A brief sketch of Dr. Perumalla’s professional career path
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.
Dr. Perumalla’s professional biography
CS PI Meeting Annual Computer Science Principal Investigators’ (PI) Meeting held in Atlanta, GA, USA
Dr. Perumalla is an Associate Editor for the international journal Frontiers in Big Data - Networks.
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.
A list of Dr. Perumalla’s research interests
Dr. Perumalla served as a General Co-Chair of the ACM SIGSIM PADS'22 Conference.
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.
List of Dr. Perumalla’s institutional affiliations
Dr. Perumalla is the elected Chair of ACM Special Interest Group on Simulation and Modeling (ACM SIGSIM), the worldwide professional body dedicated to all advanced areas in simulation and modeling.
Dr. Perumalla is an Associate Editor with the Association for Computing Machinery (ACM) Transactions on Modeling and Computer Simulation (TOMACS), which provides a single archival source for the publication of high-quality research and developmental results in all phases of the modeling and simulation life cycle.
Dr. Perumalla is an Associate Editor with the Journal of Simulation (JOS), which aims to publish both articles and technical notes from researchers and practitioners active in the field of simulation.
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.
ISBN 978-1439873403, 1st Edition |
Chapman and Hall/CRC |
Taylor&Francis |
Amazon
One of the first books on the topic, it contains a compendium of both classical and recently developed results on reversible computing.
Dr. Perumalla is an Associate Editor with the SIMULATION: Transactions of The Society for Modeling and Simulation International, a refereed journal devoted to advancing the discipline and profession of modeling and simulation.
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.
Parallel/Distributed implementation (1000s of GPUs), Graph algorithms, Graph Generation on multiple GPUs, Community detection-based solutions
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.
Artificial Intelligence and Machine Learning
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.
ISBN 978-1439873403 |
Morgan & Claypool |
Amazon
This book covers all concepts in modeling and simulating wired and wireless computer networks using parallel computing to reach Internet-scale simulations.
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.
HELICS is the first open-source software platform that co-simulates the nation’s power grid across transmission, distribution, and data communication systems.
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.
Duham Unversity Institute of Advanced Study Fellowship gathers together the world’s finest scholars and non-academics (such as intellectuals, artists, writers, journalists, policy makers, and politicians) from the full spectrum of science, social science, arts and humanities disciplines to address themes of global significance.
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.
a selected list of areas and Principal Investigators (PIs) or Co-PIs of R&D projects I managed as part of my diverse program management portfolio (2023-2025)
Mutual Entropy for Image Registration
Salutations to my kind preceptors from whom I learned the ABC’s of research, tenacity, hardwork, and integrity
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.
Pedigree that makes me proud in the lineage of knowledge generation and dissemination
Students I co-advise(d) as committee member in their doctoral or master’s program
Persevering and creative minds whom I train in deep thought to reach the peak of their formal education
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.
Faculty members I had the pleasure of serving as the host for their sabbaticals and performing joint research with them
Highly motivated, disciplined and hardworking graduate students with whom I had the pleasure of learning advanced technologies together
Advanced Scientific Computing Research in the Office of Science, U.S. Department of Energy
Fellows of the highly selective National GEM Consortium I had the privilege of hosting and mentoring through advanced research internships in my projects
Brilliant undergraduate students who worked with me as interns in multiple projects over the years, some even winning us best paper awards
Powerful talent blossoms early, like these budding technologists I had the pleasure of mentoring before they went onto college and launching startups
My associations in programming contests – team members I coached at Georgia Tech, and my own coach when I was a team member at UCF