What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Electrical engineering
- Mechanical engineering
His main research concerns Control theory, Artificial neural network, Artificial intelligence, Wireless sensor network and Robot.
His study on Stability, MATLAB and Control theory is often connected to Synchronization as part of broader study in Control theory.
The various areas that Aiguo Song examines in his Artificial neural network study include Linear matrix inequality, Derivative, Interval and Exponential stability.
While the research belongs to areas of Artificial intelligence, Aiguo Song spends his time largely on the problem of Computer vision, intersecting his research to questions surrounding Surface finish.
Aiguo Song has included themes like Node and Testbed in his Wireless sensor network study.
His Robot study integrates concerns from other disciplines, such as Control engineering and Joystick, Simulation.
His most cited work include:
- On the security of 3D Cat map based symmetric image encryption scheme (154 citations)
- A novel self-decoupled four degree-of-freedom wrist force/torque sensor (110 citations)
- Combined Convex Technique on Delay-Dependent Stability for Delayed Neural Networks (88 citations)
What are the main themes of his work throughout his whole career to date?
Artificial intelligence, Robot, Control theory, Computer vision and Simulation are his primary areas of study.
As part of his studies on Artificial intelligence, Aiguo Song often connects relevant areas like Pattern recognition.
Aiguo Song interconnects Control system and Rehabilitation in the investigation of issues within Robot.
His research in Control theory intersects with topics in Artificial neural network and Teleoperation.
In the subject of general Simulation, his work in Haptic technology is often linked to Kinematics, thereby combining diverse domains of study.
His Haptic technology study incorporates themes from Actuator, Virtual reality and Computer graphics.
He most often published in these fields:
- Artificial intelligence (27.39%)
- Robot (25.80%)
- Control theory (19.95%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (27.39%)
- Robot (25.80%)
- Control theory (19.95%)
In recent papers he was focusing on the following fields of study:
Aiguo Song mainly investigates Artificial intelligence, Robot, Control theory, Haptic technology and Computer vision.
As a part of the same scientific study, Aiguo Song usually deals with the Artificial intelligence, concentrating on Pattern recognition and frequently concerns with Feature.
His research integrates issues of Control system, Simulation and Robotic arm in his study of Robot.
Aiguo Song works mostly in the field of Simulation, limiting it down to topics relating to Magnetorheological fluid and, in certain cases, Mechanical engineering.
His Control theory research incorporates elements of Work and Teleoperation.
His research investigates the link between Haptic technology and topics such as Actuator that cross with problems in Torque and Finite element method.
Between 2017 and 2021, his most popular works were:
- Wavelet Transform Time-Frequency Image and Convolutional Network-Based Motor Imagery EEG Classification (30 citations)
- Design of an accurate end-of-arm force display system based on wearable arm gesture sensors and EMG sensors (14 citations)
- Adaptive logical stochastic resonance in time-delayed synthetic genetic networks. (13 citations)
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