·Common Operating Picture
[Common Operating Picture ($40k, 2023)]
Funded by LCRA through TEES Smart Grid Center toward developing a common operating picture and enhanced cyber-physical risk assessment.
·Physics-Aware and AI-Enabled Cyber-Physical Intrusion Response for the Power Grid
[Physics-Aware and AI-Enabled Cyber-Physical Intrusion Response for the Power Grid ($2.7 M, 2022-2025)]
Funded by DOE CESER. Leading efforts to design a scalable cyber-physical response engine for power systems, with academic and industry partners including Georgia Tech, Oregon State University, TEEX, TDi, EPE, PSC, and Network Perception.
[griDNA: Multilevel Cyber-Physical Sensor Data-Fusion for Situational Awareness into a Decentralized Electric Grid ($50k, 2022-2024)]
Funded by Sandia National Labs. Supporting data fusion based intrusion detection research.
[InterGraph-CPS: A Graph-Theoretic Approach to Characterize Cross-Domain Cyber-Physical Interdependencies and Uncertainties in Electric Grid Systems for Improved Decision-Making in Operation and Response ($225k, 2022-2025)]
Funded by Sandia National Labs. Supporting interdependency modeling research.
[Collaborative Research: SHIELD: Strategic Holistic Framework for Intrusion Prevention Using Multi-modal Data in Power Systems ($375k, 2022-2025)]
Funded by NSF Energy Power Control Networks (EPCN). Supporting research on prevention of damage spread from cyber-physical threats in power systems.
[SRS RN: Sustainable Transportation Electrification for an Equitable and Resilient Society (STEERS) planning grant ($150k, 2022-2023)]
Funded by NSF. Planning grant with Dr. Overbye on sustainable electrification of transportation in Texas.
·Enhanced Electromagnetic Disturbance Modeling
[Enhanced Electromagnetic Disturbance Modeling ($750k, 2022-2024)]
Funded by PNNL through DOE. GMD modeling, prediction, and response with Dr. Overbye.
·Travel Grant for North American Power Symposium (NAPS) 2021 Attendees
[Travel Grant for North American Power Symposium (NAPS) 2021 Attendees ($150k, 2021-2022)]
Funded by NSF. Provided student travel support to NAPS 2021 hosted at Texas A&M.
[Harmonized Automatic Relay Mitigation of Nefarious Intentional Events (HARMONIE) Special Protection Scheme ($150k, 2 years, Awarded Oct.2202, 2020-2022)]
Funded by Sandia National Labs. Supporting secure remedial action scheme design.
·Investigation of Automated Corrective Actions for Special Protection Schemes
[Investigation of Automated Corrective Actions for Special Protection Schemes ($39,487, 2020)]
Funded by Sandia National Labs. Supporting secure remedial action scheme design.
·Application of Texas A&M Electric Grid Control Center Testbed
[Application of Texas A&M Electric Grid Control Center Testbed ($80k, 2020-2023)]
Funded by TEES Smart Grid Center on developing industry-focused control center testbed applications, with a focus on electric grid resilience and emergency control center design.
[PSERC: Generating Value from Detailed, Realistic Synthetic Electric Grids ($220k, 2 years, awarded July. 2020, 2020-2022)]
Funded by Power Systems Engineering Research Center (PSERC). Work closely with industry members to generate value from large-scale, detailed and realistic synthetic electric grids by 1) developing customized grids, 2) developing specific grid scenarios, 3) exploring decision making with uncertainty, and 4) expanding scope to allow coupling with other infrastructures.
[EPCN: Enhancing the Modeling, Simulation, and Visualization of Large-Scale Electric Grids Utilizing Detailed Synthetic Power Grids and Data Sets ($548k, 3 years, awrded Jun 2019, 2019-2022)]
Funded by NSF Electrical, Communications and Cyber Systems (ECCS). Developing and applying high quality, synthetic electric grid models and datasets that represent the complexities of actual electric grids, but contain no information about real grids and hence can be made publicly available.
·Validation for Models of Cyber Attacks on the Power Grid
[Validation for Models of Cyber Attacks on the Power Grid ($134,711, 3 years,awarded Jun. 2019, 2019-2021)]
Funded by Sandia National Labs. Supporting grid cyber-physical experimentation and validation.
