What is he best known for?
The fields of study he is best known for:
- Computer network
- Algorithm
- Telecommunications
His primary areas of study are Algorithm, Block code, Wireless, Decoding methods and Electronic engineering.
The various areas that he examines in his Algorithm study include Transform coding, Upper and lower bounds, Speech recognition and Signal.
His Block code research includes elements of Theoretical computer science and Fading.
As part of one scientific family, Hamid Jafarkhani deals mainly with the area of Fading, narrowing it down to issues related to the Beamforming, and often Control theory and Channel state information.
His Wireless study also includes fields such as
- Relay and related Communication channel, Topology and Computer network,
- Power control together with Node.
His Decoding methods study incorporates themes from Transmission, Phase-shift keying and Antenna.
His most cited work include:
- Space-time block codes from orthogonal designs (6705 citations)
- Space-time block coding for wireless communications: performance results (1620 citations)
- A quasi-orthogonal space-time block code (1336 citations)
What are the main themes of his work throughout his whole career to date?
Hamid Jafarkhani focuses on Communication channel, Algorithm, Electronic engineering, Decoding methods and Transmitter.
His study in Communication channel is interdisciplinary in nature, drawing from both Transmission, Beamforming and Topology.
His study in Algorithm focuses on Block code in particular.
Hamid Jafarkhani combines subjects such as Extremely high frequency, MIMO, Antenna array and Communications system with his study of Electronic engineering.
His research investigates the link between Decoding methods and topics such as Single antenna interference cancellation that cross with problems in Multiuser detection.
His Transmitter research includes themes of Wireless, Antenna diversity, Wireless network, Channel state information and Antenna.
He most often published in these fields:
- Communication channel (34.16%)
- Algorithm (30.20%)
- Electronic engineering (22.28%)
What were the highlights of his more recent work (between 2015-2021)?
- Communication channel (34.16%)
- Algorithm (30.20%)
- Electronic engineering (22.28%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Communication channel, Algorithm, Electronic engineering, Telecommunications link and Asynchronous communication.
His Communication channel study integrates concerns from other disciplines, such as Transmitter and Beamforming.
His research related to Reed–Solomon error correction and Decoding methods might be considered part of Algorithm.
His Decoding methods research incorporates themes from Coding and Linear network coding.
The concepts of his Electronic engineering study are interwoven with issues in Extremely high frequency, Iterative method, Transmission and Transceiver.
His Upper and lower bounds research integrates issues from Network topology, Degree, Topology control and Fading.
Between 2015 and 2021, his most popular works were:
- A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI. (347 citations)
- Automatic segmentation of the right ventricle from cardiac MRI using a learning-based approach. (61 citations)
- Sensor Deployment With Limited Communication Range in Homogeneous and Heterogeneous Wireless Sensor Networks (43 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- Algorithm
His primary areas of investigation include Wireless sensor network, Wireless, Communication channel, Asynchronous communication and Electronic engineering.
As part of his studies on Communication channel, Hamid Jafarkhani often connects relevant subjects like Decoding methods.
His studies deal with areas such as Multiplexing, Transceiver and Fading as well as Decoding methods.
His work deals with themes such as Algorithm, Synchronization, Linear network coding and Relay, which intersect with Asynchronous communication.
His Reed–Solomon error correction study in the realm of Algorithm connects with subjects such as Scalar.
His Electronic engineering study combines topics in areas such as Extremely high frequency, MIMO and Transmitter.
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