What is he best known for?
The fields of study he is best known for:
- Operating system
- Artificial intelligence
- Programming language
His primary areas of investigation include Embedded system, Computer architecture, Parallel computing, Software and Scheduling.
His Embedded system study incorporates themes from Network topology, Smart camera, Distributed computing and Embedded software.
His Computer architecture research is multidisciplinary, incorporating perspectives in Logic synthesis, Multiprocessing, Very-large-scale integration, Signal processing and System on a chip.
His Parallel computing research integrates issues from Data compression and Cluster analysis.
Wayne Wolf has included themes like High-level synthesis and Implementation in his Software study.
His Scheduling research includes themes of Workload, Working set and Basic block.
His most cited work include:
- TGFF: task graphs for free (782 citations)
- Key frame selection by motion analysis (372 citations)
- Hardware-software co-design of embedded systems (337 citations)
What are the main themes of his work throughout his whole career to date?
Wayne Wolf mainly investigates Embedded system, Parallel computing, Artificial intelligence, Computer architecture and Software.
His Embedded system study combines topics in areas such as Multiprocessing, Smart camera, Scheduling and Embedded software.
His studies in Scheduling integrate themes in fields like Finite-state machine and Distributed computing.
Wayne Wolf has researched Parallel computing in several fields, including Data compression and Code.
His studies deal with areas such as Computer vision and Pattern recognition as well as Artificial intelligence.
The Computer architecture study combines topics in areas such as Field-programmable gate array, Very-large-scale integration and MPSoC.
He most often published in these fields:
- Embedded system (32.99%)
- Parallel computing (13.51%)
- Artificial intelligence (13.25%)
What were the highlights of his more recent work (between 2007-2018)?
- Embedded system (32.99%)
- Smart camera (8.05%)
- Real-time computing (7.53%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Embedded system, Smart camera, Real-time computing, Computer architecture and Multimedia.
His study in Embedded system is interdisciplinary in nature, drawing from both Industrial engineering, Cryptography, Field, Dataflow and Systems design.
His Smart camera research incorporates elements of Image sensor, Embedded computer vision, Application software, Tracking system and Intelligent sensor.
His Real-time computing study combines topics in areas such as Power control, Video tracking, Transmission, Computer vision and Artificial intelligence.
His Computer architecture research includes themes of Theoretical computer science, Logic synthesis, Physical layer, Cognitive network and Field-programmable gate array.
His studies in Scheduling integrate themes in fields like Control system and Distributed computing.
Between 2007 and 2018, his most popular works were:
- Multiprocessor System-on-Chip (MPSoC) Technology (326 citations)
- Cyber-physical Systems (234 citations)
- An Introduction to Distributed Smart Cameras (155 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Artificial intelligence
- Programming language
Wayne Wolf mostly deals with Embedded system, Cyber-physical system, Multimedia, Intelligent sensor and Smart camera.
His Embedded system research is multidisciplinary, incorporating perspectives in Unified Modeling Language, Instruction set, Notation, Program Design Language and Systems design.
His Cyber-physical system research incorporates themes from Control system, Scheduling, Software and Distributed computing.
His Distributed computing study integrates concerns from other disciplines, such as Job shop scheduling, Fixed-priority pre-emptive scheduling, Power control and Fair-share scheduling.
The various areas that he examines in his Multimedia study include JPEG, Data compression, Compiler, Set and Benchmark.
His studies deal with areas such as Image sensor, Computer architecture and Application software as well as Intelligent sensor.
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.
