What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Algorithm
- Artificial intelligence
His primary areas of investigation include Probabilistic logic, Theoretical computer science, Model checking, Algorithm and Formal verification.
His Probabilistic logic research includes themes of Automaton, Temporal logic, Prism, Markov decision process and Nondeterministic algorithm.
His Temporal logic research incorporates elements of Correctness and Markov chain.
His Theoretical computer science study combines topics in areas such as Range, Probabilistic CTL, Statistical model and Extension.
His work in the fields of Abstraction model checking and PRISM model checker overlaps with other areas such as Bluetooth.
The various areas that David Parker examines in his Algorithm study include Property, Probabilistic analysis of algorithms and Divergence-from-randomness model.
His most cited work include:
- PRISM 4.0: verification of probabilistic real-time systems (1627 citations)
- PRISM : A tool for automatic verification of probabilistic systems (571 citations)
- PRISM: Probabilistic Symbolic Model Checker (557 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Probabilistic logic, Theoretical computer science, Particle, Mechanics and Tracking.
His Probabilistic logic research is multidisciplinary, incorporating elements of Temporal logic, Model checking, Formal verification, Algorithm and Markov decision process.
The Model checking study combines topics in areas such as Mathematical optimization and Binary decision diagram.
David Parker has researched Theoretical computer science in several fields, including Probabilistic CTL, Markov process, Markov chain and Statistical model.
His work carried out in the field of Particle brings together such families of science as Granular material and Mineralogy.
His Tracking study combines topics from a wide range of disciplines, such as TRACER, Optics and Positron emission.
He most often published in these fields:
- Probabilistic logic (28.64%)
- Theoretical computer science (18.84%)
- Particle (18.59%)
What were the highlights of his more recent work (between 2015-2021)?
- Probabilistic logic (28.64%)
- Condensed matter physics (5.53%)
- Markov decision process (12.06%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Probabilistic logic, Condensed matter physics, Markov decision process, Theoretical computer science and Distributed computing.
His studies deal with areas such as Temporal logic, Model checking, Formal verification, Algorithm and Markov chain as well as Probabilistic logic.
His biological study spans a wide range of topics, including Property, Cryptographic protocol and Markov process.
He combines subjects such as Linear programming and Control theory with his study of Markov decision process.
His specific area of interest is Theoretical computer science, where David Parker studies Nondeterministic algorithm.
His research integrates issues of Key, Task and Benchmark in his study of Distributed computing.
Between 2015 and 2021, his most popular works were:
- Quantitative Verification and Synthesis of Attack-Defence Scenarios (44 citations)
- New Measurement of the Direct 3 α Decay from the C 12 Hoyle State (41 citations)
- PRISM-games: verification and strategy synthesis for stochastic multi-player games with multiple objectives. (36 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Artificial intelligence
- Programming language
David Parker spends much of his time researching Probabilistic logic, Distributed computing, Formal verification, Theoretical computer science and Model checking.
His work deals with themes such as Control theory, Markov decision process, Markov chain, Benchmark and Software engineering, which intersect with Probabilistic logic.
His research in Distributed computing intersects with topics in Task, Mobile robot, Real-time computing, Bounded function and Key.
David Parker interconnects Observability, Rotation formalisms in three dimensions, State and Energy management in the investigation of issues within Formal verification.
His Theoretical computer science research includes themes of Algorithm, Stochastic modelling and Subgame perfect equilibrium.
His Model checking study integrates concerns from other disciplines, such as Property and Markov process.
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