What is he best known for?
The fields of study he is best known for:
- Operating system
- Central processing unit
- Programming language
His primary scientific interests are in Computer architecture, Unified Parallel C, Parallel computing, Programming language and Artificial intelligence.
His Computer architecture research includes themes of Supercomputer, Coprocessor, Reconfigurable computing, System on a chip and Network on a chip.
His study in the fields of High-performance reconfigurable computing under the domain of Reconfigurable computing overlaps with other disciplines such as Computer communication networks.
His Unified Parallel C research includes elements of Message passing, Usability, Shared memory and Distributed shared memory.
His biological study focuses on Compiler.
The concepts of his Dimensionality reduction study are interwoven with issues in Image processing, Wavelet, Wavelet transform and Principal component analysis.
His most cited work include:
- UPC Language Specifications V1.1.1 (178 citations)
- Automatic reduction of hyperspectral imagery using wavelet spectral analysis (168 citations)
- The Promise of High-Performance Reconfigurable Computing (141 citations)
What are the main themes of his work throughout his whole career to date?
Parallel computing, Computer architecture, Field-programmable gate array, Reconfigurable computing and Photonics are his primary areas of study.
His Parallel computing research also works with subjects such as
- Programming paradigm which intersects with area such as Distributed shared memory,
- Scalability that connect with fields like Network on a chip.
His research investigates the connection between Computer architecture and topics such as Supercomputer that intersect with problems in SPMD.
His work deals with themes such as Microprocessor and Hardware architecture, which intersect with Field-programmable gate array.
Tarek El-Ghazawi has included themes like Scheduling and Reconfigurability in his Reconfigurable computing study.
The Photonics study combines topics in areas such as Artificial neural network, Neuromorphic engineering, Electronic engineering and Plasmon.
He most often published in these fields:
- Parallel computing (26.65%)
- Computer architecture (18.34%)
- Field-programmable gate array (15.47%)
What were the highlights of his more recent work (between 2015-2021)?
- Photonics (12.61%)
- Electronic engineering (6.59%)
- Artificial neural network (6.02%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Photonics, Electronic engineering, Artificial neural network, Nanophotonics and Residue number system.
His studies deal with areas such as Routing, Neuromorphic engineering, Plasmon and Router as well as Photonics.
He has researched Neuromorphic engineering in several fields, including Noise, Computer architecture, Perceptron and Silicon photonics.
He combines subjects such as Scalability, Deep learning, Artificial intelligence and Software with his study of Computer architecture.
The study incorporates disciplines such as Compiler and Parallel computing in addition to Scalability.
His Electronic engineering research is multidisciplinary, relying on both Electronic circuit, Figure of merit, Optics, Electronics and Interconnection.
Between 2015 and 2021, his most popular works were:
- Hybrid Photonic-Plasmonic Nonblocking Broadband 5 × 5 Router for Optical Networks (41 citations)
- Neuromorphic photonics with electro-absorption modulators. (39 citations)
- ITO-based Electro-absorption Modulator for Photonic Neural Activation Function (29 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Central processing unit
- Artificial intelligence
His primary areas of study are Photonics, Artificial neural network, Electronic engineering, Convolutional neural network and Scalability.
His research integrates issues of Neuromorphic engineering, Computer hardware, Insertion loss and Router in his study of Photonics.
His work in Electronic engineering addresses issues such as Electronics, which are connected to fields such as Efficient energy use and Interconnection.
His Scalability study frequently links to adjacent areas such as Computer architecture.
His research on Computer architecture also deals with topics like
- Embedded system together with Computation,
- Implementation together with Chapel, Software and Parallel computing.
His Parallel computing study integrates concerns from other disciplines, such as Algorithm, Central processing unit and Wavelet.
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