What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Computer vision
The scientist’s investigation covers issues in Control engineering, Control theory, Artificial intelligence, HVAC and Visual servoing.
His Control theory study, which is part of a larger body of work in Control engineering, is frequently linked to Thermal energy storage, bridging the gap between disciplines.
Farrokh Janabi-Sharifi interconnects Teleoperation, Transient and Haptic technology in the investigation of issues within Control theory.
His Artificial intelligence research is multidisciplinary, incorporating elements of Kinematics, Computer vision and Pattern recognition.
His work in HVAC covers topics such as Model predictive control which are related to areas like Hvac control and Function.
His Visual servoing research incorporates themes from Exponential stability, Robust control, Robustness and Maxima and minima.
His most cited work include:
- Theory and applications of HVAC control systems – A review of model predictive control (MPC) (523 citations)
- Discrete-time adaptive windowing for velocity estimation (249 citations)
- Artificial neural network (ANN) based model predictive control (MPC) and optimization of HVAC systems: A state of the art review and case study of a residential HVAC system (214 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Artificial intelligence, Computer vision, Control theory, Robot and Visual servoing.
His studies in Artificial intelligence integrate themes in fields like Trajectory and Pattern recognition.
His studies deal with areas such as Robot end effector and Robustness as well as Computer vision.
His research in Control theory intersects with topics in Control engineering and Control.
His study looks at the relationship between Control engineering and fields such as Control system, as well as how they intersect with chemical problems.
His study explores the link between Robot and topics such as Simulation that cross with problems in Catheter and Kinematics.
He most often published in these fields:
- Artificial intelligence (35.16%)
- Computer vision (25.57%)
- Control theory (25.11%)
What were the highlights of his more recent work (between 2017-2021)?
- Robot (19.18%)
- Artificial intelligence (35.16%)
- Control theory (25.11%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Robot, Artificial intelligence, Control theory, Computer vision and Control engineering.
He has included themes like Noise and Pattern recognition in his Artificial intelligence study.
In most of his Control theory studies, his work intersects topics such as Rotor.
When carried out as part of a general Computer vision research project, his work on Visual servoing is frequently linked to work in Surface, therefore connecting diverse disciplines of study.
He has researched Visual servoing in several fields, including Model predictive control and Robustness.
Farrokh Janabi-Sharifi combines subjects such as Agile software development, Development, Black box, Transfer function and Visual comparison with his study of Control engineering.
Between 2017 and 2021, his most popular works were:
- Aerial manipulation—A literature survey (47 citations)
- Unscented Kalman filter state estimation for manipulating unmanned aerial vehicles (21 citations)
- Development and performance comparison of low-order black-box models for a residential HVAC system (12 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Computer vision
Farrokh Janabi-Sharifi mainly investigates Robot, Control theory, Control engineering, Quadcopter and Artificial intelligence.
His work deals with themes such as Kalman filter and System dynamics, which intersect with Robot.
His Control theory research includes elements of Workspace, Frame and Robot kinematics.
His Control engineering research is multidisciplinary, relying on both Building envelope, Selection, Robot manipulator, Grippers and Robot end effector.
His work focuses on many connections between Quadcopter and other disciplines, such as Sensitivity, that overlap with his field of interest in Control theory, Control and Nonlinear control.
Farrokh Janabi-Sharifi focuses mostly in the field of Artificial intelligence, narrowing it down to matters related to Computer vision and, in some cases, Focus.
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