What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- The Internet
Suman Nath mainly focuses on Wireless sensor network, The Internet, Distributed computing, Computer network and Real-time computing.
His Wireless sensor network course of study focuses on Key distribution in wireless sensor networks and Multimedia, Focus and SIMPLE.
His The Internet research includes themes of Graphical user interface, Decision support system and Directory.
Suman Nath interconnects Network packet, Correctness, Multipath routing, Network topology and Robustness in the investigation of issues within Distributed computing.
In the subject of general Computer network, his work in Host is often linked to TRACE, thereby combining diverse domains of study.
His Real-time computing research includes elements of Middleware, Scalability, Efficient energy use and Server.
His most cited work include:
- Energy-aware server provisioning and load dispatching for connection-intensive internet services (605 citations)
- Synopsis diffusion for robust aggregation in sensor networks (481 citations)
- IrisNet: an architecture for a worldwide sensor Web (435 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Distributed computing, World Wide Web, Scalability, Data mining and Computer network.
His research in Distributed computing intersects with topics in Network topology and Wireless sensor network.
Wireless sensor network and The Internet are frequently intertwined in his study.
The Web page and Mobile apps research Suman Nath does as part of his general World Wide Web study is frequently linked to other disciplines of science, such as Mobile deep linking, therefore creating a link between diverse domains of science.
In his research on the topic of Scalability, Service and Cloud computing is strongly related with Key.
His research in Data mining tackles topics such as Search engine indexing which are related to areas like Microblogging and Social media.
He most often published in these fields:
- Distributed computing (17.11%)
- World Wide Web (13.37%)
- Scalability (13.37%)
What were the highlights of his more recent work (between 2013-2021)?
- World Wide Web (13.37%)
- Scalability (13.37%)
- Cloud computing (9.09%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in World Wide Web, Scalability, Cloud computing, Data mining and Computer network.
Suman Nath combines subjects such as Android and Use case with his study of World Wide Web.
His Scalability study also includes fields such as
- Key that connect with fields like Wireless network, Service and Analytics,
- Artificial intelligence which intersects with area such as Task analysis and Context awareness.
His Cloud computing study integrates concerns from other disciplines, such as Computer security and Web modeling.
His Data mining research is multidisciplinary, relying on both Computational science, Memory management, Social media, Microblogging and Search engine indexing.
His work in the fields of Computer network, such as PATH, intersects with other areas such as Stateful firewall.
Between 2013 and 2021, his most popular works were:
- PUMA: programmable UI-automation for large-scale dynamic analysis of mobile apps (247 citations)
- Automatic and scalable fault detection for mobile applications (96 citations)
- DECAF: detecting and characterizing ad fraud in mobile apps (95 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- The Internet
World Wide Web, Computer security, Database, Operating system and Scalability are his primary areas of study.
The various areas that Suman Nath examines in his World Wide Web study include Android and Use case.
His studies deal with areas such as Mobile security, Bluetooth and Computer network as well as Computer security.
His work deals with themes such as Web application, Search engine and Web modeling, which intersect with Database.
His Scalability research integrates issues from Social media, Microblogging, Event, Key and Search engine indexing.
His work in Search engine indexing addresses subjects such as Data mining, which are connected to disciplines such as Function, Mobile computing, Machine learning and Artificial intelligence.
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