What is he best known for?
The fields of study he is best known for:
- Programming language
- Operating system
- Algorithm
Scott D. Stoller mainly investigates Concurrency, Distributed computing, Atomicity, Static analysis and Correctness.
His study in Concurrency is interdisciplinary in nature, drawing from both Overhead, Software engineering, No Silver Bullet and Parallel computing.
His Distributed computing study combines topics from a wide range of disciplines, such as Asynchronous communication and Modular design.
His Atomicity research is included under the broader classification of Programming language.
His research in Programming language tackles topics such as Scalability which are related to areas like Code.
His biological study spans a wide range of topics, including Program transformation, Type inference and Deadlock.
His most cited work include:
- Runtime analysis of atomicity for multithreaded programs (157 citations)
- Testing Concurrent Java Programs using Randomized Scheduling (119 citations)
- Transverse spin relaxation in inhomogeneous magnetic fields (106 citations)
What are the main themes of his work throughout his whole career to date?
Scott D. Stoller spends much of his time researching Programming language, Theoretical computer science, Distributed computing, Access control and Algorithm.
He works mostly in the field of Theoretical computer science, limiting it down to topics relating to Set and, in certain cases, Formal verification, as a part of the same area of interest.
The concepts of his Distributed computing study are interwoven with issues in Scalability, Static analysis and Atomicity.
His research in Atomicity intersects with topics in Debugging, Concurrent computing and Correctness.
His research in the fields of Role-based access control overlaps with other disciplines such as Flexibility and Policy analysis.
Scott D. Stoller regularly ties together related areas like Parallel computing in his Concurrency studies.
He most often published in these fields:
- Programming language (22.45%)
- Theoretical computer science (20.41%)
- Distributed computing (18.88%)
What were the highlights of his more recent work (between 2017-2021)?
- Programming language (22.45%)
- Access control (16.84%)
- Algorithm (14.80%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Programming language, Access control, Algorithm, Theoretical computer science and Artificial intelligence.
He has researched Access control in several fields, including Evolutionary algorithm and Information sharing.
His study on Information sharing also encompasses disciplines like
- Decision tree learning which connect with Attribute-based access control,
- Database which connect with Host, Dependency graph and Software engineering.
His Algorithm research includes elements of Distributed algorithm and Executable.
His Theoretical computer science study frequently links to related topics such as Set.
Within one scientific family, Scott D. Stoller focuses on topics pertaining to Artificial neural network under Scalability, and may sometimes address concerns connected to Backup, Baseline, Runtime verification and Distributed computing.
Between 2017 and 2021, his most popular works were:
- Dependence-Preserving Data Compaction for Scalable Forensic Analysis (21 citations)
- Dependence-Preserving Data Compaction for Scalable Forensic Analysis (21 citations)
- Greedy and Evolutionary Algorithms for Mining Relationship-Based Access Control Policies (14 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Operating system
- Algorithm
His scientific interests lie mostly in Scalability, Theoretical computer science, Access control, Evolutionary algorithm and Programming language.
His studies in Scalability integrate themes in fields like Artificial neural network, Feature selection, Data compaction and Computer engineering.
His study in Theoretical computer science is interdisciplinary in nature, drawing from both Flocking and Rule-based system.
His Access control research integrates issues from Object model, Data mining, Information sharing and Noisy data.
The study incorporates disciplines such as Set, Heuristics and Greedy algorithm in addition to Evolutionary algorithm.
His research brings together the fields of Consensus and Programming language.
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