What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Programming language
His primary scientific interests are in Embedded system, Network on a chip, System on a chip, Scalability and Computer network.
His Embedded system study integrates concerns from other disciplines, such as Computer architecture, Memory controller, Arbiter, Software and Network interface.
His Network on a chip research includes elements of Time division multiple access, Latency, Distributed computing, Control reconfiguration and Application software.
His work deals with themes such as Throughput, Chip, Network simulation, Debugging and Implementation, which intersect with System on a chip.
Kees Goossens combines subjects such as Time-division multiplexing, Abstraction layer and Router with his study of Scalability.
His work on Quality of service as part of his general Computer network study is frequently connected to Quality, thereby bridging the divide between different branches of science.
His most cited work include:
- AEthereal network on chip: concepts, architectures, and implementations (798 citations)
- Trade Offs in the Design of a Router with Both Guaranteed and Best-Effort Services for Networks on Chip (428 citations)
- Predator: a predictable SDRAM memory controller (191 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Embedded system, Network on a chip, System on a chip, Computer network and Distributed computing.
Kees Goossens works mostly in the field of Embedded system, limiting it down to topics relating to Debugging and, in certain cases, Event.
His Network on a chip research focuses on Scalability and how it connects with Integrated circuit design and Time-division multiplexing.
As a part of the same scientific family, he mostly works in the field of System on a chip, focusing on Composability and, on occasion, Predictability.
The concepts of his Computer network study are interwoven with issues in Network interface and Integrated circuit.
His Distributed computing research incorporates elements of Network topology, Resource and Dataflow.
He most often published in these fields:
- Embedded system (47.20%)
- Network on a chip (25.17%)
- System on a chip (22.03%)
What were the highlights of his more recent work (between 2015-2021)?
- Embedded system (47.20%)
- Distributed computing (13.29%)
- Scheduling (8.74%)
In recent papers he was focusing on the following fields of study:
Kees Goossens mainly investigates Embedded system, Distributed computing, Scheduling, Field-programmable gate array and Memory controller.
His work in System on a chip and MPSoC is related to Embedded system.
His Distributed computing research includes themes of Scalability, Model of computation, Dataflow, IEEE 802.15 and Event.
His work focuses on many connections between Scheduling and other disciplines, such as Multi-core processor, that overlap with his field of interest in Statistical time division multiplexing, Network interface and Router.
His Field-programmable gate array study incorporates themes from Decoding methods, Debugging and Crossover.
His study looks at the relationship between Memory controller and fields such as Response time, as well as how they intersect with chemical problems.
Between 2015 and 2021, his most popular works were:
- Argo: A Real-Time Network-on-Chip Architecture With an Efficient GALS Implementation (59 citations)
- A Globally Arbitrated Memory Tree for Mixed-Time-Criticality Systems (17 citations)
- Power/Performance Trade-Offs in Real-Time SDRAM Command Scheduling (13 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Programming language
Kees Goossens spends much of his time researching Embedded system, Scheduling, Computer network, Distributed computing and Memory controller.
His studies in Embedded system integrate themes in fields like Control system, Applications architecture, Cellular architecture, Symmetric multiprocessor system and Virtual prototyping.
His research in Scheduling intersects with topics in Registered memory, Interleaved memory, CAS latency and Memory bandwidth.
The Computer network study combines topics in areas such as Wireless, IEEE 802.11b-1999 and Service set.
The study incorporates disciplines such as Model of computation, Static timing analysis, Parsing and Dataflow in addition to Distributed computing.
He has researched Memory controller in several fields, including Memory rank, Memory refresh, Response time and Parallel computing.
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