Project

DarkNet Cyber Resilience investigates the impacts of cyber stress and its thresholds of impact on alternative timing signals for the US national energy grid.

Our new Cyber-Physical Security Assurance Framework based on Semi-Supervised Vetting applies the latest AI/ML and NLP technologies on hardware testbeds to advance the resilience of critical cyber-physical assets including electric grids and gas pipelines.

Deep CYBERIA is a novel system focused on Detecting Sensors Deeply Embedded in Cyber-Physical Systems via novel machine learning and passive/active/hybrid probing techniques on complex operational technology (OT) networks.

Exascale Computing for the Stochastic Grid Dynamics of the US national energy transmission network is a part of the Exascale Computing Project to tap the world’s largest supercomputer to solve the nation’s energy grid problems.

Reversible Software Execution Systems ReveR-SES is a paradigm shift in ultra-scale computing to address the outstanding scaling challenges by enabling an entirely new, orthogonal dimension to all aspects of traditional, forward-only computing.

North American Energy Resilience Model provides the next generation planning infrastructure for the US national energy grid using a cloud-based real-time, interoperable, and federated modeling, simulation, and visualization technology.

Global Pervasive Computational Epidemiology

Our formulation of a new AI/ML-based, real-time computational framework aims to learn and flag defects in software as early as the time of commit in the developers’ repositories.

Discrete Event Modeling of the Electric Grid is a new non-equilibrium, transient analysis model and solver that is indispensable for new advancements in grids with high renewable penetration.

Our novel Digital Twin Framework (DTF) is designed to improve resilience of critical infrastructure systems by continuously comparing the infrastructure state with automatically generated, AI/ML-based, real-time digital-twin simulation of the system.

Cloned simulations of epidemiological outbreaks like COVID-19 can now rapidly evaluate millions of what-if scenarios at national and world scales, and efficiently exploit 1000s of GPUs.

Intelligent Design is a novel paradigm for automated, generalized, and optimized physical structural design of 3D geometry meeting a desired function.

Cloned eXecution of simulations is a powerful decision-making system to incrementally evaluate millions of what-if scenarios and scale to 1000s of GPUs.

Kensor uncovers coordinated intelligence about normal and abnormal phenomena from multiple sensors co-located in close proximity in secure installations.

Our Block Tridiagonal Solver is one of the fastest parallel solvers for scientific codes, written in FORTRAN and MPI using the block cyclic algorithm, and tested with plasma equilibrium simulations for fusion energy tokamaks and astrophysics applications.

NetWarp is a novel time-synchronized virtual machine(VM)-based parallel simulation framework that accurately lifts the devices and the network communications to a virtual time plane while retaining full fidelity.

Rocks3D-HPC is an efficient parallelization of the Rocks3D high-fidelity earth moving equipment simulation based on the Discrete Element Method implemented using FORTRAN, OpenMP multi-threading, and message passing interface (MPI) for high performance computing.

EGIVAC, System for Electric Grid Interactive Visualization, Animation, and Control, is one of the ground-breaking, feature-rich, large-scale visualizations of the US national energy grid.

Real-time Simulations is a simulation framework for fast evaluation of national emergency scenarios such as hurricanes, evaluated with large data streams and real-time computation on the latest hardware platforms on the edge.