What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Mechanical engineering
- Artificial intelligence
Roderick A. Hyde mainly focuses on Biomedical engineering, Electronic engineering, Simulation, World Wide Web and Computer hardware.
His research combines Ablation and Biomedical engineering.
His work deals with themes such as Power, Thermal conduction and Signal, Electrical engineering, which intersect with Electronic engineering.
Roderick A. Hyde combines topics linked to Beam with his work on Power.
His research integrates issues of Real-time computing and Operator in his study of Simulation.
His World Wide Web study frequently links to other fields, such as Fingerprint.
His most cited work include:
- Steerable surgical stapler (848 citations)
- Vasculature and lymphatic system imaging and ablation associated with a reservoir (576 citations)
- Variable metamaterial apparatus (208 citations)
What are the main themes of his work throughout his whole career to date?
Roderick A. Hyde spends much of his time researching Artificial intelligence, Electrical engineering, Computer vision, Biomedical engineering and Computer hardware.
His study in Artificial intelligence focuses on Feature in particular.
The various areas that Roderick A. Hyde examines in his Electrical engineering study include Power and Electronic engineering.
He most often published in these fields:
- Artificial intelligence (8.55%)
- Electrical engineering (8.01%)
- Computer vision (7.78%)
What were the highlights of his more recent work (between 2014-2020)?
- Artificial intelligence (8.55%)
- Computer vision (7.78%)
- Controller (4.01%)
In recent papers he was focusing on the following fields of study:
His main research concerns Artificial intelligence, Computer vision, Controller, Signal and Computer hardware.
Roderick A. Hyde studies Computer vision, namely Image sensor.
His study ties his expertise on Automotive engineering together with the subject of Controller.
Many of his studies on Computer hardware involve topics that are commonly interrelated, such as Substrate.
Between 2014 and 2020, his most popular works were:
- Vehicle collision management responsive to traction conditions in an avoidance path (47 citations)
- Customized hardware selection for a mobile phone (40 citations)
- Occupant based vehicle control (34 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Mechanical engineering
- Artificial intelligence
His primary scientific interests are in Artificial intelligence, Computer vision, Simulation, Computer hardware and Controller.
His biological study spans a wide range of topics, including Machine learning and Interpretation.
His work carried out in the field of Computer vision brings together such families of science as Perspective and Wearable computer.
His study explores the link between Simulation and topics such as Component that cross with problems in Radar, Computer data storage and State.
His Computer hardware research is multidisciplinary, incorporating elements of Control engineering, Substrate, Embedded system and Electronics.
His study looks at the relationship between Transmission and topics such as Antenna, which overlap with Optics.
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