What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Computer network
His scientific interests lie mostly in Distributed computing, Computer network, Mobile computing, Middleware and Wireless ad hoc network.
His Distributed computing study integrates concerns from other disciplines, such as Loose coupling, Service, Event, Component and Reinforcement learning.
His Mobile computing research incorporates themes from Wireless and Ubiquitous computing.
His Ubiquitous computing research is multidisciplinary, incorporating elements of World Wide Web, Mobile device, Usability, Authentication and Trust management.
His study in Middleware is interdisciplinary in nature, drawing from both Wireless sensor network and Software deployment.
His Wireless ad hoc network research includes themes of Mobile ad hoc network and Wireless Routing Protocol.
His most cited work include:
- Using trust for secure collaboration in uncertain environments (326 citations)
- A framework for developing mobile, context-aware applications (298 citations)
- STEAM: event-based middleware for wireless ad hoc networks (209 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Distributed computing, Computer network, Mobile computing, Wireless ad hoc network and Ubiquitous computing.
His Distributed computing study combines topics from a wide range of disciplines, such as Middleware, Event, Programming paradigm and Reinforcement learning.
His research investigates the connection between Computer network and topics such as Vehicular ad hoc network that intersect with problems in Ad hoc wireless distribution service.
His research brings together the fields of Wireless and Mobile computing.
In most of his Wireless ad hoc network studies, his work intersects topics such as Network topology.
His study of Context-aware pervasive systems is a part of Ubiquitous computing.
He most often published in these fields:
- Distributed computing (36.70%)
- Computer network (14.98%)
- Mobile computing (10.49%)
What were the highlights of his more recent work (between 2010-2018)?
- Smart grid (4.87%)
- Distributed computing (36.70%)
- Artificial intelligence (7.49%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Smart grid, Distributed computing, Artificial intelligence, Computer network and Simulation.
His Smart grid research integrates issues from Wind power, Electricity, Demand response, Reliability engineering and Electrical grid.
The various areas that he examines in his Distributed computing study include Ubiquitous computing, Key distribution in wireless sensor networks, Wireless sensor network and Data mining.
His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning, Computer vision and Traffic flow.
His biological study spans a wide range of topics, including Wireless ad hoc network and Vehicular ad hoc network.
His Simulation study combines topics from a wide range of disciplines, such as VisSim, Real-time computing, Mathematical optimization and Traffic simulation.
Between 2010 and 2018, his most popular works were:
- On-ramp traffic merging using cooperative intelligent vehicles: A slot-based approach (59 citations)
- Residential electrical demand forecasting in very small scale: An evaluation of forecasting methods (54 citations)
- Accelerating Learning in multi-objective systems through Transfer Learning (27 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Computer network
His main research concerns Simulation, Real-time computing, Smart grid, Distributed computing and Demand forecasting.
He studied Simulation and Renewable energy that intersect with Electricity.
His Real-time computing research integrates issues from Intelligent agent, Set, VisSim, Adaptation and Traffic congestion.
His Smart grid study integrates concerns from other disciplines, such as Reliability engineering, Computer engineering, Demand response and Optimal control.
His Distributed computing research incorporates themes from Multi-task learning, Ubiquitous computing, Wireless sensor network, Node and Reinforcement learning.
His Demand forecasting research includes elements of Artificial neural network, Microgrid, Moving average and Fuzzy logic.
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