# positions[].organizations[].parent[].label
Texas A&M Engineering Experiment Station (TEES)

# keywords[]
Power System Neural Network Construction

# keywords[]
Power System Equipment Cyber-physical Risk Assessment

# keywords[]
9 Industry, Innovation And Infrastructure

# keywords[]
4606 Distributed Computing And Systems Software

# keywords[]
4007 Control Engineering, Mechatronics And Robotics

# keywords[]
Senior Capstone Transmission Expansion Planning Project

# keywords[]
Texas 2000 Synthetic Electric Power Grid

# keywords[]
Electricity Reliability Council Of Texas

# keywords[]
Secure Power Electronics Driven Hvac Thermal Inertia

# keywords[]
Smart Power Electronics Driven Hvac Thermal Inertia

# keywords[]
Internet Data Driven Hvac Microcontrollers

# keywords[]
9 Industry, Innovation And Infrastructure

# keywords[]
Ac Unobservable False Data Injection Attacks

# keywords[]
Cyber-physical Situational Awareness Model Cypsa

# educationAndTraining[].organization.label
University of Illinois at Urbana Champaign - (Urbana, Illinois, United States)

# educationAndTraining[].field
Electrical Engineering, Power and Energy Systems

# educationAndTraining[].organization.label
University of Illinois at Urbana Champaign - (Urbana, Illinois, United States)

# educationAndTraining[].field
Electrical Engineering, Power and Energy Systems

# educationAndTraining[].organization.label
The University of Texas at Austin - (Austin, Texas, United States)

# publications[].label
Extending the Ecological Network Analysis Framework to Cyber-Physical Power Networks

# publications[].label
Cyber-air-gapped detection of controller attacks through physical interdependencies

# publications[].label
Estimation of Transmission Line Parameters from Historical Data

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Augmented DC power flow method with real-time measurements

# publications[].label
Improving power system neural network construction using modal analysis

# publications[].label
Toward a Sensor Trustworthiness Measure for Grid-Connected IoT-Enabled Smart Cities

# publications[].label
Power System Equipment Cyber-Physical Risk Assessment Based on Architecture and Critical Clearing Time

# publications[].label
A Cyber-Physical Modeling and Assessment Framework for Power Grid Infrastructures

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].tags
9 Industry, Innovation and Infrastructure

# publications[].label
Mitigation of Distributed Controller Failure

# publications[].label
Analytic corrective control selection for online remedial action scheme design in a cyber adversarial environment

# publications[].publisher
Institution of Engineering and Technology (IET)

# publications[].label
Large-Scale Synthetic Grids in Classroom Planning Studies

# publications[].label
Power flow cyber attacks and perturbation-based defense

# publications[].label
SCORE: A Security-Oriented Cyber-Physical Optimal Response Engine

# publications[].label
A Cyber Topology Model for the Texas 2000 Synthetic Electric Power Grid

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Extracting Substation Cyber-physical Architecture Through Intelligent Electronic Devices' Data

# publications[].label
Distributed controller role and interaction discovery

# publications[].label
Generator control action classification based on localized voltage measurements

# publications[].label
A Framework of Smart and Secure Power Electronics Driven HVAC Thermal Inertia in Distributed Power Systems

# publications[].label
A Preliminary Investigation into Ecological Network Analysis for Cyber-Physical Power Systems

# publications[].label
The Potential for a GIC-inclusive State Estimator

# publications[].label
Educational Applications of Large Synthetic Power Grids

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Energy Theft Detection Via Artificial Neural Networks

# publications[].label
Bio-Inspired Design for Robust Power Networks

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Deep Neural Network Based Non-Intrusive Load Status Recognition

# publications[].label
Configuration of WAMS and Pilot Bus Selection for Secondary Voltage Control in the Egyptian Grid

# publications[].label
MATGMD: A Tool for Enabling GMD Studies in MATLAB

# publications[].label
SOCCA: A Security-Oriented Cyber-Physical Contingency Analysis in Power Infrastructures

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].tags
9 Industry, Innovation and Infrastructure

# publications[].label
Cyber-Physical Models for Power Grid Security Analysis: 8-Substation Case

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
PAVED: Perturbation Analysis for Verification of Energy Data

# researcherOn[].label
Deep Learning-based Detection of Stealth False Data Injection Attacks in Large-Scale Synthetic Power Grids

# researcherOn[].awardedBy.label
National Science Foundation - (Arlington, Virginia, United States)

# researcherOn[].label
Deep Cyber-Physical Situational Awareness for Energy Systems: A Secure Foundation for Next-Generation Energy Management

# researcherOn[].awardedBy.label
United States Department of Energy - (Washington D.C., District of Columbia, United States)

# researcherOn[].label
EPCN: Enhancing the Modeling, Simulation and Visualization of Large-Scale Electric Grids Utilizing Detailed Synthetic Power Grids and Data Sets

# researcherOn[].awardedBy.label
National Science Foundation - (Arlington, Virginia, United States)

# streetAddress
Texas A&M University; Electrical Engineering; 3128 TAMU

# organizations[]
Texas A&M Engineering Experiment Station (TEES)

# schools[]
Texas A&M Engineering Experiment Station (TEES)

# etdChairOf[].label
Kundu, Arnav (2019-06). DEEP LEARNING TECHNIQUES FOR DETECTION OF FALSE DATA INJECTION ATTACKS ON ELECTRIC POWER GRID. Master's Thesis.

# etdChairOf[].label
Kundu, Arnav (2019-08). DEEP LEARNING TECHNIQUES FOR DETECTION OF FALSE DATA INJECTION ATTACKS ON ELECTRIC POWER GRID. Master's Thesis.