Khushbu Agarwal is a Senior Research Scientist in the Data Sciences and Machine Intelligence group at the Pacific Northwest National Laboratory. Her primary research interests are at the intersection of graph analytics, deep learning, and their applications to solving real-world application needs...
Dr. Sutanay Choudhury (PI) is a Chief Scientist at PNNL with 10+ years of experience in large-scale graph analytics and machine-learning. His research focuses on learning high-fidelity representations of structure from complex data sources and development of methods for reasoning and prediction on...
Dr. Seemita Pal is the Team Leader for the Architecture Team in the Distributed Systems Group at Pacific Northwest National Laboratory (PNNL). Her research interests include grid cybersecurity, grid architecture, cybersecurity-focused verification and validation, power systems, and synchrophasor...
Dr. Soumya Kundu is a Staff Research Engineer in the Optimization and Control Group at the Pacific Northwest National Laboratory. Soumya is primarily interested in solving complex engineering problems by applying tools from systems theory, control and optimization. His current research focus is...
Dr. Sai Pushpak Nandanoori is a staff research engineer at PNNL. His research interests lie in developing novel system theoretic methods and data-driven methods involving Koopman operator theory to solve challenging problems in the areas of power systems, microgrids, and cyber-physical systems.
Many important application data streams can be modeled as a complex graph of entities, where each graph node or entity is associated with a multi-variate time-series. The overall system’s behavior is modeled as a dynamical system, and it evolves through structural changes in the graph, and/or...
Andrea is a Post Masters Research Associate at PNNL. She is recently working on the CEDS project, tracking and analyzing historical anthropogenic emissions. Before joining JGCRI, she received her master's in Renewable and Clean Energy and bachelor's in Mechanical Engineering from the University of...
Data Science & Biostatistics
Viral communities detected from three large grassland soil metagenomes with historically different precipitation moisture regimes.
Code pertaining to the Soil Microbiome SFA Project publication data visualizations 'DNA viral diversity, abundance and functional potential vary across grassland soils with a range of historical moisture regimes' for processing publication data downloads.
Viral communities detected from three large grassland soil metagenomes with historically different precipitation moisture regimes.
Viral communities detected from three large grassland soil metagenomes with historically different precipitation moisture regimes.
Emissions of anthropogenic aerosol and precursor compounds substantially alter the Earth’s radiative balance, change the oxidation capacity of the atmosphere, alter cloud processes and precipitation amounts, and result in significant impacts on human health and ecosystems. One of the primary tools...
Hamza is a Post Masters Research Associate at JGCRI within the Earth and Biological Sciences Directorate of PNNL. He has recently been working on the CEDS project to help develop a database of historical pollutant emissions for research and analysis. Prior to joining PNNL, Hamza completed graduate...
Dr. Gao obtained her Ph.D degree in Chemistry from institute of chemistry, Chinese Academy of Science. His Ph.D research focused on multiscale modeling of morphology and properties of polymeric materials, polymer processing and unveiling the process–properties relationships. (atomic to coarse...
