2009 - ACM Senior Member
Ubiquitous computing, Data science, Distributed computing, Context-aware pervasive systems and Artificial intelligence are his primary areas of study. His work carried out in the field of Ubiquitous computing brings together such families of science as Knowledge management, Frame, Middleware, World Wide Web and Data structure. Simon Dobson has researched Data science in several fields, including Range, Open research, Context model and Autonomic computing.
His studies in Range integrate themes in fields like Face, Programming paradigm and Identification. His study looks at the relationship between Distributed computing and fields such as State, as well as how they intersect with chemical problems. The Context-aware pervasive systems study combines topics in areas such as Service discovery and Service.
Simon Dobson focuses on Distributed computing, Ubiquitous computing, Wireless sensor network, Human–computer interaction and Data science. His Distributed computing study also includes
Simon Dobson usually deals with Context-aware pervasive systems and limits it to topics linked to Autonomic computing and State. His biological study spans a wide range of topics, including Key distribution in wireless sensor networks, Real-time computing, Network topology and Fault detection and isolation. His work deals with themes such as Machine learning and Artificial intelligence, which intersect with Home automation.
His main research concerns Data science, Wireless sensor network, Artificial intelligence, Activity recognition and Complex network. The study incorporates disciplines such as Ubiquitous computing, Structure, Open research and Cyber-physical system in addition to Data science. Simon Dobson studies Context-aware pervasive systems which is a part of Ubiquitous computing.
His study in Wireless sensor network is interdisciplinary in nature, drawing from both Service provider, Software, Software deployment and Linear model. His Artificial intelligence research incorporates elements of Machine learning, State and Autonomic computing. Simon Dobson works mostly in the field of Activity recognition, limiting it down to topics relating to Home automation and, in certain cases, Semantics, Data mining, Statistical model, Feature learning and Human–computer interaction.
Simon Dobson mainly investigates Artificial intelligence, Activity recognition, Ubiquitous computing, Home automation and Complex network. His Artificial intelligence research includes elements of Field, Machine learning, State and Autonomic computing. His study explores the link between Activity recognition and topics such as Semantics that cross with problems in Binary sensors, Fault detection and isolation, Anomaly detection, Identification and Domain knowledge.
His Ubiquitous computing study combines topics in areas such as Multi-agent system, Middleware, Open research and Data science. The study incorporates disciplines such as Knowledge management, Semantic Web, Frame, Context awareness and Interoperability in addition to Data science. Simon Dobson interconnects Social Semantic Web, Service discovery, Data stream mining and World Wide Web in the investigation of issues within Context-aware pervasive systems.
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A survey of autonomic communications
Simon Dobson;Spyros Denazis;Antonio Fernández;Dominique Gaïti.
ACM Transactions on Autonomous and Adaptive Systems (2006)
Context is key
Joëlle Coutaz;James L. Crowley;Simon Dobson;David Garlan.
Communications of The ACM (2005)
Review: Situation identification techniques in pervasive computing: A review
Juan Ye;Simon Dobson;Susan McKeever.
Pervasive and Mobile Computing (2012)
Ontology-based models in pervasive computing systems
Juan Ye;Lorcan Coyle;Simon Dobson;Paddy Nixon.
Knowledge Engineering Review (2007)
Fulfilling the Vision of Autonomic Computing
S. Dobson;R. Sterritt;P. Nixon;M. Hinchey.
IEEE Computer (2010)
Energy-Efficient Sensing in Wireless Sensor Networks Using Compressed Sensing
Mohammad Abdur Razzaque;Simon Andrew Dobson.
Compression in wireless sensor networks: A survey and comparative evaluation
M. A. Razzaque;Chris Bleakley;Simon Dobson.
ACM Transactions on Sensor Networks (2013)
Activity recognition using temporal evidence theory
Susan Mckeever;Juan Ye;Lorcan Coyle;Chris Bleakley.
ambient intelligence (2010)
High-Accuracy Reference-Free Ultrasonic Location Estimation
M. M. Saad;C. J. Bleakley;T. Ballal;S. Dobson.
IEEE Transactions on Instrumentation and Measurement (2012)
Social sensors and pervasive services: Approaches and perspectives
Alberto Rosi;Marco Mamei;Franco Zambonelli;Simon Dobson.
pervasive computing and communications (2011)
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