H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 33 Citations 3,470 228 World Ranking 6642 National Ranking 12

Research.com Recognitions

Awards & Achievements

2013 - IEEE Fellow For his contribution to sensing and processing of vision and olfactory circuits and systems.

Overview

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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Gaussian process for nonstationary time series prediction

Sofiane Brahim-Belhouari;Amine Bermak.
Computational Statistics & Data Analysis (2004)

275 Citations

A system-on-chip EPC Gen-2 passive UHF RFID tag with embedded temperature sensor

Jun Yin;Jun Yi;Man Kay Law;Yunxiao Ling.
international solid-state circuits conference (2010)

244 Citations

A Sub- $\mu$ W Embedded CMOS Temperature Sensor for RFID Food Monitoring Application

Man Kay Law;Amine Bermak;Howard C Luong.
IEEE Journal of Solid-state Circuits (2010)

207 Citations

A digital pixel sensor array with programmable dynamic range

A. Kitchen;A. Bermak;A. Bouzerdoum.
IEEE Transactions on Electron Devices (2005)

127 Citations

Liquid-crystal micropolarimeter array for full Stokes polarization imaging in visible spectrum

Xiaojin Zhao;Amine Bermak;Farid Boussaid;Vladimir G. Chigrinov.
Optics Express (2010)

112 Citations

Self-gating effect induced large performance improvement of ZnO nanocomb gas sensors.

Xiaofang Pan;Xi Liu;Amine Bermak;Zhiyong Fan.
ACS Nano (2013)

95 Citations

A 405-nW CMOS Temperature Sensor Based on Linear MOS Operation

M.K. Law;A. Bermak.
IEEE Transactions on Circuits and Systems Ii-express Briefs (2009)

92 Citations

Arbitrated Time-to-First Spike CMOS Image Sensor With On-Chip Histogram Equalization

C. Shoushun;A. Bermak.
IEEE Transactions on Very Large Scale Integration Systems (2007)

90 Citations

Thin Photo-Patterned Micropolarizer Array for CMOS Image Sensors

Xiaojin Zhao;F. Boussaid;A. Bermak;V.G. Chigrinov.
IEEE Photonics Technology Letters (2009)

87 Citations

Pattern Recognition Techniques for Odor Discrimination in Gas Sensor Array

Amine Bermak;Sofiane Brahim-Belhouari;Minghua Shi;Dominique Martinez.
The Encyclopedia of Sensors, Craig A. Grimes , Elizabeth C. Dickey , Michael V. Pishko (editors), (2005)

87 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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