Lab Partnering Service Discovery

Dr. Meng Yue is the principle investigator of multiple projects funded by different offices in DOE. He led and is leading development of a number of grid analytical methods and tools for probabilistic contingency analysis, probabilistic sizing and siting of ESS, dynamic stability assessment, data driven damage forecasting using high resolution weather and outage data, impact assessment, detection, and mitigation of cyberattacks on essential data for load forecasting.  In addition, he developed a Matlab-based software EPTOOL incorporating solar generation and battery energy storage system (BESS) dynamic models for analyzing impact of cloud-transient on solar output and the grid and probabilistic sizing of BESS. He has authored more than 80 journal and conference publications and technical reports primarily in power grid areas, as well as other topics such as nuclear energy system PRA, quantitative proliferation risk analysis, and robotics and control.

Dr. Agarwal's research focuses on scientific tools that enable sharing of scientific experiments, advanced networking infrastructure to support sharing of scientific data, data analysis support infrastructure for eco-science, and cybersecurity infrastructure to secure collaborative environments. Dr. Agarwal is the coordinator for ML4Sci, the Lab-wide machine learning initiative. Dr. Agarwal is a Senior Fellow at the Berkeley Institute for Data Science and an Inria International Chair. Dr. Agarwal also leads teams developing data server infrastructure to significantly enhance data browsing and analysis capabilities and enable eco-science synthesis at the watershed-scale to understand hydrologic and conservation questions and at the global-scale to understand carbon flux. Some of the projects Dr. Agarwal is working on include: Enviromental Systems Science Digital Infrastructure for a Virtual Ecosystem (ESS-DIVE), Watershed Function SFA, AmeriFlux Management Project, FLUXNET, NGEE Tropics, and International Soil Carbon Network. Dr. Agarwal received her Ph.D. in electrical and computer engineering from University of California, Santa Barbara and a B.S. in Mechanical Engineering from Purdue University.

Nugent is the Department Head for Computational Science and the Division Deputy for Scientific Engagement in the Computational Research Division. Nugent attended Bowdoin College and received his M.S. and Ph.D. in physics with a concentration in astronomy from the University of Oklahoma. He joined LBNL in 1996 as a postdoctoral fellow working with Saul Perlmutter on the measurement of the accelerating universe with Type Ia Supernova, for which Dr. Perlmutter received the Nobel Prize in Physics in 2011. In 2008, he co-founded the Computational Cosmology Center and became their first Group Leader. He was promoted to Senior Staff Scientist at LBNL in 2010 and the same year joined the faculty in the Astronomy Department at UC Berkeley.

Nugent is an author on over 300 refereed publications and has received numerous awards in his career including LBNL's Director’s Award for Exceptional Scientific Achievement and NERSC's Award for Innovative Use of High-Performance Computing in 2013, SuperComputing's 2009 Storage Challenge Award, the 2007 Gruber Prize in Cosmology and the 2015 Breakthrough Prize in Physics. Nugent has presented his work as a participant on PBS News Hour, NASA's Space Science Update program, CNN, NOVA, NPR, and the BBC. His work has been featured in Time Magazine, Newsweek, Science, and Nature.