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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...

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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.

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. 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. 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...

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...

Sheng Guan is currently pursuing a Ph.D. degree from Case Western Reserve University under the supervision of Dr. Yinghui Wu. Sheng got his master’s and bachelor’s degree from Florida International University (major in computer science, 2017), The Hong Kong University of Science &Technology (major...

Dr. Yinghui Wu is an Assistant Professor in the Department of Computer and Data Sciences, Case School of Engineering at Case Western Reserve University, US, and a joint staff scientist at Pacific Northwest National Lab, US. He received his Ph.D. in Computer Science from the University of Edinburgh...

GridSTAGE (Spatio-Temporal Adversarial scenario GEneration) is a framework for the simulation of adversarial scenarios and the generation of multivariate spatio-temporal data in cyber-physical systems. GridSTAGE is developed based on Matlab and leverages Power System Toolbox (PST) where the...

Soil fungi facilitate the translocation of inorganic nutrients from soil minerals to other microorganisms and plants. This ability is particularly advantageous in impoverished soils, because fungal mycelial networks can bridge otherwise spatially disconnected and inaccessible nutrient hotspots...

The Community Land Model (CLM) is an effective tool to simulate the biophysical and biogeochemical processes and their interactions with the atmosphere. Although CLM Version 5 (CLM5) constitutes various updates in these processes, its performance in simulating energy, water and carbon cycles over...
Respiratory infections stemming from influenza viruses and the Severe Acute Respiratory Syndrome corona virus (SARS-CoV) represent a serious public health threat as emerging pandemics. Despite efforts to identify the critical interactions of these viruses with host machinery, the key regulatory...
The Systems Biology for Infectious Diseases Research program was established by the U.S. National Institute of Allergy and Infectious Diseases to investigate host-pathogen interactions at a systems level. This program generated 47 transcriptomic and proteomic datasets from 30 studies that...

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...

CMIP6 historical anthropogenic emissions data (Hoesly et al. 2018) from 1950 - 2014 processed to remove seasonality. Emission fluxes are identical for all months within each calendar year. Annual global totals are identical to the CMIP6 data release within machine precision (except for SHP sector...