he is a lead researcher in leveraging computational neuroscience to advance machine learning and in using brain-inspired computing platforms for future scientific computing applications. He was the Deputy PI and Neural Algorithms Core Lead on the Hardware Acceleration of Adaptive Neural Algorithms (HAANA) Grand Challenge, which was a major R&D program targeting the development of neural based computing algorithms and computing architectures from 2015-2017. Brad is currently is the PI of several efforts focused on developing neural algorithms for future scientific computing platforms.
Prior to joining the technical staff at Sandia in 2011, Dr. Aimone was a postdoctoral research associate at the Salk Institute for Biological Studies. He received his Ph.D. in computational neuroscience from the University of California, San Diego and earned his Bachelor and Master degrees in chemical engineering from Rice University. Dr. Aimone has published over fifty peer-reviewed journal articles and conference publications, and has a number of patents, book chapters, magazine articles, and invited talks.
7
Areas of Expertise
Charlie is Senior Computer Scientist at Argonne National Laboratory and the founding director of the Urban Center for Computation and Data (UrbanCCD), a joint Argonne-UChicago research center that brings scientists, artists, architects, technologists, and policy makers together to use computation, data analytics, and embedded system to understand the dynamics, design, and resilient operation of cities.
He is also a visiting artist at the School of the Art Institute of Chicago. Before joining Argonne in 2000, Charlie served as Chief Technology Officer of the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign. Beginning at NCSA’s founding in 1985, he participated in the development of NSFNET, one of several early national networks that evolved into what we now experience as the Internet. During the exponential growth of the web following the release of NCSA’s Mosaic web browser, his team developed and supported NCSA’s scalable web server infrastructure. Chicago’s “Tech 50” technology leaders.
2
Areas of Expertise
Dr. Mark C. Petri is the Director of Argonne’s Electric Power Grid Program. He is responsible for coordinating the laboratory’s large and multidisciplinary activities to improve the reliability, resiliency, security, and efficiency of the nation’s electric power grids. He also serves as a Vector Lead in Grid for Argonne’s National Security Programs. Petri recently led a multi-laboratory DOE effort to adapt power grid modeling tools to help Puerto Rico better prepare for future storms. This included training Puerto Rico grid analysts on Argonne’s hurricane hazard assessment software and infrastructure interdependency tools that are used extensively on the mainland to train operators on postulated disasters and to respond to actual events.
Prior to rejoining Argonne, Petri was Director of the Critical Infrastructure Resilience Institute, a Department of Homeland Security Center of Excellence that conducts research and education to enhance the resilience of the nation’s critical infrastructures. He was also Director of the Iowa Energy Center, which supports economic development, environmental sustainability, and social well-being in Iowa through energy innovation, education, and entrepreneurship.
7
Areas of Expertise
Dr. Ralph T. Muehleisen is the Principal Building Scientist, the Building Energy Decision and Technology Research (BEDTR) Group leader, and the Urban Science and Engineering Program lead for Argonne’s Energy Systems division. At Argonne, Dr. Muehleisen leads research to increase the energy efficiency and resiliency of the built environment while improving the quality of life and return on investment for citizens. His projects include urban science and engineering, stochastic building energy modeling, reduced order building energy modeling, risk analysis of building energy retrofits, Bayesian Calibration methods for building energy models, agent based models for understanding adoption of retrofit technologies, smart building/smart grid integration, and the development of new energy efficient and diagnostic technologies buildings. Dr. Muehleisen is the author of over 180publications and presentations, and is a frequent invited speaker in the areas of urban science and engineering, building energy modeling, architectural acoustics and noise control.
1
Area of Expertise
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
4
Areas of Expertise
Vladimir Koritarov is the Manager of the CEESA Power Systems group in Argonne National Laboratory’s Energy Systems division. The group provides analytical services on strategic energy and environmental issues to government agencies, international organizations, and private institutions around the world. He is also a Senior Fellow at the University of Chicago’s Energy Policy Institute at Chicago (EPIC). Koritarov has over 30 years of experience in the analysis and modeling of electric and energy systems in domestic and international applications. Currently, he serves as Argonne’s Program Manager for Water Power Program, which includes hydropower and marine and hydrokinetic technologies.
Most recently, Koritarov has been working on the development of new agent-based modeling approaches for the simulation of energy and electricity markets, and applying advanced simulation methods to study the role and possible evolution of non-conventional energy resources, such as renewable generation and energy storage.
1
Area of Expertise
Nhan Tran is a Wilson Fellow at Fermilab working on the Compact Muon Solenoid experiment at the Large Hadron Collider and is also developing new dark sector experimental initiatives. He is generally interested in deploying machine learning as a powerful tool across fundamental physics. His recent research focus is on the intersection of machine learning with real-time systems and embedded electronics as well as heterogeneous computing to improve experimental efficiency and sensitivity. He received his PhD from Johns Hopkins University in 2011 and was a postdoctoral researcher at Fermilab prior to joining in his current position.
Areas of expertise: ML Algorithms for Data Reconstruction and Pattern Recognition; Real-Time Low-Latency ML in Resource-Constrained Environments; Heterogeneous Computing
5
Areas of Expertise
He is well known for his expertise in the field of lithium batteries at Argonne National Laboratory. Since graduating with a doctorate in metallurgical engineering from the University of Illinois at Urbana-Champaign, he has been with the lab with his early research on safe storage of nuclear waste arising from efforts to recycle spent nuclear fuel (nuclear technology). Since joining the Energy Storage team in 2001, he led the effort to identify performance degradation mechanisms in lithium-ion cells and develop new chemistries that enhance cell performance, life, and safety. His interests range from the discovery and development of electrode and electrolyte materials for sustainable and environmentally friendly batteries to recycling existing lithium-ion cells to recover non-renewable components. He has authored more than 120 articles in peer-reviewed journals spanning various frontier areas of lithium battery research, including crystal structure transformations in layered oxides, silicon electrode development, solid electrolyte interphase (SEI) formation/dissolution mechanisms, evolution of stress in electrodes during cycling, influence of electrode/particle coatings on cell performance, electrolyte additives development, and electrochemical modeling. He has delivered more than 250 technical presentations in popular, academic, and industrial settings, including more than 90 invited, keynote, and plenary lectures. More importantly, he is a research advisor and mentor to various undergraduate and graduate students and postdoctoral associates. He was awarded the 2015 Pinnacle of Education Award by the University of Chicago for “exceptional work in the supervision of postdoctoral employees and in developing the next generation of scientists and engineers.”
7
Areas of Expertise
Matthew Marinella is a Principal Member of the Technical Staff with Sandia National Labs. He is Principal Investigator for Sandia’s Nonvolatile Memory Program and leads research projects on neuromorphic, radiation hard, and energy efficient computing. Dr. Marinella chairs the Emerging Memory Devices Section for the IRDS Roadmap Beyond CMOS Chapter, serves on various technical program committees, and is a Senior Member of the IEEE. He received a PhD in electrical engineering from Arizona State University under Dieter K. Schroder in 2008.
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