What is he best known for?
The fields of study he is best known for:
- Computer network
- Artificial intelligence
- Operating system
His primary scientific interests are in Artificial intelligence, Computer network, Computer vision, Algorithm and Distributed computing.
The Sensor fusion research Nageswara S. V. Rao does as part of his general Artificial intelligence study is frequently linked to other disciplines of science, such as Fusion center, therefore creating a link between diverse domains of science.
The study of Computer network is intertwined with the study of The Internet in a number of ways.
His study in Computer vision is interdisciplinary in nature, drawing from both Mobile robot navigation and Robot, Mobile robot.
His research in Algorithm intersects with topics in Wireless sensor network, Radioactive source and Particle detector.
His biological study spans a wide range of topics, including Function, Channel allocation schemes, Nash equilibrium, Cloud computing and Cyber-physical system.
His most cited work include:
- On computing mobile agent routes for data fusion in distributed sensor networks (244 citations)
- Robot navigation in unknown terrains using learned visibility graphs. Part I: The disjoint convex obstacle case (133 citations)
- Ultrascience net: network testbed for large-scale science applications (118 citations)
What are the main themes of his work throughout his whole career to date?
Nageswara S. V. Rao mainly focuses on Distributed computing, Computer network, Algorithm, Artificial intelligence and Wireless sensor network.
His Distributed computing study combines topics in areas such as Node, Provisioning, Data transmission and Nash equilibrium.
Nageswara S. V. Rao interconnects Throughput and The Internet in the investigation of issues within Computer network.
His Algorithm research incorporates elements of Function and Mathematical optimization.
His research in Artificial intelligence focuses on subjects like Computer vision, which are connected to Robot, Mobile robot and Mobile robot navigation.
The concepts of his Wireless sensor network study are interwoven with issues in Data mining, Key distribution in wireless sensor networks, Real-time computing, Simulation and Sensor fusion.
He most often published in these fields:
- Distributed computing (24.73%)
- Computer network (21.74%)
- Algorithm (18.48%)
What were the highlights of his more recent work (between 2014-2021)?
- Distributed computing (24.73%)
- Big data (4.35%)
- Nash equilibrium (6.25%)
In recent papers he was focusing on the following fields of study:
Nageswara S. V. Rao spends much of his time researching Distributed computing, Big data, Nash equilibrium, Computer network and Data transmission.
Distributed computing and Throughput are two areas of study in which Nageswara S. V. Rao engages in interdisciplinary research.
He focuses mostly in the field of Big data, narrowing it down to matters related to Performance prediction and, in some cases, Overhead, Data pre-processing, Machine learning and Artificial intelligence.
As a part of the same scientific family, Nageswara S. V. Rao mostly works in the field of Artificial intelligence, focusing on Sequential probability ratio test and, on occasion, Radiation.
His Nash equilibrium research includes themes of Computer security, System of systems and Cloud computing.
His Algorithm research is multidisciplinary, incorporating perspectives in Projection and Sensor fusion.
Between 2014 and 2021, his most popular works were:
- Defense of Cyber Infrastructures Against Cyber‐Physical Attacks Using Game‐Theoretic Models (32 citations)
- Cross-geography scientific data transferring trends and behavior (30 citations)
- Network algorithms for detection of radiation sources (22 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- Operating system
The scientist’s investigation covers issues in Distributed computing, Computer network, Data transmission, Nash equilibrium and Wireless sensor network.
His Distributed computing research is multidisciplinary, incorporating elements of Testbed, File transfer, Provisioning and Lyapunov exponent.
His research investigates the connection between Computer network and topics such as Throughput that intersect with problems in Transfer.
In his study, which falls under the umbrella issue of Data transmission, Profiling is strongly linked to Big data.
His work deals with themes such as Computer security, Cloud computing, Cyber-physical system and Resilience, which intersect with Nash equilibrium.
His Wireless sensor network research integrates issues from Tracking and Real-time computing.
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