What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Artificial intelligence
- Electrical engineering
Sang Woo Kim mainly focuses on Control theory, Algorithm, Composite material, Control theory and Electrode.
Sang Woo Kim works in the field of Control theory, namely Nonlinear system.
His studies in Algorithm integrate themes in fields like Control system, Phase, Battery, Linear model and Cathode.
His work on Batio3 ceramics as part of general Composite material research is often related to Grain growth, No formation and Hydrothermal synthesis, thus linking different fields of science.
The concepts of his Control theory study are interwoven with issues in Power and Current.
Sang Woo Kim interconnects Elastomer, Thin film, Nanotechnology and Electrical conductor in the investigation of issues within Electrode.
His most cited work include:
- Memoryless H/sup /spl infin// controllers for state delayed systems (285 citations)
- Fault diagnosis of a power transformer using an improved frequency-response analysis (130 citations)
- Parallel UPS with a instantaneous current sharing control (79 citations)
What are the main themes of his work throughout his whole career to date?
Control theory, Algorithm, Artificial intelligence, Environmental science and Atmospheric sciences are his primary areas of study.
He does research in Control theory, focusing on Nonlinear system specifically.
In his study, Affine projection algorithm is strongly linked to Mathematical optimization, which falls under the umbrella field of Algorithm.
His Artificial intelligence research integrates issues from Slab, Identification, Computer vision and Pattern recognition.
His Atmospheric sciences study combines topics in areas such as Climatology and Asian Dust, Aerosol.
His biological study deals with issues like Rate of convergence, which deal with fields such as Root-mean-square deviation.
He most often published in these fields:
- Control theory (25.34%)
- Algorithm (21.49%)
- Artificial intelligence (12.95%)
What were the highlights of his more recent work (between 2016-2021)?
- Control theory (25.34%)
- Environmental science (11.29%)
- Fault (5.79%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Control theory, Environmental science, Fault, Voltage and Artificial intelligence.
He combines subjects such as Estimation theory and System identification with his study of Control theory.
His work in the fields of Fault, such as Fault indicator, intersects with other areas such as Demagnetizing field.
His studies deal with areas such as Computer vision and Pattern recognition as well as Artificial intelligence.
His biological study spans a wide range of topics, including Air quality index and Aerosol.
His study with Adaptive filter involves better knowledge in Algorithm.
Between 2016 and 2021, his most popular works were:
- Capacity estimation algorithm with a second-order differential voltage curve for Li-ion batteries with NMC cathodes (42 citations)
- Wearable Device-Based System to Monitor a Driver’s Stress, Fatigue, and Drowsiness (36 citations)
- Highly Bendable and Durable Transparent Electromagnetic Interference Shielding Film Prepared by Wet Sintering of Silver Nanowires (34 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Quantum mechanics
- Electrical engineering
His primary areas of investigation include Artificial intelligence, Fault, Computer vision, Voltage and Algorithm.
His Artificial intelligence research is multidisciplinary, relying on both Signal and Pattern recognition.
His research integrates issues of Control engineering, Electronic engineering, Control theory and Electromagnetic coil in his study of Fault.
His Control theory research focuses on Torque in particular.
Sang Woo Kim works mostly in the field of Voltage, limiting it down to topics relating to Battery and, in certain cases, Short circuit and Phase, as a part of the same area of interest.
His study in Algorithm is interdisciplinary in nature, drawing from both Cathode, Voltage reference, Linear model and State of health.
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