What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Computer network
- The Internet
Her primary areas of investigation include Digital watermarking, Computer vision, Artificial intelligence, Watermark and Smart grid.
Her Digital watermarking study integrates concerns from other disciplines, such as Algorithm, Data compression, Cryptography and Data mining.
Her Computer vision research is multidisciplinary, relying on both Deconvolution, Blind deconvolution, Distortion and Robustness.
In general Artificial intelligence, her work in Image is often linked to Field linking many areas of study.
She has included themes like Image resolution, Theoretical computer science, Image processing, Transform coding and Wavelet in her Watermark study.
Her study in Smart grid is interdisciplinary in nature, drawing from both Cyber-physical system, Distributed computing, Electric power system and Network security.
Her most cited work include:
- Blind image deconvolution (1136 citations)
- Digital watermarking for telltale tamper proofing and authentication (483 citations)
- Digital watermarking using multiresolution wavelet decomposition (457 citations)
What are the main themes of her work throughout her whole career to date?
Her primary scientific interests are in Smart grid, Electric power system, Computer security, Distributed computing and Digital watermarking.
Her Smart grid course of study focuses on Feedback linearization and Electronic stability control.
Her Electric power system research is multidisciplinary, incorporating perspectives in Control engineering, Distributed generation, Control theory and Telecommunications network.
Her Distributed computing research is multidisciplinary, incorporating elements of Computer network, Microgrid and Flocking.
Her Digital watermarking research also covers Artificial intelligence and Computer vision studies.
Her work carried out in the field of Artificial intelligence brings together such families of science as Distortion and Pattern recognition.
She most often published in these fields:
- Smart grid (30.84%)
- Electric power system (23.35%)
- Computer security (18.06%)
What were the highlights of her more recent work (between 2015-2021)?
- Electric power system (23.35%)
- Smart grid (30.84%)
- Control theory (14.10%)
In recent papers she was focusing on the following fields of study:
Deepa Kundur mainly investigates Electric power system, Smart grid, Control theory, Distributed computing and Distributed generation.
Deepa Kundur combines subjects such as Control system, Latency, Computer security, Control engineering and Denial-of-service attack with her study of Electric power system.
Her Smart grid research integrates issues from Telecommunications network, Feedback linearization, Microgrid and Resilience.
Her work in the fields of Control theory, such as Control theory, Actuator and Nonlinear system, intersects with other areas such as Perturbation.
Her studies deal with areas such as Smart power, Static routing and Power control as well as Distributed computing.
Her studies examine the connections between Protective relay and genetics, as well as such issues in Reliability engineering, with regards to Artificial intelligence.
Between 2015 and 2021, her most popular works were:
- A Cyber-Physical Control Framework for Transient Stability in Smart Grids (65 citations)
- A Game-Theoretic Analysis of Cyber Switching Attacks and Mitigation in Smart Grid Systems (60 citations)
- A Cyber-Enabled Stabilizing Control Scheme for Resilient Smart Grid Systems (44 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer network
- The Internet
Her main research concerns Electric power system, Smart grid, Control theory, Feedback linearization and Control engineering.
Her study looks at the relationship between Electric power system and fields such as Energy storage, as well as how they intersect with chemical problems.
Her Smart grid research includes elements of Computer security, Denial-of-service attack and Cyber-physical system.
Her work on Control theory as part of her general Control theory study is frequently connected to Perturbation and Data detection, thereby bridging the divide between different branches of science.
She works mostly in the field of Feedback linearization, limiting it down to concerns involving Distributed generation and, occasionally, Decentralised system.
The Control engineering study combines topics in areas such as Permanent magnet synchronous generator, Flywheel, Phasor measurement unit, Transient and Robustness.
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