What is he best known for?
The fields of study he is best known for:
- Programming language
- Computer network
- Artificial intelligence
The scientist’s investigation covers issues in Distributed computing, Dataflow, Parallel computing, Workflow and Multiprocessing.
His Distributed computing study combines topics in areas such as Kahn process networks, Programming paradigm and Implementation.
His work carried out in the field of Dataflow brings together such families of science as Computational complexity theory, Resource and Graph.
Twan Basten interconnects Digital signal processing, Computation and Scheduling, Synchronous Data Flow in the investigation of issues within Parallel computing.
His Workflow study integrates concerns from other disciplines, such as Software engineering, Formal specification, Superclass and Petri net.
His Multiprocessing study combines topics from a wide range of disciplines, such as Data-flow analysis, Decoding methods and System on a chip, Embedded system, Network on a chip.
His most cited work include:
- Inheritance of workflows: an approach to tackling problems related to change (463 citations)
- Diagnosing workflow processes using Woflan (276 citations)
- Throughput Analysis of Synchronous Data Flow Graphs (234 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Distributed computing, Parallel computing, Embedded system, Dataflow and Theoretical computer science.
His research in Distributed computing focuses on subjects like Wireless sensor network, which are connected to Key distribution in wireless sensor networks and Quality of service.
Mathematical optimization is closely connected to Computation in his research, which is encompassed under the umbrella topic of Parallel computing.
His research combines Scalability and Embedded system.
His research in Dataflow intersects with topics in Data-flow analysis, Throughput and Graph.
His Theoretical computer science research integrates issues from Petri net and Algebra.
He most often published in these fields:
- Distributed computing (24.63%)
- Parallel computing (15.81%)
- Embedded system (13.60%)
What were the highlights of his more recent work (between 2015-2021)?
- Real-time computing (8.82%)
- Control system (5.15%)
- Distributed computing (24.63%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Real-time computing, Control system, Distributed computing, Dataflow and Parallel computing.
His Real-time computing study also includes
- Network packet, which have a strong connection to Wireless sensor network,
- Platoon, which have a strong connection to Fuel efficiency.
In his works, Twan Basten conducts interdisciplinary research on Distributed computing and Resource management.
His studies deal with areas such as Domain, Data-flow analysis, Theoretical computer science and Computation as well as Dataflow.
The concepts of his Parallel computing study are interwoven with issues in Scheduling and Digital subscriber line.
Twan Basten combines subjects such as Scalability, Mathematical optimization and Asynchronous communication with his study of Scheduling.
Between 2015 and 2021, his most popular works were:
- The FitOptiVis ECSEL project: highly efficient distributed embedded image/video processing in cyber-physical systems (13 citations)
- Performance analysis and controller improvement for linear systems with (m, k)-firm data losses (13 citations)
- Mapping of synchronous dataflow graphs on MPSoCs based on parallelism enhancement (13 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Computer network
- Artificial intelligence
His scientific interests lie mostly in Distributed computing, Computer network, Control theory, Dataflow and Multiprocessing.
His work carried out in the field of Distributed computing brings together such families of science as Actuator, Video processing and Reference architecture.
Twan Basten has included themes like Wireless network, Wi-Fi and Inter-Access Point Protocol in his Computer network study.
His Dataflow study improves the overall literature in Parallel computing.
He interconnects Genetic algorithm, Computation, Heuristics and Heuristic in the investigation of issues within Parallel computing.
His research in Multiprocessing intersects with topics in Software, Design process, Design flow and Modular design.
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