What is he best known for?
The fields of study he is best known for:
- Statistics
- Computer network
- Algorithm
His primary areas of investigation include Electronic engineering, Transmitter, Communication channel, Erasure code and Algorithm.
His Electronic engineering study integrates concerns from other disciplines, such as Channel, MIMO and Orthogonal frequency-division multiplexing.
His study in the fields of Multi-user MIMO under the domain of MIMO overlaps with other disciplines such as Throughput and Scheme.
His Communication channel research includes elements of Bounded function and Topology.
The study incorporates disciplines such as Discrete mathematics, Block code, Linear code, Luby transform code and Linear network coding in addition to Erasure code.
His research integrates issues of Bandwidth and Distributed computing, Distributed data store in his study of Linear network coding.
His most cited work include:
- A Survey on Network Codes for Distributed Storage (608 citations)
- Interference Alignment for Cellular Networks (395 citations)
- Downlink Interference Alignment (366 citations)
What are the main themes of his work throughout his whole career to date?
Changho Suh mainly focuses on Communication channel, Electronic engineering, Algorithm, Topology and Orthogonal frequency-division multiplexing.
His Communication channel study combines topics from a wide range of disciplines, such as Interference, Relay, Gaussian, Interference and Computer network.
In his research, Telecommunications link and Antenna is intimately related to MIMO, which falls under the overarching field of Interference.
The concepts of his Electronic engineering study are interwoven with issues in Transmission, Base station, Communications system and Transmitter, Signal.
His Topology research includes themes of Wireless, Telecommunications and Channel capacity.
His work is dedicated to discovering how Orthogonal frequency-division multiplexing, Preamble are connected with Null and other disciplines.
He most often published in these fields:
- Communication channel (22.55%)
- Electronic engineering (22.06%)
- Algorithm (16.18%)
What were the highlights of his more recent work (between 2016-2021)?
- Artificial intelligence (6.86%)
- Algorithm (16.18%)
- Machine learning (5.39%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Artificial intelligence, Algorithm, Machine learning, Matrix completion and Upper and lower bounds.
In his research, he performs multidisciplinary study on Algorithm and Basis.
His study in Upper and lower bounds is interdisciplinary in nature, drawing from both Distributed computing, Hierarchical coding, Pairwise comparison, Ranking and Computation.
His Computation research incorporates themes from Deterministic system, Communication channel and Matrix multiplication.
His study looks at the relationship between Interference and topics such as Computer engineering, which overlap with Wireless.
His work carried out in the field of Transmission brings together such families of science as Task and Topology.
Between 2016 and 2021, his most popular works were:
- High-dimensional coded matrix multiplication (153 citations)
- Understanding GANs: the LQG Setting (39 citations)
- Hierarchical Coding for Distributed Computing (37 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Computer network
- Algorithm
His main research concerns Upper and lower bounds, Computation, Algorithm, Artificial intelligence and Machine learning.
Changho Suh combines subjects such as Ranking, Statistics and Pairwise comparison with his study of Upper and lower bounds.
He interconnects Decoding methods and Matrix multiplication in the investigation of issues within Computation.
His research is interdisciplinary, bridging the disciplines of Distributed computing and Decoding methods.
His study in Matrix multiplication is interdisciplinary in nature, drawing from both Theoretical computer science and Encoding.
In the subject of general Algorithm, his work in Side information is often linked to Simple correlation, thereby combining diverse domains of study.
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