What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Software
Edward A. Lee mainly investigates Theoretical computer science, Software, Embedded system, Distributed computing and Dataflow.
His Theoretical computer science research is multidisciplinary, incorporating perspectives in Programming language, Semantics, Dynamical systems theory, Model of computation and Intersection.
Edward A. Lee has included themes like Computer architecture, Software system, Embedded software and Logic synthesis in his Embedded system study.
The concepts of his Distributed computing study are interwoven with issues in Determinacy, Modeling and simulation, Network topology, Computer network and Real-time computing.
His research in Dataflow intersects with topics in Data flow diagram and Kahn process networks.
His study explores the link between Parallel computing and topics such as Dynamic priority scheduling that cross with problems in Fair-share scheduling.
His most cited work include:
- Cyber Physical Systems: Design Challenges (2335 citations)
- Synchronous data flow (1560 citations)
- Scientific Workflow Management and the Kepler System (1465 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Distributed computing, Theoretical computer science, Dataflow, Software and Model of computation.
His Distributed computing study combines topics in areas such as Modeling and simulation, Real-time computing, Event, Programming paradigm and Cyber-physical system.
Edward A. Lee interconnects Programming language, Semantics and Algorithm in the investigation of issues within Theoretical computer science.
His Dataflow study is focused on Parallel computing in general.
His Parallel computing research incorporates themes from Digital signal processing, Scheduling and Data flow diagram.
His Software research is multidisciplinary, relying on both Software engineering and Embedded system.
He most often published in these fields:
- Distributed computing (19.44%)
- Theoretical computer science (16.85%)
- Dataflow (14.26%)
What were the highlights of his more recent work (between 2014-2021)?
- Distributed computing (19.44%)
- Cyber-physical system (6.85%)
- Computer security (2.04%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Distributed computing, Cyber-physical system, Computer security, Software engineering and Theoretical computer science.
His studies deal with areas such as Control system, Event, Scalability and Component as well as Distributed computing.
His research integrates issues of Programming language and Hybrid system in his study of Cyber-physical system.
His Programming language study focuses on Semantics in particular.
His study in Software engineering is interdisciplinary in nature, drawing from both Software and Compiler.
His work on Theoretical computer science is being expanded to include thematically relevant topics such as Heuristics.
Between 2014 and 2021, his most popular works were:
- The past, present and future of cyber-physical systems: a focus on models. (292 citations)
- The cloud is not enough: saving iot from the cloud (135 citations)
- Authentication and Authorization for the Internet of Things (52 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Software
His scientific interests lie mostly in Distributed computing, Cyber-physical system, Computer security, Interface and Programming language.
His work often combines Distributed computing and Determinism studies.
His Cyber-physical system research integrates issues from Telecommunications network, Robot, Swarm behaviour and Systems engineering.
The various areas that Edward A. Lee examines in his Interface study include Linear temporal logic, Service, Co-simulation, Relation and Dataflow.
His Programming language study combines topics from a wide range of disciplines, such as Open API, Hybrid system and XML.
His studies in Model of computation integrate themes in fields like Programming paradigm and Component.
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