What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Software
His primary scientific interests are in The Internet, Distributed computing, Ubiquitous computing, Data mining and Cloud computing.
His The Internet research is multidisciplinary, incorporating perspectives in Detector, Workload, Systems architecture, Server and Component.
His Distributed computing research includes elements of Layer, Instrumentation, Software deployment, Volume and Computer network.
His Ubiquitous computing study combines topics in areas such as Workspace and Mobile computing.
The concepts of his Cloud computing study are interwoven with issues in Information technology, Duration, Computer security, Real-time computing and Statistical model.
His studies in Computer security integrate themes in fields like Software as a service, Elasticity, Logical extreme and Operations research.
His most cited work include:
- A view of cloud computing (7172 citations)
- Above the Clouds: A Berkeley View of Cloud Computing (5141 citations)
- Pinpoint: problem determination in large, dynamic Internet services (758 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Distributed computing, The Internet, Software, World Wide Web and Ubiquitous computing.
The Distributed computing study combines topics in areas such as Stateless protocol, Application server, Scalability, Reboot and Dependability.
His research investigates the link between The Internet and topics such as Workload that cross with problems in Cloud computing.
His research integrates issues of High availability, Reliability engineering and Software engineering in his study of Software.
His research in Ubiquitous computing intersects with topics in Workspace, Interoperation and Mobile computing.
His research investigates the connection between Human–computer interaction and topics such as User interface that intersect with issues in Multimedia.
He most often published in these fields:
- Distributed computing (19.62%)
- The Internet (16.27%)
- Software (14.35%)
What were the highlights of his more recent work (between 2014-2021)?
- Mathematics education (4.78%)
- Coding (3.35%)
- Software engineering (8.13%)
In recent papers he was focusing on the following fields of study:
Armando Fox mainly investigates Mathematics education, Coding, Software engineering, Multimedia and Artificial intelligence.
In his study, which falls under the umbrella issue of Mathematics education, Variable, User interface and Interface is strongly linked to Tracing.
His study in the field of Agile software development is also linked to topics like Teamwork.
Armando Fox interconnects Virtual machine, TUTOR, World Wide Web and Cluster analysis in the investigation of issues within Multimedia.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning, Distributed memory, x86 and Natural language processing.
His Grading study spans across into subjects like Computer graphics and Cloud computing.
Between 2014 and 2021, his most popular works were:
- Structuring Interactions for Large-Scale Synchronous Peer Learning (55 citations)
- Latte: a language, compiler, and runtime for elegant and efficient deep neural networks (41 citations)
- Scale-Driven Automatic Hint Generation for Coding Style (19 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Software
Armando Fox focuses on Multimedia, Coding, Programming language, Design intent and Programming style.
Armando Fox has researched Multimedia in several fields, including Leverage, Mathematics education, TUTOR, Programming assignment and Cluster analysis.
His Programming language research includes themes of Vertex, Analytics, Deep learning and Xeon.
His studies deal with areas such as Graph database, Graph and Graph rewriting as well as Domain-specific language.
The various areas that Armando Fox examines in his Machine learning study include Human–computer interaction and Artificial intelligence.
His Artificial intelligence research incorporates themes from Distributed memory, Machine code, x86, Speedup and Implementation.
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