· Triads for Transformation
[Triads for Transformation (T3): Analytics for Renewable Energy Management in Microgrids ($36,793, 2 years, awarded Jan 2019, 2019-2021)]
Funded by the Texas A&M T3 program. Worked with Dr. N. Gautum and Dr. A. Bhattacharya to investigate forecasting models to predict energy supply, power demand, and prices in advance using probabilistic forecasts for data-driven predictions.
[Deep Cyber-Physical Situational Awareness for Energy Systems: A Secure Foundation for Next-Generation Energy Management, US DOE, (K. Davis (PI, TAMU); Co-PIs: T. Overbye (TAMU), D. Ragsdale (TAMU), A. Goulart (TAMU), S. Zonouz (Rutgers University), S. Hossain-McKenzie (Sandia National Labs), E. Vugrin (Sandia National Labs), J. O’Brien (Pacific Northwest National Labs), M. Rice (Pacific Northwest National Labs), E. Rogers (UIUC)) ($2.7 M, 3 years, awarded Oct. 2018, 2018-2023)]
Funded by DOE CEDS. Leading efforts to design a secure cyber-physical next generation management system that can detect malicious and abnormal events through fusion of cyber and physical data and algorithms, effective integrated analytics, and visualization, together with Rutgers, Sandia National Labs, Pacific Northwest National Labs, the University of Illinois, and industry partners.
[Deep Learning-based Detection of Stealth False Data Injection Attacks in Large-Scale Power Grids, NSF, K. Davis (PI, TAMU), E. Serpedin (TAMU, Co-PI), T. Overbye (TAMU, Co-PI)) ($360k, 3 years, awarded Sept. 2018, 2018-2022)]
Funded by NSF Electrical, Communications and Cyber Systems (ECCS). Working to improve resilience with respect to data manipulation attacks by quantifying data integrity and characterizing impact of false data on power systems. DEFENDA will develop attack detection strategies for real-world power grids via deep neural network (DNN) architectures.
· Online Resilience Support System for Cyber-Physical Situational Awareness
[Online Resilience Support System for Cyber-Physical Situational Awareness, Grainger Foundation Frontiers of Engineering Grant, (K. Davis (PI, TAMU), M. Holzinger (Co-PI, U. Colorado)) ($30k, 3 years, awarded, July 2018, 2018-2020)]
Funded by a Grainger Foundation Frontiers of Engineering Grant and the National Academy of Engineering. Worked with Dr. Holzinger (Aero. Eng., U. Colorado) on cyber-physical resilience through enhanced situational awareness, where the focus is on the decision-making process in real-time cyber-physical systems though steps of observe-orient-decide-act.
· Bio-Inspired Design of Complex Energy Systems
[Bio-Inspired Design of Complex Energy Systems to Achieve Robust, Efficient, and Sustainable Networks, Texas A&M Energy Institute, (A Layton (PI, TAMU), K. Davis (Co-PI, TAMU)) ($50k, 1 year, awarded June 2018, 2018-2019)]
Funded by Texas A&M’s Energy Institute. Worked with Dr. Layton (Mech. Eng., TAMU) to investigate the potential of ecosystems to provide new robust design principles for power grids.
·Proposal for the Development of Synthetic SCOPF Models and Scenarios for the ARPA-E Power Grid Optimization Competition
[Proposal for the Development of Synthetic SCOPF Models and Scenarios for the ARPA-E Power Grid Optimization Competition ($165k, 2017-2018)]
Funded by DOE. Worked with Dr. Overbye and students on test case and model development.
· Distributed Just-Ahead-Of-Time Verification of Cyber-Physical Critical Infrastructure
[CPS: Synergy: Collaborative Research: Distributed Just-Ahead-Of-Time Verification of Cyber-Physical Critical Infrastructure, NSF, (S. Zonouz (PI, Rutgers), K. Davis (Co-PI, TAMU)) ($391,014, 2015-2018)]
Funded by NSF Cyber-Physical Systems (CPS). Worked with Rutgers on verification and resilient response of distributed controllers in electric power systems.
· GIC Hazard Prediction: From the Solar Wind to Power System Impacts
[GIC Hazard Prediction: From the Solar Wind to Power System Impacts, NSF, (T. Overbye (PI, TAMU), Katherine Davis (co-PI, TAMU), J. Makela (co-PI, UIUC), Jana Sebestik (co-PI, UIUC)) ($2,670,000, 2015-2019)]
Funded by NSF Hazards SEES. Collaborated with team to develop accurate predictive modeling of geomagnetic hazards to improve preparedness and mitigation strategies.