What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Electrical engineering
- Operating system
CMOS, Electronic engineering, Integrated circuit, Computer hardware and Circuit design are his primary areas of study.
His work deals with themes such as Image processing, Chip, Cellular neural network, Clock rate and Transistor, which intersect with CMOS.
His Electronic engineering research incorporates elements of Electronic circuit, Electrical engineering, Operational amplifier, Artificial neural network and Switched capacitor.
The various areas that Ángel Rodríguez-Vázquez examines in his Integrated circuit study include Algorithm, System on a chip, Robustness and Equivalent circuit.
His Computer hardware research is multidisciplinary, incorporating perspectives in Analog image processing, Mixed-signal integrated circuit, Embedded system, Machine vision and Smart camera.
His Circuit design study combines topics from a wide range of disciplines, such as Integrated circuit design, Optimization problem, Block diagram and Signal processing.
His most cited work include:
- Nonlinear switched capacitor 'neural' networks for optimization problems (242 citations)
- ACE16k: the third generation of mixed-signal SIMD-CNN ACE chips toward VSoCs (203 citations)
- Top-Down Design of High-Performance Sigma-Delta Modulators (179 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Electronic engineering, CMOS, Electrical engineering, Computer hardware and Electronic circuit.
Ángel Rodríguez-Vázquez interconnects Delta-sigma modulation, Signal, Operational amplifier and Integrated circuit in the investigation of issues within Electronic engineering.
As part of one scientific family, Ángel Rodríguez-Vázquez deals mainly with the area of Integrated circuit, narrowing it down to issues related to the Algorithm, and often Analogue electronics.
As part of the same scientific family, Ángel Rodríguez-Vázquez usually focuses on CMOS, concentrating on Chip and intersecting with Vector processor.
Circuit design, Comparator and Amplifier are among the areas of Electrical engineering where the researcher is concentrating his efforts.
His research investigates the connection with Computer hardware and areas like Pixel which intersect with concerns in High dynamic range.
He most often published in these fields:
- Electronic engineering (48.94%)
- CMOS (38.30%)
- Electrical engineering (17.84%)
What were the highlights of his more recent work (between 2014-2021)?
- Artificial intelligence (10.97%)
- Electronic engineering (48.94%)
- Image sensor (9.17%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Artificial intelligence, Electronic engineering, Image sensor, Computer vision and CMOS.
His work focuses on many connections between Artificial intelligence and other disciplines, such as Cardinal point, that overlap with his field of interest in Time delay and integration.
His work in the fields of Analog front-end overlaps with other areas such as Time-to-digital converter.
The study incorporates disciplines such as Diode, Asynchronous communication, Transient and Voltage in addition to Image sensor.
His CMOS study is associated with Electrical engineering.
His studies deal with areas such as Dynamic range, Frame, Frame rate, Histogram and Tone mapping as well as Pixel.
Between 2014 and 2021, his most popular works were:
- A 151 dB High Dynamic Range CMOS Image Sensor Chip Architecture With Tone Mapping Compression Embedded In-Pixel (28 citations)
- A switched‐capacitor skew‐tent map implementation for random number generation (23 citations)
- Arrayable Voltage-Controlled Ring-Oscillator for Direct Time-of-Flight Image Sensors (16 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Electrical engineering
- Operating system
Ángel Rodríguez-Vázquez focuses on Electronic engineering, Image sensor, CMOS, Artificial intelligence and Computer vision.
His research in Electronic engineering intersects with topics in Process, Converters, Comparator, Voltage and Calibration.
The concepts of his Image sensor study are interwoven with issues in Pixel, Dynamic range, Digital image processing and Feature detection.
His CMOS study is related to the wider topic of Electrical engineering.
His Computer vision research integrates issues from Embedding, Cardinal point, Key and Detector.
His research investigates the link between Cardinal point and topics such as Mixed-signal integrated circuit that cross with problems in Computer hardware.
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