2005 - IEEE Fellow For contributions to concurrent programming, system software, security, and ubiquitous computing.
1934 - Fellow of the American Association for the Advancement of Science (AAAS)
Roy H. Campbell mainly investigates Distributed computing, Ubiquitous computing, Context-aware pervasive systems, Human–computer interaction and Middleware. He studies Distributed computing, namely Middleware. His Ubiquitous computing study incorporates themes from Computer security, Context awareness, Focus and Mobile computing.
The concepts of his Computer security study are interwoven with issues in Protocol and Cloud computing security. His Context-aware pervasive systems research integrates issues from Utility computing, End-user computing, Autonomic computing, Semantic computing and Semantic Web Stack. His Middleware research integrates issues from Information technology, SIMPLE and Service.
Distributed computing, Computer security, Ubiquitous computing, Operating system and Computer network are his primary areas of study. While the research belongs to areas of Distributed computing, Roy H. Campbell spends his time largely on the problem of Cloud computing, intersecting his research to questions surrounding Virtual machine. Computer security and Cloud computing security are frequently intertwined in his study.
His Ubiquitous computing research incorporates elements of Middleware and Mobile computing. Roy H. Campbell regularly ties together related areas like Embedded system in his Operating system studies. His work deals with themes such as End-user computing and Autonomic computing, which intersect with Context-aware pervasive systems.
His primary areas of study are Artificial intelligence, Distributed computing, Cloud computing, Scheduling and Computation. His Artificial intelligence research focuses on subjects like Machine learning, which are linked to Clinical trial and Text mining. Roy H. Campbell combines subjects such as Scalability and Computer network with his study of Distributed computing.
The study incorporates disciplines such as Computer security, Virtual machine and Enhanced Data Rates for GSM Evolution in addition to Cloud computing. His study focuses on the intersection of Computer security and fields such as Cloud computing security with connections in the field of Information assurance. The Computation study which covers Inference that intersects with Theoretical computer science and Redundancy.
His primary areas of investigation include Distributed computing, Artificial intelligence, Scheduling, Computation and Server. His studies deal with areas such as Telecommunications network, Computer network and Scalability as well as Distributed computing. His work in the fields of Artificial intelligence, such as Image and Range, overlaps with other areas such as Video prediction and Policy learning.
His Scheduling study combines topics in areas such as Deep learning, Real-time computing, Theoretical computer science and Code. His Computation study integrates concerns from other disciplines, such as Inference, Computer engineering and Speedup. Roy H. Campbell has researched Server in several fields, including Exploit, Side channel attack and Cloud computing.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A middleware infrastructure for active spaces
M. Roman;C. Hess;R. Cerqueira;A. Ranganathan.
IEEE Pervasive Computing (2002)
Big data: Astronomical or genomical?
Zachary D. Stephens;Skylar Y. Lee;Faraz Faghri;Roy H. Campbell.
PLOS Biology (2015)
The specification of process synchronization by path expressions
Roy H. Campbell;A. Nico Habermann.
international symposium on operating systems (1974)
A middleware for context-aware agents in ubiquitous computing environments
Anand Ranganathan;Roy H. Campbell.
acm ifip usenix international conference on middleware (2003)
ARIA: automatic resource inference and allocation for mapreduce environments
Abhishek Verma;Ludmila Cherkasova;Roy H. Campbell.
international conference on autonomic computing (2011)
The case for reflective middleware
Fabio Kon;Fabio Costa;Gordon Blair;Roy H. Campbell.
Communications of The ACM (2002)
Monitoring, security, and dynamic configuration with the dynamicTAO reflective ORB
Fabio Kon;Manuel Román;Ping Liu;Jina Mao.
Lecture Notes in Computer Science (2000)
An infrastructure for context-awareness based on first order logic
Anand Ranganathan;Roy H. Campbell.
ubiquitous computing (2003)
Reasoning about uncertain contexts in pervasive computing environments
A. Ranganathan;J. Al-Muhtadi;R.H. Campbell.
IEEE Pervasive Computing (2004)
Consistent and durable data structures for non-volatile byte-addressable memory
Shivaram Venkataraman;Niraj Tolia;Parthasarathy Ranganathan;Roy H. Campbell.
file and storage technologies (2011)
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