What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Electrical engineering
- Optics
Amine Bermak mainly focuses on CMOS, Electronic engineering, Image sensor, Pixel and Electrical engineering.
Amine Bermak has researched CMOS in several fields, including Low-power electronics, Transistor, Voltage, System on a chip and Ultra high frequency.
His studies deal with areas such as Mixture model, Photodiode, Computer hardware and Sensor array as well as Electronic engineering.
His Image sensor research incorporates themes from Frame, Optoelectronics, Extinction ratio and Converters.
His Pixel research integrates issues from Dynamic range, Photodetector, Energy harvesting, Chip and Available energy.
The concepts of his Electrical engineering study are interwoven with issues in Wearable sensing, Wearable computer and Interfacing.
His most cited work include:
- A system-on-chip EPC Gen-2 passive UHF RFID tag with embedded temperature sensor (161 citations)
- Gaussian process for nonstationary time series prediction (158 citations)
- A Sub- $\mu$ W Embedded CMOS Temperature Sensor for RFID Food Monitoring Application (154 citations)
What are the main themes of his work throughout his whole career to date?
Amine Bermak spends much of his time researching Electronic engineering, CMOS, Image sensor, Pixel and Artificial intelligence.
His work focuses on many connections between Electronic engineering and other disciplines, such as Sensor array, that overlap with his field of interest in Electronic nose.
His research in CMOS focuses on subjects like Very-large-scale integration, which are connected to Artificial neural network.
His research in Image sensor tackles topics such as Image compression which are related to areas like Quantization.
The Pixel study combines topics in areas such as Reset, Algorithm, Computer hardware and Photodiode.
His Artificial intelligence study incorporates themes from Computer vision and Pattern recognition.
He most often published in these fields:
- Electronic engineering (36.76%)
- CMOS (28.23%)
- Image sensor (21.23%)
What were the highlights of his more recent work (between 2018-2021)?
- Optoelectronics (13.57%)
- Artificial intelligence (18.38%)
- CMOS (28.23%)
In recent papers he was focusing on the following fields of study:
His main research concerns Optoelectronics, Artificial intelligence, CMOS, Electrical engineering and Pattern recognition.
His biological study spans a wide range of topics, including Transistor, Substrate, Printed electronics and Electrohydrodynamics.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Frame, Polarization and Computer vision.
His CMOS study improves the overall literature in Electronic engineering.
Amine Bermak has included themes like System on a chip and Sensitivity in his Electrical engineering study.
His Pattern recognition study combines topics in areas such as Recurrent neural network and Random forest.
Between 2018 and 2021, his most popular works were:
- Recent Developments in Printing Flexible and Wearable Sensing Electronics for Healthcare Applications (55 citations)
- Deep Exemplar-Based Video Colorization (21 citations)
- Dual transduction on a single sensor for gas identification (10 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Electrical engineering
- Optics
His primary scientific interests are in Optoelectronics, Electrical engineering, Artificial intelligence, Printed electronics and Sensitivity.
His Optoelectronics research is multidisciplinary, incorporating elements of Microelectrode, Emissivity and Carbon nanotube.
His Electrical engineering research includes elements of Wearable sensing, Wearable computer and System on a chip.
The various areas that Amine Bermak examines in his Artificial intelligence study include Sequence, Computer vision and Pattern recognition.
His Readout integrated circuit study results in a more complete grasp of CMOS.
His study in CMOS is interdisciplinary in nature, drawing from both Instrumentation amplifier, Wheatstone bridge and Intelligent sensor.
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