Cauligi S. Raghavendra

What is he best known for?

The fields of study he is best known for:

• Computer network
• Operating system
• The Internet

Cauligi S. Raghavendra mostly deals with Computer network, Distributed computing, Wireless sensor network, Wireless ad hoc network and Network packet. His studies link Efficient energy use with Computer network. The concepts of his Distributed computing study are interwoven with issues in Scheduling, Interconnection and Destination-Sequenced Distance Vector routing.

His studies in Wireless sensor network integrate themes in fields like Wireless communication systems, Sensor node, Wireless network, Real-time computing and Sensor fusion. His studies examine the connections between Wireless ad hoc network and genetics, as well as such issues in Mobile ad hoc network, with regards to Directional antenna. The Wireless Routing Protocol study which covers Dynamic Source Routing that intersects with Link-state routing protocol.

His most cited work include:

• PEGASIS: Power-efficient gathering in sensor information systems (3089 citations)
• Spray and wait: an efficient routing scheme for intermittently connected mobile networks (2271 citations)
• Power-aware routing in mobile ad hoc networks (1866 citations)

What are the main themes of his work throughout his whole career to date?

Computer network, Distributed computing, Parallel computing, Wireless sensor network and Hypercube are his primary areas of study. Cauligi S. Raghavendra focuses mostly in the field of Computer network, narrowing it down to topics relating to Wireless ad hoc network and, in certain cases, Mobile ad hoc network. His Distributed computing study integrates concerns from other disciplines, such as Node, Network topology, Schedule and Scalability.

His research in Parallel computing intersects with topics in Load balancing and Ray tracing. In his research, Wireless is intimately related to Real-time computing, which falls under the overarching field of Wireless sensor network. His Link-state routing protocol research incorporates themes from Static routing and Dynamic Source Routing.

He most often published in these fields:

• Computer network (35.34%)
• Distributed computing (28.62%)
• Parallel computing (18.37%)

What were the highlights of his more recent work (between 2009-2021)?

• Computer network (35.34%)
• Distributed computing (28.62%)
• Scalability (4.59%)

In recent papers he was focusing on the following fields of study:

Cauligi S. Raghavendra mainly focuses on Computer network, Distributed computing, Scalability, Scheduling and Network topology. Cauligi S. Raghavendra has included themes like Transfer and Cloud computing in his Computer network study. His Distributed computing research incorporates elements of Mobile ad hoc network, Security token, Routing protocol and Delay-tolerant networking.

His biological study spans a wide range of topics, including Network performance and Mathematical optimization, Heuristics. Cauligi S. Raghavendra has researched Mathematical optimization in several fields, including Q-learning, Reinforcement learning and Wireless sensor network. In his study, Artificial intelligence is inextricably linked to Energy conservation, which falls within the broad field of Wireless sensor network.

Between 2009 and 2021, his most popular works were:

• GoFFish: A Sub-graph Centric Framework for Large-Scale Graph Analytics (74 citations)
• Datacenter Traffic Control: Understanding Techniques and Tradeoffs (61 citations)
• Perfusion Neuroimaging Abnormalities Alone Distinguish National Football League Players from a Healthy Population (27 citations)

In his most recent research, the most cited papers focused on:

• Computer network
• Operating system
• Algorithm

The scientist’s investigation covers issues in Computer network, Cloud computing, Artificial lift, Load balancing and Distributed computing. His study in Network topology, Software-defined networking, Delay-tolerant networking, Security token and Cellular network falls within the category of Computer network. Cauligi S. Raghavendra interconnects Network performance, Server and Traffic shaping in the investigation of issues within Network topology.

His work in Cloud computing tackles topics such as Scalability which are related to areas like Bulk synchronous parallel, Distance and Leverage. His research integrates issues of Scheduling and Point-to-multipoint communication in his study of Load balancing. His Distributed computing study incorporates themes from Theoretical computer science, Mobile ad hoc network, Node, Graph and Flow control.