What is he best known for?
The fields of study he is best known for:
- Operating system
- Algebra
- Algorithm
Shay Gueron focuses on Embedded system, Classical mechanics, Beat, Computer hardware and Statistical physics.
His Embedded system research includes themes of Elliptic curve cryptography, Elliptic Curve Digital Signature Algorithm, Forward secrecy and Prime.
His Computer hardware research incorporates themes from Encryption software and AES instruction set, AES implementations.
His Statistical physics study incorporates themes from Self-organization and Stationary distribution.
His studies deal with areas such as Set and Arithmetic as well as Cipher.
His study looks at the relationship between Encryption and fields such as Electrical engineering, as well as how they intersect with chemical problems.
His most cited work include:
- The Dynamics of Herds: From Individuals to Aggregations (261 citations)
- Dopamine modulation of two subthreshold currents produces phase shifts in activity of an identified motoneuron. (167 citations)
- Cilia internal mechanism and metachronal coordination as the result of hydrodynamical coupling. (162 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Parallel computing, Encryption, Cryptography, Arithmetic and Algorithm.
In his study, Code is strongly linked to Software, which falls under the umbrella field of Parallel computing.
His Encryption research focuses on Computer hardware and how it connects with Advanced Encryption Standard.
His work on Cryptosystem and Cryptographic primitive as part of general Cryptography research is frequently linked to NIST, bridging the gap between disciplines.
The concepts of his Arithmetic study are interwoven with issues in Discrete mathematics and Integer.
His studies in Speedup integrate themes in fields like Cycles per byte, Multiplication, x86 and Microarchitecture.
He most often published in these fields:
- Parallel computing (27.09%)
- Encryption (22.71%)
- Cryptography (19.92%)
What were the highlights of his more recent work (between 2015-2021)?
- Encryption (22.71%)
- Cryptography (19.92%)
- Parallel computing (27.09%)
In recent papers he was focusing on the following fields of study:
Shay Gueron mainly focuses on Encryption, Cryptography, Parallel computing, Cryptosystem and Key encapsulation.
His Encryption study is concerned with the larger field of Computer security.
His Cryptography research includes elements of Operand and Byte.
His Parallel computing research is mostly focused on the topic Speedup.
His Cryptosystem study combines topics in areas such as Key exchange and Binary number.
Shay Gueron combines subjects such as Algorithm and McEliece cryptosystem with his study of Key encapsulation.
Between 2015 and 2021, his most popular works were:
- A Memory Encryption Engine Suitable for General Purpose Processors. (120 citations)
- Architecture and instruction set for implementing advanced encryption standard (aes) (44 citations)
- Memory Encryption for General-Purpose Processors (39 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Algebra
- Algorithm
The scientist’s investigation covers issues in Encryption, Cryptosystem, Key exchange, Cryptography and Key encapsulation.
His Encryption study combines topics from a wide range of disciplines, such as Theoretical computer science, Distributed memory and Embedded system.
His Cryptosystem research is multidisciplinary, incorporating perspectives in Binary number, Current, Multiplication, Polynomial and AES instruction set.
His work focuses on many connections between AES instruction set and other disciplines, such as Encryption software, that overlap with his field of interest in Arithmetic.
His work carried out in the field of Key exchange brings together such families of science as Program optimization, Pseudorandom number generator, Parallel computing, Quantum computer and Key size.
Shay Gueron has researched Cryptography in several fields, including Discrete mathematics, Speedup and Degree.
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.
