She is a Staff Scientist and the Deputy of Research Programs for the Building Technology and Urban Systems Division at the Lawrence Berkeley National Laboratory. Her research focuses on commercial building energy performance monitoring, analytics, diagnostics, and intelligent lighting controls. She holds a PhD in Mechanical Engineering from UC Berkeley, and an AB in Mechanical Engineering from Harvard University. She is the recipient of the 2015 Clean Energy Education and Empowerment (C3E) Award for Leadership in Research.
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).
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.
He has more than 10 years of industrial and research experience in automation, instrumentation, and control. He holds a doctorate in nuclear engineering from Texas A&M University, a master’s degree in information technology and automation systems from Esslingen University of Applied Science in Germany, and a bachelor’s degree in mechanical engineering from Jordan University of Science and Technology in Jordan. In 2015, he joined Idaho National Laboratory as a research and development scientist with special focus on nuclear automation, instrumentation, and control. Before earning his doctorate, he worked at Asea Brown Boveri for 6 years and was a lead distributed control systems engineer by 2010. While pursuing his degree, he researched various nuclear engineering topics at Texas A&M University and worked for a year at the International Atomic Energy Agency (IAEA). He also worked for Daimler Chrysler-Mercedes Group and Fraunhofer Institute for Production and Automation in Germany. He is a senior Institute of Electrical and Electronics Engineers (IEEE) member and author of several publications and technical reports. He is also a reviewer of nuclear energy and IEEE journals and U.S. Department of Energy grants.
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