What is he best known for?
The fields of study he is best known for:
- Operating system
- Central processing unit
- Computer network
Embedded system, Scheduling, Parallel computing, Interleaved memory and Computer memory are his primary areas of study.
His Embedded system research includes themes of Chip, Software, Operating system and Computer hardware.
His biological study focuses on Dynamic priority scheduling.
The concepts of his Dynamic priority scheduling study are interwoven with issues in Energy consumption, Dynamic voltage scaling and Fair-share scheduling.
His Parallel computing research incorporates elements of Algorithm, Node and Control flow graph.
The various areas that he examines in his Computer memory study include Registered memory and Memory map.
His most cited work include:
- Cost minimization while satisfying hard/soft timing constraints for heterogeneous embedded systems (188 citations)
- A novel multiplexer-based low-power full adder (152 citations)
- Trust prediction and trust-based source routing in mobile ad hoc networks (145 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Parallel computing, Scheduling, Embedded system, Distributed computing and Retiming.
His Parallel computing research includes elements of Interleaved memory, Digital signal processing, Loop scheduling and Uniform memory access.
Edwin H.-M. Sha has included themes like Schedule and Mathematical optimization in his Scheduling study.
His study in Mathematical optimization is interdisciplinary in nature, drawing from both Probabilistic logic and Real-time computing.
His work carried out in the field of Embedded system brings together such families of science as Energy consumption, Non-volatile memory, Software and Dram.
His research integrates issues of Data flow diagram and Software pipelining in his study of Retiming.
He most often published in these fields:
- Parallel computing (40.63%)
- Scheduling (33.07%)
- Embedded system (21.35%)
What were the highlights of his more recent work (between 2012-2021)?
- Embedded system (21.35%)
- Scheduling (33.07%)
- Parallel computing (40.63%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Embedded system, Scheduling, Parallel computing, Distributed computing and Energy consumption.
His study in the fields of Wear leveling under the domain of Embedded system overlaps with other disciplines such as Phase-change memory.
His Scheduling study combines topics from a wide range of disciplines, such as Multiprocessing, MPSoC and Schedule.
As a member of one scientific family, he mostly works in the field of Parallel computing, focusing on Access time and, on occasion, Static random-access memory.
His Distributed computing study integrates concerns from other disciplines, such as Real-time computing, Computer network, Integer programming and Routing protocol.
His studies deal with areas such as Least slack time scheduling, Efficient energy use and Mobile device as well as Energy consumption.
Between 2012 and 2021, his most popular works were:
- Trust prediction and trust-based source routing in mobile ad hoc networks (145 citations)
- crowddeliver : Planning City-Wide Package Delivery Paths Leveraging the Crowd of Taxis (103 citations)
- Data Allocation Optimization for Hybrid Scratch Pad Memory With SRAM and Nonvolatile Memory (61 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Central processing unit
- Computer network
His primary scientific interests are in Embedded system, Phase-change memory, Wear leveling, Computer network and Parallel computing.
His Embedded system research is multidisciplinary, incorporating elements of Overhead, Operating system, Energy consumption, Chip and Non-volatile memory.
The Energy consumption study combines topics in areas such as Scheduling, Efficient energy use and Paging.
His Parallel computing study combines topics in areas such as Processor scheduling, Greedy algorithm, Dynamic priority scheduling and Heuristic.
His Routing protocol research is multidisciplinary, incorporating perspectives in Mobile ad hoc network and Distributed computing.
His work on Computer memory, Non-volatile random-access memory, Registered memory and Semiconductor memory is typically connected to Nand flash memory as part of general Computer hardware study, connecting several disciplines of science.
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