What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Optics
- Mechanical engineering
Andrei M. Shkel mainly investigates Gyroscope, Control theory, Microelectromechanical systems, Optics and Tuning fork.
He works in the field of Gyroscope, namely Vibrating structure gyroscope.
Andrei M. Shkel combines subjects such as Quality, Surface micromachining and Voltage with his study of Control theory.
His Microelectromechanical systems research is multidisciplinary, relying on both Capacitive sensing, Electronic engineering, Resonator and Spherical shell.
In his research, Photolithography is intimately related to Inertial measurement unit, which falls under the overarching field of Electronic engineering.
His work on Azimuth as part of general Optics research is frequently linked to Allan variance, bridging the gap between disciplines.
His most cited work include:
- MEMS Vibratory Gyroscopes: Structural Approaches to Improve Robustness (218 citations)
- Classification of the Dubins set (161 citations)
- Type I and Type II Micromachined Vibratory Gyroscopes (128 citations)
What are the main themes of his work throughout his whole career to date?
Gyroscope, Microelectromechanical systems, Control theory, Electronic engineering and Resonator are his primary areas of study.
Andrei M. Shkel has researched Gyroscope in several fields, including Acoustics, Vibration, Optoelectronics and Optics.
His Microelectromechanical systems research is multidisciplinary, incorporating elements of Silicon, Q factor, Inertial measurement unit and Electrical engineering.
He works mostly in the field of Control theory, limiting it down to topics relating to Amplitude and, in certain cases, Oscillation.
His Electronic engineering study integrates concerns from other disciplines, such as Capacitance, Surface micromachining, Capacitive sensing, Electronics and Signal.
His Resonator research is multidisciplinary, incorporating perspectives in Quality, Shell and Finite element method.
He most often published in these fields:
- Gyroscope (60.75%)
- Microelectromechanical systems (35.49%)
- Control theory (27.65%)
What were the highlights of his more recent work (between 2015-2021)?
- Gyroscope (60.75%)
- Microelectromechanical systems (35.49%)
- Resonator (16.04%)
In recent papers he was focusing on the following fields of study:
Andrei M. Shkel spends much of his time researching Gyroscope, Microelectromechanical systems, Resonator, Inertial navigation system and Optoelectronics.
His Gyroscope study improves the overall literature in Control theory.
His research in Microelectromechanical systems intersects with topics in Laser beams, Trimming, Electronic engineering, Chemical engineering and Robustness.
As a member of one scientific family, Andrei M. Shkel mostly works in the field of Resonator, focusing on Quality and, on occasion, Orders of magnitude and Mode coupling.
The various areas that Andrei M. Shkel examines in his Inertial navigation system study include Inertial measurement unit, Computer vision, Artificial intelligence and Circular error probable.
His Optoelectronics research includes themes of Electromagnetic shielding and Homogeneity.
Between 2015 and 2021, his most popular works were:
- Vacuum sealed and getter activated MEMS Quad Mass Gyroscope demonstrating better than 1.2 million quality factor (14 citations)
- Adaptive Threshold for Zero-Velocity Detector in ZUPT-Aided Pedestrian Inertial Navigation (13 citations)
- An Ultrahigh Vacuum Packaging Process Demonstrating Over 2 Million Q-Factor in MEMS Vibratory Gyroscopes (13 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Mechanical engineering
- Optics
His main research concerns Gyroscope, Optoelectronics, Inertial measurement unit, Inertial navigation system and Microelectromechanical systems.
His Gyroscope research integrates issues from Q factor and Electrical engineering.
His work on Resonator as part of general Optoelectronics study is frequently connected to Fused quartz, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
The concepts of his Inertial measurement unit study are interwoven with issues in Sensor fusion, Computer simulation, Trajectory and Position.
His study in Inertial navigation system is interdisciplinary in nature, drawing from both Artificial intelligence, Control theory and Computer vision.
Microelectromechanical systems and Electronic engineering are frequently intertwined in his study.
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