What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- The Internet
His primary scientific interests are in The Internet, Computer security, Cloud computing, SCADA and Cluster analysis.
His The Internet research is multidisciplinary, relying on both Quality of service, Telecommunications and Multimedia.
Zahir Tari has included themes like Overlay network, Service, Database and Big data in his Cloud computing study.
His Cluster analysis study combines topics from a wide range of disciplines, such as Distributed computing and Data mining, Identification.
His Distributed computing research integrates issues from Scalability and Server.
The various areas that he examines in his Data mining study include Correlation clustering, Canopy clustering algorithm, Consensus clustering, Fuzzy clustering and Data stream clustering.
His most cited work include:
- A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis (537 citations)
- On The Move to Meaningful Internet Systems 2003: CoopIS, DOA, and ODBASE (219 citations)
- On the Move to Meaningful Internet Systems 2002: CoopIS, DOA, and ODBASE (149 citations)
What are the main themes of his work throughout his whole career to date?
Zahir Tari mostly deals with Distributed computing, Computer network, The Internet, Cloud computing and Web service.
In his research on the topic of Distributed computing, Real-time computing is strongly related with Queue.
Computer network is closely attributed to Wireless in his research.
The Internet is a subfield of World Wide Web that Zahir Tari tackles.
The study incorporates disciplines such as Computer security, Virtual machine and Big data in addition to Cloud computing.
His study in Web service is interdisciplinary in nature, drawing from both Matching, SOAP, Service and Interoperability.
He most often published in these fields:
- Distributed computing (29.97%)
- Computer network (20.47%)
- The Internet (13.06%)
What were the highlights of his more recent work (between 2015-2021)?
- Distributed computing (29.97%)
- Cloud computing (11.87%)
- Quality of service (9.50%)
In recent papers he was focusing on the following fields of study:
Distributed computing, Cloud computing, Quality of service, Artificial intelligence and Computer security are his primary areas of study.
His Distributed computing research includes themes of Workload, Scalability, Resource allocation and Server.
His Cloud computing study integrates concerns from other disciplines, such as Virtual machine, Scheme, Key, Data science and Big data.
His research in Quality of service intersects with topics in Optimization problem, The Internet and Dataflow.
His biological study spans a wide range of topics, including Machine learning and Pattern recognition.
His studies deal with areas such as Stability, Traffic classification and Data mining as well as Cluster analysis.
Between 2015 and 2021, his most popular works were:
- An Efficient Privacy-Preserving Ranked Keyword Search Method (73 citations)
- BDCaM: Big Data for Context-Aware Monitoring—A Personalized Knowledge Discovery Framework for Assisted Healthcare (58 citations)
- An Efficient Data-Driven Clustering Technique to Detect Attacks in SCADA Systems (53 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- The Internet
Cloud computing, Artificial intelligence, Distributed computing, Big data and Computer security are his primary areas of study.
His Cloud computing study combines topics in areas such as Data modeling, Service provider and Virtual machine.
His Artificial intelligence research includes elements of Machine learning and Pattern recognition.
Zahir Tari combines subjects such as Workload, Quality of service, Data center and Cluster analysis with his study of Distributed computing.
Big data is a subfield of Data mining that Zahir Tari studies.
His Authentication, Cryptography and Encryption study in the realm of Computer security interacts with subjects such as Computational trust.
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.
