2018 - Fellow, National Academy of Inventors
2015 - ACM Fellow For contributions to performance and reliability enhancement of flash-memory storage systems.
2011 - IEEE Fellow For contributions to real-time embedded systems and flash-memory storage systems
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 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.
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.
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.
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.
An adaptive striping architecture for flash memory storage systems of embedded systems
Li-Pin Chang;Tei-Wei Kuo.
real time technology and applications symposium (2002)
Real-time garbage collection for flash-memory storage systems of real-time embedded systems
Li-Pin Chang;Tei-Wei Kuo;Shi-Wu Lo.
ACM Transactions in Embedded Computing Systems (2004)
An Efficient B-Tree Layer for Flash-Memory Storage Systems
Chin Hsien Wu;Li-Pin Chang;Tei Wei Kuo.
embedded and real-time computing systems and applications (2003)
Endurance enhancement of flash-memory storage systems: an efficient static wear leveling design
Yuan-Hao Chang;Jen-Wei Hsieh;Tei-Wei Kuo.
design automation conference (2007)
Load adjustment in adaptive real-time systems
T.-W. Kuo;A.K. Mok.
real-time systems symposium (1991)
Efficient identification of hot data for flash memory storage systems
Jen-Wei Hsieh;Tei-Wei Kuo;Li-Pin Chang.
ACM Transactions on Storage (2006)
An efficient B-tree layer implementation for flash-memory storage systems
Chin-Hsien Wu;Tei-Wei Kuo;Li Ping Chang.
ACM Transactions in Embedded Computing Systems (2007)
A fixed-priority-driven open environment for real-time applications
Tei-Wei Kuo;Ching-Hui Li.
real time systems symposium (1999)
Efficient management for large-scale flash-memory storage systems with resource conservation
Li-Pin Chang;Tei-Wei Kuo.
ACM Transactions on Storage (2005)
An Approximation Algorithm for Energy-Efficient Scheduling on A Chip Multiprocessor
Chuan-Yue Yang;Jian-Jia Chen;Tei-Wei Kuo.
design, automation, and test in europe (2005)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: