What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Electrical engineering
His primary areas of investigation include Power management, Wireless sensor network, Energy harvesting, Embedded system and Wireless.
His work deals with themes such as Energy consumption and Efficient energy use, which intersect with Power management.
His study on Wireless sensor network also encompasses disciplines like
- Solar energy, Sensor web and Mobile wireless sensor network most often made with reference to Sensor node,
- Distributed computing which intersects with area such as Application software and Communications protocol.
The Energy harvesting study combines topics in areas such as Battery, Energy conservation and Electronic engineering.
His Embedded system research focuses on Energy management and how it connects with Systems analysis and Systems design.
His Wireless research incorporates elements of Computer network, Mobile computing, Mobile radio and Mobile device.
His most cited work include:
- Energy-aware wireless microsensor networks (1532 citations)
- Design considerations for solar energy harvesting wireless embedded systems (495 citations)
- Emerging techniques for long lived wireless sensor networks (390 citations)
What are the main themes of his work throughout his whole career to date?
Vijay Raghunathan spends much of his time researching Embedded system, Efficient energy use, Wireless sensor network, Wireless and Computer network.
His study in Embedded system is interdisciplinary in nature, drawing from both Dram, Software and Static random-access memory.
His Efficient energy use research includes elements of Energy consumption and Algorithm.
The concepts of his Wireless sensor network study are interwoven with issues in Energy management, Energy harvesting, Sensor node, Key distribution in wireless sensor networks and Photovoltaic system.
His Sensor node research is multidisciplinary, incorporating elements of Communications protocol and Energy storage.
Vijay Raghunathan has included themes like Wireless network, Wireless mesh network, Distributed computing and Throughput in his Computer network study.
He most often published in these fields:
- Embedded system (35.82%)
- Efficient energy use (25.37%)
- Wireless sensor network (25.37%)
What were the highlights of his more recent work (between 2016-2021)?
- Efficient energy use (25.37%)
- Embedded system (35.82%)
- Field-programmable gate array (7.46%)
In recent papers he was focusing on the following fields of study:
Vijay Raghunathan mostly deals with Efficient energy use, Embedded system, Field-programmable gate array, Context and Dram.
His Efficient energy use study combines topics from a wide range of disciplines, such as Nios II, Lookup table, Set and Graphics.
His study explores the link between Embedded system and topics such as Static random-access memory that cross with problems in Non-volatile memory.
The various areas that Vijay Raghunathan examines in his Dram study include Home automation, Overcurrent, Random access memory, Parallel computing and Address space.
In his study, which falls under the umbrella issue of Microcontroller, Wearable computer, FLOPS, Host, Software and Transmission is strongly linked to State.
He has researched Stratix in several fields, including Random number generation, Computer engineering, Energy consumption, Hardware security module and Smart camera.
Between 2016 and 2021, his most popular works were:
- Quality Configurable Approximate DRAM (39 citations)
- Design and Management of Battery-Supercapacitor Hybrid Electrical Energy Storage Systems for Regulation Services (39 citations)
- Towards Full-System Energy-Accuracy Tradeoffs: A Case Study of An Approximate Smart Camera System (25 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Electrical engineering
His main research concerns Stratix, Field-programmable gate array, Embedded system, Energy consumption and Smart camera.
His Field-programmable gate array research incorporates themes from Dram and Computer engineering.
His studies in Computer engineering integrate themes in fields like Random access memory and Refresh rate.
His biological study spans a wide range of topics, including Reliability and Static random-access memory.
Much of his study explores Energy consumption relationship to Efficient energy use.
His work carried out in the field of Smart camera brings together such families of science as Real-time computing, Camera module, Memory module and Computational science.
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.
