What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Central processing unit
Tei-Wei Kuo mainly investigates Embedded system, Flash memory, Scheduling, Flash file system and Energy consumption.
The study incorporates disciplines such as Workload and Flash memory emulator in addition to Embedded system.
His biological study spans a wide range of topics, including Reliability, Memory management, NAND gate, Universal memory and Computer data storage.
His research in Scheduling intersects with topics in Real-time computing and Approximation algorithm.
His work carried out in the field of Flash file system brings together such families of science as File system, Self-certifying File System and Overhead.
The concepts of his Energy consumption study are interwoven with issues in Leakage, Efficient energy use, Architectural engineering and Parallel computing.
His most cited work include:
- An adaptive striping architecture for flash memory storage systems of embedded systems (265 citations)
- Real-time garbage collection for flash-memory storage systems of real-time embedded systems (232 citations)
- Endurance enhancement of flash-memory storage systems: an efficient static wear leveling design (196 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Embedded system, Distributed computing, Scheduling, Flash memory and Computer hardware.
His research in Embedded system focuses on subjects like Mobile device, which are connected to User experience design.
He focuses mostly in the field of Distributed computing, narrowing it down to matters related to Concurrency control and, in some cases, Serializability.
His Scheduling study integrates concerns from other disciplines, such as Energy consumption, Real-time computing and Approximation algorithm.
He has included themes like Multiprocessing and Efficient energy use in his Energy consumption study.
His studies in Flash memory integrate themes in fields like Universal memory, Reliability, Flash file system and Memory management.
He most often published in these fields:
- Embedded system (27.68%)
- Distributed computing (20.70%)
- Scheduling (20.20%)
What were the highlights of his more recent work (between 2016-2021)?
- Embedded system (27.68%)
- Computer hardware (13.22%)
- Mobile device (5.24%)
In recent papers he was focusing on the following fields of study:
Tei-Wei Kuo focuses on Embedded system, Computer hardware, Mobile device, Flash memory and Cache.
His Embedded system research incorporates elements of Latency, User-centered design, Frequency scaling, Voltage and Central processing unit.
When carried out as part of a general Computer hardware research project, his work on Wear leveling and Interleaved memory is frequently linked to work in Reliability, therefore connecting diverse disciplines of study.
His Mobile device research includes elements of Energy consumption, Quality of service, Computer network, User experience design and Visualization.
His study in Energy consumption is interdisciplinary in nature, drawing from both Classifier, Scheduling, Job shop scheduling and Efficient energy use.
His Flash memory research includes themes of Reliability, Chip, Parallel computing, Real-time computing and Bit error rate.
Between 2016 and 2021, his most popular works were:
- Virtual persistent cache: remedy the long latency behavior of host-aware shingled magnetic recording drives (12 citations)
- A Study on Speech Enhancement Using Exponent-Only Floating Point Quantized Neural Network (EOFP-QNN) (11 citations)
- Antiwear Leveling Design for SSDs With Hybrid ECC Capability (8 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Central processing unit
Tei-Wei Kuo mostly deals with Embedded system, Cache, Artificial neural network, Task and Algorithm.
The various areas that Tei-Wei Kuo examines in his Embedded system study include Completion time, Energy harvesting and Cryptography.
His work in Cache covers topics such as Non-volatile memory which are related to areas like Artificial intelligence.
His work is dedicated to discovering how Task, Serializability are connected with Computation, Distributed computing and Concurrency control and other disciplines.
His research integrates issues of Adaptive compression and Compression in his study of Algorithm.
In his work, Mobile device is strongly intertwined with User experience design, which is a subfield of Operating system.
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