What is he best known for?
The fields of study he is best known for:
- Computer network
- Operating system
- Artificial intelligence
His main research concerns Computer network, Mobile device, Data mining, Identifier and Subject matter.
His Computer network research is multidisciplinary, incorporating elements of Network access point, Terminal and Rogue access point.
His Mobile device research is multidisciplinary, incorporating perspectives in Mobile database, Real-time computing, Embedded system and Spectrum analyzer.
His work carried out in the field of Embedded system brings together such families of science as Level of detail, Granularity and Mobile station.
The concepts of his Data mining study are interwoven with issues in Classifier, Motion, Software and Point of interest.
His work on Unique identifier and Network Service Access Point Identifier as part of general Identifier research is often related to Transition, thus linking different fields of science.
His most cited work include:
- Adaptive Observation of Behavioral Features on a Mobile Device (302 citations)
- On-line behavioral analysis engine in mobile device with multiple analyzer model providers (225 citations)
- Providing multiple levels of service for wireless communication (141 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Computer network, Mobile device, Real-time computing, Identifier and Node.
His research integrates issues of Wireless, Wireless network, Terminal and Distributed computing in his study of Computer network.
His Mobile device research includes themes of Implementation, Embedded system and Spectrum analyzer.
His Real-time computing study incorporates themes from Mobile station, Base station and Station.
His studies deal with areas such as Network access point, Point and Data mining as well as Identifier.
Network Access Device is closely connected to Hidden node problem in his research, which is encompassed under the umbrella topic of Node.
He most often published in these fields:
- Computer network (45.35%)
- Mobile device (26.36%)
- Real-time computing (18.99%)
What were the highlights of his more recent work (between 2013-2019)?
- Mobile device (26.36%)
- Computer network (45.35%)
- Real-time computing (18.99%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Mobile device, Computer network, Real-time computing, Software and Embedded system.
His Mobile device research incorporates elements of Graph, Augmented reality, Granularity and Received signal strength indication.
He integrates Computer network with Behavioral analysis in his research.
His studies in Real-time computing integrate themes in fields like Data flow diagram, Level of detail, Heuristics and Feature.
His study on Software also encompasses disciplines like
- Data mining and related Machine learning and Artificial intelligence,
- Malware which is related to area like Variation, Distributed computing and Vehicle behavior.
His study in Embedded system is interdisciplinary in nature, drawing from both Transmission, Computer hardware and Power control.
Between 2013 and 2019, his most popular works were:
- Adaptive Observation of Behavioral Features on a Mobile Device (302 citations)
- APIs for Obtaining Device-Specific Behavior Classifier Models from the Cloud (81 citations)
- Methods and systems of using application-specific and application -type-specific models for the efficient classification of mobile device behaviors (72 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Operating system
- Artificial intelligence
His scientific interests lie mostly in Mobile device, Software, Data mining, Classifier and Behavioral analysis.
His Mobile device research includes elements of Persona, Countermeasure, Real-time computing, Embedded system and Malware.
The Embedded system study combines topics in areas such as Level of detail, Granularity and Cipher.
His research in Data mining intersects with topics in Machine learning and Artificial intelligence.
His Classifier research focuses on Mobile computing and how it relates to Binary analysis, Cloud computing, Honeypot and Provisioning.
His study on Radio access technology is often connected to Set as part of broader study in Computer network.
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